Jun Xiao

143 papers and 3.9k indexed citations i.

About

Jun Xiao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Jun Xiao has authored 143 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Computer Vision and Pattern Recognition, 56 papers in Artificial Intelligence and 19 papers in Control and Systems Engineering. Recurrent topics in Jun Xiao’s work include Multimodal Machine Learning Applications (48 papers), Human Pose and Action Recognition (42 papers) and Domain Adaptation and Few-Shot Learning (33 papers). Jun Xiao is often cited by papers focused on Multimodal Machine Learning Applications (48 papers), Human Pose and Action Recognition (42 papers) and Domain Adaptation and Few-Shot Learning (33 papers). Jun Xiao collaborates with scholars based in China, United States and Singapore. Jun Xiao's co-authors include Long Chen, Hanwang Zhang, Jian Shao, Yueting Zhuang, Wei Liu, Tat‐Seng Chua, Liqiang Nie, Zhou Zhao, Dejing Xu and Shiliang Pu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Science of The Total Environment and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of Jun Xiao i

Fields of papers citing papers by Jun Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Xiao

Since Specialization
Citations

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