Aaron Chan

13 total papers · 492 total citations
3 papers, 254 citations indexed

About

Aaron Chan is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Aaron Chan has authored 3 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Control and Systems Engineering, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Artificial Intelligence. Recurrent topics in Aaron Chan's work include Human Pose and Action Recognition (2 papers), Video Analysis and Summarization (1 paper) and Advanced Graph Neural Networks (1 paper). Aaron Chan is often cited by papers focused on Human Pose and Action Recognition (2 papers), Video Analysis and Summarization (1 paper) and Advanced Graph Neural Networks (1 paper). Aaron Chan collaborates with scholars based in United States, India and Canada. Aaron Chan's co-authors include Konstantinos G. Derpanis, Xiaowei Zhou, Georgios Pavlakos, Kostas Daniilidis, Gedas Bertasius, Jianbo Shi, Handong Zhao, Sungchul Kim, Nedim Lipka and Xiang Ren and has published in prestigious journals such as .

In The Last Decade

Aaron Chan

3 papers receiving 249 citations

Author Peers

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

Author Last Decade Papers Cites
Aaron Chan 179 154 117 34 28 3 254
Xinke Deng 203 1.1× 157 1.0× 179 1.5× 34 1.0× 28 1.0× 6 307
Lachlan Nicholson 190 1.1× 195 1.3× 69 0.6× 25 0.7× 55 2.0× 5 263
P. Wunsch 224 1.3× 108 0.7× 33 0.3× 28 0.8× 19 0.7× 6 284
Thang To 89 0.5× 64 0.4× 94 0.8× 20 0.6× 12 0.4× 3 136
Nate Koenig 144 0.8× 56 0.4× 88 0.8× 43 1.3× 20 0.7× 6 257
Chavdar Papazov 186 1.0× 113 0.7× 98 0.8× 33 1.0× 51 1.8× 8 296
Jan Issac 92 0.5× 57 0.4× 93 0.8× 27 0.8× 6 0.2× 4 150
Lucas Manuelli 106 0.6× 70 0.5× 138 1.2× 19 0.6× 10 0.4× 7 219
Rémi Pautrat 135 0.8× 102 0.7× 38 0.3× 20 0.6× 36 1.3× 10 189
Jiehong Lin 103 0.6× 55 0.4× 87 0.7× 65 1.9× 11 0.4× 7 193

Countries citing papers authored by Aaron Chan

Since Specialization
Citations

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

Fields of papers citing papers by Aaron Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aaron Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Aaron Chan. A scholar is included among the top collaborators of Aaron Chan 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 Aaron Chan. Aaron Chan 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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2026