Xiaoqing Yu

343 total papers · 932 total citations
104 papers, 596 citations indexed

About

Xiaoqing Yu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Xiaoqing Yu has authored 104 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 23 papers in Signal Processing and 18 papers in Artificial Intelligence. Recurrent topics in Xiaoqing Yu's work include Speech and Audio Processing (17 papers), Music and Audio Processing (16 papers) and Computer Graphics and Visualization Techniques (6 papers). Xiaoqing Yu is often cited by papers focused on Speech and Audio Processing (17 papers), Music and Audio Processing (16 papers) and Computer Graphics and Visualization Techniques (6 papers). Xiaoqing Yu collaborates with scholars based in China, United States and Japan. Xiaoqing Yu's co-authors include Yiqi Yang, Bingnan Mu, Wanggen Wan, Chi Yuan, Lauren McBride, Xin Kang, Jie Hu, Miao Zhang, Yi Zhang and Jie Yang and has published in prestigious journals such as Immunity, The Science of The Total Environment and Oncogene.

In The Last Decade

Xiaoqing Yu

93 papers receiving 581 citations

Author Peers

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

Author Last Decade Papers Cites
Xiaoqing Yu 111 101 74 59 54 104 596
Yuanqiang Liu 89 0.8× 37 0.4× 28 0.4× 68 1.2× 36 0.7× 26 583
K R Venugopal 55 0.5× 44 0.4× 73 1.0× 136 2.3× 28 0.5× 71 635
Jing Zhou 46 0.4× 20 0.2× 45 0.6× 142 2.4× 13 0.2× 55 663
Huapeng Zhang 71 0.6× 42 0.4× 41 0.6× 155 2.6× 10 0.2× 66 680
Liu Liu 99 0.9× 195 1.9× 35 0.5× 37 0.6× 29 0.5× 51 600
Yanwei Zhao 15 0.1× 46 0.5× 82 1.1× 26 0.4× 25 0.5× 63 685
Jin Kim 76 0.7× 15 0.1× 25 0.3× 40 0.7× 83 1.5× 58 682
Jun-Jae Lee 77 0.7× 84 0.8× 29 0.4× 131 2.2× 13 0.2× 73 650
Zenan Zhou 42 0.4× 18 0.2× 13 0.2× 46 0.8× 44 0.8× 35 521
Ayush Sharma 49 0.4× 59 0.6× 10 0.1× 31 0.5× 33 0.6× 49 574

Countries citing papers authored by Xiaoqing Yu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoqing Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoqing Yu

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