Ming Y. Lu

74 papers and 4.7k indexed citations i.

About

Ming Y. Lu is a scholar working on Artificial Intelligence, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ming Y. Lu has authored 74 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 19 papers in Molecular Biology and 17 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ming Y. Lu’s work include AI in cancer detection (19 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Artificial Intelligence in Healthcare and Education (6 papers). Ming Y. Lu is often cited by papers focused on AI in cancer detection (19 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Artificial Intelligence in Healthcare and Education (6 papers). Ming Y. Lu collaborates with scholars based in United States, China and Canada. Ming Y. Lu's co-authors include Faisal Mahmood, Drew F. K. Williamson, Richard J. Chen, Tiffany Chen, Matteo Barbieri, Anthony P. Adamis, Jana Lipková, Karen Keough, Maha Shady and Michael J. Tolentino and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Co-authorship network of co-authors of Ming Y. Lu i

Fields of papers citing papers by Ming Y. Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming Y. Lu

Since Specialization
Citations

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