Peiyang Li

3.2k total citations · 2 hit papers
75 papers, 2.3k citations indexed

About

Peiyang Li is a scholar working on Cognitive Neuroscience, Signal Processing and Cellular and Molecular Neuroscience. According to data from OpenAlex, Peiyang Li has authored 75 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Cognitive Neuroscience, 16 papers in Signal Processing and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Peiyang Li's work include EEG and Brain-Computer Interfaces (50 papers), Functional Brain Connectivity Studies (24 papers) and Neural dynamics and brain function (22 papers). Peiyang Li is often cited by papers focused on EEG and Brain-Computer Interfaces (50 papers), Functional Brain Connectivity Studies (24 papers) and Neural dynamics and brain function (22 papers). Peiyang Li collaborates with scholars based in China, Australia and United States. Peiyang Li's co-authors include Peng Xu, Fali Li, Dezhong Yao, Dezhong Yao, Rui Zhang, Yangsong Zhang, Jie Zhou, Cunbo Li, Yansong Tang and Jiwen Lu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Peiyang Li

70 papers receiving 2.3k 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.

Deep Progressive Reinforcement Learning for Skeleton-Based Action Recognition

2018 313 citations Peiyang Li et al. profile →
EEG Based Emotion Recognition by Combining Functional Connectivity Network and Local Activations

2019 304 citations Peiyang Li, Huan Liu et al. IEEE Transactions on Biomedical Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peiyang Li China	27	1.7k	423	359	356	347	75	2.3k
Yasue Mitsukura Japan	18	1.0k 0.6×	318 0.8×	273 0.8×	366 1.0×	132 0.4×	251	1.9k
Sheng‐Fu Liang Taiwan	27	1.9k 1.1×	389 0.9×	602 1.7×	547 1.5×	334 1.0×	106	3.2k
Nidal Kamel Malaysia	22	1.2k 0.7×	323 0.8×	196 0.5×	109 0.3×	206 0.6×	183	2.4k
Martin Bogdan Germany	27	1.9k 1.2×	127 0.3×	351 1.0×	785 2.2×	254 0.7×	103	2.6k
Bruno Arnaldi France	19	1.9k 1.2×	333 0.8×	250 0.7×	717 2.0×	250 0.7×	70	2.8k
Mohiuddin Ahmad Bangladesh	21	760 0.5×	513 1.2×	479 1.3×	85 0.2×	334 1.0×	169	1.9k
Ramaswamy Palaniappan United Kingdom	30	1.9k 1.1×	134 0.3×	232 0.6×	502 1.4×	351 1.0×	139	2.7k
Huy Phan United Kingdom	20	1.6k 0.9×	281 0.7×	364 1.0×	63 0.2×	272 0.8×	70	2.4k
Nadia Mammone Italy	28	1.8k 1.1×	191 0.5×	201 0.6×	235 0.7×	343 1.0×	86	2.6k
Pradeep Shenoy United States	21	1.5k 0.9×	135 0.3×	381 1.1×	630 1.8×	404 1.2×	39	2.3k

Countries citing papers authored by Peiyang Li

Since Specialization

Citations

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

Fields of papers citing papers by Peiyang Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peiyang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Peiyang Li. A scholar is included among the top collaborators of Peiyang Li 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 Peiyang Li. Peiyang Li 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

Lyu, Yinfeng, Yang Yang, Peiyang Li, et al.. (2025). The effects of antimicrobial peptide-chitosan nanoparticles on alleviating ulcerative colitis in Citrobacter rodentium infected mice. Food Bioscience. 68. 106575–106575. 3 indexed citations

Li, Cunbo, Lei Yang, Yueheng Peng, et al.. (2025). Emotion Recognition by Learning the Manifold of Fused Multiscale Information of EEG Signals. IEEE Transactions on Affective Computing. 16(3). 2172–2188. 3 indexed citations

Li, Cunbo, Zehong Cao, Peiyang Li, et al.. (2025). EEG-Based Emotion Monitoring and Regulation System by Learning the Discriminative Brain Network Manifold. IEEE Transactions on Neural Networks and Learning Systems. 36(10). 17751–17765.

Li, Peiyang, et al.. (2024). A novel residual-based Bayesian expectation–maximization adaptive Kalman filter with inaccurate and time-varying noise covariances. Measurement. 235. 114937–114937. 2 indexed citations

Yi, Chanlin, Jiamin Zhang, Wanjun Chen, et al.. (2024). Nonparametric Dynamic Granger Causality based on Multi-Space Spectrum Fusion for Time-varying Directed Brain Network Construction. IEEE Journal of Biomedical and Health Informatics. PP. 1–10. 1 indexed citations

Li, Cunbo, Tian Tang, Lei Yang, et al.. (2024). An Efficient Graph Learning System for Emotion Recognition Inspired by the Cognitive Prior Graph of EEG Brain Network. IEEE Transactions on Neural Networks and Learning Systems. 36(4). 7130–7144. 28 indexed citations

Li, Cunbo, Peiyang Li, Zhaojin Chen, et al.. (2024). Brain Network Manifold Learned by Cognition-Inspired Graph Embedding Model for Emotion Recognition. IEEE Transactions on Systems Man and Cybernetics Systems. 54(12). 7794–7808. 9 indexed citations

Li, Peiyang, Ruiting Lin, Hao Tang, et al.. (2024). Crucial rhythms and subnetworks for emotion processing extracted by an interpretable deep learning framework from EEG networks. Cerebral Cortex. 34(12). 1 indexed citations

Li, Fali, Shu Zhang, Lin Jiang, et al.. (2023). Recognition of autism spectrum disorder in children based on electroencephalogram network topology. Cognitive Neurodynamics. 18(3). 1033–1045. 5 indexed citations

10.

Si, Yajing, Lin Jiang, Chanlin Yi, et al.. (2023). The electrophysiology and structural difference between humans with distinct risky preference: a study based on EEG and MRI. Cerebral Cortex. 33(15). 9429–9437. 2 indexed citations

11.

Si, Yajing, Lin Jiang, Peiyang Li, et al.. (2023). Relationship Between Decision Making and Resting-State EEG in Adolescents With Different Emotional Stabilities. IEEE Transactions on Cognitive and Developmental Systems. 16(1). 243–250. 2 indexed citations

12.

Li, Cunbo, Peiyang Li, Yangsong Zhang, et al.. (2023). Effective Emotion Recognition by Learning Discriminative Graph Topologies in EEG Brain Networks. IEEE Transactions on Neural Networks and Learning Systems. 35(8). 10258–10272. 66 indexed citations

13.

Li, Peiyang, Cunbo Li, Yajing Si, et al.. (2022). L1-norm based time-varying brain neural network and its application to dynamic analysis for motor imagery. Journal of Neural Engineering. 19(2). 26019–26019. 11 indexed citations

14.

Yi, Chanlin, Wanjun Chen, Chunli Chen, et al.. (2022). Constructing Time-Varying Directed EEG Network by Multivariate Nonparametric Dynamical Granger Causality. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30. 1412–1421. 9 indexed citations

15.

Yi, Chanlin, Lin Jiang, Yajing Si, et al.. (2021). A Novel Method for Constructing EEG Large-Scale Cortical Dynamical Functional Network Connectivity (dFNC): WTCS. IEEE Transactions on Cybernetics. 52(12). 12869–12881. 31 indexed citations

16.

Li, Peiyang, Lin Jiang, Chunli Chen, et al.. (2021). A Long Short-Term Memory Network for Sparse Spatiotemporal EEG Source Imaging. IEEE Transactions on Medical Imaging. 40(12). 3787–3800. 35 indexed citations

17.

Du, Xiaoping, et al.. (2021). 单幅图像刚体目标姿态估计方法综述. Journal of Image and Graphics. 26(2). 334–354. 4 indexed citations

18.

Li, Peiyang, Huan Liu, Yajing Si, et al.. (2019). EEG Based Emotion Recognition by Combining Functional Connectivity Network and Local Activations. IEEE Transactions on Biomedical Engineering. 66(10). 2869–2881. 304 indexed citations breakdown →

19.

Ma, Teng, Fali Li, Peiyang Li, et al.. (2018). An Adaptive Calibration Framework for mVEP-Based Brain-Computer Interface. Computational and Mathematical Methods in Medicine. 2018. 1–14. 4 indexed citations

20.

Yi, Chanlin, Peiyang Li, Fali Li, et al.. (2018). Sparse EEG Source Localization Using LAPPS: Least Absolute l-P (0<p<1) Penalized Solution. IEEE Transactions on Biomedical Engineering. 66(7). 1927–1939. 26 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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