Yi Yuan

59 total papers · 1.5k total citations
33 papers, 878 citations indexed

About

Yi Yuan is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Control and Systems Engineering. According to data from OpenAlex, Yi Yuan has authored 33 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 11 papers in Computational Mechanics and 6 papers in Control and Systems Engineering. Recurrent topics in Yi Yuan's work include Generative Adversarial Networks and Image Synthesis (12 papers), Face recognition and analysis (11 papers) and 3D Shape Modeling and Analysis (11 papers). Yi Yuan is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (12 papers), Face recognition and analysis (11 papers) and 3D Shape Modeling and Analysis (11 papers). Yi Yuan collaborates with scholars based in China, United States and Japan. Yi Yuan's co-authors include Xiangyun Hu, Yong Liu, Mengmeng Wang, Kun Zhou, Zhengxia Zou, Tianjia Shao, Tianyang Shi, Lina Liu, Liang Liu and Xin Kong and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Yi Yuan

30 papers receiving 841 citations

Author Peers

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

Author Last Decade Papers Cites
Yi Yuan 567 187 186 150 135 33 878
Anshuman Razdan 355 0.6× 130 0.7× 147 0.8× 277 1.8× 130 1.0× 42 915
Michael Weinmann 424 0.7× 52 0.3× 137 0.7× 229 1.5× 259 1.9× 69 912
Yi Wei 548 1.0× 87 0.5× 181 1.0× 80 0.5× 95 0.7× 31 790
Richard Lepage 239 0.4× 140 0.7× 90 0.5× 160 1.1× 77 0.6× 54 815
Simon Stent 321 0.6× 218 1.2× 47 0.3× 72 0.5× 111 0.8× 29 812
Biao Zhang 345 0.6× 185 1.0× 257 1.4× 48 0.3× 52 0.4× 62 1.0k
Mingchao Sun 324 0.6× 87 0.5× 258 1.4× 142 0.9× 222 1.6× 24 741
Xian-Feng Han 528 0.9× 39 0.2× 307 1.7× 276 1.8× 322 2.4× 28 1.0k
Jamie Sherrah 622 1.1× 207 1.1× 75 0.4× 99 0.7× 29 0.2× 32 914
Kai Wang 606 1.1× 139 0.7× 109 0.6× 58 0.4× 40 0.3× 38 935

Countries citing papers authored by Yi Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Yi Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Yuan

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