Wan-Ying Chang
Impact in
- Rehabilitation top 2%
- Stroke Rehabilitation and Recovery
- Psychiatry and Mental health top 10%
- Cerebral Palsy and Movement Disorders
- Dementia and Cognitive Impairment Research
Papers in
Wan-Ying Chang
22 papers receiving 485 citations
Peers
Comparison fields: 5 of 80
- Rehabilitation 276
- Psychiatry and Mental health 154
- Neurology 153
- Neuropsychology and Physiological Psychology 12
- Geriatrics and Gerontology 19
Countries citing papers authored by Wan-Ying Chang
This map shows the geographic impact of Wan-Ying Chang'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 Wan-Ying Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wan-Ying Chang more than expected).
Fields of papers citing papers by Wan-Ying Chang
This network shows the impact of papers produced by Wan-Ying Chang. 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 Wan-Ying Chang. The network helps show where Wan-Ying Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wan-Ying Chang, 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 | 2024 | 2 | |
| 3 | 2024 | 5 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 7 | |
| 6 | Demographic Differences in the Publication Output of U.S. Doctorate Recipients. | 2019 | 2 |
| 7 | 2019 | 64 | |
| 8 | 2019 | 20 | |
| 9 | 2019 | 1 | |
| 10 | 2018 | 19 | |
| 11 | 2018 | 12 | |
| 12 | 2018 | 17 | |
| 13 | 2015 | 11 | |
| 14 | Employment Decisions of U.S. and Foreign Doctoral Graduates: A Comparative Study | 2014 | 2 |
| 15 | 2011 | 136 | |
| 16 | 2010 | 120 | |
| 17 | Focus on function in geriatric assessment and rehab. | 2000 | 2 |
| 18 | 1998 | 14 | |
| 19 | Evaluating the FONE FIM: Part II. Concurrent validity & influencing factors. | 1997 | 18 |
| 20 | Evaluating the FONE FIM: Part I. Construct validity. | 1997 | 25 |
About Wan-Ying Chang
Wan-Ying Chang is a scholar working on Occupational Therapy, Neuropsychology and Physiological Psychology, Rehabilitation, Family Practice and Psychiatry and Mental health, having authored 22 papers that have together received 496 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Stroke Rehabilitation and Recovery (4 papers), AI in cancer detection (3 papers), Dementia and Cognitive Impairment Research (3 papers), Innovations in Medical Education (3 papers), MRI in cancer diagnosis (2 papers), Botulinum Toxin and Related Neurological Disorders (2 papers) and Musculoskeletal pain and rehabilitation (2 papers). The work is most often cited by research in Rehabilitation (276 citations), Psychiatry and Mental health (154 citations), Neurology (153 citations), Neuropsychology and Physiological Psychology (12 citations) and Geriatrics and Gerontology (19 citations). Wan-Ying Chang has collaborated with scholars based in Taiwan, China and Canada. Frequent co-authors include Keh‐chung Lin, Ching‐Yi Wu, Yu‐Wei Hsieh, Yuh Jang, Wan-Wen Liao, Li-Ling Chuang, Chetwyn C. H. Chan, Susan E. Slaughter, Man Chen and Wenshu Li. Their work appears in journals such as Archives of Physical Medicine and Rehabilitation, PLoS ONE, Medical Teacher, Insights into Imaging and BMC Cancer.
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.