Min Su Lee

34 papers receiving 474 citations

Peers

Min Su Lee
Comparison fields: 5 of 105
  • Biophysics 45
  • Radiology, Nuclear Medicine and Imaging 85
  • Artificial Intelligence 79
  • Health Information Management 10
  • Cardiology and Cardiovascular Medicine 43
Replace Jingyang Gao with:
Jingyang Gao China
Michalis Zervakis Greece
A.M. Vossepoel Netherlands
Tryphon Lambrou United Kingdom
Zhennan Yan United States
Máté E. Maros Germany
Fausto Milletarì United States
Kim Eun Hee Germany
Daniel Forsberg Sweden
Nandhini Santhanam Germany
Min Su Lee relative to Jingyang Gao China Jingyang Gao's profile →
Citations per field
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Citations per year

Countries citing papers authored by Min Su Lee

Since Specialization
Citations

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

Fields of papers citing papers by Min Su Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Min Su Lee, 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 Su Lee Line = papers co-authored together Min Su Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201078
2 200864
3 201533
4 200828
5 200825
6 201324
7 201323
8 201720
9 201219
10 201019
11 201317
12 201416
13 201815
14 201013
15 201410
16 200910
17 20149
18 20169
19 20148
20 20127

About Min Su Lee

Min Su Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Molecular Biology, Electrical and Electronic Engineering and Biomedical Engineering, having authored 35 papers that have together received 490 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (10 papers), Indoor and Outdoor Localization Technologies (5 papers), Coronary Interventions and Diagnostics (3 papers), Imbalanced Data Classification Techniques (3 papers), Electromagnetic Fields and Biological Effects (3 papers), Evacuation and Crowd Dynamics (2 papers), Artificial Intelligence in Healthcare (2 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Biophysics (45 citations), Radiology, Nuclear Medicine and Imaging (85 citations), Artificial Intelligence (79 citations), Health Information Management (10 citations) and Cardiology and Cardiovascular Medicine (43 citations). Min Su Lee has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Sangyoon Oh, Byoung‐Tak Zhang, Sang Il Choi, Eun Ju Chun, Chan Gook Park, Woong‐Yang Park, Kil Joong Kim, Jeong A. Kim, Jeong-Sun Seo and Eunha Oh. Their work appears in journals such as International journal of cardiac imaging, International Journal of Radiation Biology, Veterinary Radiology & Ultrasound, Clinical Cancer Research and Measurement Science and Technology.

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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