Kai-Tat Fung

20 papers and 296 indexed citations i.

About

Kai-Tat Fung is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Social Psychology. According to data from OpenAlex, Kai-Tat Fung has authored 20 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 11 papers in Signal Processing and 5 papers in Social Psychology. Recurrent topics in Kai-Tat Fung’s work include Video Coding and Compression Technologies (11 papers), Advanced Vision and Imaging (10 papers) and Advanced Data Compression Techniques (6 papers). Kai-Tat Fung is often cited by papers focused on Video Coding and Compression Technologies (11 papers), Advanced Vision and Imaging (10 papers) and Advanced Data Compression Techniques (6 papers). Kai-Tat Fung collaborates with scholars based in Hong Kong, Taiwan and Australia. Kai-Tat Fung's co-authors include C.K. Kwong, Wan-Chi Siu, Chak Yin Tang, Kin Wai Michael Siu, Yui‐Lam Chan, Chi Fai Cheung, Kai Yu, Kit Yan Chan, Tharam S. Dillon and Eric Wai Ming Lee and has published in prestigious journals such as Applied Physics Letters, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of Kai-Tat Fung i

Fields of papers citing papers by Kai-Tat Fung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai-Tat Fung. 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 Kai-Tat Fung. The network helps show where Kai-Tat Fung may publish in the future.

Countries citing papers authored by Kai-Tat Fung

Since Specialization
Citations

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

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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2025