Haeyun Lee
- Health Informatics top 5%
- Media Technology top 5%
- Remote-Sensing Image Classification 3
- Advanced Image Fusion Techniques 2
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- Radiomics and Machine Learning in Medical Imaging 2
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- Image and Signal Denoising Methods 4
- Artificial Intelligence top 10%
- AI in cancer detection 2
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- Automated Road and Building Extraction 2
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- Kawasaki Disease and Coronary Complications 2
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- Pneumonia and Respiratory Infections 1
- Co-authors
- Jae Youn HwangJinhyoung ParkJun Hee KimJihwan P. ChoiKyungsu LeeSewoong KimHyoun‐Joong KongLucy Youngmin Eun
- Journals
- IEEE Transactions on Geoscience and Remote Sensing (2 papers)IEEE Access (1 paper)IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control (2 papers)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Haeyun Lee
11 papers receiving 314 citations
Peers
Comparison fields: 5 of 70
- Health Informatics 27
- Media Technology 83
- Radiology, Nuclear Medicine and Imaging 113
- Computer Vision and Pattern Recognition 94
- Artificial Intelligence 146
Countries citing papers authored by Haeyun Lee
This map shows the geographic impact of Haeyun 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 Haeyun Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haeyun Lee more than expected).
Fields of papers citing papers by Haeyun Lee
This network shows the impact of papers produced by Haeyun 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 Haeyun Lee. The network helps show where Haeyun Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Haeyun 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 15 | |
| 8 | 2022 | 0 | |
| 9 | 2021 | 55 | |
| 10 | 2021 | 15 | |
| 11 | 2021 | 39 | |
| 12 | 2020 | 125 | |
| 13 | 2020 | 7 | |
| 14 | 2019 | 0 | |
| 15 | 2018 | 54 |
About Haeyun Lee
Haeyun Lee is a scholar working on Health Informatics, Media Technology and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 328 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (4 papers), Remote-Sensing Image Classification (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Automated Road and Building Extraction (2 papers), Advanced Image Fusion Techniques (2 papers), Kawasaki Disease and Coronary Complications (2 papers), AI in cancer detection (2 papers) and Pneumonia and Respiratory Infections (1 paper). The work is most often cited by research in Health Informatics (27 citations), Media Technology (83 citations) and Radiology, Nuclear Medicine and Imaging (113 citations). Haeyun Lee has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Jae Youn Hwang, Jinhyoung Park, Jun Hee Kim, Jihwan P. Choi, Kyungsu Lee, Sewoong Kim, Hyoun‐Joong Kong, Lucy Youngmin Eun, Yongsoon Eun and Sunghyun Cho. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control.
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.