Jun Gao

About

Jun Gao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Food Science. According to data from OpenAlex, Jun Gao has authored 95 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 10 papers in Food Science. Recurrent topics in Jun Gao’s work include Food composition and properties (10 papers), Proteins in Food Systems (9 papers) and Advanced Vision and Imaging (8 papers). Jun Gao is often cited by papers focused on Food composition and properties (10 papers), Proteins in Food Systems (9 papers) and Advanced Vision and Imaging (8 papers). Jun Gao collaborates with scholars based in China, Canada and United States. Jun Gao's co-authors include Thava Vasanthan, Sanja Fidler, R. Hoover, Demetrios J. Kutsogiannis, Daniel Stollery, R. T. Noel Gibney, Huan Ling, Renuka Nilmini Waduge, Wenzheng Chen and Qing Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Langmuir and Bioresource Technology.

In The Last Decade

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

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Fields of papers citing papers by Jun Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Gao

Since Specialization

Citations

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