Wanzhong Chen

2.3k total citations · 1 hit paper
83 papers, 1.7k citations indexed

About

Wanzhong Chen is a scholar working on Cognitive Neuroscience, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Wanzhong Chen has authored 83 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Cognitive Neuroscience, 36 papers in Signal Processing and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Wanzhong Chen's work include EEG and Brain-Computer Interfaces (52 papers), Blind Source Separation Techniques (36 papers) and ECG Monitoring and Analysis (12 papers). Wanzhong Chen is often cited by papers focused on EEG and Brain-Computer Interfaces (52 papers), Blind Source Separation Techniques (36 papers) and ECG Monitoring and Analysis (12 papers). Wanzhong Chen collaborates with scholars based in China, United Kingdom and Macao. Wanzhong Chen's co-authors include Mingyang Li, Tao Zhang, Tao Zhang, Tao Zhang, Tao Zhang, Yun Jiang, Yang You, Xiaoying Sun, Linlin Zhao and Yuan Yao and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Communications.

In The Last Decade

Wanzhong Chen

79 papers receiving 1.7k citations

Hit Papers

EEG emotion recognition using attention-based convolution... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wanzhong Chen China 22 1.3k 686 343 237 209 83 1.7k
Nadia Mammone Italy 28 1.8k 1.4× 573 0.8× 443 1.3× 343 1.4× 121 0.6× 86 2.6k
Mingyang Li China 19 976 0.8× 527 0.8× 277 0.8× 171 0.7× 85 0.4× 48 1.2k
N. Sriraam India 23 1.7k 1.3× 1.0k 1.5× 541 1.6× 423 1.8× 176 0.8× 139 2.6k
Mohammed Imamul Hassan Bhuiyan Bangladesh 22 1.5k 1.2× 759 1.1× 448 1.3× 185 0.8× 299 1.4× 77 2.2k
Ramaswamy Palaniappan United Kingdom 30 1.9k 1.5× 645 0.9× 386 1.1× 351 1.5× 196 0.9× 139 2.7k
César Teixeira Portugal 24 1.5k 1.1× 562 0.8× 312 0.9× 299 1.3× 92 0.4× 125 2.2k
Muhammad Tariq Sadiq China 28 1.2k 0.9× 358 0.5× 333 1.0× 445 1.9× 275 1.3× 67 2.3k
Abhijit Bhattacharyya India 16 995 0.8× 558 0.8× 438 1.3× 245 1.0× 66 0.3× 37 1.5k
Rajeev Sharma India 18 893 0.7× 587 0.9× 360 1.0× 197 0.8× 89 0.4× 67 1.7k
Gaoxiang Ouyang China 29 1.4k 1.1× 356 0.5× 177 0.5× 204 0.9× 118 0.6× 81 2.3k

Countries citing papers authored by Wanzhong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Wanzhong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanzhong Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Wanzhong Chen. A scholar is included among the top collaborators of Wanzhong 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 Wanzhong Chen. Wanzhong 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.
Huang, Junjie, Mingyang Li, & Wanzhong Chen. (2025). SAD-VER: A Self-supervised, Diffusion probabilistic model-based data augmentation framework for Visual-stimulus EEG Recognition. Advanced Engineering Informatics. 65. 103298–103298.
2.
Mou, Jun, et al.. (2025). Enriched dynamical behavior of a novel locally active memristor-driven neuron map. Chaos Solitons & Fractals. 198. 116537–116537. 3 indexed citations
3.
Mou, Jun, et al.. (2024). Dynamics and implementation of a functional neuron model with hyperchaotic behavior under electromagnetic radiation. Chaos Solitons & Fractals. 190. 115795–115795. 9 indexed citations
4.
Huang, Junjie, Wanzhong Chen, & Tao Zhang. (2024). A linear-attention-combined convolutional neural network for EEG-based visual stimulus recognition. Journal of Applied Biomedicine. 44(2). 369–379. 4 indexed citations
5.
Chen, Wanzhong, et al.. (2024). An Attention-Based Multi-Domain Bi-Hemisphere Discrepancy Feature Fusion Model for EEG Emotion Recognition. IEEE Journal of Biomedical and Health Informatics. 28(10). 5890–5903. 7 indexed citations
6.
Chen, Wanzhong, et al.. (2024). Emotion recognition using cross-modal attention from EEG and facial expression. Knowledge-Based Systems. 304. 112587–112587. 10 indexed citations
7.
Chen, Wanzhong, et al.. (2024). A multimodal emotion classification method considering micro-expression information and simulating human visual attention mechanism. Biomedical Signal Processing and Control. 100. 107036–107036. 1 indexed citations
9.
Liu, Chang, Wanzhong Chen, & Mingyang Li. (2024). A hybrid EEG classification model using layered cascade deep learning architecture. Medical & Biological Engineering & Computing. 62(7). 2213–2229. 3 indexed citations
11.
Chen, Wanzhong, et al.. (2023). The application of hybrid feature based on local mean decomposition for motor imagery electroencephalogram signal classification. Asian Journal of Control. 25(5). 3305–3317. 2 indexed citations
12.
Jiang, Yun, Wanzhong Chen, Mingyang Li, Tao Zhang, & You Yang. (2021). Synchroextracting chirplet transform-based epileptic seizures detection using EEG. Biomedical Signal Processing and Control. 68. 102699–102699. 22 indexed citations
13.
Jiang, Yun, et al.. (2020). Developing multi-component dictionary-based sparse representation for automatic detection of epileptic EEG spikes. Biomedical Signal Processing and Control. 60. 101966–101966. 7 indexed citations
14.
Jiang, Yun, Wanzhong Chen, & Mingyang Li. (2019). Symplectic geometry decomposition-based features for automatic epileptic seizure detection. Computers in Biology and Medicine. 116. 103549–103549. 51 indexed citations
15.
Li, Mingyang, Wanzhong Chen, & Tao Zhang. (2017). A novel seizure diagnostic model based on kernel density estimation and least squares support vector machine. Biomedical Signal Processing and Control. 41. 233–241. 16 indexed citations
16.
Liu, Junhong, et al.. (2016). Continuous Recognition of Multifunctional Finger and Wrist Movements in Amputee Subjects Based on sEMG and Accelerometry. The Open Biomedical Engineering Journal. 10(1). 101–110. 10 indexed citations
17.
Zhang, Tao, Wanzhong Chen, & Mingyang Li. (2016). Automatic seizure detection of electroencephalogram signals based on frequency slice wavelet transform and SVM. Acta Physica Sinica. 65(3). 38703–38703. 11 indexed citations
18.
Zhang, Tao, Wanzhong Chen, & Mingyang Li. (2015). Recognition of epilepsy electroencephalography based on AdaBoost algorithm. Acta Physica Sinica. 64(12). 128701–128701. 17 indexed citations
19.
Yao, Yuan, Wanzhong Chen, Xiaodong Chen, & Junsheng Yu. (2015). Analysis and Design of a Novel Multiband Antenna for Mobile Terminals. International Journal of Antennas and Propagation. 2015. 1–9. 6 indexed citations
20.
Li, Yang, Yantao Tian, & Wanzhong Chen. (2010). Multi-pattern recognition of sEMG based on improved BP neural network algorithm. Chinese Control Conference. 2867–2872. 8 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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