Shun-Hwa Wei
- Biomedical Engineering top 10%
- Surgery top 10%
- Pathology and Forensic Medicine top 5%
- Orthopedics and Sports Medicine top 5%
- Physical Therapy, Sports Therapy and Rehabilitation top 2%
- Co-authors
- Chen-Sheng ChenChung-Lan KaoChung-Huang YuPo-Yin ChenChi‐Kuang FengLi‐Wei ChouMei‐Wun TsaiZheng-Cheng Zhong
- Topics
- Balance, Gait, and Falls Prevention (13 papers)Muscle activation and electromyography studies (10 papers)Cerebral Palsy and Movement Disorders (8 papers)
- Cited by
- Physical Therapy, Sports Therapy and RehabilitationOrthopedics and Sports MedicineRehabilitation
- Journals
- Scientific ReportsSpineSensors
- Partner nations
- TaiwanUnited StatesSingapore
In The Last Decade
Shun-Hwa Wei
44 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 96
- Biomedical Engineering 372
- Surgery 294
- Pathology and Forensic Medicine 255
- Orthopedics and Sports Medicine 204
- Physical Therapy, Sports Therapy and Rehabilitation 170
Countries citing papers authored by Shun-Hwa Wei
This map shows the geographic impact of Shun-Hwa Wei'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 Shun-Hwa Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shun-Hwa Wei more than expected).
Fields of papers citing papers by Shun-Hwa Wei
This network shows the impact of papers produced by Shun-Hwa Wei. 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 Shun-Hwa Wei. The network helps show where Shun-Hwa Wei may publish in the future.
Co-authorship network of co-authors of Shun-Hwa Wei
This figure shows the co-authorship network connecting the top 25 collaborators of Shun-Hwa Wei. A scholar is included among the top collaborators of Shun-Hwa Wei 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 Shun-Hwa Wei. Shun-Hwa Wei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 18 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 58 | |
| 8 | 9 | |
| 9 | 38 | |
| 10 | 64 | |
| 11 | 32 | |
| 12 | 8 | |
| 13 | 52 | |
| 14 | 31 | |
| 15 | 2 | |
| 16 | 8 | |
| 17 | 44 | |
| 18 | 50 | |
| 19 | 16 | |
| 20 | 17 |
About Shun-Hwa Wei
Shun-Hwa Wei is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Rehabilitation and Neurology, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Balance, Gait, and Falls Prevention (13 papers), Muscle activation and electromyography studies (10 papers) and Cerebral Palsy and Movement Disorders (8 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (170 citations), Orthopedics and Sports Medicine (204 citations) and Rehabilitation (159 citations). Shun-Hwa Wei has collaborated with scholars based in Taiwan, United States and Singapore. Frequent co-authors include Chen-Sheng Chen, Chung-Lan Kao, Chung-Huang Yu, Po-Yin Chen, Chi‐Kuang Feng, Li‐Wei Chou, Mei‐Wun Tsai, Zheng-Cheng Zhong, Ya‐Ju Chang and Wan-Ling Hsieh. Their work appears in journals such as Scientific Reports, Spine and Sensors.
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.