Zongxin Yang

1.7k total citations · 1 hit paper
27 papers, 761 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 761 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 Ping Liu 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

24 papers receiving 746 citations

Hit Papers

Gated Channel Transformation for Visual Recognition 2020 2026 2022 2024 2020 50 100 150 200

Peers

Zongxin Yang
Comparison fields: 5 of 84
  • Computer Vision and Pattern Recognition 577
  • Artificial Intelligence 175
  • Media Technology 73
  • Aerospace Engineering 70
  • Biomedical Engineering 45
Replace Liu Li with:
Liu Li China
Pengfei Xu China
Gedas Bertasius United States
Cheng-Ze Lu China
Jiachen Li China
Kun Yuan China
Alexander Vezhnevets Switzerland
Yunhang Shen China
Zhibin Hong China
Xuansong Xie China
Liu Li China View profile →
Citations per field, relative to Zongxin Yang
Zongxin Yang · 1×
Citations per year, relative to Zongxin Yang
Zongxin Yang · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 1
5 1
6 0
7 22
8 15
9 67
10 3
11 30
12 8
13 5
14 8
15 16
16 32
17 123
18
Gated Channel Transformation for Visual Recognition breakdown →
235
19 5
20 18

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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