Mei Chen

About

Mei Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Mei Chen has authored 18 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 3 papers in Computer Networks and Communications. Recurrent topics in Mei Chen’s work include Cell Image Analysis Techniques (3 papers), Image Retrieval and Classification Techniques (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Mei Chen is often cited by papers focused on Cell Image Analysis Techniques (3 papers), Image Retrieval and Classification Techniques (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Mei Chen collaborates with scholars based in China, United States and Australia. Mei Chen's co-authors include Takeo Kanade, Ryoma Bise, Seungil Huh, Kang Li, Dai Fei Elmer Ker, Lee E. Weiss, Phil G. Campbell, Eric D. Miller, Jing Zhang and Han Sun and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Neurocomputing and Knowledge-Based Systems.

In The Last Decade

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

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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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