Yuchen Li
Impact in
- Human-Computer Interaction top 10%
- Gaze Tracking and Assistive Technology
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
Papers in
-
- Text and Document Classification Technologies 5
- Topic Modeling 5
- Neural Networks and Applications 4
- Fuzzy Logic and Control Systems 3
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- Recommender Systems and Techniques 3
- Web Data Mining and Analysis 3
- Co-authors
- Guangming Shi (1 shared paper)Yi Niu (1 shared paper)Minghao Dong (1 shared paper)Hao Wu (1 shared paper)Boxun Fu (1 shared paper)Fu Li (1 shared paper)Haoyi Xiong (12 shared papers)Linghe Kong (10 shared papers)
- Journals
- IEEE Transactions on Services Computing (2 papers)IEEE Transactions on Knowledge and Data Engineering (2 papers)Information Sciences (1 paper)Ecological Indicators (1 paper)IEEE Transactions on Wireless Communications (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yuchen Li
22 papers receiving 269 citations
Peers
Comparison fields: 5 of 52
- Human-Computer Interaction 38
- Cognitive Neuroscience 134
- Cellular and Molecular Neuroscience 68
- Signal Processing 36
- Artificial Intelligence 47
Countries citing papers authored by Yuchen Li
This map shows the geographic impact of Yuchen 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 Yuchen Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuchen Li more than expected).
Fields of papers citing papers by Yuchen Li
This network shows the impact of papers produced by Yuchen 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 Yuchen Li. The network helps show where Yuchen Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuchen 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
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 137 | |
| 2 | 2024 | 33 | |
| 3 | 2024 | 19 | |
| 4 | 2023 | 12 | |
| 5 | 2020 | 11 | |
| 6 | 2024 | 10 | |
| 7 | 2024 | 9 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 6 | |
| 10 | 2025 | 6 | |
| 11 | 2024 | 5 | |
| 12 | 2021 | 4 | |
| 13 | 2023 | 4 | |
| 14 | 2025 | 2 | |
| 15 | 2021 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2025 | 1 |
About Yuchen Li
Yuchen Li is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Molecular Biology and Signal Processing, having authored 27 papers that have together received 276 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (5 papers), Topic Modeling (5 papers), Neural Networks and Applications (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Fuzzy Logic and Control Systems (3 papers), Recommender Systems and Techniques (3 papers), Web Data Mining and Analysis (3 papers) and Online Learning and Analytics (2 papers). The work is most often cited by research in Human-Computer Interaction (38 citations), Cognitive Neuroscience (134 citations), Cellular and Molecular Neuroscience (68 citations), Signal Processing (36 citations) and Artificial Intelligence (47 citations). Yuchen Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Guangming Shi, Yi Niu, Minghao Dong, Hao Wu, Boxun Fu, Fu Li, Haoyi Xiong, Linghe Kong, Xuhong Li and 将尚 渡辺. Their work appears in journals such as IEEE Transactions on Services Computing, IEEE Transactions on Knowledge and Data Engineering, Information Sciences, Ecological Indicators and IEEE Transactions on Wireless Communications.
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.