Robby T. Tan

101 total papers · 2.3k total citations
39 papers, 1.1k citations indexed

About

Robby T. Tan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Robby T. Tan has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 6 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Robby T. Tan's work include Image Enhancement Techniques (17 papers), Advanced Vision and Imaging (10 papers) and Video Surveillance and Tracking Methods (7 papers). Robby T. Tan is often cited by papers focused on Image Enhancement Techniques (17 papers), Advanced Vision and Imaging (10 papers) and Video Surveillance and Tracking Methods (7 papers). Robby T. Tan collaborates with scholars based in Singapore, China and Hong Kong. Robby T. Tan's co-authors include Wenhan Yang, Jiaying Liu, Shiqi Wang, Jiashi Feng, Shuicheng Yan, Zongming Guo, Aashish Sharma, Yuming Fang, Yeying Jin and Katsushi Ikeuchi and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Robby T. Tan

37 papers receiving 1.1k citations

Hit Papers

Joint Rain Detection and ... 2019 2026 2021 2023 2019 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Robby T. Tan 974 236 100 65 62 39 1.1k
Yihao Liu 924 0.9× 353 1.5× 81 0.8× 22 0.3× 54 0.9× 57 1.2k
Li-Wei Kang 1.1k 1.2× 411 1.7× 43 0.4× 64 1.0× 66 1.1× 31 1.3k
Feng Tang 761 0.8× 79 0.3× 139 1.4× 47 0.7× 19 0.3× 54 1.0k
Qingnan Fan 1.1k 1.1× 415 1.8× 53 0.5× 99 1.5× 76 1.2× 25 1.4k
Lei Zhu 679 0.7× 189 0.8× 151 1.5× 18 0.3× 33 0.5× 23 1000
Bo Li 429 0.4× 132 0.6× 83 0.8× 45 0.7× 29 0.5× 55 1.0k
Xuansong Xie 769 0.8× 85 0.4× 138 1.4× 74 1.1× 13 0.2× 50 930
G. Gordon 1.2k 1.3× 113 0.5× 105 1.1× 47 0.7× 32 0.5× 28 1.4k
Zhaoqi Wang 553 0.6× 108 0.5× 177 1.8× 58 0.9× 151 2.4× 72 911
Siu‐Yeung Cho 604 0.6× 128 0.5× 116 1.2× 32 0.5× 11 0.2× 57 920

Countries citing papers authored by Robby T. Tan

Since Specialization
Citations

This map shows the geographic impact of Robby T. Tan'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 Robby T. Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robby T. Tan more than expected).

Fields of papers citing papers by Robby T. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robby T. Tan. 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 Robby T. Tan. The network helps show where Robby T. Tan may publish in the future.

Co-authorship network of co-authors of Robby T. Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Robby T. Tan. A scholar is included among the top collaborators of Robby T. Tan 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 Robby T. Tan. Robby T. Tan 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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