Jaejun Yoo
Impact in
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- Generative Adversarial Networks and Image Synthesis
- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
- Face recognition and analysis
- Digital Media Forensic Detection
- Image Enhancement Techniques
- Advanced Vision and Imaging
Papers in
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- Generative Adversarial Networks and Image Synthesis 7
- Advanced Image Processing Techniques 6
- Multimodal Machine Learning Applications 4
- Image Enhancement Techniques 3
- Co-authors
- Youngjung Uh (4 shared papers)Jung-Woo Ha (3 shared papers)Yunjey Choi (2 shared papers)Jong Chul Ye (7 shared papers)Won Chang (1 shared paper)Eun‐Hee Kang (1 shared paper)Woong Bae (1 shared paper)Dongwook Lee (2 shared papers)
- Journals
- Scientific Reports (2 papers)IEEE Access (2 papers)SIAM Journal on Imaging Sciences (1 paper)International Journal of Computer Vision (1 paper)IEEE Transactions on Circuits and Systems for Video Technology (1 paper)
- Partner nations
- South KoreaUnited StatesSwitzerland
In The Last Decade
Jaejun Yoo
36 papers receiving 1.9k citations
Jaejun Yoo's Hit Papers
Peers
Comparison fields: 5 of 117
- Computer Vision and Pattern Recognition 1.4k
- Computer Graphics and Computer-Aided Design 159
- Media Technology 172
- Radiology, Nuclear Medicine and Imaging 361
- Biophysics 47
Countries citing papers authored by Jaejun Yoo
This map shows the geographic impact of Jaejun Yoo'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 Jaejun Yoo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaejun Yoo more than expected).
Fields of papers citing papers by Jaejun Yoo
This network shows the impact of papers produced by Jaejun Yoo. 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 Jaejun Yoo. The network helps show where Jaejun Yoo may publish in the future.
Co-authors
The 25 scholars most cited alongside Jaejun Yoo, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | StarGAN v2: Diverse Image Synthesis for Multiple Domains Hit paper breakdown → | 2020 | 972 |
| 2 | 2018 | 242 | |
| 3 | 2019 | 217 | |
| 4 | 2017 | 143 | |
| 5 | 2017 | 137 | |
| 6 | 2021 | 80 | |
| 7 | 2016 | 19 | |
| 8 | 2005 | 16 | |
| 9 | 2018 | 12 | |
| 10 | 2023 | 11 | |
| 11 | 2023 | 7 | |
| 12 | 2023 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2010 | 4 | |
| 16 | 2025 | 4 | |
| 17 | 2019 | 4 | |
| 18 | 2004 | 4 | |
| 19 | 2017 | 4 | |
| 20 | 2024 | 3 |
About Jaejun Yoo
Jaejun Yoo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering, having authored 42 papers that have together received 1.9k indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (7 papers), Advanced Image Processing Techniques (6 papers), Sparse and Compressive Sensing Techniques (5 papers), Indoor and Outdoor Localization Technologies (5 papers), Multimodal Machine Learning Applications (4 papers), Functional Brain Connectivity Studies (3 papers), Image Enhancement Techniques (3 papers) and Medical Imaging Techniques and Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Computer Graphics and Computer-Aided Design (159 citations), Media Technology (172 citations), Radiology, Nuclear Medicine and Imaging (361 citations) and Biophysics (47 citations). Jaejun Yoo has collaborated with scholars based in South Korea, United States and Switzerland. Frequent co-authors include Youngjung Uh, Jung-Woo Ha, Yunjey Choi, Jong Chul Ye, Won Chang, Eun‐Hee Kang, Woong Bae, Dongwook Lee, Sanghyuk Chun and Hyunjung Shim. Their work appears in journals such as Scientific Reports, IEEE Access, SIAM Journal on Imaging Sciences, International Journal of Computer Vision and IEEE Transactions on Circuits and Systems for Video 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.