Yun Fu

56 papers and 2.6k indexed citations i.

About

Yun Fu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Yun Fu has authored 56 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Yun Fu’s work include Face recognition and analysis (20 papers), Face and Expression Recognition (19 papers) and Advanced Image and Video Retrieval Techniques (11 papers). Yun Fu is often cited by papers focused on Face recognition and analysis (20 papers), Face and Expression Recognition (19 papers) and Advanced Image and Video Retrieval Techniques (11 papers). Yun Fu collaborates with scholars based in United States, China and Singapore. Yun Fu's co-authors include Thomas S. Huang, Guodong Guo, Shuicheng Yan, T.S. Huang, Thomas S. Huang, Bin Cheng, Guowang Mu, Ming Shao, Liangliang Cao and Siyu Xia and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.

In The Last Decade

Co-authorship network of co-authors of Yun Fu i

Fields of papers citing papers by Yun Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yun Fu

Since Specialization
Citations

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