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
-
- EEG and Brain-Computer Interfaces 27
- Functional Brain Connectivity Studies 6
- Neural dynamics and brain function 5
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- Gaze Tracking and Assistive Technology 11
- Co-authors
- Qingsong Ai (38 shared papers)Quan Liu (17 shared papers)Li Ma (21 shared papers)Quan Liu (11 shared papers)Anqi Chen (4 shared papers)Ze Ji (2 shared papers)Yanan Zhang (2 shared papers)Aiming Liu (1 shared paper)
- Journals
- Journal of Neural Engineering (4 papers)Biomedical Signal Processing and Control (4 papers)Sensors (3 papers)Advanced Materials (1 paper)Translational Psychiatry (1 paper)
- Partner nations
- ChinaUnited KingdomHong Kong
In The Last Decade
Kun Chen
60 papers receiving 595 citations
Peers
Comparison fields: 5 of 96
- Cognitive Neuroscience 370
- Human-Computer Interaction 71
- Signal Processing 74
- Cellular and Molecular Neuroscience 109
- Experimental and Cognitive Psychology 80
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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 79 | |
| 2 | 2017 | 60 | |
| 3 | 2017 | 56 | |
| 4 | 2019 | 46 | |
| 5 | 2018 | 37 | |
| 6 | 2021 | 35 | |
| 7 | 2021 | 31 | |
| 8 | 2020 | 23 | |
| 9 | 2023 | 20 | |
| 10 | 2018 | 16 | |
| 11 | 2018 | 16 | |
| 12 | 2003 | 14 | |
| 13 | 2022 | 13 | |
| 14 | 2018 | 12 | |
| 15 | 2023 | 10 | |
| 16 | 2022 | 10 | |
| 17 | 2018 | 9 | |
| 18 | 2014 | 8 | |
| 19 | 2017 | 7 | |
| 20 | 2024 | 7 |
About Kun Chen
Kun Chen is a scholar working on Cognitive Neuroscience, Human-Computer Interaction, Biomedical Engineering, Experimental and Cognitive Psychology and Cellular and Molecular Neuroscience, having authored 64 papers that have together received 609 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (27 papers), Gaze Tracking and Assistive Technology (11 papers), Neuroscience and Neural Engineering (8 papers), Advanced Memory and Neural Computing (7 papers), Functional Brain Connectivity Studies (6 papers), Muscle activation and electromyography studies (6 papers), Neural dynamics and brain function (5 papers) and Emotion and Mood Recognition (5 papers). The work is most often cited by research in Cognitive Neuroscience (370 citations), Human-Computer Interaction (71 citations), Signal Processing (74 citations), Cellular and Molecular Neuroscience (109 citations) and Experimental and Cognitive Psychology (80 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, Quan Liu, Anqi Chen, Ze Ji, Yanan Zhang, Aiming Liu, Yi Xie and Weicong Lu. Their work appears in journals such as Journal of Neural Engineering, Biomedical Signal Processing and Control, Sensors, Advanced Materials and Translational Psychiatry.
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.