Ye Li
- Computer Networks and Communications top 0.2%
- Signal Processing top 0.5%
- Speech and Audio Processing 30
- Blind Source Separation Techniques 30
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- ECG Monitoring and Analysis 35
- Heart Rate Variability and Autonomic Control 25
- Health Information Management top 0.5%
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- Non-Invasive Vital Sign Monitoring 52
- Wireless Body Area Networks 28
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- EEG and Brain-Computer Interfaces 23
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- Advanced MIMO Systems Optimization 17
Ye Li
374 papers receiving 8.9k citations
Hit Papers
Peers
Comparison fields: 5 of 197
- Computer Networks and Communications 3.7k
- Signal Processing 1.3k
- Cardiology and Cardiovascular Medicine 1.7k
- Health Information Management 235
- Computer Vision and Pattern Recognition 1.0k
Countries citing papers authored by Ye Li
This map shows the geographic impact of Ye 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 Ye Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Li more than expected).
Fields of papers citing papers by Ye Li
This network shows the impact of papers produced by Ye 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 Ye Li. The network helps show where Ye Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ye 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 | 3 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 17 | |
| 8 | 2024 | 4 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 2 | |
| 12 | 2021 | 15 | |
| 13 | 2021 | 1 | |
| 14 | 2021 | 7 | |
| 15 | 2020 | 16 | |
| 16 | 2020 | 20 | |
| 17 | 2018 | 2 | |
| 18 | 2018 | 35 | |
| 19 | Self-synchronization theory of a nonlinear vibration system driven by two exciters. Part 2: Numeric analysis and experimental verification | 2014 | 2 |
| 20 | 2010 | 21 |
About Ye Li
Ye Li is a scholar working on Signal Processing, Computer Networks and Communications, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine and Health Information Management, having authored 417 papers that have together received 9.3k indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (52 papers), ECG Monitoring and Analysis (35 papers), Speech and Audio Processing (30 papers), Blind Source Separation Techniques (30 papers), Wireless Body Area Networks (28 papers), Heart Rate Variability and Autonomic Control (25 papers), EEG and Brain-Computer Interfaces (23 papers) and Advanced MIMO Systems Optimization (17 papers). The work is most often cited by research in Computer Networks and Communications (3.7k citations), Signal Processing (1.3k citations), Cardiology and Cardiovascular Medicine (1.7k citations), Health Information Management (235 citations) and Computer Vision and Pattern Recognition (1.0k citations). Ye Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ghurumuruhan Ganesan, Fen Miao, Xiaomao Fan, Guodong Zhao, Jun Ma, Ruxin Wang, Zhi Ding, Fangmin Sun, Yunpeng Cai and Jikui Liu. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, IEEE Access, Sensors, IEEE Transactions on Signal Processing and IEEE Internet of Things Journal.
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.