Publications

(*=corresponding author)

2024

  • [P6] Chengzhi Zhang, Yi Zhang, Philipp Mayr, Wei Lu, Arho Suominen, Haihua Chen and Ying Ding. Proceedings of Joint Workshop of the 5th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2024) and the 4th AI + Informetrics (AII2024),co-located with iConference2024, Changchun, China and Online, April 23~24, 2024. [Proceedings]
  • [J80] Yuzhuo Wang, Yi Xiang, Chengzhi Zhang*. Exploring Motivations for Algorithm Mention in the Domain of Natural Language Processing: A Deep Learning Approach. Journal of Informetrics, 2024, 18(4): 101550 [doi].
  • [J79] Yingyi Zhang, Chengzhi Zhang*. Extracting Problem and Method Sentence from Scientific Papers: A Context-enhanced Transformer Using Formulaic Expression Desensitization. Scientometrics, 2024, 29(6): 3433-3468. [doi] [Dataset & Source Code]
  • [J78] Wenqing Wu, Haixu Xi, Chengzhi Zhang*. Are the confidence scores of reviewers consistent with the review content? Evidence from top conference proceedings in AI. Scientometrics, 2024, 129(7): 4109–4135. [doi] [Dataset & Source Code]
  • [J77] Yi Zhao, Yuzhuo Wang, Heng Zhang, Donghun Kim, Chao Lu, Yongjun Zhu*, Chengzhi Zhang*. Do more heads imply better performance? An empirical study of team thought leaders’ impact on scientific team performance. Information Processing and Management, 2024, 61(4): 103757. [doi]
  • [J76] Xinyi Yan, Yingyi Zhang, Chengzhi Zhang*. Utilizing Cognitive Signals Generated during Human Reading to Enhance Keyphrase Extraction from Microblogs. Information Processing and Management, 2024, 61(2): 103614. [doi] [Dataset & Source Code]
  • [J75] Heng Zhang, Chengzhi Zhang*, Yuzhuo Wang. Revealing the Technology Development of Natural Language Processing: A Scientific Entity-Centric Perspective. Information Processing and Management, 2024, 61(1): 103574. [doi] [Dataset & Source Code]
  • [J74] Yuzhuo Wang, Chengzhi Zhang*, Min Song, Seong Deok Kim, Youngsoo Ko, Juhee Lee. Exploring Academic Influence of Algorithms by Co-occurrence Network Based on Full-text of Academic Papers. Aslib Journal of Information Management, 2024. [doi]
  • [J73] Yi Zhang, Chengzhi Zhang, Philipp Mayr, Arho Suominen, Ying Ding. An editorial of “AI + informetrics”: Robust models for large-scale analytics. Information Processing and Management, 2024, 61(1): 103495. [doi]
  • [J72] Ziling Chen, Chengzhi Zhang*, Heng Zhang, Yi Zhao, Chen Yang, and Yang Yang. Exploring the Relationship Between Team Institutional Composition and Novelty in Academic Papers Based on Fine-Grained Knowledge Entities. The Electronic Library, 2024.(in press) [doi] [Dataset & Source Code]
  • [J71] Chen Yang, Yuzhuo Wang, Chengzhi Zhang*. Unveiling Novelty Evolution in the field of Library and Information Science in China. The Electronic Library, 2024.(in press) [doi]
  • [J70] Yang Liu, Jiale Shi, Fei Huang, Jingrui Hou, Chengzhi Zhang. Unveiling customer preferences in automotive reviews through aspect-based opinion generation. Journal of Retailing and Consumer Services, 2024, 77: 103605. [doi]
  • [J69] Yang Liu, Chenxu Zhao, Chengzhi Zhang. Understanding COVID-19 vaccine hesitancy of different regions in the post-epidemic era: A causality deep learning approach. Digital Health, 2024, 10. [doi]
  • [J68] Yang Liu, Xingchen Ding, Shun Peng, Chengzhi Zhang. Leveraging ChatGPT to optimize depression intervention through explainable deep learning. Frontiers in Psychiatry, 2024, 15, 1383648. [doi]
  • [C88] Jingyu Zhang, Xinyi Yan, Yi Xiang, Yingyi Zhang, Chengzhi Zhang*. Building a Multimodal Dataset of Academic Paper for Keyword Extraction. In: Proceedings of 2024 Annual Meeting of the Association for Information Science and Technology (ASIST’2024), Calgary, Canada, 2024.
  • [C87] Yi Xiang, Xinyi Yan, Chengzhi Zhang*. Enhancing Keyword Extraction from Academic Articles Using Highlights. In: Proceedings of 2024 Annual Meeting of the Association for Information Science and Technology (ASIST’2024), Calgary, Canada, 2024.
  • [C86] Yi Zhao, Heng Zhang, Wenqing Wu, Tong Bao and Chengzhi Zhang*. Measuring the Novelty of Scientific Papers Based on the Latent Distance Between Pairs of MeSH Terms. In: Proceedings of the 24th ACM/IEEE Joint Conference on Digital Libraries (JCDL2024), Hong Kong, China, 2024. [doi]
  • [C85] Wenqing Wu, Chengzhi Zhang* and Yi Zhao. Which Types of Word Embedding Models are More Effective for Novelty Measurement? In: Proceedings of the 24th ACM/IEEE Joint Conference on Digital Libraries (JCDL2024), Hong Kong, China, 2024. [doi]
  • [C84] Haixu Xi, Chengzhi Zhang* and Heng Zhang. Enhancing Academic Paper Recommendations via Fine-Grained Knowledge Entities and Multidimensional Document Embeddings. In: Proceedings of the 24th ACM/IEEE Joint Conference on Digital Libraries (JCDL2024), Hong Kong, China, 2024. [doi]
  • [C83] Yingyi Zhang, Chengzhi Zhang*. Data Augmentation on Problem and Method Sentence Classification Task in Scientific Paper: A Mechanism Analysis Study. In: Proceedings of iConference2024. March 15-18, 2024, Changchun, China. [doi]
  • [C82] Haochuan Li, Yi Zhao, Heng Zhang, Yukuai Yang, Chengzhi Zhang*. The Relationship between the Scale of Fine-grained Knowledge Entities in Academic Articles and Articles’ Academic Impact. In: iConference 2024 Posters. March 15-18, 2024, Online. [pdf]

2023

  • [P5] Chengzhi Zhang, Yi Zhang, Philipp Mayr, Wei Lu, Arho Suominen, Haihua Chen and Ying Ding. Proceedings of Joint Workshop of the 4th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2023) and the 3rd AI + Informetrics (AII2023),co-located with the ACM/IEEE Joint Conference on Digital Libraries in 2023 (JCDL 2023), USA and Online, 26 June, 2023. [Proceedings] [DBLP]
  • [J67] Chengzhi Zhang, Philipp Mayr, Wei Lu, Yi Zhang. Guest editorial: Extraction and evaluation of knowledge entities in the age of artificial intelligence. Aslib Journal of Information Management, 2023, 75(3): 433-437. [doi]
  • [J66] Chengzhi Zhang, Liang Tian, Heting Chu. Usage Frequency and Application Variety of Research Methods in Library and Information Science: Continuous investigation from 1991 to 2021. Information Processing and Management, 2023, 60(6): 103507. [doi] [Demo]
  • [J65] Chengzhi Zhang, Siqi Wei, Yi Zhao, Liang Tian. Gender Differences in Research Topic and Method Selection in Library and Information Science: Perspectives from Three Top Journals. Library and Information Science Research, 2023, 45(3): 101255. [doi]
  • [J64] Chengzhi Zhang, Yi Xiang, Wenke Hao, Zhicheng Li, Yuchen Qian, Yuzhuo Wang. Automatic Recognition and Classification of Future Work Sentences from Academic Articles in a Specific Domain. Journal of Informetrics, 2023, 17(1): 101373. [doi] [arXiv] [Dataset & Source Code]
  • [J63] Chengzhi Zhang,Liang Tian. Non-synchronism in Global Usage of Research Methods in Library and Information Science from 1990 to 2019. Scientometrics, 2023, 128(7): 3981-4006. [doi]
  • [J62] Chenglei Qin, Chengzhi Zhang*. Which Structure of Academic Articles do Referees Pay more Attention to? Perspective of Peer Review and Full-text of Academic Articles. Aslib Journal of Information Management, 2023, 75(5): 884-916. [doi] [arXiv]
  • [J61] Lei Zhao, Yingyi Zhang, Chengzhi Zhang*. Does Attention Mechanism Possess the Feature of Human Reading? A Perspective of Sentiment Classification Task. Aslib Journal of Information Management, 2023, 75(1): 20-43. [doi] [arXiv]
  • [J60] Jiangyang Fu, Liang Tian, Chengzhi Zhang, Jiang Li. Opening research data contributes to the citations of related research articles: Evidence from Data in Brief. Learned Publishing, 2023, 36(3): 426-438. [doi]
  • [J59] Yang Liu, Jiale Shi, Chenxu Zhao, Chengzhi Zhang. Generalizing factors of Covid-19 vaccine attitudes in different regions: a summary generation and topic modeling approach. Digital Health, 2023, 9. [doi].
  • [J58] Minghui Meng, Ruxue Han, Jiangtao Zhong, Haomin Zhou, Chengzhi Zhang*. Aspect-based sentiment analysis of online peer reviews and prediction of paper acceptance results. Data Science and Informetrics, 2023, 3(1): 37-64. [pdf]
  • [C81] Chengzhi Zhang, Yi Zhang, Philipp Mayr, Wei Lu, Arho Suominen, Haihua Chen and Ying Ding. JCDL2023 Workshop: Joint Workshop of the 4th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2023) and the 3rd AI + Informetrics (AII2023). In: Proceedings of the 23th ACM/IEEE Joint Conference on Digital Libraries (JCDL2023), Santa Fe, New Mexico, USA, 2023. [doi]
  • [C80] Zhongyi Wang, Haihua Chen, Chengzhi Zhang, Wei Lu and Jian Wu. JCDL2023 Workshop: Innovation Measurement for Scientific Communication (IMSC) in the Era of Big Data. In: Proceedings of the 23th ACM/IEEE Joint Conference on Digital Libraries (JCDL2023), Santa Fe, New Mexico, USA, 2023. [doi]
  • [C79] Yuzhuo Wang, Yi Xiang, Yi Zhao, Chengzhi Zhang*. Exploring Mention Motivation of Algorithm Entities in Full-text of Academic Papers. In: Proceedings of the 19th International Conference on Scientometrics and Informetrics (ISSI 2023), Bloomington, IN, USA, 2023. [doi]
  • [C78] Siqi Wei, Liang Tian, Yi Zhao, Chengzhi Zhang*. Gender Differences in Research Method Usage in Library and Information Science. In: Proceedings of the 19th International Conference on Scientometrics and Informetrics (ISSI 2023), Bloomington, IN, USA, 2023. [doi]
  • [C77] Shuyu Peng, Heng Zhang, Chengzhi Zhang*. Investigation of Algorithm Mentions in Abstracts of LIS Papers. In: Proceedings of the 19th International Conference on Scientometrics and Informetrics (ISSI 2023), Bloomington, IN, USA, 2023. [doi]
  • [C76] Ruxue Han, Haomin Zhou, Jiangtao Zhong, Chenglei Qin, Chengzhi Zhang*. Aspect Sentiment Distribution and Change in Multiple Rounds of Peer Review Comments. In: Proceedings of the 19th International Conference on Scientometrics and Informetrics (ISSI 2023), Bloomington, IN, USA, 2023. [doi]
  • [C75] Haomin Zhou, Ruxue Han, Jiangtao Zhong, Chenglei Qin, Chengzhi Zhang*. Which Factors Have a greater Impact on Review Time? ——A Case Study of Nature Communication. In: Proceedings of the 19th International Conference on Scientometrics and Informetrics (ISSI 2023), Bloomington, IN, USA, 2023. [doi]
  • [C74] Jiaxin He, Shijin Zhang, Jiayu Zheng, Xinlong, Chu, Chengzhi Zhang*. What is Difference of Acknowledged Entities in different Disciplines? ——A Case Study of Doctoral Dissertations in Chinese Humanities and Social Sciences Discipline. In: Proceedings of the 19th International Conference on Scientometrics and Informetrics (ISSI 2023), Bloomington, IN, USA, 2023. [doi]
  • [C73] Xiaoting Li, Hanwen Xing, Hong Qiao, Yuzhuo Wang, Chengzhi Zhang*. Does Innovation of Algorithm Differ in Different Regions? —— A Case Study of Natural Language Processing Domain. In: Proceedings of the 19th International Conference on Scientometrics and Informetrics (ISSI 2023), Bloomington, IN, USA, 2023. [doi]

2022

  • [P4] Chengzhi Zhang, Philipp Mayr, Wei Lu, Yi Zhang. Proceedings of the 3rd Workshop on Extraction and Evaluation of Knowledge Entities from Scientific Documents(EEKE2022), co-located with the ACM/IEEE Joint Conference on Digital Libraries in 2022 (JCDL 2022), Germany and Online, 23~24 June, 2022. [Proceedings] [DBLP]
  • [J57] Yi Zhang, Chengzhi Zhang, Philipp Mayr & Arho Suominen. An editorial of “AI + informetrics”: multi-disciplinary interactions in the era of big data. Scientometrics, 2022, 127(11): 6503–6507. [doi]
  • [J56] Chengzhi Zhang, Lei Zhao, Mengyuan Zhao, Yingyi Zhang. Enhancing Keyphrase Extraction from Academic Articles with their Reference Information. Scientometrics, 2022, 127(2): 703–731. [doi] [arXiv] [Dataset & Source Code]
  • [J55] Yuzhuo Wang, Chengzhi Zhang*, Kai Li. A Review on Method Entities in the Academic Literature: Extraction, Evaluation, and Application. Scientometrics, 2022, 127(5): 2479–2520. [doi] [arXiv]
  • [J54] Bowen Ma, Chengzhi Zhang*, Yuzhuo Wang, Sanhong Deng. Enhancing Identification of Structure Function of Academic Articles Using Contextual Information. Scientometrics, 2022, 127(2): 885–925. [doi] [arXiv] [Dataset & Source Code]
  • [J53] Liang Tian, Chengzhi Zhang*. Using Hashtags to Analysis Purpose and Technology Application of Open-Source Project Related to COVID-19. Knowledge Organization, 2022, 49(3): 192–207. [doi] [arXiv] [Dataset & Source Code]
  • [J52] Yi Zhao, Lifan Liu, Chengzhi Zhang*. Is Coronavirus-Related Research Becoming More Interdisciplinary? A Perspective of Co-occurrence Analysis and Diversity Measure of Scientific Articles. Technological Forecasting & Social Change, 2022, 175: 121344. [doi] [arxiv]
  • [J51] Bowen Li, Liang Tian, Yingyi Zhang, Heng Zhang, Chengzhi Zhang. A Review on Method Framework Construction of Chinese Information Science. Data and Information Management, 2022, 6(4): 100023. [doi]
  • [J50] Haixu Xi, Chengzhi Zhang*, Yi Zhao, Sheng He. Public Emotional Diffusion over COVID-19 Related Tweets Posted by Major Public Health Agency in the United States. Data Intelligence, 2022, 4(1): 66–87. [doi]
  • [C72] Ruxue Han, Haomin Zhou, Jiangtao Zhong, Chengzhi Zhang*. Characterizing Peer Review Comments of Academic Articles in Multiple Rounds. In: Proceedings of the 85th Annual Meeting of the Association for Information Science and Technology (ASIS&T2022), Pittsburgh, PA, USA, 2022. [doi]
  • [C71] Chengzhi Zhang, Philipp Mayr, Wei Lu, Yi Zhang. JCDL2022 Workshop: Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2022). In: Proceedings of the 22th ACM/IEEE Joint Conference on Digital Libraries (JCDL2022), Cologne, Germany, 2022. [doi]

2021

  • [P3] Chengzhi Zhang, Philipp Mayr, Wei Lu, Yi Zhang. Proceedings of the 2nd Workshop on Extraction and Evaluation of Knowledge Entities from Scientific Documents(EEKE2021), co-located with the ACM/IEEE Joint Conference on Digital Libraries in 2021 (JCDL 2021), Virtual Event, USA, September 30th, 2021. [Proceedings] [DBLP]
  • [P2] Yi Zhang, Chengzhi Zhang, Philipp Mayr, and Arho Suominen. Proceedings of the 1st Workshop on AI + Informetrics (AII2021). co-located with the iConference2021, Virtual Event, China, March 17, 2021. [Proceedings] [DBLP]
  • [J49] Chengzhi Zhang, Lifan Liu, Yuzhuo Wang. Characterizing References from Different Disciplines: A Perspective of Citation Content Analysis. Journal of Informetrics, 2021, 15(2):101134. [doi] [arxiv]
  • [J48] Yingyi Zhang, Chengzhi Zhang*. Enhancing Keyphrase Extraction from Microblogs using Human Reading Time. Journal of the Association for Information Science and Technology, 2021, 72(5): 611-626. [doi] [arxiv]
  • [J47] Qingqing Zhou, Chengzhi Zhang*. Impacts Towards a comprehensive assessment of the book impact by integrating multiple evaluation sources. Journal of Informetrics, 2021, 15(3): 101195. [doi] [arxiv]
  • [J46] Qingqing Zhou, Chengzhi Zhang*. Breaking Community Boundary: Comparing Academic and Social Communication Preferences regarding Global Pandemics. Journal of Informetrics, 2021. 15(3): 101162. [doi] [arxiv]
  • [J45] Shutian Ma, Heng Zhang, Chengzhi Zhang*, Xiaozhong Liu. Chronological Citation Recommendation with Time Preference. Scientometrics, 2021,126(4): 2991-3010. [doi] [arxiv]
  • [J44] Chenglei Qin, Chengzhi Zhang*, Yi Bu. Exploring the Distribution Regularities of User Attention and Sentiment toward Product Aspects in Online Reviews. The Electronic Library, 2021. [doi] [arXiv]
  • [J43] Xiaolan Wu, Chengzhi Zhang*, Ningning Song, Weiwei Zhang and Yaya Bian. Psychological Health Status Evaluation of the Public in Different Areas under the Outbreak of Novel Coronavirus Pneumonia. International Journal of Computational Intelligence Systems, 2021, 14(1):978-990. [doi]
  • [J42] Heng Zhang, Chengzhi Zhang*. Using Full-text Content of Academic Articles to Build a Methodology Taxonomy of Information Science in China. Knowledge Organization, 2021,48(2): 126-139. [doi] [arxiv] [Demo: Methodology Taxonomy of Information Science in China]
  • [J41] Chengzhi Zhang, Philipp Mayr, Wei Lu and Yi Zhang. Guest Editorial: Extraction and Evaluation of Knowledge Entities from Scientific Documents. Journal of Data and Information Science, 2021, 6(3): 1-5. [doi]
  • [J40] Chengzhi Zhang, Philipp Mayr, Wei Lu and Yi Zhang. Editorial - Knowledge Entity Extraction and Text Mining in the Era of Big Data. Data and Information Management, 2021; 5(3): 309–311. [doi]
  • [J39] Chengzhi Zhang, Ruiyi Ding, Yuzhuo Wang. Algorithms Mention in full-text content of article from NLP Domain: Comparative Analysis between English and Chinese. Data Science and Informetrics, 2021, 1(2): 19-33. [pdf]
  • [J38] Yi Zhao, Haixu Xi, Chengzhi Zhang*. Exploration of Occupation Differences in Reactions to COVID-19 Pandemic on Twitter. Data and Information Management, 2021, 5(1): 110-118. [doi] [video]
  • [J37] Bowen Ma, Chengzhi Zhang*, Yuzhuo Wang. Exploring Significant Characteristics and Models for Classification of Structure Function of Academic Documents. Data and Information Management, 2021, 5(1): 65-74. [doi] [video]
  • [C70] Yuchen Qian, Zhicheng Li, Wenke Hao, Yuzhuo Wang, Chengzhi Zhang*. Using Future Work Sentences to Explore Research Trends of Different Tasks in a Special Domain. In: Proceedings of 2021 Annual Meeting of the Association for Information Science and Technology (ASIST’2021). Virtual, 2021.[doi] [video]
  • [C69] Wenke Hao, Yuchen Qain, Zhicheng Li, Yuzhuo Wang, Chengzhi Zhang*. Automatic Recognition and Classification of Future Work Sentences in Academic Articles in a Specific Domain. In: Proceedings of the 18th International Conference on Scientometrics and Informetrics (ISSI 2021), Online, 2021. (Poster) [video]
  • [C68] Chenglei Qin, Chengzhi Zhang*. Exploring the Distribution of Referees’ Comments in IMRaD Structure of Academic Articles. In: Proceedings of the 18th International Conference on Scientometrics and Informetrics (ISSI 2021), Online, 2021. (Poster) [video]
  • [C67] Yuzhuo Wang, Heng Zhang, Chengzhi Zhang*. Algorithm Entities Usage in Chinese Academic Articles from the Domain of Information Science. In: Proceedings of the 18th International Conference on Scientometrics and Informetrics (ISSI 2021), Online, 2021. (Poster) [video]
  • [C66] Yi Zhao, Yuzhuo Wang, Chengzhi Zhang*. A Bipartite Author-algorithm Network for Exploring Versatile Scholars. In: Proceedings of the 18th International Conference on Scientometrics and Informetrics (ISSI 2021), Online, 2021. (Poster) [video]
  • [C65] Minghui Meng, Yuzhuo Wang, Chengzhi Zhang*. Building Multi-level Aspects of Peer Reviews for Academic Articles. In: Proceedings of the 18th International Conference on Scientometrics and Informetrics (ISSI 2021), Online, 2021. (Poster) [video]
  • [C64] Ruping Wang, Liang Tian, Chenzhi Zhang*. Using Full-text Content of Academic Articles to Classify Research Methods in Library and Information Science. In: Proceedings of the 18th International Conference on Scientometrics and Informetrics (ISSI 2021), Online, 2021. (Poster) [video]
  • [C63] Li Yang, Jianfei Yu, Chengzhi Zhang, Jin-Cheon Na. Fine-Grained Sentiment Analysis of Political Tweets with Entity-Aware Multimodal Network. In: Proceedings of iConference2021. Virtual, March 17-31, 2021. [doi]

2020

  • [P1] Chengzhi Zhang, Philipp Mayr, Wei Lu, Yi Zhang. Proceedings of the 1st Workshop on Extraction and Evaluation of Knowledge Entities from Scientific Documents, co-located with the ACM/IEEE Joint Conference on Digital Libraries in 2020 (JCDL 2020), Virtual Event, China, August 1st, 2020. [Proceedings] [DBLP]
  • [J36] Chengzhi Zhang, Qingqing Zhou. Assessing Books’ Depth and Breadth via Multi-level Mining on Tables of Contents. Journal of Informetrics, 2020, 14(2): 101032. [doi]
  • [J35] Yingyi Zhang, Chengzhi Zhang*, Jing Li. Joint Modeling of Characters, Words, and Conversation Contexts for Microblog Keyphrase Extraction. Journal of the Association for Information Science and Technology, 2020, 71(5):553-567. [doi]
  • [J34] Yuzhuo Wang, Chengzhi Zhang*. Using the Full-text Content of Academic Articles to Identify and Evaluate Algorithm Entities in the Domain of Natural Language Processing . Journal of Informetrics, 2020, 14(4): 101091. [doi] [arxiv] [Demo: Algorithm Influence in NLP (1979~2015)] [Video]
  • [J33] Lei Li, Chengzhi Zhang*, Daqing He, Jia Tina Du. Researchers’ Judgment Criteria of High-quality Answers on Academic Social Q&A Platforms. Online Information Review. 2020, 44(3): 603-623. [doi]
  • [J32] Lei Li, Chengzhi Zhang*, Daqing He. Factors influencing the importance of criteria for judging answer quality on academic social Q&A platforms. Aslib Journal of Information Management, 2020, 72(6): 887-907. [doi]
  • [J31] Shutian Ma, Chengzhi Zhang*, Xiaozhong Liu. A Review of Citation Recommendation: From Textual Content to Enriched Context. Scientometrics, 2020, 122(3): 1445-1472. [doi]
  • [J30] Qingqing Zhou, Chengzhi Zhang*. Evaluating wider impacts of books via fine-grained mining on citation literatures. Scientometrics, 2020, 125(3): 1923–1948. [doi]
  • [J29] Qingqing Zhou, Chengzhi Zhang*. Measuring book impact via content-level academic review mining. The Electronic Library, 2020, 38(1): 138-154.[doi]
  • [J28] Bikun Chen, Dannan Deng, Zhouyan Zhong, Chengzhi Zhang. Exploring Linguistic Characteristics of Highly Browsed and Downloaded Academic Articles.Scientometrics, 2020, 122(3): 1769-1790. [doi]
  • [J27] Shuyi Wang, Chengzhi Zhang, Alexis Palmer. On Information Discovery with Machine Intelligence for Language. Information Discovery and Delivery, 2020, 48(3): 113-116. [doi]
  • [C62] Chengzhi Zhang, Philipp Mayr, Wei Lu, Yi Zhang. Extraction and Evaluation of Knowledge Entities from Scientific Documents: EEKE2020. In: Proceedings of the 20th ACM/IEEE Joint Conference on Digital Libraries (JCDL2020), Wuhan, China, 2020. [doi]
  • [C61] Heng Zhang, Lifan Liu, Ruping Wang, Shaohu Hu, Shutian Ma, Chengzhi Zhang*. IR&TM-NJUST@CLSciSumm 20. In: Proceedings of the First Workshop on Scholarly Document Processing (SDP2020), Online, 2020. [doi]
  • [C60] Wenke Hao, Zhicheng Li, Yuchen Qian, Yuzhuo Wang, Chengzhi Zhang*. The ACL FWS-RC: A Dataset for Recognition and Classification of Sentence about Future Works. In: Proceedings of the 20th ACM/IEEE Joint Conference on Digital Libraries (JCDL2020), Wuhan, China, 2020. [doi]
  • [C59]Bowen Ma, Yuzhuo Wang, Chengzhi Zhang*. CSAA: An Online Annotating Platform for Classifying Sections of Academic Articles. In: Proceedings of the 20th ACM/IEEE Joint Conference on Digital Libraries (JCDL2020), Wuhan, China, 2020. (Poster) [doi] [video]
  • [C58] Ruping Wang, Chengzhi Zhang*, Yingyi Zhang, Jinzhu Zhang. Extracting Methodological Sentences from Unstructured Abstracts of Academic Articles. In: Proceedings of iConference2020, Borås, Sweden, 23th-26th March, 2020. [doi]

2019

  • [J26] Chengzhi Zhang, Tiantian Tong, Yi Bu. Examining Differences among Book Reviews from Various Online Platforms. Online Information Review. 2019, 43(7): 1169-1187. [doi]
  • [J25] Chengzhi Zhang, Zijing Yue, Qingqing Zhou, Shutian Ma, Zike Zhang. Using social media to explore regional cuisine preferences in China. Online Information Review. 2019, 43(7): 1098-1114. [doi] [Demo]
  • [J24] Chao Lu, Yi Bu, Jie Wang, Ying Ding, Vetle Torvik, Matthew Schnaars, Chengzhi Zhang*. Examining scientific writing styles from the perspective of linguistic complexity. Journal of the Association for Information Science and Technology, 2019, 70(5):462-475. [doi]
  • [J23] Chao Lu, Yi Bu, Xianlei Dong, Jie Wang, Ying Ding, Vincent Larivière, Cassidy R. Sugimoto, Logan Paul, Chengzhi Zhang*. Analyzing Linguistic Complexity and Scientific Impact. Journal of Informetrics, 2019,13(3): 817-829. [doi]
  • [J22] Chengzhi Zhang, Hua Zhao, Xuehua Chi, Shuitian Ma. Information Organization Patterns from Online Users in a Social Network. Knowledge Organization. 2019, 46(2): 90-103. [PDF]
  • [J21] Xiaolan Wu, Chengzhi Zhang*. Finding High-Impact Interdisciplinary Users Based on Friend Discipline Distribution in Academic Social Networking Sites. Scientometrics, 2019, 119(2): 1017-1035. [doi]
  • [J20] Yuzhuo Wang, Chengzhi Zhang*. Examining similarities and differences of citation patterns between monographs and papers: A Case in Biology and Computer Science. Information Discovery and Delivery. 2019, 47(4): 229-241. [doi]
  • [J19] Chengzhi Zhang, Zhuo Li, Mengyuan Zhao, Jiahao Liu, Qingqing Zhou. Citing behavior of Chinese books based on citation content. Journal of Library Science in China, 2019, 11: 117-135.
  • [C57] Yingyi Zhang, Chengzhi Zhang*. Using Human Attention to Extract Keyphrase from Microblog Post. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL2019). Florence, Itlay, 2019. [doi]
  • [C56] Jin Xu, Chengzhi Zhang*, Shutian Ma. Similarity-based Feature Construction for Identification of Cited Text Spans. In: Proceedings of 2019 ASIST Workshop on Informetrics and Scientometrics Research (SIGMET2019), Melbourne, Australia, 2019. (Poster)
  • [C55] Shutian Ma, Heng Zhang, Tianxiang Xu, Jin Xu, Shaohu Hu, Chengzhi Zhang*. IR&TM-NJUST @ CLSciSumm-19. In: Proceedings of the 4th Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019), Paris, France, July, 2019. [PDF]
  • [C54] Lifan Liu, Yuzhuo Wang, Chengzhi Zhang*. Does Citation Content of References from Different Disciplines Demonstrate Same Distribution Pattern?. In: Proceedings of 2019 Annual Meeting of the Association for Information Science and Technology (ASIST’2019). Melbourne, Australia, October, 2019. (Poster) [doi]
  • [C53] Lei Li, Kun Huang, Edwin Mouda Ye, Chengzhi Zhang. Questions or Questioners: Factors Affecting Response Quantity on Academic Social Q&A Sites. In: Proceedings of 2019 Annual Meeting of the Association for Information Science and Technology (ASIST’2019). Melbourne, Australia, October, 2019. (Poster) [doi]
  • [C52] Heng Zhang, Shutian Ma, Chengzhi Zhang*. Using Full-text of Academic Articles to Find Software Clusters. In: Proceedings of the 17th International Conference on Scientometrics and Informetrics (ISSI 2019), Rome, Italy, 2019. (Poster) [PDF]
  • [C51] Ruiyi Ding, Yuzhuo Wang, Chengzhi Zhang*. Investigating Citation of Algorithm in Full-text of Academic Articles: A Preliminary Study. In: Proceedings of the 17th International Conference on Scientometrics and Informetrics (ISSI 2019), Rome, Italy, 2019. (Poster) [PDF]
  • [C50] Yuzhuo Wang, Chengzhi Zhang*. Finding More Methodological Entities from Academic Articles via Iterative Strategy: A Preliminary Study. In: Proceedings of the 17th International Conference on Scientometrics and Informetrics (ISSI 2019), Rome, Italy, 2019. (Poster) [PDF]
  • [C49] Lei Li, Daqing He, Chengzhi Zhang*. Characterizing High-Quality Answers for Different Question Types on Academic Social Q&A Site. In: Proceedings of the 17th International Conference on Scientometrics and Informetrics (ISSI 2019), Rome, Italy, 2019. (Poster) [PDF]
  • [C48]Qingqing Zhou, Chengzhi Zhang*. Using Citation Contexts to Evaluate Impact of Books. In: Proceedings of the 17th International Conference on Scientometrics and Informetrics (ISSI 2019), Rome, Italy, 2019. (Poster) [PDF]
  • [C47] Yingyi Zhang, Chengzhi Zhang*. Unsupervised Keyphrase Extraction in Academic Publications Using Human Attention. In: Proceedings of the 17th International Conference on Scientometrics and Informetrics (ISSI 2019), Rome, Italy, 2019. (Poster) [PDF]
  • [C46] Bikun Chen, Dannan Deng, Zhouyan Zhong, Chengzhi Zhang. Exploring Linguistic Characteristics of Highly Browsed and Downloaded Academic Articles. In: Proceedings of the 17th International Conference on Scientometrics and Informetrics (ISSI 2019), Rome, Italy, 2019. (Poster) [PDF]
  • [C45] Jin Xu, Chengzhi Zhang*, Shutian Ma. Ensemble System for Identification of Cited Text Spans: Based on Two Steps of Feature Selection. In: Proceedings of the 25th China Conference on Information Retrieval (CCIR2019). Fuzhou, China, September, 2019. [doi]
  • [C44] Lele Kang, Bei Luo, Chao Min, Qingqing Zhou, Chengzhi Zhang, Jiang Li. Which measurements are most relevant to peer review? ASIS&T Regional Conference 2019, Phnom Penh, Kingdom of Cambodia, 3-4 January, 2019.

2018

  • [J18] Chengzhi Zhang, Qingqing Zhou. Online Investigation of users’ attitudes using automatic question answering. Online Information Review. 2018, 42(3): 419-435. [doi]
  • [J17] Shutian Ma, Jin Xu, Chengzhi Zhang*. Automatic Identification of Cited Text Spans: A Multi-Classifier Approach over Imbalanced Dataset. Scientometrics, 2018, 116(2): 1303-1330. [doi]
  • [J16] Lei Li, Daqing He, Chengzhi Zhang*, Li Geng, Ke Zhang. Characterizing Peer-Judged Answer Quality on Academic Q&A Sites: A Cross-Disciplinary Case Study on ResearchGate. Aslib Journal of Information Management, 2018, 70(3):269-287. [doi]
  • [J15] Qingqing Zhou, Chengzhi Zhang. Detecting Users’ Dietary Preferences and Their Evolutions via Chinese Social Media. Journal of Database Management. 2018, 29(3): 89-110. [doi]
  • [J14] Shutian Ma, Yingyi Zhang, Chengzhi Zhang*. Using Multiple Web Resources and Inference Rules to Classify Chinese Word Semantic Relation. Information Discovery and Delivery. 2018, 46(2): 120-126. [doi]
  • [J13] Jie Wang, Chengzhi Zhang*, Mengying Zhang, Sanhong Deng. CitationAS: A Tool of Automatic Survey Generation Based on Citation Content. Journal of Data and Information Science. 2018, 3 (2): 20-37. (Note: This paper is an extended version of the article in CLBib 2017 proceedings) [PDF]
  • [C43] Shutian Ma, Heng Zhang, Jin Xu, Chengzhi Zhang*. NJUST @ CLSciSumm-18. In: Proceedings of the 3nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2018), Ann Arbor, MI, USA, July, 2018.(Runner-up in Task 1B of CL-SciSumm2018) [PDF]
  • [C42] Yuzhuo Wang, Chengzhi Zhang*. What Type of Domain Knowledge is Cited by Articles with High Interdisciplinary Degree? In: Proceedings of 2018 Annual Meeting of the Association for Information Science and Technology (ASIST’2018), Vancouver, BC, Canada, 2018. (Poster)
  • [C41] Heng Zhang, Qingqing Zhou, Chengzhi Zhang*. Multi-discipline Correlation Analysis between Citations and Features of Library Holdings. In: Proceedings of 2018 Annual Meeting of the Association for Information Science and Technology (ASIST’2018), Vancouver, BC, Canada, 2018. (Poster)
  • [C40] Shutian Ma, Chengzhi Zhang*. Using Full-text Academic Articles and Wikipedia to Find Alternative Free Bioinformatics Software. In: Proceedings of 2018 ASIST Workshop on Informetrics and Scientometrics Research (SIGMET2018), Vancouver, BC, Canada, 2018. (Poster) [PDF][Slides]
  • [C39] Tiantian Tong, Chengzhi Zhang*, Lin Zhang. Using WoS Keywords to Analyze Topic of Articles Collection with Different Interdisciplinary Degree. In: Proceedings of 2018 ASIST Workshop on Informetrics and Scientometrics Research (SIGMET2018), Vancouver, BC, Canada, 2018. (Poster) [PDF] [Slides]
  • [C38] Yingyi zhang, Jing Li, Yan Song, Chengzhi Zhang. Encoding Conversation Context for Neural Keyphrase Extraction from Microblog Posts. In: Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT 2018), New Orleans, USA, 1st-6th June, 2018. [PDF] [Dataset]
  • [C37] Yuzhuo Wang, Chengzhi Zhang*. Using Full-text of Research Articles to Analyze Academic Impact of Algorithms. In: Proceedings of iConference2018, Sheffield, UK, 25th-28th March, 2018. [PDF]
  • [C36] Yingyi Zhang, Chao Lu, Chengzhi Zhang*. The Impact of Byline Order of Corresponding Author -A Preliminary Study. In: Proceedings of iConference2018, Sheffield, UK, 25th-28th March, 2018. (Poster)
  • [C35] Chao Lu, Ying Ding, Yingyi Zhang, Yi Bu, Chengzhi Zhang*. Types of Scientific Collaborators: A Perspective of Author Contribution Network. In: Proceedings of iConference2018, Sheffield, UK, 25th-28th March, 2018. (Poster)

2017

  • [J12] Xinning Su, Chengzhi Zhang, Daqing He. Guest editorial: managing bigger online data. The Electronic Library. 2017, 35(4): 622-625. [doi]
  • [J11] Chao Lu, Ying Ding, Chengzhi Zhang*. Understanding the impact change of a highly cited article: a content-based citation analysis. Scientometrics, 2017, 112(2): 927-945. [doi]
  • [J10] Qingqing Zhou, Chengzhi Zhang*. Emotion evolutions of sub-topics about popular events on microblogs. The Electronic Library. 2017, 35(4): 770-782.[doi]
  • [J9]Qiangbing Wang, Shutian Ma, Chengzhi Zhang*. Predicting Users’ Demographic Characteristics in a Chinese Social Media Network. The Electronic Library. 2017, 35(4): 758-769. [doi]
  • [C34] Jie Wang, Shutian Ma, Chengzhi Zhang*. CitationAS: A Summary Generation Tool Based on Clustering of Retrieved Citation Content. In: Proceedings of Second Workshop on Mining Scientific Papers: Computational Linguistics and Bibliometrics (CLBib-2017), Wuhan, China, 2017.
  • [C33] Shutian Ma, Jin Xu, Jie Wang and Chengzhi Zhang*. NJUST @ CLSciSumm-17. In: Proceedings of the 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2017), Tokyo, Japan, Aug, 2017. (Winner of CL-SciSumm 2017) [PDF]
  • [C32] Qingqing Zhou, Chengzhi Zhang*. Detecting dietary preference of social media users in China via sentiment analysis. In: Proceedings of 2017 Annual Meeting of the Association for Information Science and Technology (ASIST’2017), Washington, DC, USA, 2017.
  • [C31] Shutian Ma, Chengzhi Zhang*. Document Representation and Clustering Models for Bilingual Documents Clustering. In: Proceedings of 2017 Annual Meeting of the Association for Information Science and Technology (ASIST’2017), Washington, DC, USA, 2017.
  • [C30] Chao Lu, Yi Bu, Chenwei Zhang, Ying Ding, Torvik VI, Chengzhi Zhang*. Does Collaboration Bring High-impact Studies? A Preliminary Study. In: Proceedings of 2017 Annual Meeting of the Association for Information Science and Technology (ASIST’2017), Washington, DC, USA, 2017. (Poster)
  • [C29] Chengzhi Zhang, Shurui Xu. Using Readership to Measure Interdisciplinarity. In: *Proceedings of the 16th International Conference on Scientometrics and Informetrics (ISSI 2017), Wuhan, China, 2017. (Poster)
  • [C28] Qingqing Zhou, Shenghui Wang, Chengzhi Zhang*. Alternative Metrics Correlations: Do Academic Reviews Correlate with Library Holdings? In: Proceedings of the 16th International Conference on Scientometrics and Informetrics (ISSI 2017), Wuhan, China, 2017. (Poster)
  • [C27] Yuzhuo Wang, Chengzhi Zhang*. A Comparative Investigation of Citation Content Characteristics between Academic Monographs and Papers. In: Proceedings of the 16th International Conference on Scientometrics and Informetrics (ISSI 2017), Wuhan, China, 2017.
  • [C26] Shutian Ma, Chengzhi Zhang*. Using Full-text to Evaluate Impact of Different Software Groups information. In: Proceedings of the 16th International Conference on Scientometrics and Informetrics (ISSI 2017), Wuhan, China, 2017. (Poster)
  • [C25] Yingyi Zhang, Chao Lu, Chengzhi Zhang*. Always Gold Glitters: When Accepted Papers Meet Processing Delay information. In: Proceedings of the 16th International Conference on Scientometrics and Informetrics (ISSI 2017), Wuhan, China, 2017. (Poster)
  • [C24] Chao Lu, Yi Bu, Xianlei Dong, Jie Wang, Ying Ding,Chengzhi Zhang*. To Be or Not to Be: Will Scientific Writing Affect Scientific Impact? In: Proceedings of the 16th International Conference on Scientometrics and Informetrics (ISSI 2017), Wuhan, China, 2017. (Poster)
  • [C23] Lei Li, Daqing He, Danchen Zhang, Yu Chi, Chengzhi Zhang*. The Types of Tags for Annotating Academic Blogs. In: Proceedings of iConference2017, Wuhan, China, March 22-25, 2017.
  • [C22] Chao Lu, Yi Bu, Ying Ding, Chengzhi Zhang*. Understanding Academic Writing Style from the Perspective of Linguistic Closeness of the Speaker’s Native Language to English. In: Proceedings of iConference2017, Wuhan, China, March 22-25, 2017.
  • [C21] Shutian Ma, Chengzhi Zhang*. Documents Representation for Comparable Corpora Clustering: A Preliminary Study. In: Proceedings of iConference2017, March 22-25, Wuhan, China, 2017.
  • [C20] Yingyi Zhang, Guo Chen, Chengzhi Zhang*, Shutian Ma. Analyzing scientific user tagging behavior on academic blogs according to tag’s content characteristics - a preliminary study. In: Proceedings of iConference2017, Wuhan, China, March 22-25, 2017.

2016

  • [J8] Qingqing Zhou, Rui Xia, Chengzhi Zhang*. Online shopping behavior study based on multi-granularity opinion mining: China vs. America. Cognitive Computation. 2016, 8(4): 587-602. [doi]
  • [J7] Qingqing Zhou, Chengzhi Zhang*, Star X. Zhao, Bikun Chen. Measuring Book Impact Based on the Multi-granularity Online Review Mining. Scientometrics, 2016, 107(3): 1435-1455. [doi]
  • [J6] Chao Lu, Chengzhi Zhang*, Daqing He. Comparative analysis of book tags: a cross-lingual perspective. The Electronic Library. 2016, 34(4):666-682. [doi] (Highly Commended Paper in the 2017 Emerald Literati Network Awards for Excellence)
  • [J5] Lu Xiao, Guo Chen, Jianjun Sun, Shuguang Han, Chengzhi Zhang. Exploring the topic hierarchy of digital library research in China using keyword networks: a K-core decomposition approach. Scientometrics, 2016, 108(3): 1085–1101.
  • [C19] Shutian Ma, Xiaoyong Zhang, Chengzhi Zhang*. NLPCC 2016 Shared Task: Chinese Words Similarity Measure via Ensemble Learning based on Multiple Resources. In: Proceedings of the Fifth Conference on Natural Language Processing and Chinese Computing & The Twenty Fourth International Conference on Computer Processing of Oriental Languages (NLPCC-ICCPOL 2016). Kunming, China, 2016: 862–869.
  • [C18] Shutian Ma, Chengzhi Zhang*, Daqing He. Document Representation Methods for Clustering Bilingual Documents. In: Proceedings of the 2016 Annual Meeting of the Association for Information Science and Technology (ASIST’2016), Copenhagen, Denmark, 2016.
  • [C17] Lei Li and Chengzhi Zhang. Characterizing Users Tagging Behavior in Academic Blogs. In: *Proceedings of ACM/IEEE Joint Conference on Digital Libraries 2016 (JCDL2016). Newark, NJ, 2016. (Poster)
  • [C16] Lei Li, Daqing He, Chengzhi Zhang. Measurement of academic answer quality :a Case Study on ResearchGate Q&A. In: Proceedings of HCI International 2016, Toronto, Canada.
  • [C15] Lei Li, Ke Zhang, Qingqing Zhou, Chengzhi Zhang*. Toward Understanding Review Usefulness: A Case Study on Yelp Restaurants. In: Proceedings of iConferrence2016, March 20-23, Philadelphia, PA, 2016. (Poster)

2015

  • [C14] Chao Lu, Shutian Ma, Chengzhi Zhang*. How Does Citing Behavior for a Scientific Article Change over Time? A Preliminary Study. In: Proceedings of the 2015 Annual Meeting of the Association for Information Science and Technology (ASIST’2015), St. Louis, Missouri, USA, 2015.
  • [C13] Qingqing Zhou, Chengzhi Zhang*. Can Book Reviews Be Used to Evaluate Books’ Influence? In: Proceedings of the 15th International Conference on Scientometrics and Informetrics (ISSI2015). Istanbul, Turkey, 2015 : 105-106. (Poster)
  • [C12] Xiaolan Wu, Chengzhi Zhang*. Multi-Label Propagation for Overlapping Community Detection Based on Connecting Degree. In: Proceedings of the 15th International Conference on Scientometrics and Informetrics (ISSI2015). Istanbul, Turkey, 2015: 1099-1100. (Poster)
  • [C11] Jinzhu Zhang, Chengzhi Zhang, Bikun Chen. Uncovering the Mechanisms of Co-authorship Network Evolution by Multirelations-based Link Prediction. In: Proceedings of the 15th International Conference on Scientometrics and Informetrics (ISSI2015). Istanbul, Turkey, 2015: 1105-1106. (Poster)
  • [C10] Lei Li, Daqing He, Wei Jeng, Spencer Goodwin, Chengzhi Zhang. Answer Quality Characteristics and Prediction on an Academic Q&A Site: A Case Study on ResearchGate. In: Proceedings of the 22nd international conference on World Wide Web companion (WebQuality2015). Florence, Italy, 18 May, 2015,.

2014

  • [C9] Qingqing Zhou, Chengzhi Zhang*. Relationship between Reviews Polarities, Helpfulness, Stars and Sales Rankings of Products: A Case Study in Books. In: Proceedings of the 3rd National Conference of Social Media Processing (SMP2014), Beijing, China, 2014: 175-186.
  • [C8] Shutian Ma, Chengzhi Zhang*. Automatic Collection of the Parallel Corpus with Little Prior Knowledge.In: Proceedings of the 13th China National Conference on Computational Linguistics (CCL2014), Wuhan, China, 2014: 95-106.
  • [C7] Lei Li, Chengzhi Zhang. Quality Evaluation of Social Tags according to Web Resource Types. In: Proceedings of the 22nd international conference on World Wide Web companion (WebQuality2014). Seoul, Korea, 7 April, 2014.

2013

  • [J4] Qingqing Zhou & Chengzhi Zhang*. Relationship between scores and tags for Chinese books—In the case of Douban Book. Chinese Journal of Library and Information Science, 2013,6(4): 40-54.
  • [C6] Chengzhi Zhang, Xuchen Yao and Chunyu Kit. Finding More Bilingual Web Pages with High Credibility via Link Analysis. In: Proceedings of the 6th Workshop on Building and Using Comparable Corpora (BUCC2013). 8 August 2013, Sofia, Bulgaria. [Dataset & Source Code]
  • [C5] Sa Liu, Chengzhi Zhang. Termhood-Based Comparability Metrics of Comparable Corpus in Special Domain. In: Proceedings of The 14th Chinese Lexical Semantics Workshop (CLSW2012), LNAI,Volume 7717/2013, Springer, 2013: 134–144.

2012 and Before

  • [J3] Chengzhi Zhang, Dan Wu. Bilingual Terminology Extraction Using Multi-level Termhood. The Electronic Library. 2012, 30(2): 295-308.
  • [J2] Chengzhi Zhang, Wang Huilin, Wu Dan. Clustering Description Learning: A Comparative Study. Journal of Information and Computation Science, 2009, 6(3): 1181-1192.
  • [J1] Chengzhi Zhang,Wang Huilin, Yao Liu, Wu Dan, Wang Bo, Liao Yi. Automatic Keyword Extraction from Documents Using Conditional Random Fields. Journal of Computational Information Systems, 2008, 4(3): 1169-1180.
  • [C4]Chengzhi Zhang. Bilingual Topic Taxonomy Generation Based on Bilingual Document Clustering. In: Proceedings of 2011 International Conference on Machine Learning and Cybernetics (The Second International Workshop on Web Information Processing), Guilin, Guangxi, China. 2011: 1889-1895.
  • [C3] Chengzhi Zhang. Extracting Chinese-English Bilingual Core Terminology from Parallel Classified Corpora in Special Domain. In: Proceedings of Workshop on Natural Language Processing and Ontology Engineering (NLPOE 2009) in conjunction with Conference on Web Intelligence (WI/IAT-09). Milan, Italy, 2009: 271-274.
  • [C2] Chengzhi Zhang, Huilin Wang, Yao Liu. Document clustering description extraction and its application. In: Proceedings of the 22nd International Conference on the Computer Processing of Oriental Languages (ICCPOL2009). Lecture Notes in Computer Science, 5459/2009. Springer Berlin / Heidelberg, Hong Kong, China, 2006: 370-377.
  • [C1] Chengzhi Zhang, Xiaoqing Xu, Xinning Su. Query Similarity Computing Based on System Similarity Measurement. In: Proceedings of the 21st International Conference on the Computer Processing of Oriental Languages (ICCPOL2006), Lecture Notes in Computer Science, Volume 4285/2006, Springer Berlin / Heidelberg, Singapore, 2006: 42-50.