Min‐Ying Su
Impact in
-
- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Health Informatics top 1%
Papers in
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- MRI in cancer diagnosis 96
- Radiomics and Machine Learning in Medical Imaging 62
- Advanced MRI Techniques and Applications 40
- Medical Imaging Techniques and Applications 31
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- Digital Radiography and Breast Imaging 32
- Co-authors
- Orhan Nalcioğlu (55 shared papers)Jeon‐Hor Chen (72 shared papers)Hon J. Yu (30 shared papers)Shadfar Bahri (14 shared papers)Ke Nie (24 shared papers)Rita S. Mehta (29 shared papers)Hartmuth C. Kolb (3 shared papers)William R. Shankle (3 shared papers)
- Journals
- Journal of Magnetic Resonance Imaging (16 papers)Medical Physics (15 papers)Magnetic Resonance Imaging (11 papers)Academic Radiology (9 papers)Radiology (6 papers)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Min‐Ying Su
220 papers receiving 7.2k citations
Min‐Ying Su's Hit Papers
Peers
Comparison fields: 5 of 167
- Radiology, Nuclear Medicine and Imaging 4.4k
- Health Informatics 135
- Neurology 583
- Cancer Research 892
- Pathology and Forensic Medicine 725
Countries citing papers authored by Min‐Ying Su
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).
Fields of papers citing papers by Min‐Ying Su
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.
Co-authors
The 25 scholars most cited alongside Min‐Ying Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 235 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Early Clinical PET Imaging Results with the Novel PHF-Tau Radioligand [F18]-T808 Hit paper breakdown → | 2013 | 531 |
| 2 | Early Clinical PET Imaging Results with the Novel PHF-Tau Radioligand [F-18]-T807 Hit paper breakdown → | 2013 | 497 |
| 3 | Deep-Learning Convolutional Neural Networks Accurately Classify Genetic Mutations in Gliomas Hit paper breakdown → | 2018 | 325 |
| 4 | 2018 | 193 | |
| 5 | 2008 | 191 | |
| 6 | 2019 | 169 | |
| 7 | 2007 | 143 | |
| 8 | 2008 | 137 | |
| 9 | 2003 | 126 | |
| 10 | 1994 | 120 | |
| 11 | 2004 | 117 | |
| 12 | 2009 | 117 | |
| 13 | 1998 | 117 | |
| 14 | 2010 | 110 | |
| 15 | 2009 | 108 | |
| 16 | 1998 | 103 | |
| 17 | 2020 | 102 | |
| 18 | 2017 | 100 | |
| 19 | 2003 | 98 | |
| 20 | 2009 | 90 |
About Min‐Ying Su
Min‐Ying Su is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Artificial Intelligence, Pathology and Forensic Medicine and Cancer Research, having authored 235 papers that have together received 7.4k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (96 papers), Radiomics and Machine Learning in Medical Imaging (62 papers), Advanced MRI Techniques and Applications (40 papers), Digital Radiography and Breast Imaging (32 papers), AI in cancer detection (31 papers), Medical Imaging Techniques and Applications (31 papers), Breast Cancer Treatment Studies (21 papers) and Breast Lesions and Carcinomas (20 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (4.4k citations), Health Informatics (135 citations), Neurology (583 citations), Cancer Research (892 citations) and Pathology and Forensic Medicine (725 citations). Min‐Ying Su has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Orhan Nalcioğlu, Jeon‐Hor Chen, Hon J. Yu, Shadfar Bahri, Ke Nie, Rita S. Mehta, Hartmuth C. Kolb, William R. Shankle, Arkadij M. Elizarov and David Chien. Their work appears in journals such as Journal of Magnetic Resonance Imaging, Medical Physics, Magnetic Resonance Imaging, Academic Radiology and Radiology.
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.