Kun Chen
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology
Papers in ⓘ
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- Gaze Tracking and Assistive Technology 10
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- EEG and Brain-Computer Interfaces 28
- Functional Brain Connectivity Studies 6
- Neural dynamics and brain function 5
- Co-authors
- Qingsong Ai (36 shared papers)Quan Liu (17 shared papers)Li Ma (19 shared papers)Anqi Chen (4 shared papers)Quan Liu (10 shared papers)Yanan Zhang (2 shared papers)Ze Ji (2 shared papers)Yi Xie (1 shared paper)
- Journals
- Journal of Neural Engineering (4 papers)Biomedical Signal Processing and Control (4 papers)Sensors (3 papers)Computers and Electronics in Agriculture (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)
- Partner nations
- ChinaUnited KingdomHong Kong
In The Last Decade
Kun Chen
54 papers receiving 543 citations
Peers
Comparison fields: 5 of 95
- Cognitive Neuroscience 364
- Human-Computer Interaction 67
- Signal Processing 78
- Experimental and Cognitive Psychology 79
- Cellular and Molecular Neuroscience 110
Countries citing papers authored by Kun Chen
This map shows the geographic impact of Kun 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 Kun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Chen more than expected).
Fields of papers citing papers by Kun Chen
This network shows the impact of papers produced by Kun 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 Kun Chen. The network helps show where Kun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 76 | |
| 2 | 2017 | 56 | |
| 3 | 2017 | 53 | |
| 4 | 2019 | 44 | |
| 5 | 2018 | 37 | |
| 6 | 2021 | 32 | |
| 7 | 2021 | 27 | |
| 8 | 2020 | 20 | |
| 9 | 2023 | 19 | |
| 10 | 2018 | 16 | |
| 11 | 2018 | 15 | |
| 12 | 2003 | 14 | |
| 13 | 2018 | 12 | |
| 14 | 2022 | 11 | |
| 15 | 2022 | 10 | |
| 16 | 2018 | 9 | |
| 17 | 2023 | 8 | |
| 18 | 2014 | 7 | |
| 19 | 2017 | 6 | |
| 20 | 2024 | 5 |
About Kun Chen
Kun Chen is a scholar working on Human-Computer Interaction, Cognitive Neuroscience, Experimental and Cognitive Psychology, Cellular and Molecular Neuroscience and Rehabilitation, having authored 60 papers that have together received 557 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (28 papers), Gaze Tracking and Assistive Technology (10 papers), Neuroscience and Neural Engineering (9 papers), Advanced Memory and Neural Computing (8 papers), Sleep and Work-Related Fatigue (6 papers), Functional Brain Connectivity Studies (6 papers), Muscle activation and electromyography studies (5 papers) and Neural dynamics and brain function (5 papers). The work is most often cited by research in Cognitive Neuroscience (364 citations), Human-Computer Interaction (67 citations), Signal Processing (78 citations), Experimental and Cognitive Psychology (79 citations) and Cellular and Molecular Neuroscience (110 citations). Kun Chen has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Qingsong Ai, Quan Liu, Li Ma, Anqi Chen, Quan Liu, Yanan Zhang, Ze Ji, Yi Xie, Aiming Liu and Guiyun Xu. Their work appears in journals such as Journal of Neural Engineering, Biomedical Signal Processing and Control, Sensors, Computers and Electronics in Agriculture and IEEE Transactions on Neural Networks and Learning Systems.
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.