Jun-Yan He

14 papers and 376 indexed citations i.

About

Jun-Yan He is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Jun-Yan He has authored 14 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 2 papers in Human-Computer Interaction. Recurrent topics in Jun-Yan He’s work include Anomaly Detection Techniques and Applications (4 papers), Video Surveillance and Tracking Methods (3 papers) and Human Pose and Action Recognition (3 papers). Jun-Yan He is often cited by papers focused on Anomaly Detection Techniques and Applications (4 papers), Video Surveillance and Tracking Methods (3 papers) and Human Pose and Action Recognition (3 papers). Jun-Yan He collaborates with scholars based in China, United States and Hong Kong. Jun-Yan He's co-authors include Xiao Wu, Qiang Peng, Yu–Gang Jiang, Zhi-Qi Cheng, Ramesh Jain, Bo Zhao, Qi Dai, Jun-Xiu Li, Alexander G. Hauptmann and Yuan Ping and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Jun-Yan He i

Fields of papers citing papers by Jun-Yan He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun-Yan He. 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 Jun-Yan He. The network helps show where Jun-Yan He may publish in the future.

Countries citing papers authored by Jun-Yan He

Since Specialization
Citations

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