Yan-Li Lee
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Artificial Intelligence top 10%
- Advanced Graph Neural Networks
- Advanced Clustering Algorithms Research
- Text and Document Classification Technologies
- Topic Modeling
Papers in
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- Complex Network Analysis Techniques 13
- Opinion Dynamics and Social Influence 4
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- Advanced Graph Neural Networks 5
- Sentiment Analysis and Opinion Mining 2
- Co-authors
- Tao Zhou (11 shared papers)Dong Hao (1 shared paper)Ye Yuan (1 shared paper)Guannan Wang (1 shared paper)Cong Wang (1 shared paper)Duanbing Chen (1 shared paper)Yajun Du (8 shared papers)Liming Pan (3 shared papers)
- Journals
- Physica A Statistical Mechanics and its Applications (4 papers)Information Sciences (3 papers)Applied Mathematics and Computation (2 papers)Expert Systems with Applications (2 papers)Information Fusion (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Yan-Li Lee
18 papers receiving 256 citations
Peers
Comparison fields: 5 of 56
- Statistical and Nonlinear Physics 157
- Artificial Intelligence 174
- Signal Processing 16
- Transportation 9
- Information Systems 30
Countries citing papers authored by Yan-Li Lee
This map shows the geographic impact of Yan-Li Lee'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 Yan-Li Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan-Li Lee more than expected).
Fields of papers citing papers by Yan-Li Lee
This network shows the impact of papers produced by Yan-Li Lee. 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 Yan-Li Lee. The network helps show where Yan-Li Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan-Li Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 76 | |
| 2 | 2020 | 58 | |
| 3 | 2020 | 40 | |
| 4 | 2023 | 14 | |
| 5 | 2022 | 13 | |
| 6 | 2024 | 10 | |
| 7 | 2024 | 10 | |
| 8 | 2021 | 9 | |
| 9 | 2017 | 8 | |
| 10 | 2024 | 7 | |
| 11 | 2024 | 6 | |
| 12 | 2024 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Yan-Li Lee
Yan-Li Lee is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Molecular Biology, Information Systems and Computer Networks and Communications, having authored 21 papers that have together received 261 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (13 papers), Advanced Graph Neural Networks (5 papers), Opinion Dynamics and Social Influence (4 papers), Bioinformatics and Genomic Networks (4 papers), Recommender Systems and Techniques (4 papers), Data Management and Algorithms (2 papers), Peer-to-Peer Network Technologies (2 papers) and Sentiment Analysis and Opinion Mining (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (157 citations), Artificial Intelligence (174 citations), Signal Processing (16 citations), Transportation (9 citations) and Information Systems (30 citations). Yan-Li Lee has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Tao Zhou, Dong Hao, Ye Yuan, Guannan Wang, Cong Wang, Duanbing Chen, Yajun Du, Liming Pan, Xianyong Li and Kexin Yang. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Information Sciences, Applied Mathematics and Computation, Expert Systems with Applications and Information Fusion.
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.