Cairong Zhao

154 total papers · 2.0k total citations
84 papers, 1.3k citations indexed

About

Cairong Zhao is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Cairong Zhao has authored 84 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Computer Vision and Pattern Recognition, 16 papers in Biomedical Engineering and 15 papers in Artificial Intelligence. Recurrent topics in Cairong Zhao's work include Video Surveillance and Tracking Methods (32 papers), Gait Recognition and Analysis (15 papers) and Advanced Image and Video Retrieval Techniques (14 papers). Cairong Zhao is often cited by papers focused on Video Surveillance and Tracking Methods (32 papers), Gait Recognition and Analysis (15 papers) and Advanced Image and Video Retrieval Techniques (14 papers). Cairong Zhao collaborates with scholars based in China, Hong Kong and United States. Cairong Zhao's co-authors include Duoqian Miao, Jun Wu, Chuancai Liu, Zhihui Lai, Wangmeng Zuo, Shuguang Dou, Zhihua Wei, Liang Wang, Guosheng Hu and Haonan Chen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Hazardous Materials and IEEE Transactions on Image Processing.

In The Last Decade

Cairong Zhao

73 papers receiving 1.3k citations

Hit Papers

ISTVT: Interpretable Spat... 2023 2026 2024 2023 25 50 75

Author Peers

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

Author Last Decade Papers Cites
Cairong Zhao 935 262 237 146 107 84 1.3k
Li Zhao 692 0.7× 347 1.3× 152 0.6× 289 2.0× 118 1.1× 99 1.5k
Xin Jin 1.4k 1.5× 406 1.5× 350 1.5× 143 1.0× 50 0.5× 70 1.8k
Ming Liang 802 0.9× 356 1.4× 89 0.4× 165 1.1× 195 1.8× 72 1.8k
Liyan Zhang 1.2k 1.3× 564 2.2× 216 0.9× 127 0.9× 113 1.1× 92 1.8k
Hao Gao 605 0.6× 497 1.9× 111 0.5× 154 1.1× 134 1.3× 113 1.3k
Jing Li 1.1k 1.2× 279 1.1× 81 0.3× 153 1.0× 99 0.9× 117 1.5k
Jun‐Hai Yong 779 0.8× 151 0.6× 94 0.4× 79 0.5× 46 0.4× 127 1.8k
Xiaojun Zhai 384 0.4× 206 0.8× 246 1.0× 215 1.5× 280 2.6× 133 1.6k
Naim Dahnoun 571 0.6× 191 0.7× 160 0.7× 106 0.7× 300 2.8× 77 1.4k
Kai Sun 617 0.7× 304 1.2× 98 0.4× 277 1.9× 184 1.7× 94 1.4k

Countries citing papers authored by Cairong Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Cairong Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cairong Zhao

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