Soochahn Lee
Impact in
- Ophthalmology top 2%
- Retinal and Optic Conditions
- Retinal Diseases and Treatments
- Glaucoma and retinal disorders
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- Retinal Imaging and Analysis
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Medical Image Segmentation Techniques 9
- Advanced Vision and Imaging 6
- Advanced Image and Video Retrieval Techniques 6
- Video Surveillance and Tracking Methods 4
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- Retinal Imaging and Analysis 12
- Medical Imaging Techniques and Applications 5
- Co-authors
- Il Dong Yun (12 shared papers)Kyoung Mu Lee (9 shared papers)Seung Yeon Shin (5 shared papers)Kyoung Jin Noh (9 shared papers)Sang Jun Park (10 shared papers)Yong Seok Heo (5 shared papers)Ho Yub Jung (5 shared papers)Sang Uk Lee (4 shared papers)
- Journals
- IEEE Access (6 papers)PLoS ONE (3 papers)Applied Sciences (3 papers)Computer Vision and Image Understanding (2 papers)Medical Image Analysis (2 papers)
- Partner nations
- South KoreaEthiopiaPuerto Rico
In The Last Decade
Soochahn Lee
32 papers receiving 566 citations
Peers
Comparison fields: 5 of 64
- Ophthalmology 151
- Radiology, Nuclear Medicine and Imaging 339
- Computer Vision and Pattern Recognition 287
- Health Informatics 8
- Human-Computer Interaction 24
Countries citing papers authored by Soochahn Lee
This map shows the geographic impact of Soochahn 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 Soochahn Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soochahn Lee more than expected).
Fields of papers citing papers by Soochahn Lee
This network shows the impact of papers produced by Soochahn 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 Soochahn Lee. The network helps show where Soochahn Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Soochahn Lee, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 182 | |
| 2 | 2015 | 72 | |
| 3 | 2020 | 56 | |
| 4 | 2019 | 55 | |
| 5 | 2011 | 31 | |
| 6 | 2019 | 28 | |
| 7 | 2016 | 17 | |
| 8 | 2020 | 14 | |
| 9 | 2023 | 14 | |
| 10 | 2013 | 14 | |
| 11 | 2020 | 11 | |
| 12 | 2010 | 10 | |
| 13 | 2021 | 8 | |
| 14 | 2020 | 8 | |
| 15 | 2015 | 7 | |
| 16 | 2020 | 7 | |
| 17 | 2024 | 7 | |
| 18 | 2023 | 7 | |
| 19 | 2019 | 5 | |
| 20 | 2018 | 5 |
About Soochahn Lee
Soochahn Lee is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Ophthalmology, Biomedical Engineering and Signal Processing, having authored 37 papers that have together received 587 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (12 papers), Medical Image Segmentation Techniques (9 papers), Retinal Diseases and Treatments (6 papers), Advanced Vision and Imaging (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Medical Imaging Techniques and Applications (5 papers), Advanced X-ray and CT Imaging (4 papers) and Video Surveillance and Tracking Methods (4 papers). The work is most often cited by research in Ophthalmology (151 citations), Radiology, Nuclear Medicine and Imaging (339 citations), Computer Vision and Pattern Recognition (287 citations), Health Informatics (8 citations) and Human-Computer Interaction (24 citations). Soochahn Lee has collaborated with scholars based in South Korea, Ethiopia and Puerto Rico. Frequent co-authors include Il Dong Yun, Kyoung Mu Lee, Seung Yeon Shin, Kyoung Jin Noh, Sang Jun Park, Yong Seok Heo, Ho Yub Jung, Sang Uk Lee, Kyong Joon Lee and Si‐Hyuck Kang. Their work appears in journals such as IEEE Access, PLoS ONE, Applied Sciences, Computer Vision and Image Understanding and Medical Image Analysis.
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.