Yangsean Choi
- Health Informatics top 5%
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- Radiomics and Machine Learning in Medical Imaging 16
- MRI in cancer diagnosis 12
- Advanced MRI Techniques and Applications 9
- Advanced Neuroimaging Techniques and Applications 8
- Otorhinolaryngology top 5%
- Head and Neck Cancer Studies 11
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- Thyroid Cancer Diagnosis and Treatment 5
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- Glioma Diagnosis and Treatment 9
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- Cerebrospinal fluid and hydrocephalus 5
- Co-authors
- So Lyung JungKook Jin AhnJinhee JangBum‐Soo KimNa‐Young ShinMin Kyoung LeeYoonho NamYoun Soo Lee
- Journals
- Korean Journal of Radiology (6 papers)European Journal of Radiology (6 papers)American Journal of Neuroradiology (5 papers)
- Partner nations
- South KoreaUnited StatesBelarus
In The Last Decade
Yangsean Choi
53 papers receiving 718 citations
Peers
Comparison fields: 5 of 78
- Health Informatics 23
- Radiology, Nuclear Medicine and Imaging 369
- Otorhinolaryngology 66
- Endocrinology, Diabetes and Metabolism 175
- Genetics 75
Countries citing papers authored by Yangsean Choi
This map shows the geographic impact of Yangsean Choi'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 Yangsean Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yangsean Choi more than expected).
Fields of papers citing papers by Yangsean Choi
This network shows the impact of papers produced by Yangsean Choi. 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 Yangsean Choi. The network helps show where Yangsean Choi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yangsean Choi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 6 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 11 | |
| 6 | 2022 | 12 | |
| 7 | 2022 | 18 | |
| 8 | 2021 | 21 | |
| 9 | 2021 | 11 | |
| 10 | 2021 | 6 | |
| 11 | 2021 | 6 | |
| 12 | 2021 | 19 | |
| 13 | 2020 | 35 | |
| 14 | 2020 | 46 | |
| 15 | 2020 | 18 | |
| 16 | 2020 | 25 | |
| 17 | 2019 | 50 | |
| 18 | 2019 | 107 | |
| 19 | 2019 | 28 | |
| 20 | 2017 | 42 |
About Yangsean Choi
Yangsean Choi is a scholar working on Otorhinolaryngology, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 54 papers that have together received 729 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (16 papers), MRI in cancer diagnosis (12 papers), Head and Neck Cancer Studies (11 papers), Glioma Diagnosis and Treatment (9 papers), Advanced MRI Techniques and Applications (9 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Cerebrospinal fluid and hydrocephalus (5 papers) and Thyroid Cancer Diagnosis and Treatment (5 papers). The work is most often cited by research in Health Informatics (23 citations), Radiology, Nuclear Medicine and Imaging (369 citations) and Otorhinolaryngology (66 citations). Yangsean Choi has collaborated with scholars based in South Korea, United States and Belarus. Frequent co-authors include So Lyung Jung, Kook Jin Ahn, Jinhee Jang, Bum‐Soo Kim, Na‐Young Shin, Min Kyoung Lee, Yoonho Nam, Youn Soo Lee, Hyun Seok Choi and Chan Kwon Jung. Their work appears in journals such as Korean Journal of Radiology, European Journal of Radiology, American Journal of Neuroradiology, European Radiology and PLoS ONE.
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.