Xueyan Mei

17 papers and 3.6k indexed citations i.

About

Xueyan Mei is a scholar working on Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Health Informatics. According to data from OpenAlex, Xueyan Mei has authored 17 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Infectious Diseases and 4 papers in Health Informatics. Recurrent topics in Xueyan Mei’s work include Radiomics and Machine Learning in Medical Imaging (5 papers), COVID-19 diagnosis using AI (5 papers) and Artificial Intelligence in Healthcare and Education (4 papers). Xueyan Mei is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), COVID-19 diagnosis using AI (5 papers) and Artificial Intelligence in Healthcare and Education (4 papers). Xueyan Mei collaborates with scholars based in United States, China and France. Xueyan Mei's co-authors include Mingqian Huang, Zahi A. Fayad, Adam Bernheim, Michael Chung, Adam Jacobi, Yang Yang, Shaolin Li, Hong Shan, Kunwei Li and Ning Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Radiology and American Journal of Roentgenology.

In The Last Decade

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

Fields of papers citing papers by Xueyan Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xueyan Mei

Since Specialization
Citations

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