Yun Fu

284 papers and 13.1k indexed citations i.

About

Yun Fu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Yun Fu has authored 284 papers receiving a total of 13.1k indexed citations (citations by other indexed papers that have themselves been cited), including 219 papers in Computer Vision and Pattern Recognition, 119 papers in Artificial Intelligence and 34 papers in Media Technology. Recurrent topics in Yun Fu’s work include Domain Adaptation and Few-Shot Learning (57 papers), Face and Expression Recognition (52 papers) and Human Pose and Action Recognition (51 papers). Yun Fu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (57 papers), Face and Expression Recognition (52 papers) and Human Pose and Action Recognition (51 papers). Yun Fu collaborates with scholars based in United States, Mexico and China. Yun Fu's co-authors include Yulun Zhang, Yu Kong, Yapeng Tian, Zhengming Ding, Bineng Zhong, Ming Shao, Sheng Li, Kai Li, Kunpeng Li and Handong Zhao and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Hydrology.

In The Last Decade

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

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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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