Zongxin Yang

80 total papers · 1.7k total citations
27 papers, 739 citations indexed

About

Zongxin Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Zongxin Yang has authored 27 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Computational Mechanics. Recurrent topics in Zongxin Yang's work include Advanced Neural Network Applications (7 papers), Visual Attention and Saliency Detection (6 papers) and Video Surveillance and Tracking Methods (5 papers). Zongxin Yang is often cited by papers focused on Advanced Neural Network Applications (7 papers), Visual Attention and Saliency Detection (6 papers) and Video Surveillance and Tracking Methods (5 papers). Zongxin Yang collaborates with scholars based in China, Australia and United States. Zongxin Yang's co-authors include Yi Yang, Linchao Zhu, Yu Wu, Yunchao Wei, Yi Yang, Jiaxu Miao, Xin Yu, Yi Yang, Shuicheng Yan and Jian Dong 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 Circuits and Systems for Video Technology.

In The Last Decade

Zongxin Yang

23 papers receiving 725 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
Zongxin Yang 562 170 70 68 44 27 739
Adam Kortylewski 618 1.1× 264 1.6× 39 0.6× 52 0.8× 37 0.8× 32 846
Thangarajah Akilan 435 0.8× 206 1.2× 59 0.8× 73 1.1× 55 1.3× 51 822
Gang Zhang 381 0.7× 206 1.2× 62 0.9× 72 1.1× 30 0.7× 54 653
Kun Yuan 492 0.9× 221 1.3× 118 1.7× 41 0.6× 56 1.3× 32 717
Hao Shen 546 1.0× 174 1.0× 61 0.9× 73 1.1× 35 0.8× 44 843
Thanh-Toan Do 601 1.1× 245 1.4× 64 0.9× 161 2.4× 54 1.2× 51 883
Pengfei Xu 668 1.2× 361 2.1× 76 1.1× 64 0.9× 30 0.7× 53 889
Roman Suvorov 468 0.8× 103 0.6× 56 0.8× 44 0.6× 31 0.7× 17 658
Stamatios Georgoulis 492 0.9× 348 2.0× 60 0.9× 48 0.7× 49 1.1× 19 908
Ping Jia 468 0.8× 145 0.9× 99 1.4× 92 1.4× 29 0.7× 55 782

Countries citing papers authored by Zongxin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Zongxin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zongxin Yang

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