Zhongdao Wang

64 total papers · 3.2k total citations
14 papers, 1.1k citations indexed

About

Zhongdao Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Zhongdao Wang has authored 14 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Media Technology. Recurrent topics in Zhongdao Wang's work include Video Surveillance and Tracking Methods (7 papers), Face recognition and analysis (5 papers) and Human Pose and Action Recognition (4 papers). Zhongdao Wang is often cited by papers focused on Video Surveillance and Tracking Methods (7 papers), Face recognition and analysis (5 papers) and Human Pose and Action Recognition (4 papers). Zhongdao Wang collaborates with scholars based in China, Sweden and Australia. Zhongdao Wang's co-authors include Liang Zheng, Chi Zhang, Yifan Sun, Yichen Wei, Yuhan Zhang, Changmao Cheng, Shengjin Wang, Yali Li, Xihui Liu and Xiaogang Wang and has published in prestigious journals such as IEEE Signal Processing Letters, Tsinghua Science & Technology and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Zhongdao Wang

12 papers receiving 1.1k citations

Hit Papers

Circle Loss: A Unified Pe... 2020 2026 2022 2024 2020 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Zhongdao Wang 864 309 121 111 84 14 1.1k
Tian-Xing Xu 687 0.8× 336 1.1× 59 0.5× 198 1.8× 114 1.4× 12 1.5k
Jaume Amores 646 0.7× 291 0.9× 50 0.4× 82 0.7× 36 0.4× 23 990
J. Woodfill 1.1k 1.3× 178 0.6× 135 1.1× 171 1.5× 69 0.8× 34 1.5k
Jian Zhang 850 1.0× 363 1.2× 83 0.7× 123 1.1× 79 0.9× 44 1.2k
Xingyu Zeng 1.1k 1.3× 285 0.9× 45 0.4× 112 1.0× 36 0.4× 18 1.3k
Qi She 761 0.9× 444 1.4× 95 0.8× 117 1.1× 113 1.3× 33 1.3k
Doyen Sahoo 600 0.7× 419 1.4× 42 0.3× 102 0.9× 62 0.7× 21 1.3k
Qinghe Zheng 471 0.5× 416 1.3× 146 1.2× 104 0.9× 81 1.0× 39 1.3k
Steve Maybank 1.2k 1.3× 299 1.0× 115 1.0× 102 0.9× 96 1.1× 31 1.4k
Chun-Fu Richard Chen 774 0.9× 386 1.2× 69 0.6× 192 1.7× 111 1.3× 12 1.3k

Countries citing papers authored by Zhongdao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zhongdao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongdao Wang

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