Kun Chen

800 total citations
60 papers, 557 citations indexed

About

Kun Chen is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Experimental and Cognitive Psychology. According to data from OpenAlex, Kun Chen has authored 60 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cognitive Neuroscience, 12 papers in Biomedical Engineering and 11 papers in Experimental and Cognitive Psychology. Recurrent topics in Kun Chen's work include EEG and Brain-Computer Interfaces (28 papers), Gaze Tracking and Assistive Technology (10 papers) and Neuroscience and Neural Engineering (9 papers). Kun Chen is often cited by papers focused on EEG and Brain-Computer Interfaces (28 papers), Gaze Tracking and Assistive Technology (10 papers) and Neuroscience and Neural Engineering (9 papers). Kun Chen collaborates with scholars based in China, United Kingdom and Hong Kong. Kun Chen's co-authors include Qingsong Ai, Quan Liu, Li Ma, Quan Liu, Anqi Chen, Yanan Zhang, Ze Ji, Yi Xie, Aiming Liu and Weicong Lu and has published in prestigious journals such as Advanced Materials, Expert Systems with Applications and Sensors.

In The Last Decade

Kun Chen

54 papers receiving 543 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kun Chen China 13 364 114 110 79 78 60 557
Sheng Ge China 14 507 1.4× 88 0.8× 149 1.4× 81 1.0× 89 1.1× 69 645
Uri Maoz United States 14 479 1.3× 97 0.9× 109 1.0× 88 1.1× 60 0.8× 33 790
Yufeng Ke China 15 596 1.6× 61 0.5× 158 1.4× 138 1.7× 56 0.7× 61 747
Yaozhang Pan Singapore 9 354 1.0× 82 0.7× 88 0.8× 81 1.0× 64 0.8× 21 496
Thapanun Sudhawiyangkul Thailand 10 281 0.8× 87 0.8× 56 0.5× 49 0.6× 88 1.1× 24 485
Yunyuan Gao China 17 636 1.7× 155 1.4× 95 0.9× 180 2.3× 153 2.0× 59 898
Sheng-Hsiou Hsu United States 15 848 2.3× 127 1.1× 141 1.3× 91 1.2× 165 2.1× 22 1.0k
Jesús Minguillón Spain 10 373 1.0× 142 1.2× 122 1.1× 71 0.9× 61 0.8× 20 572
Chi-Yuan Chang United States 6 545 1.5× 76 0.7× 70 0.6× 64 0.8× 86 1.1× 17 675
Denis Delisle-Rodríguez Brazil 16 411 1.1× 274 2.4× 163 1.5× 50 0.6× 66 0.8× 68 712

Countries citing papers authored by Kun Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kun Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Chen. A scholar is included among the top collaborators of Kun Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kun Chen. Kun Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Kun, et al.. (2025). A novel deep learning model combining 3DCNN-CapsNet and hierarchical attention mechanism for EEG emotion recognition. Neural Networks. 186. 107267–107267. 2 indexed citations
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Ai, Qingsong, Chenhuan Wang, Kun Chen, & Li Ma. (2025). Multi-source domain separation adversarial domain adaptation for EEG emotion recognition. Biomedical Signal Processing and Control. 109. 108016–108016. 1 indexed citations
4.
Ai, Qingsong, et al.. (2025). Holographic convolutional attention neural network for motor imagery decoding based on EEG temporal–spatial frequency features. Biomedical Signal Processing and Control. 104. 107526–107526. 2 indexed citations
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Wei, Zhiwei, et al.. (2024). A method for segmentation and localization of tomato lateral pruning points in complex environments based on improved YOLOV5. Computers and Electronics in Agriculture. 229. 109731–109731. 2 indexed citations
8.
Meng, Wei, Li Ma, Kun Chen, et al.. (2024). MECAM: A Novel Multi-Axis EEG Channel Attention Model for Emotion Recognition. IEEE Transactions on Instrumentation and Measurement. 73. 1–13. 5 indexed citations
9.
Song, Zhiting, Jianhua Zhu, & Kun Chen. (2024). Robustness analysis of smart manufacturing systems against resource failures: A two-layered network perspective. Reliability Engineering & System Safety. 253. 110595–110595. 2 indexed citations
10.
Chen, Kun, et al.. (2023). A novel caps-EEGNet combined with channel selection for EEG-based emotion recognition. Biomedical Signal Processing and Control. 86. 105312–105312. 19 indexed citations
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12.
Liu, Haojie, Quan Liu, Kun Chen, et al.. (2023). Attention-based multi-semantic dynamical graph convolutional network for eeg-based fatigue detection. Frontiers in Neuroscience. 17. 1275065–1275065. 8 indexed citations
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Chen, Kun, et al.. (2022). EEG-based mental fatigue detection using linear prediction cepstral coefficients and Riemann spatial covariance matrix. Journal of Neural Engineering. 19(6). 66021–66021. 11 indexed citations
15.
Ai, Qingsong, et al.. (2022). Flexible coding scheme for robotic arm control driven by motor imagery decoding. Journal of Neural Engineering. 19(5). 56008–56008. 10 indexed citations
16.
Chen, Kun, et al.. (2021). Online detection of class-imbalanced error-related potentials evoked by motor imagery. Journal of Neural Engineering. 18(4). 46032–46032. 5 indexed citations
17.
Chen, Kun, et al.. (2021). Brain Connectivity Analysis in Anesthetized and Awake States: an ECoG Study in Monkeys. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 117–120. 3 indexed citations
18.
Ai, Qingsong, et al.. (2019). Feature extraction of four-class motor imagery EEG signals based on functional brain network. Journal of Neural Engineering. 16(2). 26032–26032. 76 indexed citations
19.
Chen, Anqi, et al.. (2017). A Brain Computer Interface Based on Motor Imagery for Maze Game. 7. 398–401. 2 indexed citations
20.
Chen, Kun, Quan Liu, Qingsong Ai, et al.. (2016). A MUSIC-based method for SSVEP signal processing. Australasian Physical & Engineering Sciences in Medicine. 39(1). 71–84. 5 indexed citations

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.

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Breakdown of academic impact, for papers by Sheng Ge Breakdown of academic impact, for papers by Uri Maoz Breakdown of academic impact, for papers by Yufeng Ke Breakdown of academic impact, for papers by Yaozhang Pan Breakdown of academic impact, for papers by Thapanun Sudhawiyangkul Breakdown of academic impact, for papers by Yunyuan Gao Breakdown of academic impact, for papers by Sheng-Hsiou Hsu Breakdown of academic impact, for papers by Jesús Minguillón Breakdown of academic impact, for papers by Chi-Yuan Chang Breakdown of academic impact, for papers by Denis Delisle-Rodríguez
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