2025
Journal Paper:
[J1] Chen, H., Li, R., Cleveland, A., & Ding, J. (2025). Enhancing data quality in medical concept normalization through large language models. Journal of Biomedical Informatics, 104812.
[J2] Wang, Z., Wang, N., Zhang, H., Wang, Z., Wang, Z., Ding, J., & Chen, H. (2025). IBID-CCT: A novel model for interdisciplinary breakthrough innovation detection based on the cusp catastrophe theory. Information Processing & Management, 62(4), 104121.
[J3] Zhang, Y., Wang, Y., Sheng, Q. Z., Yao, L., Chen, H., Wang, K., ... & Zhao, R. (2025). Deep learning meets bibliometrics: A survey of citation function classification. Journal of Informetrics, 19(1), 101608.
Conference Paper:
[C1] Nguyen, H., Chen, H., Pobbathi, L., & Ding, J. (2025). SumEval4ALL: A Reference-Free Quality Evaluation Framework for Document Summarization using Large Language Models. ACL 2025. Under review
2024
Journal Paper:
[J1] Wang, Z., Zhang, H., Chen, J., & Chen, H. (2024). An effective framework for measuring the novelty of scientific articles through integrated topic modeling and cloud model. Journal of Informetrics, 18(14), 101587.
[J2] Tu, F., Wu, L., Kinshuk, Ding, J., & Chen, H. (2024). Exploring the influence of regulated learning processes on learners’ prestige in project-based learning. Education and Information Technologies, 1-31.
[J3] Wang, Z., Zhang, H., Chen, H., Feng, Y., & Ding, J. (2024). Content-based quality evaluation of scientific papers using coarse feature and knowledge entity network. Journal of King Saud University-Computer and Information Sciences, 102119.
[J4] Zhao, H., Chen, H., Ruggles, T. A., Feng, Y., Singh, D., & Yoon, H. J. (2024). Improving Text Classification with Large Language Model-Based Data Augmentation. Electronics, 13(13), 2535.
[J5] Chen, H., Kim, J., Chen, J., & Sakata, A. (2024). Demystifying oral history with natural language processing and data analytics: a case study of the Densho digital collection. The Electronic Library.
[J6] Huang, J., Chen, H., Yu, F., & Lu, W. (2024). From Detection to Application: Recent Advances in Understanding Scientific Tables and Figures. ACM Computing Surveys.
[J7] Kargozari, K., Ding, J., & Chen, H. (2024). Empowering Consumer Decision: Decoding Incentive vs. Organic Reviews for Smarter Choices Through Advanced Textual Analysis.
[J8] Wang, Z., Qiao, X., Chen, J., Li, L., Zhang, H., Ding, J., & Chen, H. (2024). Exploring and evaluating the index for interdisciplinary breakthrough innovation detection. The Electronic Library.
Conference Paper:
[C1] Ying, D., Yu, F., Chen, H., & Lu, W. (2024, December). Fine-Grained, Accurate Data Generation and Multimodal Layout Analysis for Academic Papers. In Proceedings of the 24th ACM/IEEE Joint Conference on Digital Libraries (pp. 1-11).
[C2] Zhang, L., Wu, K., Cheng, X., Wang, J., & Chen, H. (2024, December). LSD: An Effective Method for Improving Quality of Scholarly Databases. In Proceedings of the 24th ACM/IEEE Joint Conference on Digital Libraries (pp. 1-3).
[C3] Ying, D., Yu, F., Chen, H., & Lu, W. (2024, October). DIG: Complex Layout Document Image Generation with Authentic-looking Text for Enhancing Layout Analysis. In Proceedings of the 32nd ACM International Conference on Multimedia (pp. 3239-3247).
[C4] Chen, H., Cherukuri, K. S., Zhu, X., & Yang, S. (2024). Are Prompts All You Need?: Chatting with ChatGPT on Disinformation Policy Understanding. Proceedings of the Association for Information Science and Technology, 61(1), 488-492.
[C5] Ding, J., Nguyen, H., & Chen, H. (2024, July). Evaluation of question-answering based text summarization using llm. In 2024 IEEE International Conference on Artificial Intelligence Testing (AITest) (pp. 142-149). IEEE.
[C6] Zhou, Y., Tu, F., Sha, K., Ding, J., & Chen, H. (2024, July). A Survey on Data Quality Dimensions and Tools for Machine Learning. In 2024 IEEE International Conference on Artificial Intelligence Testing (AITest) (pp. 120-131). IEEE.
[C7] Zhang, X., Chong, M., Hagen, L., & Chen, H. (2024). A Framework for Assessing Country Reputation: Case Study of China during the COVID-19 Pandemic. In Proceedings of the 25th Annual International Conference on Digital Government Research (pp. 1008-1010).
2023
Journal Paper:
[J1] Ge, J., Xu, G., Zhang, Y., Lu, J., Chen, H., & Meng, X. (2023). Joint Optimization of Computation, Communication and Caching in D2D-Assisted Caching-Enhanced MEC System. Electronics, 12(15), 3249.
[J2] Wang, Z., Chen, J., Chen, J., & Chen, H. (2023). Identifying interdisciplinary topics and their evolution based on BERTopic. Scientometrics, 1-26.
[J3] Wang, Z., Peng, S., Chen, J., Zhang, X., & Chen, H. (2023). ICAD-MI: Interdisciplinary concept association discovery from the perspective of metaphor interpretation. Knowledge-Based Systems, 110695.
[J4] Nguyen, H., Chen, H., Chen, J., Kargozari, K., & Ding, J. (2023). Construction and Evaluation of a Domain-Specific Knowledge Graph for Knowledge Discovery. Information Discovery & Delivery.
Conference Paper:
[C1] Ding, J., Chen, H., Kolapudi, S., Pobbathi, L., & Nguyen, H. (2023). Quality Evaluation of Summarization Models for Patent Documents. In 2023 IEEE 23rd International Conference on Software Quality, Reliability, and Security (QRS) (pp. 250-259). IEEE.
[C2] Kargozari, K., Ding, J., & Chen, H. (2023). Evaluating the Impact of Incentive/Non-incentive Reviews on Customer Decision-making. In 2023 IEEE International Conference On Artificial Intelligence Testing (AITest) (pp. 160-168). IEEE.
[C3] Nguyen, H., Chen, H., Maganti, R., Hossain, K. T., & Ding, J. (2023). Measurement and Identification of Informative Reviews for Automated Summarization. In 2023 IEEE International Conference On Artificial Intelligence Testing (AITest) (pp. 146-151). IEEE.
[C4] Zhao, H., Chen, H., & Yoon, H. J. (2023). Enhancing Text Classification Models with Generative AI-aided Data Augmentation. In 2023 IEEE International Conference On Artificial Intelligence Testing (AITest) (pp. 138-145). IEEE.
[C5] Nguyen, H., Ogbadu-Oladapo, L., Ali, I., Chen, H., & Chen, J. (2023). Fighting Misinformation: Where Are We and Where to Go?. In International Conference on Information (pp. 371-394). Springer, Cham.
[C6] Feng, Y., Vanam, S., Cherukupally, M., Zheng, W., Qiu, M., & Chen, H. (2023). Investigating Code Generation Performance of Chat-GPT with Crowdsourcing Social Data. In Proceedings of the 47th IEEE Computer Software and Applications Conference (pp. 1-10).
[C7] Nguyen, H., Oladapo, L., Ali, I., Chen, H., & Chen, J. (2023). Fighting Misinformation: Where Are We and Where to Go?. In International Conference on Information (pp. 371-394). Springer, Cham.
2022
Journal Paper:
[J1] Chen, H., Wu, L., Chen, J., Lu, W., & Ding, J. (2022). A comparative study of automated legal text classification using random forests and deep learning. Information Processing & Management, 59(2), 102798.
[J2] Tran, N., Chen, H., Bhuyan, J., & Ding, J. (2022). Data Curation and Quality Evaluation for Machine Learning-Based Cyber Intrusion Detection. IEEE Access, 10, 121900-121923.
[J3] Zhang, L., Lu, W., Chen, H., Huang, Y., & Cheng, Q. (2022). A comparative evaluation of biomedical similar article recommendation. Journal of Biomedical Informatics, 131, 104106.
[J4] Chen, H., Pieptea, L. F., & Ding, J. (2022). Construction and Evaluation of a High-Quality Corpus for Legal Intelligence Using Semiautomated Approaches. IEEE Transactions on Reliability, 71(2), 657-673.
[J5] Chen, H.*, Nguyen, H., & Alghamdi, A. (2022). Constructing a high-quality dataset for automated creation of summaries of fundamental contributions of research articles. Scientometrics, 127(12), 7061-7075.
[J6] Wang, Z., Wang, K., Liu, J., Huang, J., & Chen, H.* (2022). Measuring the innovation of method knowledge elements in scientific literature. Scientometrics, 127(5), 2803-2827.
[J7] Zhang, Y., Zhao, R., Wang, Y., Chen, H., Mahmood, A., Zaib, M., & Sheng, Q. Z. (2022). Towards employing native information in citation function classification. Scientometrics, 1-21.
2021
Journal Paper:
[J1] Chen, H., Chen, J., & Ding, J. (2021). Data evaluation and enhancement for quality improvement of machine learning. IEEE Transactions on Reliability, 70(2), 831-847.
[J2] Tran, N., Chen, H., Jiang, J., Bhuyan, J., & Ding, J. (2021). Effect of Class Imbalance on the Performance of Machine Learning-based Network Intrusion Detection. International Journal of Performability Engineering, 17(9): 741-755.
[J3] Chen, H.* (2021). A New Citation Recommendation Strategy Based on Term Functions in Related Studies Section. Journal of Data and Information Science, 6(3), 75-98.
[J4] Chen, H., Chen, J., & Nguyen, H. (2021). Demystifying COVID-19 publications: institutions, journals, concepts, and topics. Journal of the Medical Library Association: JMLA, 109(3), 395.
Conference Paper:
[C1] Chen, H.*, & Kanuboddu, B. N. (2021). A fine-grained annotation scheme for research contribution in academic literature. In Proceedings of the 18th International Conference on Scientometrics and Informetrics (pp. 241-248).
[C2] Chong, M., & Chen, H.* (2021). Racist Framing through Stigmatized Naming: A Topical and Geo‐locational Analysis of Chinavirus and Chinesevirus on Twitter. In Proceedings of the association for information science and technology, 58(1), 70-79.
2020
Journal Paper:
[J1] Chen, H., Yang, Y., Lu, W., & Chen, J. (2020). Exploring multiple diversification strategies for academic citation contexts recommendation. The Electronic Library, 38(4), 821-842.
Conference Paper:
[C1] Chen, H., Chen, J., & Ding, J. (2020).Data Evaluation and Enhancement for Quality Improvement of Machine Learning. 2020 IEEE 20th International Conference on Software Quality, Reliability and Security (QRS), 13-13. (Best Paper Award Nominate)
2019
Journal Paper:
[J1] 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, 502, 59-75.
[J2] Zhang, Z., Chen, H.*, & Xiao, B. (2019). Understanding eWOM of Chinese Governments information service: a perceived value-based perspective. Information Discovery & Delivery, 47(4), 251-258.
Conference Paper:
[C1] Chen, H., Cao, G., Chen, J., & Ding, J.(2019). A practical framework for evaluating the quality of knowledge graph. In China conference on knowledge graph and semantic computing (pp. 111-122). Springer, Singapore.
2018
Conference Paper:
[C1] Ding, J., Jin, W., & Chen, H. (2018). Regression-Based Documents Reranking for Precision Medicine. In 2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE) (pp. 283-286). IEEE.
[C2] Chen, H., Ding, J., Chen, J., & Cao, G. (2018). Designing a novel framework for precision medicine information retrieval. In International Conference on Smart Health (pp. 167-178). Springer, Cham.
[C3] Chen, J., Chen, M., Qu, J., Chen, H., & Ding, J. (2018). Smart and connected health projects: Characteristics and research challenges. In International Conference on Smart Health (pp. 154-164). Springer, Cham.
2017
Conference Paper:
[C1] Zhang, Q., Lu, W., Yang, Y., Chen, H., & Chen, J. (2017). Automatic identification of research articles containing data usage statements. In Knowledge Discovery and Data Design Innovation: Proceedings of the International Conference on Knowledge Management (ICKM 2017) (pp. 67-87).