Hung‐Khoon Tan

55 total papers · 965 total citations
35 papers, 656 citations indexed

About

Hung‐Khoon Tan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Hung‐Khoon Tan has authored 35 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 3 papers in Computer Networks and Communications. Recurrent topics in Hung‐Khoon Tan's work include Advanced Image and Video Retrieval Techniques (24 papers), Image Retrieval and Classification Techniques (13 papers) and Video Analysis and Summarization (11 papers). Hung‐Khoon Tan is often cited by papers focused on Advanced Image and Video Retrieval Techniques (24 papers), Image Retrieval and Classification Techniques (13 papers) and Video Analysis and Summarization (11 papers). Hung‐Khoon Tan collaborates with scholars based in Hong Kong, Malaysia and Singapore. Hung‐Khoon Tan's co-authors include Chong‐Wah Ngo, Xiao Wu, Tat‐Seng Chua, Wan‐Lei Zhao, Alexander G. Hauptmann, Richard S. Hong, Shuicheng Yan, Jinhui Tang, Richang Hong and Song Tan and has published in prestigious journals such as IEEE Access, Pattern Recognition and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Hung‐Khoon Tan

33 papers receiving 623 citations

Author Peers

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

Author Last Decade Papers Cites
Hung‐Khoon Tan 587 114 77 30 29 35 656
Zheng Lu 635 1.1× 103 0.9× 151 2.0× 31 1.0× 60 2.1× 36 767
WeiQi Yan 555 0.9× 100 0.9× 70 0.9× 11 0.4× 42 1.4× 60 632
Michele Merler 391 0.7× 196 1.7× 68 0.9× 8 0.3× 21 0.7× 35 592
Yuyin Sun 354 0.6× 352 3.1× 45 0.6× 10 0.3× 30 1.0× 25 647
Yue Li 568 1.0× 44 0.4× 221 2.9× 10 0.3× 57 2.0× 42 696
Stefan Schlechtweg 549 0.9× 87 0.8× 68 0.9× 13 0.4× 7 0.2× 25 735
Tiezheng Ge 641 1.1× 183 1.6× 84 1.1× 67 2.2× 71 2.4× 32 758
Xiuqing Wu 617 1.1× 205 1.8× 79 1.0× 11 0.4× 73 2.5× 53 692
Jameel Ahmed 456 0.8× 151 1.3× 18 0.2× 7 0.2× 53 1.8× 40 630
Jinpeng Wang 448 0.8× 495 4.3× 31 0.4× 13 0.4× 13 0.4× 58 790

Countries citing papers authored by Hung‐Khoon Tan

Since Specialization
Citations

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

Fields of papers citing papers by Hung‐Khoon Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hung‐Khoon 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 Hung‐Khoon Tan. The network helps show where Hung‐Khoon Tan may publish in the future.

Co-authorship network of co-authors of Hung‐Khoon Tan

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