Min‐Ying Su

10.2k citations
239 papers · 7.9k · 3 hit papers · h-index 47

Impact in

Papers in

    • MRI in cancer diagnosis 71
    • Radiomics and Machine Learning in Medical Imaging 35
    • Advanced MRI Techniques and Applications 31
    • Medical Imaging Techniques and Applications 16
    • Optical Imaging and Spectroscopy Techniques 15
    • Advanced Neuroimaging Techniques and Applications 13
    • Digital Radiography and Breast Imaging 27

Min‐Ying Su

226 papers receiving 7.6k citations

Min‐Ying Su's Hit Papers

Deep-Learning Convolutional Neural Networks Accurately Classify Genetic Mutations in Gliomas 2018 · 360 citations
3600+4+8Years since publication100200300400500

Peers

Min‐Ying Su
Comparison fields: 5 of 168
  • Radiology, Nuclear Medicine and Imaging 3.6k
  • Health Informatics 116
  • Neurology 537
  • Cancer Research 681
  • Psychiatry and Mental health 522
Replace Michael Fulham with:
Michael Fulham Australia
Isabella Castiglioni Italy
Kei Yamada Japan
Ronald Boellaard Netherlands
Randall A. Hawkins United States
Meng Law United States
Paul E. Kinahan United States
Garnette R. Sutherland Canada
Axel Rominger Switzerland
Roland Hustinx Belgium
Min‐Ying Su relative to Michael Fulham Australia Michael Fulham's profile →
Citations per field
00.5×1.7×
Michael Fulham · 1×
Citations per year

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).

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.

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.

Border = papers with Min‐Ying Su Line = papers co-authored together Min‐Ying Su links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 239 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 →
2013550
2
Early Clinical PET Imaging Results with the Novel PHF-Tau Radioligand [F-18]-T807
Hit paper breakdown →
2013523
3
Deep-Learning Convolutional Neural Networks Accurately Classify Genetic Mutations in Gliomas
Hit paper breakdown →
2018360
4 2018216
5 2008200
6 2019178
7 2007150
8 2008148
9 2003139
10 2004132
11 1998125
12 2009124
13 1994123
14 2010118
15 1998113
16 2009112
17 2017108
18 2020107
19 2003105
20 202095

About Min‐Ying Su

Min‐Ying Su is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Cancer Research, Biomedical Engineering and Pathology and Forensic Medicine, having authored 239 papers that have together received 7.9k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (71 papers), Radiomics and Machine Learning in Medical Imaging (35 papers), Advanced MRI Techniques and Applications (31 papers), Digital Radiography and Breast Imaging (27 papers), Medical Imaging Techniques and Applications (16 papers), Optical Imaging and Spectroscopy Techniques (15 papers), Breast Cancer Treatment Studies (15 papers) and Advanced Neuroimaging Techniques and Applications (13 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (3.6k citations), Health Informatics (116 citations), Neurology (537 citations), Cancer Research (681 citations) and Psychiatry and Mental health (522 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 Anna Katrin Szardenings. 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.

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