Yen-Ting Chen
Impact in
- Rehabilitation top 5%
- Stroke Rehabilitation and Recovery
- Biochemistry top 10%
- Antioxidant Activity and Oxidative Stress
Papers in
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- Heart Rate Variability and Autonomic Control 5
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- EEG and Brain-Computer Interfaces 3
- Co-authors
- Sheng Li (8 shared papers)Ping Zhou (7 shared papers)Gerard E. Francisco (2 shared papers)William Z. Rymer (1 shared paper)Min‐Wei Huang (5 shared papers)Feng‐Mao Lin (1 shared paper)Ming‐Daw Tsai (1 shared paper)Yu‐Ching Teng (1 shared paper)
- Journals
- Medicine (6 papers)Applied Sciences (2 papers)Journal of Materials Engineering and Performance (2 papers)Journal of the Neurological Sciences (1 paper)Journal of Pain Research (1 paper)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Yen-Ting Chen
34 papers receiving 568 citations
Peers
Comparison fields: 5 of 105
- Rehabilitation 82
- Biochemistry 52
- Neurology 47
- Neurology 70
- Cancer Research 53
Countries citing papers authored by Yen-Ting Chen
This map shows the geographic impact of Yen-Ting Chen'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 Yen-Ting Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yen-Ting Chen more than expected).
Fields of papers citing papers by Yen-Ting Chen
This network shows the impact of papers produced by Yen-Ting Chen. 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 Yen-Ting Chen. The network helps show where Yen-Ting Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yen-Ting Chen, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 119 | |
| 2 | 2019 | 98 | |
| 3 | 2017 | 61 | |
| 4 | 2021 | 35 | |
| 5 | 2013 | 30 | |
| 6 | 2013 | 26 | |
| 7 | 2021 | 23 | |
| 8 | 2018 | 20 | |
| 9 | 2011 | 18 | |
| 10 | 2016 | 17 | |
| 11 | 2019 | 15 | |
| 12 | 2019 | 11 | |
| 13 | 2018 | 10 | |
| 14 | 2020 | 10 | |
| 15 | 2019 | 9 | |
| 16 | 2019 | 8 | |
| 17 | 2021 | 8 | |
| 18 | 2019 | 6 | |
| 19 | 2015 | 6 | |
| 20 | 2022 | 6 |
About Yen-Ting Chen
Yen-Ting Chen is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Molecular Biology, Neurology and Epidemiology, having authored 35 papers that have together received 577 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (5 papers), Heart Rate Variability and Autonomic Control (5 papers), Thyroid Disorders and Treatments (5 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Botulinum Toxin and Related Neurological Disorders (4 papers), Muscle activation and electromyography studies (4 papers), Neurological disorders and treatments (3 papers) and EEG and Brain-Computer Interfaces (3 papers). The work is most often cited by research in Rehabilitation (82 citations), Biochemistry (52 citations), Neurology (47 citations), Neurology (70 citations) and Cancer Research (53 citations). Yen-Ting Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Sheng Li, Ping Zhou, Gerard E. Francisco, William Z. Rymer, Min‐Wei Huang, Feng‐Mao Lin, Ming‐Daw Tsai, Yu‐Ching Teng, Pei‐Wen Hsiao and Yiren Chen. Their work appears in journals such as Medicine, Applied Sciences, Journal of Materials Engineering and Performance, Journal of the Neurological Sciences and Journal of Pain Research.
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.