Haodong Duan

74 total papers · 1.7k total citations
17 papers, 604 citations indexed

About

Haodong Duan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Haodong Duan has authored 17 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 3 papers in Biomedical Engineering. Recurrent topics in Haodong Duan's work include Human Pose and Action Recognition (7 papers), Multimodal Machine Learning Applications (4 papers) and Anomaly Detection Techniques and Applications (3 papers). Haodong Duan is often cited by papers focused on Human Pose and Action Recognition (7 papers), Multimodal Machine Learning Applications (4 papers) and Anomaly Detection Techniques and Applications (3 papers). Haodong Duan collaborates with scholars based in China, Hong Kong and United States. Haodong Duan's co-authors include Dahua Lin, Bo Dai, Kai Chen, Yue Zhao, Kai Chen, Jiaqi Wang, Jiaqi Wang, Bing Su, Anyi Rao and Jintao Lin and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Proceedings of the 30th ACM International Conference on Multimedia and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Haodong Duan

11 papers receiving 591 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
Haodong Duan 514 268 212 148 26 17 604
Weihan Chen 606 1.2× 348 1.3× 335 1.6× 159 1.1× 20 0.8× 12 673
Yuxin Chen 617 1.2× 355 1.3× 314 1.5× 154 1.0× 17 0.7× 18 692
Pau Climent-Pérez 463 0.9× 190 0.7× 161 0.8× 100 0.7× 23 0.9× 23 567
Lin Sun 508 1.0× 300 1.1× 175 0.8× 83 0.6× 10 0.4× 13 580
Enea Cippitelli 461 0.9× 117 0.4× 405 1.9× 92 0.6× 13 0.5× 16 687
Xiaohan Nie 471 0.9× 248 0.9× 245 1.2× 120 0.8× 10 0.4× 16 560
Boyuan Jiang 516 1.0× 356 1.3× 106 0.5× 47 0.3× 41 1.6× 20 656
Matías Mendieta 442 0.9× 222 0.8× 144 0.7× 128 0.9× 57 2.2× 13 697
Lulu Chen 433 0.8× 74 0.3× 92 0.4× 91 0.6× 37 1.4× 23 559
Congqi Cao 504 1.0× 266 1.0× 258 1.2× 292 2.0× 63 2.4× 26 675

Countries citing papers authored by Haodong Duan

Since Specialization
Citations

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

Fields of papers citing papers by Haodong Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haodong Duan

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