Taejoon Eo
Impact in
-
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
- Health Informatics top 10%
Papers in
-
- Advanced MRI Techniques and Applications 7
- Radiomics and Machine Learning in Medical Imaging 4
- Advanced Neuroimaging Techniques and Applications 4
- Medical Imaging Techniques and Applications 4
- COVID-19 diagnosis using AI 2
-
- Domain Adaptation and Few-Shot Learning 1
- Co-authors
- Dosik Hwang (18 shared papers)Yohan Jun (10 shared papers)Taeseong Kim (4 shared papers)Ho‐Joon Lee (2 shared papers)Jinseong Jang (2 shared papers)Hyungseob Shin (8 shared papers)In‐Yong Park (1 shared paper)Tae‐Seong Kim (1 shared paper)
- Journals
- Medical Image Analysis (3 papers)Magnetic Resonance in Medicine (2 papers)European Radiology (2 papers)Applied Sciences (1 paper)npj Precision Oncology (1 paper)
- Partner nations
- South KoreaUnited StatesRussia
In The Last Decade
Taejoon Eo
18 papers receiving 581 citations
Taejoon Eo's Hit Papers
Peers
Comparison fields: 5 of 64
- Radiology, Nuclear Medicine and Imaging 401
- Health Informatics 18
- Computer Vision and Pattern Recognition 84
- Computational Mechanics 77
- Neurology 27
Countries citing papers authored by Taejoon Eo
This map shows the geographic impact of Taejoon Eo'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 Taejoon Eo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taejoon Eo more than expected).
Fields of papers citing papers by Taejoon Eo
This network shows the impact of papers produced by Taejoon Eo. 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 Taejoon Eo. The network helps show where Taejoon Eo may publish in the future.
Co-authors
The 25 scholars most cited alongside Taejoon Eo, 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 | 2018 | 312 | |
| 2 | 2021 | 47 | |
| 3 | 2021 | 43 | |
| 4 | 2018 | 35 | |
| 5 | 2020 | 30 | |
| 6 | 2021 | 29 | |
| 7 | 2023 | 22 | |
| 8 | 2019 | 21 | |
| 9 | 2022 | 15 | |
| 10 | 2023 | 12 | |
| 11 | 2023 | 9 | |
| 12 | 2020 | 5 | |
| 13 | 2018 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2016 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 1 |
About Taejoon Eo
Taejoon Eo is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Biomedical Engineering, Surgery and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 587 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Medical Imaging Techniques and Applications (4 papers), COVID-19 diagnosis using AI (2 papers), Color Science and Applications (1 paper), Domain Adaptation and Few-Shot Learning (1 paper) and Osteoarthritis Treatment and Mechanisms (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (401 citations), Health Informatics (18 citations), Computer Vision and Pattern Recognition (84 citations), Computational Mechanics (77 citations) and Neurology (27 citations). Taejoon Eo has collaborated with scholars based in South Korea, United States and Russia. Frequent co-authors include Dosik Hwang, Yohan Jun, Taeseong Kim, Ho‐Joon Lee, Jinseong Jang, Hyungseob Shin, In‐Yong Park, Tae‐Seong Kim, Sung Soo Ahn and Byoung Wook Choi. Their work appears in journals such as Medical Image Analysis, Magnetic Resonance in Medicine, European Radiology, Applied Sciences and npj Precision Oncology.
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.