Yuchen Yan

56 total papers · 526 total citations
24 papers, 345 citations indexed

About

Yuchen Yan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Yuchen Yan has authored 24 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Yuchen Yan's work include Advanced Graph Neural Networks (8 papers), Topic Modeling (5 papers) and Complex Network Analysis Techniques (5 papers). Yuchen Yan is often cited by papers focused on Advanced Graph Neural Networks (8 papers), Topic Modeling (5 papers) and Complex Network Analysis Techniques (5 papers). Yuchen Yan collaborates with scholars based in China, United States and Taiwan. Yuchen Yan's co-authors include Hanghang Tong, Margaret E. Daube-Witherspoon, Richard E. Carson, Si Zhang, Calvin A. Johnson, Ruijie Wang, Xinbing Wang, Yuting Jia, Weinan Zhang and Jialu Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Expert Systems with Applications.

In The Last Decade

Yuchen Yan

20 papers receiving 333 citations

Author Peers

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

Author Last Decade Papers Cites
Yuchen Yan 168 122 59 57 57 24 345
Yuanyuan Bao 96 0.6× 104 0.9× 71 1.2× 18 0.3× 56 1.0× 36 325
Yanxia Liu 171 1.0× 72 0.6× 17 0.3× 14 0.2× 27 0.5× 21 309
Kaifa Zhao 155 0.9× 85 0.7× 8 0.1× 24 0.4× 30 0.5× 19 382
Wenbin Hu 153 0.9× 9 0.1× 82 1.4× 22 0.4× 20 0.4× 30 312
Quan Gan 214 1.3× 10 0.1× 39 0.7× 52 0.9× 12 0.2× 25 399
Junwei Yang 132 0.8× 46 0.4× 12 0.2× 3 0.1× 23 0.4× 35 376
Sicheng Wang 140 0.8× 25 0.2× 32 0.5× 8 0.1× 20 0.4× 38 325
Thomas Uram 44 0.3× 15 0.1× 16 0.3× 9 0.2× 17 0.3× 37 312
Paul Liu 36 0.2× 94 0.8× 24 0.4× 170 3.0× 49 0.9× 25 328
Steven B. Gillispie 49 0.3× 181 1.5× 5 0.1× 98 1.7× 64 1.1× 17 304

Countries citing papers authored by Yuchen Yan

Since Specialization
Citations

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

Fields of papers citing papers by Yuchen Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuchen Yan

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