(*) indicates the corresponding author.

2023

  • Kate Kargozari, Junhua Ding*, & Haihua Chen. (2023). Towards Evaluating the Impact of Incentive/Non-incentive Reviews on Customers' Decision-making. IEEE AITest 2023. Under review.
  • Huyen Nguyen, Haihua Chen*, Roopesh Maganti, Tozammel Hossain, & Junhua Ding. (2023). Identifying High-quality Informative Comments for Software Review Summarization. IEEE AITest 2023. Under review.
  • Jiang Huang, Haihua Chen, Fengchang Yu*, & Wei Lu. (2023). From Detection to Application: Recent Advances in Understanding Scientific Tables and Figures. ACM Computing Surveys. Under review.
  • Yingying Han, Roopesh Maganti, Jeonghyun Kim, Jiangping Chen, & Haihua Chen*. (2022). "The Long Journey Home'": A Case Study of Learning Japanese American Internment History Using Natural Language Processing. Digital Humanities Quarterly. Under review
  • Haihua Chen, Cleveland, A.*, Katragadda, N., Maddi, S., Chung, H., & Phan, T. (2023). Dental Informatics over time: A 20-years longitudinal bibliometrics analysis. Journal of Dental Education. 
  • Yunhe Feng, Vanam, S., Cherukupally, M., Zheng, W., Qiu, M., & Haihua Chen. (2023). Investigating Code Generation Performance of ChatGPT with Crowdsourcing Social Data. IEEE COMPSAC 2023. Accepted. 
  • Zhongyi Wang, Jing Chen, Jiangping Chen, and Haihua Chen*. (2023). Identifying interdisciplinary topics and their evolution using deep learning. Scientometrics. Under review. 
  • Zhongyi Wang, Haoxuan Zhang, Jiangping Chen, & Haihua Chen*. (2023). Measuring the novelty of scientific literature through contribution sentence analysis using deep learning and cloud model. Expert Systems with Applications. Under review.
  • Zhongyi Wang, Siyuan Peng., Jiangping Chen., Xian Zhang., & Haihua Chen*. (2023). ICAD-MI: Interdisciplinary concept association discovery from the perspective of metaphor interpretation. Knowledge-Based Systems. Minor revision.
  • Zhongyi Wang, Siyuan Peng, Jing Huang, Jiangping Chen, & Haihua Chen*. (2023). Interdisciplinary Concept Drift Identification and Analysis based on the Normal Cloud Model. Journal of King Saud University - Computer and Information Sciences. Minor revision. 
  • Yunhe Feng., Meikang Qiu., Wenjun Zhou., Haihua Chen., Junhua Ding. (2023). Deep Learning Based Intelligent System for Ancient Character Recognition. IEEE Intelligent Systems. Minor revision. 
  • Huyen Nguyen., Lydia Ladi Lilian Oladapo., Irhamni., Haihua Chen., & Jiangping Chen*. (2023). Fighting Misinformation: Where Are We and Where to Go?. In International Conference on Information (pp. 371-394). Springer, Cham. 
  • Huyen Nguyen, Haihua Chen, Jiangping Chen, Kate Kargozari, & Junhua Ding*. (2023). Construction and Evaluation of a Large-scale Knowledge Graph for Building Knowledge Discovery Systems. Information Discovery and Delivery. 

2022

  • Zhongyi Wang, Jing Chen, Jiangping Chen, and Haihua Chen*. (2022). Interdisciplinary topics extraction and evolution analysis. EEKE 2022@JCDL 2022.
  • Yingying Han, Roopesh Maganti, Jiangping Chen, & Haihua Chen*. (2022). Uncover Marginalized Narratives of Japanese American Incarceration: An Annotation Scheme for Natural Language Processing and Data Analytics. Proceedings of the Association for Information Science and Technology. 
  • Natalie Tran, Haihua Chen, Jay Bhuyan, & Junhua Ding*. (2022). Data Curation and Quality Assurance for Machine Learning-based Cyber Intrusion Detection. IEEE Access.
  • Li Zhang, Wei Lu, Haihua Chen,Yong Huang, & Qikai Cheng*. (2022). An evaluation of biomedical similar article recommendation. Journal of Biomedical Informatics. Journal of Biomedical Informatics, 104106.
  • Haihua Chen, Lavinia Pieptea, & Junhua Ding*. (2022). Construction and Evaluation of High-Quality Corpus for Legal Intelligence using Semi-automated Approaches. IEEE Transactions on Reliability, 1-18.
  • Haihua Chen*, Huyen Nguyen, & Asmaa Alghamdi. (2022). Constructing a high-quality dataset for automated creation of summaries of fundamental contributions of research articles. Scientometrics. Scientometrics, 1-15.
  • Zhongyi Wang, Keying Wang, Jiyue Liu, Jing Huang, & Haihua Chen*. (2022). Measuring the Innovation of Method Knowledge Elements in Scientific Literature. Scientometrics 127 (5), 2803-2827.
  • Haihua Chen, Lei Wu, Wei Lu, Jiangping Chen, & Junhua Ding*. (2022). A Comparative Study of Automated Legal Text Classification Using Random Forests and Deep Learning. Information Processing and Management. 59(2), 102798.
  • Yang Zhang, Rongying Zhao*, Yufei Wang*, Haihua Chen, Mahmood Adnan, Munazza Zaib, Emma Wei Zhang, & Quan Z Sheng. (2022). Towards Employing Native Information in Citation Function Classification. Scientometrics. Scientometrics, 1-21.

2021

  • Huyen Nguyen, Haihua Chen, Bhanu Prasad, Huanhuan Zhao, Ana Cleveland, & Jiangping Chen*. (2021). UNTIIA Lab at TREC 2021 - Clinical Trial. In Proceedings of TREC 2021.
  • Ngan Tran, Haihua Chen, Janet Jiang, Jay Bhuyan, & Junhua Ding*. (2021). Effect of Class Imbalance on the Performance of Machine Learning-based Network Intrusion Detection. International Journal of Performability Engineering, 2021, 17(9), 741-755.
  • Haihua Chen, Jiangping Chen, & Junhua Ding*. (2021). Data evaluation and enhancement for quality improvement of machine learning, IEEE Transactions on Reliability 70, no. 2, 831-847.
  • Haihua Chen, Huyen Nguyen, & Jiangping Chen*. (2021). Demystifying COVID-19 publications: institutions, journals, concepts, and topics. Journal of the Medical Library Association, 109(3), 395- 405.
  • Haihua Chen*. (2021). A New Citation Recommendation Strategy Based on Term Functions in Related Studies Section. Journal of Data and Information Science, vol.6, no.3, 2021, pp.75-98.
  • Jing You, Nagma Shaik, & Haihua Chen*. (2021). Data Mining on COVID-19 Vaccines: Side Effects (Poster). ASIS&T 2021 Annual Meeting.
  • Miyoung Chong*, & Haihua Chen*. (2021). Racist Framing Through Stigmatized Naming: A Topical and Geo-Locational Analysis of #Chinavirus and #Chinesevirus on Twitter (Full paper). ASIS&T 2021 Annual Meeting.
  • Haihua Chen*, & Bhavya Kanuboddu. (2021). A Fine-Grained Annotation Scheme for Research Contribution in Academic Literature (Full paper). International Conference on Scientometrics and Informetrics (ISSI 2021).
  • Caijun Qin, Yi Yang, Haihua Chen*, & Junhua Ding*. A Comparison Study of Machine Learning and Deep Learning for Legal Contract Understanding (Full paper). Fifteenth International Workshop on Juris-informatics (JURISIN 2021) associated with JSAI International Symposia on AI 2021 (IsAI- 2021).

2020

  • Mingwei Tang, Cui Su, Haihua Chen, Jingye Qu, & Junhua Ding*. SALKG: A Semantic Annotation System for Building a High-quality Legal Knowledge Graph (Regular paper). 2020. Fourth Annual Workshop on Applications of Artificial Intelligence in the Legal Industry at IEEE BigData 2020.
  • Haihua Chen, Yunhan Yang, Wei Lu*, & Jiangping Chen. (2020). Exploring multiple diversification strategies for academic citation contexts recommendation. The Electronic Library, Vol. 38 No. 4, pp. 821-842.
  • Haihua Chen & Huyen Nguyen. (2020). Fine-tuning Pre-trained Contextual Embeddings for Citation Content Analysis in Scholarly Publication. arXiv preprint arXiv:2009.05836.
  • Mingwei Tang, Jiangping Chen*, Haihua Chen, Zhenyuan Xu, Yueyao Wang, Mengting Xie, & Jiangwei Lin. An ontology-improved vector space model for semantic retrieval. The Electronic Library, 38(5/6), pp.919-942.
  • Mengqi Luo, Fengchang Yu, & Haihua Chen*. Result Diversification in Clinical Case Reports Retrieval based on Main Finding (Regular paper). (2020). In Proceedings (QRS-C Companion) of The 2020 IEEE 20th International Conference on Software Quality, Reliability and Security.
  • Mingwei Tang, Jiangping Chen*, & Haihua Chen. SemOIR: An Ontology-based semantic information retrieval system (Short paper). (2020). In Proceedings (QRS-C Companion) of The 2020 IEEE 20th International Conference on Software Quality, Reliability and Security.
  • Mingwei Tang, Jiangping Chen*, & Haihua Chen. Smart Bookshelf for Library Book Management. (Poster). ASIS&T Annual Meeting 2020.

2019

  • Zhen Zhang, Haihua Chen*, & Bo Luo. (2019). Understanding eWOM of Chinese Governments information service: a perceived value-based perspective, Information Discovery and Delivery, Vol. 47 No. 4, pp. 251-258.
  • Haihua Chen, Gaohui Cao, Jiangping Chen, & Junhua Ding* (Regular paper). (2019) A Practical Framework for Evaluating the Quality of Knowledge Graph. In: Zhu X., Qin B., Zhu X., Liu M., Qian L. (eds) Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding. CCKS 2019. Communications in Computer and Information Science, vol 1134. Springer, Singapore
  • Lu, W*., Luo, M., Zhang, Z., Zhang, G., Ding, H., Chen, H., & Chen, J. (2019). Result Diversification in Image Retrieval Based on Semantic Distance. Information Sciences.

2018

  • Haihua Chen, Juncheng Ding, Jiangping Chen*, Ana Cleveland, and Xiaoli Tang. (2018). "UNT Precision Medicine Information Retrieval at TREC 2018." Proceedings of TREC 2018.
  • Juncheng Ding, Wei Jin*, Haihua Chen (2018). "Regression-based Documents Reranking for Precision Medicine." In Proceeding of the 18th IEEE International Conference on BioInformatics and BioEngineering. (Short paper)
  • Haihua Chen, Juncheng Ding, Jiangping Chen*, and Gaohui Cao (2018). Designing a Novel Framework for Precision Medicine Information Retrieval. In Proceedings of the 6th International Conference on Smart Health. (Regular paper)
  • Jiangping Chen*, Minghong Chen, Jingye Qu, Haihua Chen, and Juncheng Ding (2018). Smart and Connected Health Projects: Characteristics and Research Challenges. In Proceedings of the 6th International Conference on Smart Health. (Regular paper)
  • Yunhan Yang, Haihua Chen, Wei Lu*, and Brenda Reyes Ayala (2018). Diversifying the Citation Contexts in Academic Literature for Knowledge Recommendation. In Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, pp. 397-398. (Poster)
  • Viswavarapu, Lokesh Kumar, Jiangping Chen*, Ana Cleveland, and Haihua Chen. (2018). "UNT Precision Medicine Information Retrieval at TREC 2017." In Proceedings of TREC 2017.

2017

  • Qiuzi Zhang, Wei Lu, Yunhan Yang, Haihua Chen, Jiangping Chen (2017). Automatic Identification of Research Articles Containing Data Usage Statements. (presented). The 13th International Conference on Knowledge Management (ICKM). (Oct.25.2017-Oct.27.2017, Texas).
  • Jing Zeng, Wei Lu, Heng Ding, Haihua Chen. (2017). Modeling User's Interests Based on Image Semantics. Data Analysis and Knowledge Discovery, 1(4): 76-83. (CSSCI)
  • Zhongwei Zhao, Qikai Cheng, Yong Huang, Haihua Chen. (2017). The Evolutionary analysis of Academic Literatures' Research Methods of Chinese Library and Information Science Field in Recent 10 Years. Journal of Information Resources Management (3): 106-112. (CSSCI)
  • Jing Zeng, Wei Lu, Haihua Chen, Guoxiu He. (2017). Research on User Interest Recognition Based on Multimode Data. (presented). National Doctoral Symposium on Library & Information Science. (Sep.24.2017-Sep.25.2017, Beijing).
  • Jing Zeng, Xiaoge Hu, Haihua Chen, Wei Lu (2017). Research on Image Sentiment Orientations of News Website. (presented). Cultural Innovation and Data Science: New Media, New Communication, and New Landscape. (Jun.17.2017, Shanghai).

2015-2016

  • Shengwei Lei, Haihua Chen, Yong Huang, Wei Lu. (2016). Research on Automatic Recognition of Academic Citation Context. Library and Information Service, 60(17): 78-87. (CSSCI)
  • Haihua Chen, Yong Huang, Jiong Zhang, Wei Lu. (2016). Research on Citation Context-Based Automatic Summarization of Academic Literature. Digital Library Forum, 8: 43-49. (CSSCI)
  • Haihua Chen, Wenjing He. (2016). Research on User Satisfaction-based Paper Recommendation Evolution. Digital Library Forum, 4: 22-29. (CSSCI)
  • Haihua Chen, Rui Meng, Wei Lu. (2015). Research Review on Citation Recommendation of Academic Literature. Library and Information Service, 59(15): 133-143, 147. (CSSCI)