Yan Li
Impact in
- Signal Processing top 0.5%
- Blind Source Separation Techniques
- Cognitive Neuroscience top 0.5%
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
Papers in
-
- Blind Source Separation Techniques 35
- Data Management and Algorithms 17
-
- EEG and Brain-Computer Interfaces 75
- Neural dynamics and brain function 30
- Functional Brain Connectivity Studies 22
- Journals
- IEEE Access (10 papers)Expert Systems with Applications (8 papers)IEEE Transactions on Neural Systems and Rehabilitation Engineering (6 papers)Computers in Biology and Medicine (6 papers)Biomedical Signal Processing and Control (6 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Yan Li
446 papers receiving 10.5k citations
Hit Papers
Peers
Comparison fields: 5 of 215
- Signal Processing 1.4k
- Cognitive Neuroscience 2.4k
- Artificial Intelligence 3.3k
- Information Systems 2.3k
- Computer Vision and Pattern Recognition 1.5k
Countries citing papers authored by Yan Li
This map shows the geographic impact of Yan 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 Yan Li 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 more than expected).
Fields of papers citing papers by Yan Li
This network shows the impact of papers produced by Yan 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 Yan Li. The network helps show where Yan Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yan 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 1 | |
| 11 | 2023 | 7 | |
| 12 | 2023 | 9 | |
| 13 | 2023 | 13 | |
| 14 | 2023 | 5 | |
| 15 | 2023 | 15 | |
| 16 | 2023 | 38 | |
| 17 | 2023 | 0 | |
| 18 | 2022 | 4 | |
| 19 | 2022 | 8 | |
| 20 | 2022 | 112 |
About Yan Li
Yan Li is a scholar working on Signal Processing, Cognitive Neuroscience, Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology, having authored 503 papers that have together received 10.8k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (75 papers), Blind Source Separation Techniques (35 papers), Neural dynamics and brain function (30 papers), Neural Networks and Applications (27 papers), Functional Brain Connectivity Studies (22 papers), Advanced Image and Video Retrieval Techniques (18 papers), Data Management and Algorithms (17 papers) and Remote-Sensing Image Classification (17 papers). The work is most often cited by research in Signal Processing (1.4k citations), Cognitive Neuroscience (2.4k citations), Artificial Intelligence (3.3k citations), Information Systems (2.3k citations) and Computer Vision and Pattern Recognition (1.5k citations). Yan Li has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Peng Wen, Yongdong Zhang, Xiangnan He, Meng Wang, Xiang Wang, Siuly Siuly, Ravinesh C. Deo, Guohun Zhu, Mohammed Diykh and Tek Maraseni. Their work appears in journals such as IEEE Access, Expert Systems with Applications, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Computers in Biology and Medicine and Biomedical Signal Processing and Control.
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.