Mei Chen

26 papers and 690 indexed citations i.

About

Mei Chen is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Mei Chen has authored 26 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 6 papers in Media Technology and 5 papers in Artificial Intelligence. Recurrent topics in Mei Chen’s work include Image Retrieval and Classification Techniques (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Image Processing Techniques and Applications (4 papers). Mei Chen is often cited by papers focused on Image Retrieval and Classification Techniques (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Image Processing Techniques and Applications (4 papers). Mei Chen collaborates with scholars based in United States, China and Australia. Mei Chen's co-authors include Takeo Kanade, Bastian Leibe, Bernd Neumann, Phil G. Campbell, Eric D. Miller, Lee E. Weiss, Kang Li, Jie Yang, Wen Wu and Lei Yang and has published in prestigious journals such as BMC Bioinformatics, IEEE Access and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Mei Chen i

Fields of papers citing papers by Mei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mei Chen

Since Specialization
Citations

This map shows the geographic impact of Mei Chen'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 Mei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei Chen 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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2025