Xiaozhou Yang

65 total papers · 1.5k total citations
39 papers, 910 citations indexed

About

Xiaozhou Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Xiaozhou Yang has authored 39 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 9 papers in Information Systems. Recurrent topics in Xiaozhou Yang's work include Digital Image Processing Techniques (11 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Recommender Systems and Techniques (7 papers). Xiaozhou Yang is often cited by papers focused on Digital Image Processing Techniques (11 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Recommender Systems and Techniques (7 papers). Xiaozhou Yang collaborates with scholars based in China, Singapore and United States. Xiaozhou Yang's co-authors include Jianyong Wang, Liqiang Nie, Xuemeng Song, Jianlong Wu, Jiong-Sheng Li, Yinwei Wei, Qifan Wang, Wei Zhang, Tian Gan and Xiaohui Yu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Xiaozhou Yang

34 papers receiving 889 citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Xiaozhou Yang 608 295 275 105 76 39 910
Dafna Shahaf 554 0.9× 231 0.8× 211 0.8× 125 1.2× 52 0.7× 46 1.0k
Ximing Li 566 0.9× 148 0.5× 123 0.4× 44 0.4× 33 0.4× 81 709
Corinna Breitinger 509 0.8× 525 1.8× 124 0.5× 44 0.4× 74 1.0× 26 881
Xuan-Hieu Phan 659 1.1× 254 0.9× 74 0.3× 70 0.7× 34 0.4× 42 820
Jipeng Qiang 492 0.8× 126 0.4× 100 0.4× 52 0.5× 72 0.9× 63 716
Hasan Davulcu 461 0.8× 350 1.2× 138 0.5× 155 1.5× 72 0.9× 79 899
Baharum Baharudin 604 1.0× 306 1.0× 206 0.7× 24 0.2× 84 1.1× 43 1000
Paul Whitney 360 0.6× 151 0.5× 500 1.8× 95 0.9× 81 1.1× 32 833
Shi Feng 837 1.4× 271 0.9× 189 0.7× 35 0.3× 44 0.6× 80 1.1k
Daling Wang 701 1.2× 118 0.4× 192 0.7× 48 0.5× 40 0.5× 76 891

Countries citing papers authored by Xiaozhou Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaozhou Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaozhou Yang

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