Rong Yan

142 total papers · 2.6k total citations
79 papers, 1.8k citations indexed

About

Rong Yan is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Rong Yan has authored 79 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 17 papers in Molecular Biology and 15 papers in Artificial Intelligence. Recurrent topics in Rong Yan's work include Advanced Image and Video Retrieval Techniques (19 papers), Image Retrieval and Classification Techniques (17 papers) and Video Analysis and Summarization (9 papers). Rong Yan is often cited by papers focused on Advanced Image and Video Retrieval Techniques (19 papers), Image Retrieval and Classification Techniques (17 papers) and Video Analysis and Summarization (9 papers). Rong Yan collaborates with scholars based in China, United States and Switzerland. Rong Yan's co-authors include Alexander G. Hauptmann, Jelena Tešić, Jun Yang, John R. Smith, Apostol Natsev, Lexing Xie, Guangchao Geng, Quanyuan Jiang, Dean Eckles and Yanglin Li and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and Food Chemistry.

In The Last Decade

Rong Yan

70 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Rong Yan 656 397 220 177 173 79 1.8k
Zili Zhang 378 0.6× 862 2.2× 216 1.0× 163 0.9× 119 0.7× 118 2.0k
Jian Yu 397 0.6× 590 1.5× 274 1.2× 80 0.5× 103 0.6× 91 1.6k
Yu Zheng 368 0.6× 810 2.0× 99 0.5× 148 0.8× 188 1.1× 77 1.7k
Lin Mei 638 1.0× 590 1.5× 49 0.2× 197 1.1× 142 0.8× 70 1.7k
Jun Wang 698 1.1× 978 2.5× 204 0.9× 76 0.4× 369 2.1× 151 2.1k
Wei Zhang 534 0.8× 738 1.9× 212 1.0× 484 2.7× 80 0.5× 132 2.0k
Jaakko Peltonen 643 1.0× 692 1.7× 155 0.7× 70 0.4× 183 1.1× 89 1.5k
Patrick Gallinari 241 0.4× 726 1.8× 160 0.7× 97 0.5× 202 1.2× 86 1.3k
Kangshun Li 289 0.4× 753 1.9× 201 0.9× 174 1.0× 40 0.2× 128 1.8k
Ping Chen 200 0.3× 828 2.1× 194 0.9× 198 1.1× 151 0.9× 164 1.9k

Countries citing papers authored by Rong Yan

Since Specialization
Citations

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

Fields of papers citing papers by Rong Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rong Yan

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