Peiyang Li

3.2k citations
75 papers · 2.3k indexed · 2 hit papers · h-index 27
Topics
EEG and Brain-Computer Interfaces (50 papers)Functional Brain Connectivity Studies (24 papers)Neural dynamics and brain function (22 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONENeuroImage

In The Last Decade

Peiyang Li

70 papers receiving 2.3k citations

Hit Papers

Deep Progressive Reinforcement Learning for Skeleton-Base...201820262020202320182019100200300

Peers

Peiyang Li
Comparison fields: 5 of 117
  • Cognitive Neuroscience 1.7k
  • Computer Vision and Pattern Recognition 423
  • Biomedical Engineering 359
  • Cellular and Molecular Neuroscience 356
  • Artificial Intelligence 347
Replace Fali Li with:
Fali Li China
Tim Mullen United States
Jeng‐Ren Duann Taiwan
Pradeep Shenoy United States
Christian Kothe United States
Jean-Marc Vésin Switzerland
Martin Bogdan Germany
Yasuharu Koike Japan
Steven Lemm Germany
Sven Dähne Germany
Peiyang Li relative to Fali Li China Fali Li's profile →
Citations per field
00.5×5.5×
Fali Li · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 3
4 2
5 1
6 28
7 9
8 1
9 2
10 66
11 2
12 5
13 11
14 9
15 35
16 31
17
EEG Based Emotion Recognition by Combining Functional Connectivity Network and Local Activationsbreakdown →
304
18 4
19 26
20 56

About Peiyang Li

Peiyang Li is a scholar working on Cognitive Neuroscience, Signal Processing and General Decision Sciences, having authored 75 papers that have together received 2.3k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (50 papers), Functional Brain Connectivity Studies (24 papers) and Neural dynamics and brain function (22 papers). The work is most often cited by research in Cognitive Neuroscience (1.7k citations), Human-Computer Interaction (248 citations) and Experimental and Cognitive Psychology (332 citations). Peiyang Li has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Peng Xu, Fali Li, Dezhong Yao, Dezhong Yao, Rui Zhang, Yangsong Zhang, Yansong Tang, Jie Zhou, Cunbo Li and Jiwen Lu. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

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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