Wenwei Yu
Impact in
- Cognitive Neuroscience top 2%
- EEG and Brain-Computer Interfaces
- Biomedical Engineering top 5%
- Muscle activation and electromyography studies
- Soft Robotics and Applications
- Prosthetics and Rehabilitation Robotics
Papers in
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- Muscle activation and electromyography studies 53
- Soft Robotics and Applications 29
- Prosthetics and Rehabilitation Robotics 26
- Advanced Sensor and Energy Harvesting Materials 12
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- EEG and Brain-Computer Interfaces 30
- Co-authors
- U. Rajendra AcharyaOliver FaustShao Ying HuangJosé González-VargasSubhagata ChattopadhyayS. Vinitha SreeE. Y. K. NgHiroshi Yokoi
In The Last Decade
Wenwei Yu
154 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 152
- Cognitive Neuroscience 683
- Biomedical Engineering 921
- Signal Processing 145
- Radiology, Nuclear Medicine and Imaging 302
- Human-Computer Interaction 70
Countries citing papers authored by Wenwei Yu
This map shows the geographic impact of Wenwei Yu'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 Wenwei Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenwei Yu more than expected).
Fields of papers citing papers by Wenwei Yu
This network shows the impact of papers produced by Wenwei Yu. 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 Wenwei Yu. The network helps show where Wenwei Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wenwei Yu, 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 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 11 | |
| 10 | 2022 | 9 | |
| 11 | 2022 | 4 | |
| 12 | 2021 | 9 | |
| 13 | 2021 | 21 | |
| 14 | 2021 | 7 | |
| 15 | 2021 | 28 | |
| 16 | 2020 | 26 | |
| 17 | 2018 | 35 | |
| 18 | 2017 | 5 | |
| 19 | Proceedings 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010, Yantai, China, 16-18 October 2010 | 2010 | 1 |
| 20 | 2003 | 1 |
About Wenwei Yu
Wenwei Yu is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Rehabilitation, Human-Computer Interaction and Control and Systems Engineering, having authored 170 papers that have together received 2.2k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (53 papers), EEG and Brain-Computer Interfaces (30 papers), Soft Robotics and Applications (29 papers), Prosthetics and Rehabilitation Robotics (26 papers), Robot Manipulation and Learning (15 papers), Neuroscience and Neural Engineering (15 papers), Advanced Sensor and Energy Harvesting Materials (12 papers) and Social Robot Interaction and HRI (11 papers). The work is most often cited by research in Cognitive Neuroscience (683 citations), Biomedical Engineering (921 citations), Signal Processing (145 citations), Radiology, Nuclear Medicine and Imaging (302 citations) and Human-Computer Interaction (70 citations). Wenwei Yu has collaborated with scholars based in Japan, Singapore and China. Frequent co-authors include U. Rajendra Acharya, Oliver Faust, Shao Ying Huang, José González-Vargas, Subhagata Chattopadhyay, S. Vinitha Sree, E. Y. K. Ng, Hiroshi Yokoi, Nahrizul Adib Kadri and Yukinori Kakazu. Their work appears in journals such as IEEE Access, Robotics and Autonomous Systems, Journal of Medical Systems, IEEE Robotics and Automation Letters and Archives of Gerontology and Geriatrics.
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.