Jun Guo

192 papers and 3.7k indexed citations i.

About

Jun Guo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Jun Guo has authored 192 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Artificial Intelligence, 88 papers in Computer Vision and Pattern Recognition and 32 papers in Signal Processing. Recurrent topics in Jun Guo’s work include Advanced Image and Video Retrieval Techniques (30 papers), Topic Modeling (20 papers) and Face and Expression Recognition (19 papers). Jun Guo is often cited by papers focused on Advanced Image and Video Retrieval Techniques (30 papers), Topic Modeling (20 papers) and Face and Expression Recognition (19 papers). Jun Guo collaborates with scholars based in China, United Kingdom and United States. Jun Guo's co-authors include Zhanyu Ma, Weihong Deng, Jiani Hu, Yi-Zhe Song, Jiyang Xie, Hui Zhou, Changren Zhu, Runsheng Wang, Dongliang Chang and Honggang Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Co-authorship network of co-authors of Jun Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Guo. A scholar is included among the top collaborators of Jun Guo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Guo. Jun Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Jun Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Guo

Since Specialization
Citations

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