Quanfu Fan

26 papers and 1.6k indexed citations i.

About

Quanfu Fan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Quanfu Fan has authored 26 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Quanfu Fan’s work include Human Pose and Action Recognition (11 papers), Anomaly Detection Techniques and Applications (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Quanfu Fan is often cited by papers focused on Human Pose and Action Recognition (11 papers), Anomaly Detection Techniques and Applications (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Quanfu Fan collaborates with scholars based in United States, Hong Kong and Germany. Quanfu Fan's co-authors include Rameswar Panda, Chun-Fu Richard Chen, Lisa M. Brown, Aude Oliva, John Smith, Kandan Ramakrishnan, Alon Efrat, Mathew Monfort, Suresh Venkatasubramanian and Bolei Zhou 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 Quanfu Fan i

Fields of papers citing papers by Quanfu Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Quanfu Fan

Since Specialization
Citations

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