Xiaohan Yuan

53 total papers · 662 total citations
31 papers, 471 citations indexed

About

Xiaohan Yuan is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiaohan Yuan has authored 31 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Artificial Intelligence and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiaohan Yuan's work include Imbalanced Data Classification Techniques (4 papers), Cancer therapeutics and mechanisms (4 papers) and Electricity Theft Detection Techniques (3 papers). Xiaohan Yuan is often cited by papers focused on Imbalanced Data Classification Techniques (4 papers), Cancer therapeutics and mechanisms (4 papers) and Electricity Theft Detection Techniques (3 papers). Xiaohan Yuan collaborates with scholars based in China, United States and Denmark. Xiaohan Yuan's co-authors include Shuai Wang, Bin Yu, Hong‐Min Liu, Wen Zhao, Saiqi Wang, Xiaobing Chen, Feng‐Zhi Suo, Chuan Sun, Hong‐Min Liu and Jin‐Ling Huo and has published in prestigious journals such as PLoS ONE, Scientific Reports and Food Chemistry.

In The Last Decade

Xiaohan Yuan

27 papers receiving 457 citations

Author Peers

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

Author Last Decade Papers Cites
Xiaohan Yuan 219 189 69 43 24 31 471
Huan Li 118 0.5× 272 1.4× 102 1.5× 28 0.7× 38 1.6× 33 540
Ji-Xia Ren 136 0.6× 231 1.2× 60 0.9× 14 0.3× 18 0.8× 21 448
Karina Machado 51 0.2× 199 1.1× 44 0.6× 26 0.6× 11 0.5× 60 448
Wenxuan Wang 73 0.3× 129 0.7× 23 0.3× 97 2.3× 5 0.2× 25 460
M. Rao 311 1.4× 190 1.0× 27 0.4× 35 0.8× 3 0.1× 51 531
Muhammad Hassan Raza 35 0.2× 200 1.1× 57 0.8× 14 0.3× 28 1.2× 43 512
Firoozeh Abolhasani Zadeh 38 0.2× 142 0.8× 81 1.2× 54 1.3× 12 0.5× 20 450
Nan Wang 151 0.7× 261 1.4× 61 0.9× 78 1.8× 40 1.7× 20 522
Guoqiang Hu 205 0.9× 226 1.2× 81 1.2× 15 0.3× 12 0.5× 53 502
Jun Wang 50 0.2× 268 1.4× 114 1.7× 10 0.2× 20 0.8× 29 544

Countries citing papers authored by Xiaohan Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohan Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohan Yuan

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