Hui Li Tan

44 total papers · 740 total citations
31 papers, 477 citations indexed

About

Hui Li Tan is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Hui Li Tan has authored 31 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 9 papers in Signal Processing and 7 papers in Artificial Intelligence. Recurrent topics in Hui Li Tan's work include Image and Video Quality Assessment (7 papers), Video Coding and Compression Technologies (6 papers) and Remote-Sensing Image Classification (4 papers). Hui Li Tan is often cited by papers focused on Image and Video Quality Assessment (7 papers), Video Coding and Compression Technologies (6 papers) and Remote-Sensing Image Classification (4 papers). Hui Li Tan collaborates with scholars based in Singapore, China and United States. Hui Li Tan's co-authors include Yih Han Tan, Chuohao Yeo, Hongyuan Zhu, Cheston Tan, Jiafei Duan, Susanto Rahardja, Zhengguo Li, Chi Chung Ko, Shijian Lu and Jiayuan Fan and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Image Processing and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Hui Li Tan

27 papers receiving 463 citations

Hit Papers

A Survey of Embodied AI: ... 2022 2026 2023 2024 2022 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Hui Li Tan 343 181 77 41 31 31 477
K. Sengupta 341 1.0× 121 0.7× 118 1.5× 24 0.6× 20 0.6× 33 495
Jesús Bescós 361 1.1× 96 0.5× 106 1.4× 41 1.0× 17 0.5× 52 491
Francesco Cricri 352 1.0× 120 0.7× 90 1.2× 19 0.5× 13 0.4× 41 450
Alexandre R. J. François 381 1.1× 82 0.5× 76 1.0× 24 0.6× 30 1.0× 29 451
Peiqi Chai 346 1.0× 55 0.3× 115 1.5× 29 0.7× 25 0.8× 17 509
Stefan Eickeler 414 1.2× 161 0.9× 121 1.6× 24 0.6× 18 0.6× 37 529
Ning Bi 252 0.7× 103 0.6× 59 0.8× 37 0.9× 36 1.2× 34 437
Achintya Das 219 0.6× 64 0.4× 62 0.8× 47 1.1× 27 0.9× 35 428
Chang Wen 215 0.6× 65 0.4× 67 0.9× 47 1.1× 16 0.5× 42 415
Yaxin Sun 253 0.7× 94 0.5× 79 1.0× 129 3.1× 12 0.4× 23 436

Countries citing papers authored by Hui Li Tan

Since Specialization
Citations

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

Fields of papers citing papers by Hui Li Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Li Tan

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