Jin Yuan

22 total papers · 590 total citations
10 papers, 361 citations indexed

About

Jin Yuan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Jin Yuan has authored 10 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Materials Chemistry. Recurrent topics in Jin Yuan's work include Domain Adaptation and Few-Shot Learning (4 papers), Multimodal Machine Learning Applications (4 papers) and Ultrasound and Cavitation Phenomena (2 papers). Jin Yuan is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Multimodal Machine Learning Applications (4 papers) and Ultrasound and Cavitation Phenomena (2 papers). Jin Yuan collaborates with scholars based in China and United States. Jin Yuan's co-authors include Zhongchao Shi, Jianping Fan, Yao Zhang, Zhiqiang He, Y.S. Zhang, Yixin Wang, Yuning Zhang, Xin Geng, Yong Rui and Shikai Chen and has published in prestigious journals such as Neurocomputing, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Multimedia.

In The Last Decade

Jin Yuan

8 papers receiving 359 citations

Hit Papers

A Survey of Visual Transf... 2023 2026 2024 2023 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Jin Yuan 155 114 49 41 32 10 361
Boxiong Yang 135 0.9× 51 0.4× 32 0.7× 30 0.7× 34 1.1× 19 305
Zhiguo Yu 126 0.8× 115 1.0× 28 0.6× 18 0.4× 41 1.3× 9 392
Haoying Fu 202 1.3× 69 0.6× 46 0.9× 29 0.7× 20 0.6× 16 362
Pengjie Tang 233 1.5× 86 0.8× 38 0.8× 18 0.4× 16 0.5× 20 394
Zhihang Fu 250 1.6× 155 1.4× 46 0.9× 18 0.4× 42 1.3× 15 401
Hyunjae Lee 139 0.9× 95 0.8× 28 0.6× 37 0.9× 23 0.7× 28 368
Mengqi Ji 171 1.1× 56 0.5× 59 1.2× 55 1.3× 15 0.5× 24 357
Zhichao Song 195 1.3× 166 1.5× 27 0.6× 51 1.2× 18 0.6× 19 403
Adnan Omer Abuassba 92 0.6× 85 0.7× 16 0.3× 20 0.5× 26 0.8× 13 346
Mohammadreza Iman 70 0.5× 101 0.9× 20 0.4× 26 0.6× 14 0.4× 5 336

Countries citing papers authored by Jin Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Jin Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Yuan

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