Shugeng Chen
Impact in
- Rehabilitation top 5%
- Stroke Rehabilitation and Recovery
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
Papers in
-
- EEG and Brain-Computer Interfaces 23
- Functional Brain Connectivity Studies 5
-
- Stroke Rehabilitation and Recovery 11
- Co-authors
- Jie Jia (30 shared papers)Hewei Wang (10 shared papers)Li Ding (10 shared papers)Xiaokang Shu (9 shared papers)Xiangyang Zhu (3 shared papers)Lei Cao (4 shared papers)Lin Yao (2 shared papers)Ning Jiang (2 shared papers)
- Journals
- Frontiers in Neuroscience (4 papers)Neural Plasticity (2 papers)BMJ Open (2 papers)Frontiers in Neurology (2 papers)JMIR mhealth and uhealth (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Shugeng Chen
35 papers receiving 552 citations
Peers
Comparison fields: 5 of 53
- Rehabilitation 133
- Cognitive Neuroscience 329
- Human-Computer Interaction 69
- Neurology 67
- Cellular and Molecular Neuroscience 122
Countries citing papers authored by Shugeng Chen
This map shows the geographic impact of Shugeng Chen'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 Shugeng Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shugeng Chen more than expected).
Fields of papers citing papers by Shugeng Chen
This network shows the impact of papers produced by Shugeng Chen. 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 Shugeng Chen. The network helps show where Shugeng Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Shugeng Chen, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 79 | |
| 2 | 2018 | 61 | |
| 3 | 2020 | 41 | |
| 4 | 2020 | 31 | |
| 5 | 2022 | 28 | |
| 6 | 2019 | 28 | |
| 7 | 2022 | 27 | |
| 8 | 2021 | 25 | |
| 9 | 2022 | 21 | |
| 10 | 2019 | 20 | |
| 11 | 2020 | 20 | |
| 12 | 2021 | 19 | |
| 13 | 2019 | 18 | |
| 14 | 2021 | 17 | |
| 15 | 2023 | 15 | |
| 16 | 2020 | 14 | |
| 17 | 2021 | 13 | |
| 18 | 2019 | 13 | |
| 19 | 2018 | 12 | |
| 20 | 2021 | 12 |
About Shugeng Chen
Shugeng Chen is a scholar working on Cognitive Neuroscience, Rehabilitation, Cellular and Molecular Neuroscience, Biomedical Engineering and Electrical and Electronic Engineering, having authored 37 papers that have together received 564 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (23 papers), Stroke Rehabilitation and Recovery (11 papers), Neuroscience and Neural Engineering (9 papers), Muscle activation and electromyography studies (6 papers), Functional Brain Connectivity Studies (5 papers), Advanced Memory and Neural Computing (4 papers), Transcranial Magnetic Stimulation Studies (3 papers) and Gaze Tracking and Assistive Technology (3 papers). The work is most often cited by research in Rehabilitation (133 citations), Cognitive Neuroscience (329 citations), Human-Computer Interaction (69 citations), Neurology (67 citations) and Cellular and Molecular Neuroscience (122 citations). Shugeng Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jie Jia, Hewei Wang, Li Ding, Xiaokang Shu, Xiangyang Zhu, Lei Cao, Lin Yao, Ning Jiang, Xinjun Sheng and Dingguo Zhang. Their work appears in journals such as Frontiers in Neuroscience, Neural Plasticity, BMJ Open, Frontiers in Neurology and JMIR mhealth and uhealth.
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.