Hehe Fan

38 papers and 1.0k indexed citations i.

About

Hehe Fan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Hehe Fan has authored 38 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 6 papers in Computational Mechanics. Recurrent topics in Hehe Fan’s work include Human Pose and Action Recognition (18 papers), Multimodal Machine Learning Applications (11 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Hehe Fan is often cited by papers focused on Human Pose and Action Recognition (18 papers), Multimodal Machine Learning Applications (11 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Hehe Fan collaborates with scholars based in China, Australia and Singapore. Hehe Fan's co-authors include Yi Yang, Chenggang Yan, Liang Zheng, Mohan Kankanhalli, Linchao Zhu, Mingliang Xu, Yawei Luo, Xin Yu, Yuhang Ding and Fei Wu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Hehe Fan i

Fields of papers citing papers by Hehe Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hehe Fan

Since Specialization
Citations

This map shows the geographic impact of Hehe 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 Hehe Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hehe 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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2025