Xiaoyuan Yu

52 total papers · 732 total citations
35 papers, 469 citations indexed

About

Xiaoyuan Yu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Xiaoyuan Yu has authored 35 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 6 papers in Media Technology. Recurrent topics in Xiaoyuan Yu's work include Video Surveillance and Tracking Methods (7 papers), Advanced Image Processing Techniques (7 papers) and Image and Signal Denoising Methods (5 papers). Xiaoyuan Yu is often cited by papers focused on Video Surveillance and Tracking Methods (7 papers), Advanced Image Processing Techniques (7 papers) and Image and Signal Denoising Methods (5 papers). Xiaoyuan Yu collaborates with scholars based in China, Macao and United States. Xiaoyuan Yu's co-authors include Tianjiang Wang, Patrick A. Jansen, Roland Kays, Thomas Huang, Jiangping Wang, Wei Xie, Qi Tian, Wenfei Yang, Yongdong Zhang and Tianzhu Zhang and has published in prestigious journals such as Scientific Reports, Sensors and IEEE Transactions on Cybernetics.

In The Last Decade

Xiaoyuan Yu

29 papers receiving 459 citations

Author Peers

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

Author Last Decade Papers Cites
Xiaoyuan Yu 284 124 76 59 37 35 469
Augusto Salazar 226 0.8× 76 0.6× 95 1.3× 67 1.1× 23 0.6× 36 508
Xin Li 175 0.6× 104 0.8× 20 0.3× 31 0.5× 58 1.6× 33 407
Bratislav Predić 119 0.4× 83 0.7× 25 0.3× 18 0.3× 17 0.5× 45 544
Fábio A. Faria 184 0.6× 61 0.5× 66 0.9× 33 0.6× 27 0.7× 45 453
Eraldo Ribeiro 206 0.7× 55 0.4× 24 0.3× 10 0.2× 36 1.0× 48 423
Jie Xu 231 0.8× 79 0.6× 24 0.3× 15 0.3× 29 0.8× 53 430
Ayman Nabil 127 0.4× 210 1.7× 17 0.2× 10 0.2× 30 0.8× 26 532
Yifeng Ding 278 1.0× 181 1.5× 11 0.1× 17 0.3× 17 0.5× 28 513
Xiaonian Wang 146 0.5× 39 0.3× 44 0.6× 17 0.3× 31 0.8× 37 441
Emmanuel Okafor 108 0.4× 99 0.8× 41 0.5× 6 0.1× 49 1.3× 36 519

Countries citing papers authored by Xiaoyuan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyuan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyuan Yu

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