Yun Chen

164 total papers · 1.1k total citations
66 papers, 786 citations indexed

About

Yun Chen is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Yun Chen has authored 66 papers receiving a total of 786 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Signal Processing and 9 papers in Artificial Intelligence. Recurrent topics in Yun Chen's work include Biometric Identification and Security (5 papers), Occupational Health and Safety Research (5 papers) and Infrared Target Detection Methodologies (4 papers). Yun Chen is often cited by papers focused on Biometric Identification and Security (5 papers), Occupational Health and Safety Research (5 papers) and Infrared Target Detection Methodologies (4 papers). Yun Chen collaborates with scholars based in China, United States and Egypt. Yun Chen's co-authors include Kumar Sridharan, Todd R. Allen, Ben Kao, Zhiyong Wu, Hui Yang, Feixiang Chen, Lin Cai, Yufan Zhu, Ping Wu and Minhao Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Functional Materials and Scientific Reports.

In The Last Decade

Yun Chen

56 papers receiving 761 citations

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Author Peers

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

Author Last Decade Papers Cites
Yun Chen 239 147 128 91 90 66 786
Masdi Muhammad 78 0.3× 99 0.7× 91 0.7× 29 0.3× 196 2.2× 57 847
He Ren 82 0.3× 59 0.4× 103 0.8× 38 0.4× 74 0.8× 74 779
Dahai Liu 172 0.7× 32 0.2× 69 0.5× 134 1.5× 203 2.3× 57 651
Guofeng Su 65 0.3× 43 0.3× 76 0.6× 68 0.7× 68 0.8× 78 785
Yuquan Wang 138 0.6× 176 1.2× 32 0.3× 68 0.7× 77 0.9× 78 869
Jianjun Yi 75 0.3× 102 0.7× 110 0.9× 27 0.3× 101 1.1× 78 826
Yanming Li 53 0.2× 64 0.4× 28 0.2× 76 0.8× 203 2.3× 50 713
Xuedong Wang 105 0.4× 117 0.8× 37 0.3× 23 0.3× 23 0.3× 42 622
Yi Gao 100 0.4× 61 0.4× 64 0.5× 85 0.9× 159 1.8× 71 850
Shaohua Dong 80 0.3× 23 0.2× 47 0.4× 92 1.0× 282 3.1× 68 704

Countries citing papers authored by Yun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Chen

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