Yajun Fang

About

Yajun Fang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Yajun Fang has authored 16 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Yajun Fang’s work include Video Surveillance and Tracking Methods (5 papers), Human Pose and Action Recognition (5 papers) and Advanced Vision and Imaging (4 papers). Yajun Fang is often cited by papers focused on Video Surveillance and Tracking Methods (5 papers), Human Pose and Action Recognition (5 papers) and Advanced Vision and Imaging (4 papers). Yajun Fang collaborates with scholars based in United States, China and Japan. Yajun Fang's co-authors include Liangliang Wang, Ruifeng Li, Longfei Zhou, Zhang Li, Berthold K. P. Horn, Zhang Xiong, Shuo Zhang, Hao Sheng, Xiaochun Cao and Hongyan Cui and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Yajun Fang i

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Fields of papers citing papers by Yajun Fang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yajun Fang

Since Specialization

Citations

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