Ming Fan

117 total papers · 2.3k total citations
74 papers, 1.5k citations indexed

About

Ming Fan is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Ming Fan has authored 74 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Radiology, Nuclear Medicine and Imaging, 24 papers in Artificial Intelligence and 18 papers in Molecular Biology. Recurrent topics in Ming Fan’s work include Radiomics and Machine Learning in Medical Imaging (33 papers), MRI in cancer diagnosis (21 papers) and AI in cancer detection (19 papers). Ming Fan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (33 papers), MRI in cancer diagnosis (21 papers) and AI in cancer detection (19 papers). Ming Fan collaborates with scholars based in China, Saudi Arabia and United States. Ming Fan's co-authors include Lihua Li, Xin Gao, Juan Zhang, Yu Li, Cheng Hu, Ramzan Umarov, Peng Zhang, Shiwei Wang, Sheng Wang and Bin Zheng and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

Co-authorship network of co-authors of Ming Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Fan. A scholar is included among the top collaborators of Ming Fan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming Fan. Ming Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Ming Fan

68 papers receiving 1.5k citations

Fields of papers citing papers by Ming Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming Fan

Since Specialization
Citations

This map shows the geographic impact of Ming Fan'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 Ming Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Fan 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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2026