Shih-Han Chou
- Rehabilitation top 5%
- Computer Vision and Pattern Recognition top 10%
- Psychiatry and Mental health
- Neurology
- Artificial Intelligence
- Co-authors
- Ching‐Yi WuChia‐Ling ChenKeh‐chung LinWen‐Chung TsaiMin SunKuo-Hao ZengJuan Carlos NieblesJianlong Fu
- Topics
- Multimodal Machine Learning Applications (5 papers)Advanced Image and Video Retrieval Techniques (4 papers)Stroke Rehabilitation and Recovery (3 papers)
- Cited by
- RehabilitationPhysical Therapy, Sports Therapy and RehabilitationPsychiatry and Mental health
- Journals
- Archives of Physical Medicine and RehabilitationPlant Physiology and BiochemistryComputer Vision and Image Understanding
- Partner nations
- TaiwanCanadaUnited States
In The Last Decade
Shih-Han Chou
9 papers receiving 259 citations
Peers
Comparison fields: 5 of 60
- Rehabilitation 125
- Computer Vision and Pattern Recognition 84
- Psychiatry and Mental health 71
- Neurology 69
- Artificial Intelligence 36
Countries citing papers authored by Shih-Han Chou
This map shows the geographic impact of Shih-Han Chou'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 Shih-Han Chou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shih-Han Chou more than expected).
Fields of papers citing papers by Shih-Han Chou
This network shows the impact of papers produced by Shih-Han Chou. 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 Shih-Han Chou. The network helps show where Shih-Han Chou may publish in the future.
Co-authorship network of co-authors of Shih-Han Chou
This figure shows the co-authorship network connecting the top 25 collaborators of Shih-Han Chou. A scholar is included among the top collaborators of Shih-Han Chou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shih-Han Chou. Shih-Han Chou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 15 | |
| 5 | 27 | |
| 6 | 13 | |
| 7 | 47 | |
| 8 | 20 | |
| 9 | 11 | |
| 10 | 18 | |
| 11 | 114 |
About Shih-Han Chou
Shih-Han Chou is a scholar working on Rehabilitation, Computer Vision and Pattern Recognition and Physical Therapy, Sports Therapy and Rehabilitation, having authored 11 papers that have together received 267 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Stroke Rehabilitation and Recovery (3 papers). The work is most often cited by research in Rehabilitation (125 citations), Physical Therapy, Sports Therapy and Rehabilitation (27 citations) and Psychiatry and Mental health (71 citations). Shih-Han Chou has collaborated with scholars based in Taiwan, Canada and United States. Frequent co-authors include Ching‐Yi Wu, Chia‐Ling Chen, Keh‐chung Lin, Wen‐Chung Tsai, Min Sun, Kuo-Hao Zeng, Juan Carlos Niebles, Jianlong Fu, Cheng Sun and Wan‐Ting Hsu. Their work appears in journals such as Archives of Physical Medicine and Rehabilitation, Plant Physiology and Biochemistry and Computer Vision and Image Understanding.
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.