Wei Chen

9.1k total citations · 1 hit paper
347 papers, 6.1k citations indexed

About

Wei Chen is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Wei Chen has authored 347 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 136 papers in Cognitive Neuroscience, 116 papers in Biomedical Engineering and 46 papers in Computer Vision and Pattern Recognition. Recurrent topics in Wei Chen's work include EEG and Brain-Computer Interfaces (111 papers), Non-Invasive Vital Sign Monitoring (53 papers) and Muscle activation and electromyography studies (37 papers). Wei Chen is often cited by papers focused on EEG and Brain-Computer Interfaces (111 papers), Non-Invasive Vital Sign Monitoring (53 papers) and Muscle activation and electromyography studies (37 papers). Wei Chen collaborates with scholars based in China, Netherlands and United States. Wei Chen's co-authors include Chen Chen, Xinyu Jiang, Chenyun Dai, Jiahao Fan, Ke Xu, Xiangyu Liu, Yao Guo, Chenglu Sun, Sidarto Bambang Oetomo and Annick Timmermans and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Wei Chen

320 papers receiving 5.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Aerosol and Surface Distribution of Severe Acute Respiratory Syndrome Coronavirus 2 in Hospital Wards, Wuhan, China, 2020

2020 778 citations Wei Chen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wei Chen China	38	1.9k	1.8k	720	653	626	347	6.1k
Metin Akay United States	38	1.2k 0.6×	2.1k 1.2×	761 1.1×	511 0.8×	1.1k 1.7×	220	5.4k
Fei Chen China	43	1.3k 0.7×	1.4k 0.8×	823 1.1×	423 0.6×	733 1.2×	504	7.4k
Aiping Liu China	41	1.8k 0.9×	674 0.4×	337 0.5×	658 1.0×	883 1.4×	256	4.9k
Bjoern M. Eskofier Germany	39	841 0.4×	2.9k 1.6×	315 0.4×	1.3k 1.9×	661 1.1×	416	7.9k
Ervin Sejdić United States	41	774 0.4×	1.1k 0.6×	1.2k 1.6×	693 1.1×	613 1.0×	253	6.6k
Sridhar Krishnan Canada	39	1.0k 0.5×	1.3k 0.7×	342 0.5×	779 1.2×	902 1.4×	342	5.4k
Leontios J. Hadjileontiadis Greece	43	2.0k 1.1×	678 0.4×	1.3k 1.8×	687 1.1×	757 1.2×	295	6.6k
Guanglin Li China	48	3.1k 1.7×	5.3k 2.9×	264 0.4×	402 0.6×	727 1.2×	462	9.4k
Shuji Hashimoto Japan	50	617 0.3×	1.3k 0.7×	428 0.6×	698 1.1×	639 1.0×	605	10.5k
Bart Jansen Belgium	38	2.5k 1.3×	757 0.4×	271 0.4×	538 0.8×	219 0.3×	206	5.9k

Countries citing papers authored by Wei Chen

Since Specialization

Citations

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

Fields of papers citing papers by Wei Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Chen. A scholar is included among the top collaborators of Wei 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 Wei Chen. Wei Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Liu, Wenqiu, Meng Chen, Wei Chen, et al.. (2025). Dynamic keystroke-password recognition based on piezoelectric-triboelectric coupling sensor array with crosstalk-free for authentication system. Nano Energy. 136. 110667–110667. 10 indexed citations

Jia, Zhenhong, et al.. (2025). RLCFE-Net: A reparameterization large convolutional kernel feature extraction network for weed detection in multiple scenarios. Expert Systems with Applications. 274. 126941–126941. 2 indexed citations

Mansoor, Majad, et al.. (2025). Feature fusion temporal convolution: Wind power forecasting with light hyperparameter optimization. Energy Reports. 13. 2468–2481. 6 indexed citations

Yang, Danni, et al.. (2025). Source Causal Connectivity Noninvasively Predicting Surgical Outcomes of Drug‐Refractory Epilepsy. CNS Neuroscience & Therapeutics. 31(1). e70196–e70196. 1 indexed citations

Wang, Laishuan, et al.. (2025). EEG electrode setup optimization using feature extraction techniques for neonatal sleep state classification. Frontiers in Computational Neuroscience. 19. 1506869–1506869. 1 indexed citations

Gao, Wenxia, Xueyan Yang, Zirui Liu, et al.. (2025). Spatial Cell Atlas of Lateral Septum Reveals Changes Underlying Anxiety and Fear Learning Deficits in Mice with Abnormal Immunity. International Journal of Biological Sciences. 21(14). 6389–6410.

Zhang, Biao, et al.. (2024). Path planning of PRM based on artificial potential field in radiation environments. Annals of Nuclear Energy. 208. 110776–110776. 12 indexed citations

Wang, Jiajia, et al.. (2024). A lightweight weed detection model with global contextual joint features. Engineering Applications of Artificial Intelligence. 136. 108903–108903. 15 indexed citations

Wu, Lizhen, et al.. (2024). Generalized load modeling approach considering multiple distributed generation integration. Electric Power Systems Research. 237. 111009–111009. 2 indexed citations

10.

Yuan, Wei, et al.. (2024). Active Claw-Shaped Dry Electrodes for EEG Measurement in Hair Areas. Bioengineering. 11(3). 276–276. 4 indexed citations

11.

Wang, Laishuan, et al.. (2024). Single-Channel EEG Data Analysis Using a Multi-Branch CNN for Neonatal Sleep Staging. IEEE Access. 12. 29910–29925. 12 indexed citations

12.

Zheng, Weihao, et al.. (2024). Causal Brain Network Predicts Surgical Outcomes in Patients With Drug-Resistant Epilepsy: A Retrospective Comparative Study. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 2719–2726. 1 indexed citations

13.

Shu, Feng, et al.. (2023). The Effect of Coupled Electroencephalography Signals in Electrooculography Signals on Sleep Staging Based on Deep Learning Methods. Bioengineering. 10(5). 573–573. 11 indexed citations

14.

Wu, Yonglin, Yao Guo, Feng Shu, et al.. (2023). Towards Real-Time Sleep Stage Prediction and Online Calibration Based on Architecturally Switchable Deep Learning Models. IEEE Journal of Biomedical and Health Informatics. 28(1). 470–481. 3 indexed citations

15.

Wang, Laishuan, et al.. (2023). MS-HNN: Multi-Scale Hierarchical Neural Network With Squeeze and Excitation Block for Neonatal Sleep Staging Using a Single-Channel EEG. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 2195–2204. 19 indexed citations

16.

Wang, Xiangyu, et al.. (2022). Can Wearable Devices and Machine Learning Techniques Be Used for Recognizing and Segmenting Modified Physical Performance Test Items?. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30. 1776–1785. 4 indexed citations

17.

Zhou, Wei, Hongyu Chen, Huan Yu, et al.. (2022). A Lightweight Segmented Attention Network for Sleep Staging by Fusing Local Characteristics and Adjacent Information. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 238–247. 20 indexed citations

18.

Fan, Jiahao, Xinyu Jiang, Xiangyu Liu, et al.. (2021). Cancelable HD-SEMG Biometric Identification via Deep Feature Learning. IEEE Journal of Biomedical and Health Informatics. 26(4). 1782–1793. 18 indexed citations

19.

Chen, Wei, et al.. (2020). Systematic Analysis for fNIRS Measurement Combining Sensitivity and SNR Based on the Colin27 Brain Template. IEEE photonics journal. 12(4). 1–13.

20.

Chen, Yuyang, Chenyun Dai, & Wei Chen. (2020). Cross-Comparison of EMG-to-Force Methods for Multi-DoF Finger Force Prediction Using One-DoF Training. IEEE Access. 8. 13958–13968. 32 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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