Muye Pang
Impact in
- Rehabilitation top 2%
- Stroke Rehabilitation and Recovery
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Motor Control and Adaptation
Papers in
-
- Muscle activation and electromyography studies 47
- Prosthetics and Rehabilitation Robotics 22
- Robotic Locomotion and Control 7
- Advanced Sensor and Energy Harvesting Materials 6
-
- EEG and Brain-Computer Interfaces 16
- Motor Control and Adaptation 9
- Co-authors
- Shuxiang Guo (21 shared papers)Kui Xiang (36 shared papers)Songyuan Zhang (15 shared papers)Hideyuki Hirata (3 shared papers)Hidenori Ishihara (3 shared papers)Zhibin Song (9 shared papers)Baofeng Gao (3 shared papers)Qiang Huang (2 shared papers)
- Journals
- IEEE Access (3 papers)IEEE Robotics and Automation Letters (2 papers)Frontiers in Bioengineering and Biotechnology (1 paper)Applied Sciences (1 paper)Frontiers in Neurorobotics (1 paper)
- Partner nations
- ChinaJapanUnited Kingdom
In The Last Decade
Muye Pang
59 papers receiving 563 citations
Peers
Comparison fields: 5 of 70
- Rehabilitation 165
- Cognitive Neuroscience 172
- Biomedical Engineering 394
- Human-Computer Interaction 36
- Control and Systems Engineering 74
Countries citing papers authored by Muye Pang
This map shows the geographic impact of Muye Pang'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 Muye Pang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muye Pang more than expected).
Fields of papers citing papers by Muye Pang
This network shows the impact of papers produced by Muye Pang. 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 Muye Pang. The network helps show where Muye Pang may publish in the future.
Co-authors
The 25 scholars most cited alongside Muye Pang, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 62 | |
| 2 | 2016 | 48 | |
| 3 | 2020 | 43 | |
| 4 | 2015 | 41 | |
| 5 | 2018 | 35 | |
| 6 | 2019 | 30 | |
| 7 | 2012 | 26 | |
| 8 | 2017 | 26 | |
| 9 | 2021 | 22 | |
| 10 | 2015 | 18 | |
| 11 | 2016 | 16 | |
| 12 | 2024 | 15 | |
| 13 | 2012 | 12 | |
| 14 | 2023 | 12 | |
| 15 | 2018 | 11 | |
| 16 | 2012 | 11 | |
| 17 | 2020 | 10 | |
| 18 | 2012 | 8 | |
| 19 | 2020 | 7 | |
| 20 | 2014 | 7 |
About Muye Pang
Muye Pang is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Rehabilitation, Control and Systems Engineering and Physical Therapy, Sports Therapy and Rehabilitation, having authored 65 papers that have together received 572 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (47 papers), Prosthetics and Rehabilitation Robotics (22 papers), Stroke Rehabilitation and Recovery (19 papers), EEG and Brain-Computer Interfaces (16 papers), Motor Control and Adaptation (9 papers), Balance, Gait, and Falls Prevention (8 papers), Robotic Locomotion and Control (7 papers) and Advanced Sensor and Energy Harvesting Materials (6 papers). The work is most often cited by research in Rehabilitation (165 citations), Cognitive Neuroscience (172 citations), Biomedical Engineering (394 citations), Human-Computer Interaction (36 citations) and Control and Systems Engineering (74 citations). Muye Pang has collaborated with scholars based in China, Japan and United Kingdom. Frequent co-authors include Shuxiang Guo, Kui Xiang, Songyuan Zhang, Hideyuki Hirata, Hidenori Ishihara, Zhibin Song, Baofeng Gao, Qiang Huang, Fang Yang and Longzhi Yang. Their work appears in journals such as IEEE Access, IEEE Robotics and Automation Letters, Frontiers in Bioengineering and Biotechnology, Applied Sciences and Frontiers in Neurorobotics.
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.