Hong Peng

262 total papers · 4.5k total citations
143 papers, 2.9k citations indexed

About

Hong Peng is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Hong Peng has authored 143 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Cognitive Neuroscience, 25 papers in Computer Vision and Pattern Recognition and 22 papers in Signal Processing. Recurrent topics in Hong Peng's work include EEG and Brain-Computer Interfaces (34 papers), Functional Brain Connectivity Studies (17 papers) and Blind Source Separation Techniques (17 papers). Hong Peng is often cited by papers focused on EEG and Brain-Computer Interfaces (34 papers), Functional Brain Connectivity Studies (17 papers) and Blind Source Separation Techniques (17 papers). Hong Peng collaborates with scholars based in China, United States and Japan. Hong Peng's co-authors include Catherine McBride‐Chang, Hua Shu, Bin Hu, Angela Yu‐Chen Lin, Hongyun Liu, Hong Li, Cheng‐Fang Lin, Qinglin Zhao, Aly A. Mohamed and Yahong Luo and has published in prestigious journals such as Nature Communications, The Astrophysical Journal and Journal of Hazardous Materials.

In The Last Decade

Hong Peng

131 papers receiving 2.8k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hong Peng 875 502 380 268 262 143 2.9k
Nigel Goddard 1.0k 1.2× 194 0.4× 819 2.2× 19 0.1× 243 0.9× 58 3.4k
Patrick Johnston 2.5k 2.9× 177 0.4× 62 0.2× 105 0.4× 348 1.3× 133 4.3k
Ibrahima Faye 606 0.7× 37 0.1× 544 1.4× 172 0.6× 436 1.7× 204 2.7k
Roberto Sassi 612 0.7× 359 0.7× 160 0.4× 15 0.1× 57 0.2× 159 3.9k
Michael W. Trosset 397 0.5× 146 0.3× 438 1.2× 321 1.2× 28 0.1× 73 3.0k
Eric Postma 557 0.6× 81 0.2× 893 2.4× 43 0.2× 125 0.5× 100 2.9k
Maarten Speekenbrink 603 0.7× 240 0.5× 479 1.3× 32 0.1× 26 0.1× 77 2.9k
Paul A. Thompson 934 1.1× 1.8k 3.5× 104 0.3× 12 0.0× 80 0.3× 108 4.5k
Denis Cousineau 2.1k 2.4× 487 1.0× 274 0.7× 11 0.0× 163 0.6× 142 4.9k
Archana Singh 808 0.9× 50 0.1× 408 1.1× 10 0.0× 637 2.4× 119 2.3k

Countries citing papers authored by Hong Peng

Since Specialization
Citations

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

Fields of papers citing papers by Hong Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Peng

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

All Works

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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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