Ya‐Hsin Hsueh
Impact in
- Rehabilitation top 10%
- Stroke Rehabilitation and Recovery
Papers in
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- Muscle activation and electromyography studies 11
- Advanced Sensor and Energy Harvesting Materials 4
- Soft Robotics and Applications 4
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- Advanced Memory and Neural Computing 5
- Co-authors
- Chua‐Chin Wang (13 shared papers)Chun-Yu Yeh (4 shared papers)U-Fat Chio (3 shared papers)Wenwei Yu (6 shared papers)Cheng‐Deng Kuo (2 shared papers)Shao Ying Huang (5 shared papers)Xinyao Guo (1 shared paper)Chien‐Chih Chen (1 shared paper)
In The Last Decade
Ya‐Hsin Hsueh
38 papers receiving 344 citations
Peers
Comparison fields: 5 of 64
- Rehabilitation 59
- Physical Therapy, Sports Therapy and Rehabilitation 16
- Biomedical Engineering 165
- Gastroenterology 17
- Human-Computer Interaction 21
Countries citing papers authored by Ya‐Hsin Hsueh
This map shows the geographic impact of Ya‐Hsin Hsueh'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 Ya‐Hsin Hsueh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya‐Hsin Hsueh more than expected).
Fields of papers citing papers by Ya‐Hsin Hsueh
This network shows the impact of papers produced by Ya‐Hsin Hsueh. 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 Ya‐Hsin Hsueh. The network helps show where Ya‐Hsin Hsueh may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya‐Hsin Hsueh, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 40 | |
| 2 | 2004 | 33 | |
| 3 | 2011 | 30 | |
| 4 | 2021 | 29 | |
| 5 | 2016 | 29 | |
| 6 | 2022 | 21 | |
| 7 | 2020 | 19 | |
| 8 | 2012 | 16 | |
| 9 | 2009 | 13 | |
| 10 | 2023 | 12 | |
| 11 | 2015 | 12 | |
| 12 | 2004 | 11 | |
| 13 | 2005 | 11 | |
| 14 | 2015 | 10 | |
| 15 | 2021 | 10 | |
| 16 | 2021 | 9 | |
| 17 | 2017 | 7 | |
| 18 | 2021 | 5 | |
| 19 | 2004 | 5 | |
| 20 | 2024 | 4 |
About Ya‐Hsin Hsueh
Ya‐Hsin Hsueh is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Cognitive Neuroscience, Rehabilitation and Cellular and Molecular Neuroscience, having authored 45 papers that have together received 357 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (11 papers), Stroke Rehabilitation and Recovery (6 papers), Advanced Memory and Neural Computing (5 papers), Neuroscience and Neural Engineering (5 papers), EEG and Brain-Computer Interfaces (5 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), Soft Robotics and Applications (4 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Rehabilitation (59 citations), Physical Therapy, Sports Therapy and Rehabilitation (16 citations), Biomedical Engineering (165 citations), Gastroenterology (17 citations) and Human-Computer Interaction (21 citations). Ya‐Hsin Hsueh has collaborated with scholars based in Taiwan, Japan and Singapore. Frequent co-authors include Chua‐Chin Wang, Chun-Yu Yeh, U-Fat Chio, Wenwei Yu, Cheng‐Deng Kuo, Shao Ying Huang, Xinyao Guo, Chien‐Chih Chen, Hsiao-Yun Chang and Shanq-Jang Ruan. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Electronics, The American Journal of Chinese Medicine and Applied Sciences.
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.