Chenliang Li
- Artificial Intelligence top 0.2%
- Topic Modeling 65
- Advanced Graph Neural Networks 35
- Natural Language Processing Techniques 27
- Text and Document Classification Technologies 22
- Sentiment Analysis and Opinion Mining 10
- Information Systems top 0.2%
- Recommender Systems and Techniques 47
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- Advanced Bandit Algorithms Research 13
- Transportation top 2%
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- Multimodal Machine Learning Applications 10
- Co-authors
- Aixin SunJing LiJianglei HanAnwitaman DattaZongyang MaDonghong JiWei Emma ZhangQuan Z. Sheng
- Journals
- ACM Transactions on Information Systems (11 papers)Information Processing & Management (11 papers)IEEE Transactions on Knowledge and Data Engineering (5 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Chenliang Li
126 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Artificial Intelligence 3.4k
- Information Systems 1.5k
- Statistical and Nonlinear Physics 417
- Management Science and Operations Research 418
- Transportation 197
Countries citing papers authored by Chenliang Li
This map shows the geographic impact of Chenliang Li'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 Chenliang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenliang Li more than expected).
Fields of papers citing papers by Chenliang Li
This network shows the impact of papers produced by Chenliang Li. 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 Chenliang Li. The network helps show where Chenliang Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chenliang Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 11 | |
| 8 | 2024 | 17 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 4 | |
| 11 | 2024 | 5 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 2 | |
| 15 | 2023 | 8 | |
| 16 | 2023 | 22 | |
| 17 | 2023 | 11 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 10 | |
| 20 | 2020 | 232 |
About Chenliang Li
Chenliang Li is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research, having authored 134 papers that have together received 4.5k indexed citations. Recurring topics across this work include Topic Modeling (65 papers), Recommender Systems and Techniques (47 papers), Advanced Graph Neural Networks (35 papers), Natural Language Processing Techniques (27 papers), Text and Document Classification Technologies (22 papers), Advanced Bandit Algorithms Research (13 papers), Sentiment Analysis and Opinion Mining (10 papers) and Multimodal Machine Learning Applications (10 papers). The work is most often cited by research in Artificial Intelligence (3.4k citations), Information Systems (1.5k citations) and Statistical and Nonlinear Physics (417 citations). Chenliang Li has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Aixin Sun, Jing Li, Jianglei Han, Anwitaman Datta, Zongyang Ma, Donghong Ji, Wei Emma Zhang, Quan Z. Sheng, Ahoud Alhazmi and Qiji Zhou. Their work appears in journals such as ACM Transactions on Information Systems, Information Processing & Management, IEEE Transactions on Knowledge and Data Engineering, Information Sciences and Journal of Intelligent & Fuzzy Systems.
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.