Xiaojun Yang

79 total papers · 1.5k total citations
57 papers, 1.1k citations indexed

About

Xiaojun Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Xiaojun Yang has authored 57 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 15 papers in Media Technology. Recurrent topics in Xiaojun Yang's work include Face and Expression Recognition (18 papers), Remote-Sensing Image Classification (12 papers) and Advanced Clustering Algorithms Research (7 papers). Xiaojun Yang is often cited by papers focused on Face and Expression Recognition (18 papers), Remote-Sensing Image Classification (12 papers) and Advanced Clustering Algorithms Research (7 papers). Xiaojun Yang collaborates with scholars based in China, United States and Singapore. Xiaojun Yang's co-authors include Feiping Nie, Rong Wang, Jianxiang Xi, Weizhong Yu, Minli Yao, Le Wang, Jianfei Zheng, Feifei Gao, Richang Hong and Xiaojun Chang and has published in prestigious journals such as Angewandte Chemie International Edition, IEEE Transactions on Automatic Control and IEEE Transactions on Image Processing.

In The Last Decade

Xiaojun Yang

53 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Xiaojun Yang 492 285 200 185 121 57 1.1k
K.R. Ramakrishnan 825 1.7× 158 0.6× 132 0.7× 153 0.8× 46 0.4× 83 1.2k
Effrosyni Kokiopoulou 442 0.9× 263 0.9× 183 0.9× 101 0.5× 58 0.5× 33 962
Keshu Zhang 335 0.7× 512 1.8× 314 1.6× 140 0.8× 227 1.9× 43 1.0k
Huisheng Zhang 533 1.1× 566 2.0× 101 0.5× 32 0.2× 98 0.8× 81 1.4k
Chen Zhao 197 0.4× 219 0.8× 82 0.4× 68 0.4× 36 0.3× 119 1.0k
Hao Fang 378 0.8× 131 0.5× 484 2.4× 222 1.2× 68 0.6× 55 1.0k
Pedro M. Q. Aguiar 412 0.8× 415 1.5× 411 2.1× 58 0.3× 119 1.0× 70 1.4k
B.G. Mertzios 415 0.8× 203 0.7× 54 0.3× 96 0.5× 430 3.6× 135 1.3k
Don Hush 236 0.5× 573 2.0× 103 0.5× 59 0.3× 133 1.1× 44 964
Qiming Zhang 345 0.7× 491 1.7× 278 1.4× 205 1.1× 68 0.6× 64 1.4k

Countries citing papers authored by Xiaojun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojun Yang

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