Pengpai Wang

602 total citations
18 papers, 379 citations indexed

About

Pengpai Wang is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Pengpai Wang has authored 18 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Pengpai Wang's work include EEG and Brain-Computer Interfaces (16 papers), Gaze Tracking and Assistive Technology (5 papers) and Neuroscience and Neural Engineering (5 papers). Pengpai Wang is often cited by papers focused on EEG and Brain-Computer Interfaces (16 papers), Gaze Tracking and Assistive Technology (5 papers) and Neuroscience and Neural Engineering (5 papers). Pengpai Wang collaborates with scholars based in China, Hong Kong and Poland. Pengpai Wang's co-authors include Daoqiang Zhang, Yueying Zhou, Xia Wu, Shuo Huang, Tong Xu, Xun Sun, Sunil Kumar Jha, Xiaorui Zhang, Wei Sun and Xuyun Wen and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Neurocomputing and Frontiers in Neuroscience.

In The Last Decade

Pengpai Wang

14 papers receiving 347 citations

Peers

Pengpai Wang
Debashis Das Chakladar India
Stephen M. Gordon United States
Taha Beyrouthy Kuwait
Samer Al Kork Kuwait
Mengyuan Zhao China
Byung Hyung Kim South Korea
Che‐Jui Chang Taiwan
Chuangquan Chen China
Yaoru Sun China
Mehdi Hajinoroozi United States
Debashis Das Chakladar India
Pengpai Wang
Citations per year, relative to Pengpai Wang Pengpai Wang (= 1×) peers Debashis Das Chakladar

Countries citing papers authored by Pengpai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Pengpai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengpai Wang

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

All Works

18 of 18 papers shown
1.
Zhou, Yueying, et al.. (2025). TAHAG: Two-Stage Domain Adaptation With Hybrid Adaptive Graph Learning for EEG Emotion Recognition. IEEE Transactions on Affective Computing. 16(4). 2748–2761.
2.
3.
Zhou, Yueying, et al.. (2025). Cross-subject mental workload recognition using bi-classifier domain adversarial learning. Cognitive Neurodynamics. 19(1). 16–16.
4.
Wang, Pengpai, et al.. (2025). TCPL: task-conditioned prompt learning for few-shot cross-subject motor imagery EEG decoding. Frontiers in Neuroscience. 19. 1689286–1689286.
5.
Wang, Pengpai, et al.. (2024). TFAC-Net: A Temporal-Frequential Attentional Convolutional Network for Driver Drowsiness Recognition With Single-Channel EEG. IEEE Transactions on Intelligent Transportation Systems. 25(7). 7004–7016. 11 indexed citations
6.
Wang, Pengpai, et al.. (2023). A comprehensive review on motion trajectory reconstruction for EEG-based brain-computer interface. Frontiers in Neuroscience. 17. 1086472–1086472. 5 indexed citations
7.
Wang, Pengpai, et al.. (2023). Exploring Gender Differences in Motor Imagery EEG for Brain-Computer Interface Applications*. 15–16. 1 indexed citations
8.
Zhou, Yueying, et al.. (2023). A Temporal-Spectral Fused and Attention-Based Deep Model for Automatic Sleep Staging. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 1008–1018. 13 indexed citations
9.
Wang, Pengpai, et al.. (2023). MTRT: Motion Trajectory Reconstruction Transformer for EEG-Based BCI Decoding. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 2349–2358. 7 indexed citations
10.
Zhou, Yueying, et al.. (2023). Cross-Subject Cognitive Workload Recognition Based on EEG and Deep Domain Adaptation. IEEE Transactions on Instrumentation and Measurement. 72. 1–12. 20 indexed citations
11.
12.
Wang, Pengpai, et al.. (2023). A Spiking Neural Network With Adaptive Graph Convolution and LSTM for EEG-Based Brain-Computer Interfaces. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 1440–1450. 54 indexed citations
13.
Wang, Pengpai, et al.. (2022). Decoding the Continuous Motion Imagery Trajectories of Upper Limb Skeleton Points for EEG-Based Brain–Computer Interface. IEEE Transactions on Instrumentation and Measurement. 72. 1–12. 14 indexed citations
14.
Wang, Pengpai, et al.. (2022). Multiband decomposition and spectral discriminative analysis for motor imagery BCI via deep neural network. Frontiers of Computer Science. 16(5). 14 indexed citations
15.
Zhang, Xiaorui, Xun Sun, Wei Sun, et al.. (2021). Deformation Expression of Soft Tissue Based on BP Neural Network. Intelligent Automation & Soft Computing. 32(2). 1041–1053. 92 indexed citations
16.
Zhang, Jin, Yueying Zhou, Pengpai Wang, et al.. (2021). An Empirical Comparative Study on the Two Methods of Eliciting Singers’ Emotions in Singing: Self-Imagination and VR Training. Frontiers in Neuroscience. 15. 693468–693468. 5 indexed citations
17.
Zhou, Yueying, et al.. (2021). Cognitive Workload Recognition Using EEG Signals and Machine Learning: A Review. IEEE Transactions on Cognitive and Developmental Systems. 14(3). 799–818. 114 indexed citations
18.
Wang, Pengpai, et al.. (2021). Neural Decoding of Chinese Sign Language With Machine Learning for Brain–Computer Interfaces. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 29. 2721–2732. 9 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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2026