Min‐Ying Su

220 papers and 6.9k indexed citations i.

About

Min‐Ying Su is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Min‐Ying Su has authored 220 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 157 papers in Radiology, Nuclear Medicine and Imaging, 52 papers in Pulmonary and Respiratory Medicine and 31 papers in Artificial Intelligence. Recurrent topics in Min‐Ying Su’s work include MRI in cancer diagnosis (94 papers), Radiomics and Machine Learning in Medical Imaging (60 papers) and Advanced MRI Techniques and Applications (40 papers). Min‐Ying Su is often cited by papers focused on MRI in cancer diagnosis (94 papers), Radiomics and Machine Learning in Medical Imaging (60 papers) and Advanced MRI Techniques and Applications (40 papers). Min‐Ying Su collaborates with scholars based in United States, Taiwan and China. Min‐Ying Su's co-authors include Orhan Nalcioğlu, Jeon‐Hor Chen, Hon J. Yu, Shadfar Bahri, Ke Nie, Rita S. Mehta, Anna Katrin Szardenings, William R. Shankle, Fanrong Mu and David Chien and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Min‐Ying Su i

Fields of papers citing papers by Min‐Ying Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min‐Ying Su. 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 Min‐Ying Su. The network helps show where Min‐Ying Su may publish in the future.

Countries citing papers authored by Min‐Ying Su

Since Specialization
Citations

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