Tiebin Yan
- Rehabilitation top 0.5%
- Stroke Rehabilitation and Recovery 36
- Neurology top 5%
- Botulinum Toxin and Related Neurological Disorders 12
- Psychiatry and Mental health top 5%
- Cerebral Palsy and Movement Disorders 19
- Neurology top 5%
- Botulinum Toxin and Related Neurological Disorders 12
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- Muscle activation and electromyography studies 18
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- Spinal Cord Injury Research 8
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- Acupuncture Treatment Research Studies 7
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- Lipoproteins and Cardiovascular Health 6
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- EEG and Brain-Computer Interfaces 6
- Journals
- Lipids in Health and Disease (6 papers)Journal of Rehabilitation Medicine (5 papers)Disability and Rehabilitation (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Tiebin Yan
96 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 141
- Rehabilitation 577
- Neurology 287
- Physical Therapy, Sports Therapy and Rehabilitation 103
- Psychiatry and Mental health 345
- Neurology 279
Countries citing papers authored by Tiebin Yan
This map shows the geographic impact of Tiebin Yan'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 Tiebin Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiebin Yan more than expected).
Fields of papers citing papers by Tiebin Yan
This network shows the impact of papers produced by Tiebin Yan. 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 Tiebin Yan. The network helps show where Tiebin Yan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tiebin Yan, 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 | 2024 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2021 | 13 | |
| 4 | 2021 | 5 | |
| 5 | 2021 | 9 | |
| 6 | 2020 | 10 | |
| 7 | 2020 | 7 | |
| 8 | 2020 | 13 | |
| 9 | 2019 | 3 | |
| 10 | 2018 | 2 | |
| 11 | 2018 | 8 | |
| 12 | 2018 | 5 | |
| 13 | 2018 | 1 | |
| 14 | 2017 | 0 | |
| 15 | 2016 | 15 | |
| 16 | 2016 | 37 | |
| 17 | 2013 | 18 | |
| 18 | 2011 | 18 | |
| 19 | 2011 | 23 | |
| 20 | 2010 | 20 |
About Tiebin Yan
Tiebin Yan is a scholar working on Rehabilitation, Neurology and Psychiatry and Mental health, having authored 101 papers that have together received 2.0k indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (36 papers), Cerebral Palsy and Movement Disorders (19 papers), Muscle activation and electromyography studies (18 papers), Botulinum Toxin and Related Neurological Disorders (12 papers), Spinal Cord Injury Research (8 papers), Acupuncture Treatment Research Studies (7 papers), Lipoproteins and Cardiovascular Health (6 papers) and EEG and Brain-Computer Interfaces (6 papers). The work is most often cited by research in Rehabilitation (577 citations), Neurology (287 citations) and Physical Therapy, Sports Therapy and Rehabilitation (103 citations). Tiebin Yan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include C.W.Y. Hui-Chan, Leonard S.W. Li, Dongmei Jin, Liming You, Shaoling Wu, Zheng Lin, Xiaokuo He, Kun Li, Minghong Sui and Xiuyuan Zheng. Their work appears in journals such as Lipids in Health and Disease, Journal of Rehabilitation Medicine, Disability and Rehabilitation, Archives of Physical Medicine and Rehabilitation and Clinical Rehabilitation.
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.