Xun Chen

19.7k total citations · 9 hit papers
497 papers, 14.0k citations indexed

About

Xun Chen is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Signal Processing. According to data from OpenAlex, Xun Chen has authored 497 papers receiving a total of 14.0k indexed citations (citations by other indexed papers that have themselves been cited), including 151 papers in Cognitive Neuroscience, 136 papers in Biomedical Engineering and 78 papers in Signal Processing. Recurrent topics in Xun Chen's work include EEG and Brain-Computer Interfaces (121 papers), Blind Source Separation Techniques (58 papers) and Muscle activation and electromyography studies (58 papers). Xun Chen is often cited by papers focused on EEG and Brain-Computer Interfaces (121 papers), Blind Source Separation Techniques (58 papers) and Muscle activation and electromyography studies (58 papers). Xun Chen collaborates with scholars based in China, Canada and United States. Xun Chen's co-authors include Yü Liu, Z. Jane Wang, Juan Cheng, Hu Peng, Chang Li, Rabab Ward, Zengfu Wang, Aiping Liu, Rencheng Song and Xiang Chen and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Xun Chen

466 papers receiving 13.7k citations

Hit Papers

Multi-focus image fusion ... 1998 2026 2007 2016 2016 2016 1998 2017 2018 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Xun Chen 4.1k 3.9k 3.7k 3.3k 1.6k 497 14.0k
Rabab Ward 2.4k 0.6× 2.6k 0.7× 4.8k 1.3× 2.5k 0.8× 1.7k 1.1× 454 12.8k
Yü Liu 8.4k 2.0× 1.5k 0.4× 7.5k 2.0× 2.0k 0.6× 644 0.4× 508 16.7k
Chang Li 3.1k 0.8× 1.6k 0.4× 2.5k 0.7× 1.1k 0.4× 572 0.4× 153 6.8k
François Chollet 1.2k 0.3× 4.6k 1.2× 6.1k 1.6× 1.4k 0.4× 391 0.3× 128 22.0k
Konstantinos N. Plataniotis 2.0k 0.5× 1.3k 0.3× 7.6k 2.0× 1.5k 0.5× 594 0.4× 531 14.1k
Moncef Gabbouj 1.4k 0.3× 2.3k 0.6× 7.0k 1.9× 1.6k 0.5× 2.3k 1.5× 724 19.5k
Z. Jane Wang 1.9k 0.5× 1.7k 0.4× 2.9k 0.8× 1.3k 0.4× 577 0.4× 255 7.7k
Seong‐Whan Lee 640 0.2× 6.2k 1.6× 4.8k 1.3× 1.5k 0.5× 564 0.4× 508 14.3k
Matti Pietikäinen 4.3k 1.0× 999 0.3× 25.8k 6.9× 1.8k 0.5× 792 0.5× 149 33.5k
Guoying Zhao 865 0.2× 1.3k 0.3× 11.5k 3.1× 2.6k 0.8× 967 0.6× 355 18.2k

Countries citing papers authored by Xun Chen

Since Specialization
Citations

This map shows the geographic impact of Xun 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 Xun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xun Chen more than expected).

Fields of papers citing papers by Xun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xun 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 Xun Chen. The network helps show where Xun Chen may publish in the future.

Co-authorship network of co-authors of Xun Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Xun Chen. A scholar is included among the top collaborators of Xun 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 Xun Chen. Xun 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.
Wang, Kun, et al.. (2025). Active source-free domain adaptation for intracranial EEG classification via neighborhood uncertainty and diversity. Biomedical Signal Processing and Control. 104. 107464–107464. 1 indexed citations
2.
Yang, Gang, et al.. (2025). Multi-Contrast MRI Arbitrary-Scale Super-Resolution via Dynamic Implicit Network. IEEE Transactions on Circuits and Systems for Video Technology. 35(9). 8973–8988. 1 indexed citations
3.
Li, Chang, et al.. (2024). CTCNet: A CNN Transformer capsule network for sleep stage classification. Measurement. 226. 114157–114157. 11 indexed citations
4.
Xing, Tianwei, et al.. (2024). Learning to Compress Prompt in Natural Language Formats. 7756–7767. 1 indexed citations
5.
Liang, Yanchao, et al.. (2024). The immune cells causative role in lung cancer: Mendelian randomization study. Discover Oncology. 15(1). 731–731. 1 indexed citations
6.
Li, Chang, et al.. (2024). Test time adaptation for cross-domain sleep stage classification. Biomedical Signal Processing and Control. 100. 106980–106980.
7.
Li, Chang, et al.. (2024). Uncertainty-guided Fourier-based domain generalization for seizure prediction. Expert Systems with Applications. 268. 126286–126286. 1 indexed citations
8.
Liu, Yü, et al.. (2024). Multifocus Image Fusion With Complex Sparse Representation. IEEE Sensors Journal. 24(21). 34744–34755. 4 indexed citations
9.
Liu, Aiping, et al.. (2024). DDC-Net: Dual-Domain Cascaded Network With POCS Prior for Fast MRI Reconstruction. IEEE Sensors Journal. 24(7). 10944–10956. 5 indexed citations
10.
Shi, Yi, et al.. (2024). MIF: Multi-Shot Interactive Fusion Model for Cancer Survival Prediction Using Pathological Image and Genomic Data. IEEE Journal of Biomedical and Health Informatics. 29(5). 3247–3258. 2 indexed citations
11.
Li, Pengfei, et al.. (2024). RSMoDM: Multimodal Momentum Distillation Model for Remote Sensing Visual Question Answering. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 16799–16814. 3 indexed citations
12.
Zhang, Xu, et al.. (2023). Cross-user gesture recognition from sEMG signals using an optimal transport assisted student-teacher framework. Computers in Biology and Medicine. 165. 107327–107327. 9 indexed citations
13.
Wu, Le, et al.. (2023). Multi-source domain generalization and adaptation toward cross-subject myoelectric pattern recognition. Journal of Neural Engineering. 20(1). 16050–16050. 22 indexed citations
14.
Liu, Yü, Wenyu Zhu, Juan Cheng, & Xun Chen. (2023). Multi-modal MR image super-resolution with residual dense attention network. Journal of Image and Graphics. 28(1). 248–259.
15.
Zhang, Xu, et al.. (2023). Similarity Function for One-Shot Learning to Enhance the Flexibility of Myoelectric Interfaces. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 1697–1706. 6 indexed citations
16.
Chen, Xun, et al.. (2023). Fast Reroute Algorithms for Satellite Network With Segment Routing. IEEE Access. 11. 133509–133520. 2 indexed citations
17.
Sun, Bo, Zhaoyi Wang, Chen Chen, et al.. (2022). Automatic quantitative analysis of metabolism inactivation concentration in single bacterium using stimulated Raman scattering microscopy with deep learning image segmentation. Medicine in Novel Technology and Devices. 14. 100114–100114. 7 indexed citations
18.
Song, Rencheng, et al.. (2022). Learning-Based Inversion Method for Solving Electromagnetic Inverse Scattering With Mixed Boundary Conditions. IEEE Transactions on Antennas and Propagation. 70(8). 6218–6228. 12 indexed citations
19.
Jiang, Yanqun, et al.. (2020). High order semi-implicit weighted compact nonlinear scheme for the all-Mach isentropic Euler system. SHILAP Revista de lepidopterología. 2(1). 4 indexed citations
20.
Ma, Ying, et al.. (2016). Three-Dimensional Visualization of Myocardial Ischemia Based on the Standard Twelve-Lead Electrocardiogram. Computational and Mathematical Methods in Medicine. 2016. 1–8. 1 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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