Dan Zeng

232 total papers · 2.4k total citations
120 papers, 1.2k citations indexed

About

Dan Zeng is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Dan Zeng has authored 120 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 16 papers in Molecular Biology and 12 papers in Artificial Intelligence. Recurrent topics in Dan Zeng's work include Face recognition and analysis (11 papers), Face and Expression Recognition (9 papers) and Biometric Identification and Security (8 papers). Dan Zeng is often cited by papers focused on Face recognition and analysis (11 papers), Face and Expression Recognition (9 papers) and Biometric Identification and Security (8 papers). Dan Zeng collaborates with scholars based in China, United States and Netherlands. Dan Zeng's co-authors include Raymond Veldhuis, Luuk Spreeuwers, Qijun Zhao, Luobu Gesang, Feng Liu, Xiaoming Liu, Yan Xiao, Yongli Zhou, Jialing Lu and Fei Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Dan Zeng

103 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Dan Zeng 350 219 128 117 106 120 1.2k
Jianwei Lu 321 0.9× 349 1.6× 92 0.7× 54 0.5× 62 0.6× 49 1.5k
Scott A. King 222 0.6× 276 1.3× 206 1.6× 60 0.5× 77 0.7× 79 1.5k
⁄ Wood 84 0.2× 190 0.9× 102 0.8× 107 0.9× 45 0.4× 102 1.8k
Dadong Wang 334 1.0× 301 1.4× 70 0.5× 31 0.3× 93 0.9× 120 1.7k
Sun 91 0.3× 230 1.1× 86 0.7× 51 0.4× 62 0.6× 312 1.5k
Yixiong Chen 151 0.4× 379 1.7× 119 0.9× 47 0.4× 107 1.0× 61 1.7k
Ming Zhong 345 1.0× 151 0.7× 60 0.5× 195 1.7× 28 0.3× 44 1.6k
Paul Albert 253 0.7× 276 1.3× 60 0.5× 26 0.2× 71 0.7× 55 1.8k
H. Olkkonen 179 0.5× 76 0.3× 80 0.6× 143 1.2× 83 0.8× 95 1.2k
J. J. Miller 87 0.2× 557 2.5× 111 0.9× 83 0.7× 169 1.6× 87 1.7k

Countries citing papers authored by Dan Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Dan Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Zeng

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