Wei‐en Wang
Impact in
- Rehabilitation top 10%
- Stroke Rehabilitation and Recovery
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
Papers in
- Physiology 14
- Alzheimer's disease research and treatments 8
- Pain Mechanisms and Treatments 6
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- EEG and Brain-Computer Interfaces 6
- Motor Control and Adaptation 3
- Co-authors
- Stephen A. Coombes (15 shared papers)Gaurav Misra (3 shared papers)Arnab Roy (3 shared papers)Derek B. Archer (2 shared papers)David E. Vaillancourt (13 shared papers)Ku‐Chou Chang (1 shared paper)Ching‐Yi Wu (1 shared paper)Chih-Chi Chen (1 shared paper)
- Journals
- NeuroImage Clinical (2 papers)Frontiers in Neurology (2 papers)Journal of Alzheimer s Disease (2 papers)Pain (2 papers)Alzheimer s & Dementia (1 paper)
- Partner nations
- United StatesTaiwanGreece
In The Last Decade
Wei‐en Wang
27 papers receiving 268 citations
Peers
Comparison fields: 5 of 60
- Rehabilitation 43
- Cognitive Neuroscience 113
- Complementary and Manual Therapy 10
- Neurology 54
- Physiology 86
Countries citing papers authored by Wei‐en Wang
This map shows the geographic impact of Wei‐en Wang'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 Wei‐en Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei‐en Wang more than expected).
Fields of papers citing papers by Wei‐en Wang
This network shows the impact of papers produced by Wei‐en Wang. 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 Wei‐en Wang. The network helps show where Wei‐en Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei‐en Wang, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 62 | |
| 2 | 2016 | 43 | |
| 3 | 2021 | 22 | |
| 4 | 2019 | 18 | |
| 5 | 2020 | 14 | |
| 6 | 2018 | 11 | |
| 7 | 2020 | 11 | |
| 8 | 2024 | 10 | |
| 9 | 2023 | 8 | |
| 10 | 2022 | 8 | |
| 11 | 2024 | 8 | |
| 12 | 2024 | 6 | |
| 13 | 2018 | 6 | |
| 14 | 2020 | 5 | |
| 15 | 2024 | 5 | |
| 16 | 2024 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2023 | 3 |
About Wei‐en Wang
Wei‐en Wang is a scholar working on Physiology, Cognitive Neuroscience, Psychiatry and Mental health, Neurology and Pharmacology, having authored 28 papers that have together received 270 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (8 papers), Dementia and Cognitive Impairment Research (6 papers), Pain Mechanisms and Treatments (6 papers), EEG and Brain-Computer Interfaces (6 papers), Musculoskeletal pain and rehabilitation (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Motor Control and Adaptation (3 papers) and Heart Rate Variability and Autonomic Control (3 papers). The work is most often cited by research in Rehabilitation (43 citations), Cognitive Neuroscience (113 citations), Complementary and Manual Therapy (10 citations), Neurology (54 citations) and Physiology (86 citations). Wei‐en Wang has collaborated with scholars based in United States, Taiwan and Greece. Frequent co-authors include Stephen A. Coombes, Gaurav Misra, Arnab Roy, Derek B. Archer, David E. Vaillancourt, Ku‐Chou Chang, Ching‐Yi Wu, Chih-Chi Chen, Margarete Ribeiro-Dasilva and Keh‐chung Lin. Their work appears in journals such as NeuroImage Clinical, Frontiers in Neurology, Journal of Alzheimer s Disease, Pain and Alzheimer s & Dementia.
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.