Haoxuan Zhang

Research Interests

My research interests primarily focus on innovation measurement, scientometrics, and AI4Science, with particular emphasis on leveraging large language models for scientific peer review and knowledge discovery.

Publications

Conference Papers:
AdaQE-CG: Adaptive Query Expansion for Web-Scale Generative AI Model and Data Card Generation, Zhang, H., Li, R., Liang, Z., Sattari, M., Vo, P., Qu, C., Xiao, T., Ding, J., Zhang, Y., & Chen, H., WWW 2026

ReviewGuard: Enhancing Deficient Peer Review Detection via LLM-Driven Data Augmentation, Zhang, H., Li, R., Xiao, T., Ding, J., & Chen, H., JCDL 2025

Unveiling the Merits and Defects of LLMs in Automatic Review Generation for Scientific Papers, Li, R., Zhang, H., Xiao, T., Ding, J., & Chen, H., ICDM 2025

Journal Papers:
IBID-CCT: A novel model for interdisciplinary breakthrough innovation detection based on the cusp catastrophe theory, Wang, Z., Wang, N., Zhang, H., Wang, Z., Wang, Z., Ding, J., & Chen, H., Information Processing & Management, 2025

An effective framework for measuring the novelty of scientific articles through integrated topic modeling and cloud models, Wang, Z., Zhang, H., Chen, J., & Chen, H., Journal of Informetrics, 2024

Content-based quality evaluation of scientific papers using coarse feature and knowledge entity network, Wang, Z., Zhang, H., Chen, H., Feng, Y., & Ding, J., Journal of King Saud University—Computer and Information Sciences, 2024

Exploring and evaluating the index for interdisciplinary breakthrough innovation detection, Wang, Z., Qiao, X., Chen, J., Li, L., Zhang, H., Ding, J., & Chen, H., The Electronic Library, 2024