Journal articles:

Wang, P., Li, X.Y., & Li, Q.* (2026). Data retrieval systems in a smart society: strengths and weaknesses from a user perspective. Information Technology & People, (Online), 1-29. https://doi.org/10.1108/ITP-11-2024-1409

Wang, P., Li, X.Y., Li, Q.*, & Wu, S.Y. (2025). Attentional control mechanisms in forming first impressions of data retrieval systems: exploring top-down and bottom-up factors. Aslib Journal of Information Management, (Online), 1-25. https://doi.org/10.1108/AJIM-12-2024-1005
 Li, Q., Wang, P., Liu, C.F., Li, X.Y., & Hou, J.R.* (2025). Integration patterns in the use of metadata for data sense-making during relevance evaluation: An interpretable deep learning-based prediction. Journal of the Association for Information Science and Technology, 76(3), 621-641. https://doi.org/10.1002/asi.24961
 Li, Q., Li, Y.L. *, Zhang, S.H., Zhou, X., & Pan, Z.Y. (2025). A theoretical framework for human-centered intelligent information services: A systematic review. Information Processing & Management, 62(1), 103891. https://doi.org/10.1016/j.ipm.2024.103891
Wang, P., Wang, J.Y., Liu, C.F., & Li, Q.* (2024). The products and multi-disciplinarity of data-centric tasks: Influences on data searchers’ behaviors and cognition. Library & Information Science Research, 46(2), 101302. https://doi.org/10.1016/j.lisr.2024.101302
Wang, P., Xie, Y.F., Li, X.Y., & Li, Q.* (2024). Allocation of Attention to Metadata and Retrieval Functions: Implications for Perceived Value and Open Data Discovery and Reuse. Journal of Librarianship & Information Science, 56(3), 607-622. https://doi.org/10.1177/09610006231154529
Wang, P., Yang, H.Q., Hou, J.R., & Li, Q.* (2023). A machine learning approach to primacy-peak-recency effect-based satisfaction prediction. Information Processing & Management, 60(2), 103196. https://doi.org/10.1016/j.ipm.2022.103196
Li, Q., Liu, C.F., Hou, J.R., & Wang, P.* (2023). Affective memories and perceived value: Motivators and inhibitors of the data search-access process. Journal of Documentation, 79(5), 1236-1264. https://doi.org/10.1108/JD-06-2022-0129
Li, Q. & Wang, F.F.* (2021). A cognitive perspective on the peer review of innovative research: Biases and intervention. Studies in Science of Science, 39(8), 1354-1363.
Wang, P., Fan, W.L., & Li, Q.* (2021). The alleviation effect of knowledge integration on anxiety in parental vaccine decision making supported by online communities. Journal of Knowledge Management, 25(6), 1575-1593. https://doi.org/10.1108/JKM-05-2020-0329

Wang, P., Hu, Y.X., & Li, Q.* (2021). Trust mechanisms underlying the self-efficacy-rumour use relationship. The Electronic library, 39(2), 373-387. https://doi.org/10.1108/EL-12-2020-0332

Wang, P., Wang. J., & Li, Q.* (2021). Cognitive mechanisms underlying interaction and contribution in online health communities: The perspectives of doctors and patients. Aslib Journal of Information Management, 73(7), 367-385. https://doi.org/10.1108/AJIM-03-2020-0063

Chen, C. F.*, Li, Q., Chiu, K., & Deng, Z. (2020). The impact of Chinese library and information science on outside disciplines: A citation analysis. Journal of Librarianship and Information Science, 52(2), 493-508. https://doi.org/10.1177/0961000619836706
Li, Q., Wang, P., Sun, Y., Zhang, Y., & Chen, C.F.* (2019). Data-driven decision making in graduate students’ research topic selection: Cognitive processes and challenging factors. Aslib Journal of Information Management, 71(5), 657-676. https://doi.org/10.1108/AJIM-01-2019-0019 
Li, Q.* (2019). The impact of Chinese Library and Information Science Knowledge from the perspective of external citations. Journal of Library Science in China, 45(6), 65-83.

Li, Q.* (2018). Research on the architecture and optimization strategy of policy instrument selection for the development of big data in China. Library and Information Service, 62(11), 5-15. (CSSCI)

Li, Q.* Feasibility analysis and element design of legislation of open government data in China. Information Studies: Theory & Application, 41(10), 20-27.
Chen, C.F.*, Li, Q., Deng, Z., Chiu, K., & Wang, P. (2018). The preferences of Chinese LIS journal articles in citing works outside the discipline. Journal of Documentation, 74(1), 99-118. https://doi.org/10.1108/JD-04-2017-0057 

Li, Q.* (2014). Visualization of the development of Frankfort School. Journal of Information Resource Management, (1), 21-28. (CSSCIE)

Li, Q.* (2013). Research on the types of intellectual property risk in library digital reference service. Library Work and Study, (6), 9-13. (CSSCI 2013)
Conference papers:

Wu, S. Y., Peng, S. Y., Qin, S. H., Xiao, S. M., Li, Q., & Wang, P. (2026). Data Sensemaking in the Context of Human Interactions with Generative Search Engines: A Theoretical Framework. 89th Annual Meeting of the Association for Information Science & Technology (ASIS&T 2026).

Fan, S. N., Zhang, X. Y. H., Li, Q., & Li, Y. L. (2025). Understanding User Intent in Generative Information Retrieval Through Tasks Characteristics: Insights from A Meta-analysis. 88th Annual Meeting of the Association for Information Science & Technology (ASIS&T 2025).

Hou, J. R., Peng, S. Y., Li, Q., Li, Y. J., Wang, P. (2025). A Deep-Learning Approach for Three-Dimensional Confirmation Prediction in Data Retrieval. 88th Annual Meeting of the Association for Information Science & Technology (ASIS&T 2025).

Wu, S. Y., Peng, S. Y., Li, Q., & Wang, P. (2025). Understanding Data Search Behaviors Through the Lens of Search Stages: A Comparative Study of Data Retrieval Systems and Generative Search Engines. 88th Annual Meeting of the Association for Information Science & Technology (ASIS&T 2025).

Wang, P., Li, Q. *, Li, X. Y., Ling, S., Li, X. X., & Wu, S. Y. (2024). Understanding the Cognitive Mechanisms Behind the Adoption of AI-Generated Reviews: Independent and Additive Effects. 87th Annual Meeting of the Association for Information Science & Technology (ASIS&T 2024).
Sun, G. Y., Liu, C. F., Peng, S. Y., & Li, Q.* (2024). Understanding Researchers’ Data-Centric Tasks: A Classification of Goals, Gaps, and Resources. iConference 2024.
Hou, J. R., Li, Q., Yang, H. Q., & Wang, P. (2024). A Multimodal Data Model for Four-Dimensional User Attribute Inference in Data Retrieval. iConference 2024.

Li, Q.* (2020). Dual processes in the adoption of information technology: The integration of dualities. Americas Conference on Information Systems 2020 (AMCIS 2020) Proceedings. 13.

https://aisel.aisnet.org/amcis2020/adoption_diffusion_IT/adoption_diffusion_IT/13

Wang, P., Hu, Y.X., & Li, Q.* (2020). The trust-building process in the social media environment of rumour spreading. 2020 ACM International Conference on Supporting Group Work (ACM Group 2020). Pages 95–98. https://doi.org/10.1145/3323994.3369882

Li, Q.* (2020). Understanding the adoption of dataset retrieval innovation in research. ACM/IEEE Joint Conference on Digital Libraries (JCDL 2020) Doctoral Consortium. https://dl.acm.org/doi/abs/10.1145/3383583.3398499
*Corresponding author

l Metadata and Resource Description

l Information Policy and Law

l Information Retrieval Techniques

l Knowledge Graph

l Library andArchives Management

l History of Librariesand Archives

l LibraryProfessional Development

l Interactive Information Retrieval

l Research Ethics and Academic Writing

l LibraryProfessional Development and Ethics