Weiqun Wang

1.2k total citations
67 papers, 826 citations indexed

About

Weiqun Wang is a scholar working on Biomedical Engineering, Rehabilitation and Cognitive Neuroscience. According to data from OpenAlex, Weiqun Wang has authored 67 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Biomedical Engineering, 34 papers in Rehabilitation and 29 papers in Cognitive Neuroscience. Recurrent topics in Weiqun Wang's work include Muscle activation and electromyography studies (36 papers), Stroke Rehabilitation and Recovery (34 papers) and EEG and Brain-Computer Interfaces (27 papers). Weiqun Wang is often cited by papers focused on Muscle activation and electromyography studies (36 papers), Stroke Rehabilitation and Recovery (34 papers) and EEG and Brain-Computer Interfaces (27 papers). Weiqun Wang collaborates with scholars based in China, Macao and New Zealand. Weiqun Wang's co-authors include Zeng‐Guang Hou, Liang Peng, Jiaxing Wang, Badong Chen, Xu Liang, Shiyuan Wang, Lina Tong, Yixiong Chen, Long Cheng and Wei Qin and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Industrial Informatics.

In The Last Decade

Weiqun Wang

65 papers receiving 812 citations

Peers

Weiqun Wang

REHAB

CVPR

Liang Peng China

Jianhua Wang China

Deepak Joshi India

Cristian Pasluosta Germany

Xiujuan Zheng China

S. Parasuraman Malaysia

Zhichuan Tang China

Zhongcai Pei China

Elsa Andrea Kirchner Germany

Jiankang Wu China

Liang Peng China

Weiqun Wang

559 ×1.3

331 ×1.3

REHAB

181 ×0.8

86 ×0.7

113 ×1.2

CVPR

Citations per year, relative to Weiqun Wang Weiqun Wang (= 1×) peers Liang Peng

Countries citing papers authored by Weiqun Wang

Since Specialization

Citations

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

Fields of papers citing papers by Weiqun Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiqun Wang

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

All Works

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20 of 20 papers shown

Wang, Jiaxing, et al.. (2025). CNN-Transformer Based Temporal-Spatial Fusion Network for EEG-fNIRS Hybrid Decoding. Procedia Computer Science. 271. 93–99.

Wang, Weiqun, et al.. (2024). A Multiposture Robot for Full Cycle Rehabilitation of Lower Limbs: Design and Autonomous Training. IEEE/ASME Transactions on Mechatronics. 29(6). 4087–4098. 2 indexed citations

Wang, Jiaxing, et al.. (2024). Toward a Fast and Robust MI-BCI: Online Adaptation of Stimulus Paradigm and Classification Model. IEEE Transactions on Instrumentation and Measurement. 73. 1–12. 9 indexed citations

Wang, Jiaxing, et al.. (2024). An Adaptive Hybrid Brain–Computer Interface for Hand Function Rehabilitation of Stroke Patients. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 2950–2960. 6 indexed citations

Wang, Weiqun, et al.. (2024). Online Adaptive Decoding for MI-BCI Based on Stimulation and Feature Optimization and Data Augmentation. IEEE Transactions on Instrumentation and Measurement. 73. 1–13. 2 indexed citations

Wang, Weiqun, et al.. (2024). Proprioception enhancement for robot assisted neural rehabilitation: a dynamic electrical stimulation based method and preliminary results from EEG analysis. Journal of Neural Engineering. 21(4). 46043–46043. 1 indexed citations

Liang, Xu, Weiqun Wang, Tingting Su, et al.. (2024). Adaptive Human–Robot Interaction Torque Estimation With High Accuracy and Strong Tracking Ability for a Lower Limb Rehabilitation Robot. IEEE/ASME Transactions on Mechatronics. 29(6). 4814–4825. 23 indexed citations

Wang, Yihan, et al.. (2024). TFTL: A Task-Free Transfer Learning Strategy for EEG-Based Cross-Subject and Cross-Dataset Motor Imagery BCI. IEEE Transactions on Biomedical Engineering. 72(2). 810–821. 6 indexed citations

Wang, Weiqun, et al.. (2022). Drivable Space of Rehabilitation Robot for Physical Human–Robot Interaction: Definition and an Expanding Method. IEEE Transactions on Robotics. 39(1). 343–356. 7 indexed citations

10.

Wang, Jiaxing, Lei Shi, Weiqun Wang, & Zeng‐Guang Hou. (2022). Efficient Brain Decoding Based on Adaptive EEG Channel Selection and Transformation. IEEE Transactions on Emerging Topics in Computational Intelligence. 6(6). 1314–1323. 12 indexed citations

11.

Wang, Jiaxing, Weiqun Wang, & Zeng‐Guang Hou. (2022). EEG-Based Focus of Attention Tracking and Regulation During Dual-Task Training for Neural Rehabilitation of Stroke Patients. IEEE Transactions on Biomedical Engineering. 70(3). 920–930. 7 indexed citations

12.

Liang, Xu, Guangping He, Tingting Su, et al.. (2021). Finite-Time Observer-Based Variable Impedance Control of Cable-Driven Continuum Manipulators. IEEE Transactions on Human-Machine Systems. 52(1). 26–40. 23 indexed citations

13.

Wang, Jiaxing, et al.. (2021). Neural Correlates of Single-Task Versus Cognitive-Motor Dual-Task Training. IEEE Transactions on Cognitive and Developmental Systems. 14(2). 532–540. 12 indexed citations

14.

Wang, Weiqun, Zeng‐Guang Hou, Badong Chen, et al.. (2020). Prediction of Human Voluntary Torques Based on Collaborative Neuromusculoskeletal Modeling and Adaptive Learning. IEEE Transactions on Industrial Electronics. 68(6). 5217–5226. 17 indexed citations

15.

Wang, Weiqun, et al.. (2020). Enhanced Motor Imagery Based Brain- Computer Interface via FES and VR for Lower Limbs. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28(8). 1846–1855. 61 indexed citations

16.

Chen, Badong, et al.. (2020). Mixture Correntropy-Based Kernel Extreme Learning Machines. IEEE Transactions on Neural Networks and Learning Systems. 33(2). 811–825. 49 indexed citations

17.

Chen, Badong, et al.. (2020). Broad Learning System Based on Maximum Correntropy Criterion. IEEE Transactions on Neural Networks and Learning Systems. 32(7). 3083–3097. 76 indexed citations

18.

Wang, Jiaxing, Weiqun Wang, & Zeng‐Guang Hou. (2019). Toward Improving Engagement in Neural Rehabilitation: Attention Enhancement Based on Brain–Computer Interface and Audiovisual Feedback. IEEE Transactions on Cognitive and Developmental Systems. 12(4). 787–796. 31 indexed citations

19.

Li, Jing, et al.. (2019). Cross-Level Parallel Network for Crowd Counting. IEEE Transactions on Industrial Informatics. 16(1). 566–576. 28 indexed citations

20.

Bian, Gui‐Bin, Zeng‐Guang Hou, Jun Zhao, et al.. (2018). Simultaneous Recognition and Assessment of Post-Stroke Hemiparetic Gait by Fusing Kinematic, Kinetic, and Electrophysiological Data. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 26(4). 856–864. 48 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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