Guo-Jun Qi

174 papers and 6.3k indexed citations i.

About

Guo-Jun Qi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Guo-Jun Qi has authored 174 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Computer Vision and Pattern Recognition, 64 papers in Artificial Intelligence and 29 papers in Electrical and Electronic Engineering. Recurrent topics in Guo-Jun Qi’s work include Advanced Image and Video Retrieval Techniques (59 papers), Domain Adaptation and Few-Shot Learning (32 papers) and Image Retrieval and Classification Techniques (29 papers). Guo-Jun Qi is often cited by papers focused on Advanced Image and Video Retrieval Techniques (59 papers), Domain Adaptation and Few-Shot Learning (32 papers) and Image Retrieval and Classification Techniques (29 papers). Guo-Jun Qi collaborates with scholars based in United States, China and Singapore. Guo-Jun Qi's co-authors include Jinhui Tang, Xian‐Sheng Hua, Jiebo Luo, Richang Hong, Zhong Chen, Xiangbo Shu, Thomas S. Huang, Zechao Li, Tao Mei and Hao Zhang and has published in prestigious journals such as Applied Physics Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence and Acta Materialia.

In The Last Decade

Co-authorship network of co-authors of Guo-Jun Qi i

Fields of papers citing papers by Guo-Jun Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Guo-Jun Qi

Since Specialization
Citations

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