Li Chen

9.4k total citations · 4 hit papers
262 papers, 5.7k citations indexed

About

Li Chen is a scholar working on Information Systems, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Li Chen has authored 262 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 129 papers in Information Systems, 114 papers in Artificial Intelligence and 56 papers in Sociology and Political Science. Recurrent topics in Li Chen's work include Recommender Systems and Techniques (96 papers), Digital Marketing and Social Media (34 papers) and Sentiment Analysis and Opinion Mining (26 papers). Li Chen is often cited by papers focused on Recommender Systems and Techniques (96 papers), Digital Marketing and Social Media (34 papers) and Sentiment Analysis and Opinion Mining (26 papers). Li Chen collaborates with scholars based in Hong Kong, China and United States. Li Chen's co-authors include Pearl Pu, Rong Hu, Feng Wang, Lei Li, Weike Pan, Yongfeng Zhang, Guanliang Chen, Quan Yuan, Haoran Xie and Shiwan Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Free Radical Biology and Medicine.

In The Last Decade

Li Chen

232 papers receiving 5.4k citations

Hit Papers

A user-centric evaluation... 2011 2026 2016 2021 2011 2014 2015 2023 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A user-centric evaluation framework for recommender systems
    2011 546 citations Li Chen et al. profile →
  2. News impact on stock price return via sentiment analysis
    2014 335 citations Li Chen et al. profile →
  3. Recommender systems based on user reviews: the state of the art
    2015 254 citations Li Chen et al. profile →
  4. Personalized Prompt Learning for Explainable Recommendation
    2023 90 citations Lei Li, Yongfeng Zhang et al. ACM Transactions on Information Systems profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Li Chen 3.0k 2.7k 996 871 798 262 5.7k
Pearl Pu 1.9k 0.6× 1.6k 0.6× 716 0.7× 543 0.6× 693 0.9× 146 3.8k
F. Maxwell Harper 2.9k 1.0× 2.1k 0.8× 721 0.7× 711 0.8× 882 1.1× 38 4.7k
Dietmar Jannach 4.8k 1.6× 3.1k 1.2× 1.1k 1.1× 1.4k 1.6× 1.5k 1.8× 225 7.3k
Marcos André Gonçalves 2.3k 0.8× 3.2k 1.2× 800 0.8× 984 1.1× 757 0.9× 313 5.8k
Brent Smith 3.1k 1.0× 1.4k 0.5× 674 0.7× 532 0.6× 981 1.2× 49 4.2k
Alexander Maedche 3.1k 1.0× 4.5k 1.7× 1.0k 1.0× 458 0.5× 365 0.5× 246 7.9k
David M. Pennock 2.4k 0.8× 2.6k 1.0× 712 0.7× 850 1.0× 551 0.7× 56 5.5k
Yiqun Liu 3.7k 1.2× 3.3k 1.2× 400 0.4× 598 0.7× 960 1.2× 301 5.6k
Shaoping Ma 4.2k 1.4× 3.8k 1.4× 418 0.4× 664 0.8× 1.2k 1.5× 278 6.2k
Mounia Lalmas 1.8k 0.6× 1.7k 0.6× 623 0.6× 441 0.5× 527 0.7× 216 3.8k

Countries citing papers authored by Li Chen

Since Specialization
Citations

This map shows the geographic impact of Li Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Li Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Chen more than expected).

Fields of papers citing papers by Li Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Li Chen. The network helps show where Li Chen may publish in the future.

Co-authorship network of co-authors of Li Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Li Chen. A scholar is included among the top collaborators of Li Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Li Chen. Li Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhu, Ning, Hongyan Xu, Xi Zhang, & Li Chen. (2025). A study on the influence of rural tourism’s perceived destination restorative qualities on loyalty based on SOR model. Frontiers in Psychology. 16. 1529686–1529686. 6 indexed citations
2.
Chen, Li, et al.. (2025). Causality-Inspired Fair Representation Learning for Multimodal Recommendation. ACM Transactions on Information Systems. 43(6). 1–29.
3.
Chen, Rui, et al.. (2024). Adaptive Hardness Negative Sampling for Collaborative Filtering. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 8645–8652. 8 indexed citations
4.
5.
Jin, Yucheng, et al.. (2024). The way you assess matters: User interaction design of survey chatbots for mental health. International Journal of Human-Computer Studies. 189. 103290–103290. 3 indexed citations
6.
Chen, Li, et al.. (2024). Short-term exposure to low doses of aflatoxin B1 aggravates nonalcoholic steatohepatitis by TLR4-mediated necroptosis. Free Radical Biology and Medicine. 226. 129–142. 2 indexed citations
7.
Zhao, Yuhan, et al.. (2024). Denoising and Augmented Negative Sampling for Collaborative Filtering. 3(4). 1–23. 1 indexed citations
8.
Jin, Yucheng, et al.. (2024). Exploring the Design of Generative AI in Supporting Music-based Reminiscence for Older Adults. Lirias (KU Leuven). 1–17. 15 indexed citations
9.
10.
Wang, Weiyan, Yiming Zhang, Yilun Jin, Tian Han, & Li Chen. (2023). MDP: Model Decomposition and Parallelization of Vision Transformer for Distributed Edge Inference. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 570–578. 1 indexed citations
11.
Li, Lei, Yongfeng Zhang, & Li Chen. (2023). Personalized Prompt Learning for Explainable Recommendation. ACM Transactions on Information Systems. 41(4). 1–26. 90 indexed citations breakdown →
12.
Chen, Li, et al.. (2023). Disentangled Negative Sampling for Collaborative Filtering. 96–104. 9 indexed citations
13.
14.
Jin, Yucheng, et al.. (2023). CRS-Que : A User-centric Evaluation Framework for Conversational Recommender Systems. 2(1). 1–34. 4 indexed citations
15.
Li, Lei, Yongfeng Zhang, & Li Chen. (2023). Prompt Distillation for Efficient LLM-based Recommendation. 1348–1357. 65 indexed citations
16.
Jin, Yucheng, et al.. (2022). Task-Oriented User Evaluation on Critiquing-Based Recommendation Chatbots. IEEE Transactions on Human-Machine Systems. 52(3). 354–366. 8 indexed citations
17.
Chen, Li, et al.. (2022). The Influence of Personality Traits on User Interaction with Recommendation Interfaces. ACM Transactions on Interactive Intelligent Systems. 13(1). 1–39. 4 indexed citations
18.
Li, Lei, Yongfeng Zhang, & Li Chen. (2022). On the Relationship between Explanation and Recommendation: Learning to Rank Explanations for Improved Performance. ACM Transactions on Intelligent Systems and Technology. 14(2). 1–24. 8 indexed citations
19.
Li, Lei, Yongfeng Zhang, & Li Chen. (2021). Personalized Transformer for Explainable Recommendation. 4947–4957. 75 indexed citations
20.
Shi, Benyun, et al.. (2014). Forecasting disease incidences using state space model. HKBU Institutional Repository (Hong Kong Baptist University). 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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