Min Wan
Impact in
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- Cardiac Imaging and Diagnostics
- Advanced MRI Techniques and Applications
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- Cardiovascular Function and Risk Factors
- Cardiac Valve Diseases and Treatments
- Cardiovascular Health and Disease Prevention
Papers in
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- Cardiac Imaging and Diagnostics 10
- Advanced MRI Techniques and Applications 5
- Surgery 12
- Coronary Interventions and Diagnostics 9
- Co-authors
- Ru‐San Tan (21 shared papers)Liang Zhong (21 shared papers)Junmei Zhang (19 shared papers)Xiaodan Zhao (15 shared papers)Boyang Su (5 shared papers)Ghassan S. Kassab (6 shared papers)Yunlong Huo (4 shared papers)Tong Luo (5 shared papers)
- Journals
- PLoS ONE (3 papers)International Journal for Numerical Methods in Biomedical Engineering (2 papers)Scientific Reports (2 papers)Neuroreport (1 paper)BioMed Research International (1 paper)
- Partner nations
- SingaporeChinaUnited States
In The Last Decade
Min Wan
29 papers receiving 306 citations
Peers
Comparison fields: 5 of 65
- Radiology, Nuclear Medicine and Imaging 138
- Cardiology and Cardiovascular Medicine 128
- Surgery 153
- Computer Vision and Pattern Recognition 38
- Computational Mechanics 22
Countries citing papers authored by Min Wan
This map shows the geographic impact of Min Wan'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 Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Wan more than expected).
Fields of papers citing papers by Min Wan
This network shows the impact of papers produced by Min Wan. 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 Wan. The network helps show where Min Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Wan, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 64 | |
| 2 | 2016 | 55 | |
| 3 | 2015 | 35 | |
| 4 | 2014 | 24 | |
| 5 | 2014 | 20 | |
| 6 | 2018 | 11 | |
| 7 | 2014 | 11 | |
| 8 | 2024 | 9 | |
| 9 | 2016 | 9 | |
| 10 | 2023 | 7 | |
| 11 | 2014 | 7 | |
| 12 | 2013 | 7 | |
| 13 | 2023 | 6 | |
| 14 | 2011 | 6 | |
| 15 | 2025 | 5 | |
| 16 | 2024 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2015 | 4 | |
| 19 | 2019 | 3 | |
| 20 | 2013 | 3 |
About Min Wan
Min Wan is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 32 papers that have together received 310 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (10 papers), Cardiac Imaging and Diagnostics (10 papers), Medical Image Segmentation Techniques (9 papers), Coronary Interventions and Diagnostics (9 papers), Advanced MRI Techniques and Applications (5 papers), Cardiac Valve Diseases and Treatments (4 papers), 3D Shape Modeling and Analysis (3 papers) and Cardiomyopathy and Myosin Studies (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (138 citations), Cardiology and Cardiovascular Medicine (128 citations), Surgery (153 citations), Computer Vision and Pattern Recognition (38 citations) and Computational Mechanics (22 citations). Min Wan has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Ru‐San Tan, Liang Zhong, Junmei Zhang, Xiaodan Zhao, Boyang Su, Ghassan S. Kassab, Yunlong Huo, Tong Luo, Swee Yaw Tan and Dhanjoo N. Ghista. Their work appears in journals such as PLoS ONE, International Journal for Numerical Methods in Biomedical Engineering, Scientific Reports, Neuroreport and BioMed Research International.
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.