In-Jae Yu
Impact in
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- Digital Media Forensic Detection
- Advanced Steganography and Watermarking Techniques
- Generative Adversarial Networks and Image Synthesis
- Advanced Image Processing Techniques
- Media Technology top 5%
- Image Processing Techniques and Applications
Papers in
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- Digital Media Forensic Detection 13
- Advanced Steganography and Watermarking Techniques 10
- Advanced Image Processing Techniques 4
- Generative Adversarial Networks and Image Synthesis 3
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- Image Processing Techniques and Applications 3
- Co-authors
- Heung-Kyu Lee (13 shared papers)Seung-Hun Nam (11 shared papers)Myung-Joon Kwon (7 shared papers)Changick Kim (1 shared paper)Dongkyu Kim (2 shared papers)Jin-Seok Park (2 shared papers)Jinseok Park (2 shared papers)Kyungsu Kim (1 shared paper)
- Journals
- IEEE Access (3 papers)IEEE Multimedia (1 paper)Applied Sciences (1 paper)International Journal of Computer Vision (1 paper)Signal Processing Image Communication (1 paper)
- Partner nations
- South Korea
In The Last Decade
In-Jae Yu
18 papers receiving 315 citations
Peers
Comparison fields: 5 of 30
- Computer Vision and Pattern Recognition 291
- Media Technology 98
- Biophysics 35
- Law 35
- Artificial Intelligence 58
Countries citing papers authored by In-Jae Yu
This map shows the geographic impact of In-Jae Yu'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 In-Jae Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites In-Jae Yu more than expected).
Fields of papers citing papers by In-Jae Yu
This network shows the impact of papers produced by In-Jae Yu. 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 In-Jae Yu. The network helps show where In-Jae Yu may publish in the future.
Co-authors
The 19 scholars most cited alongside In-Jae Yu, 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 | 2021 | 101 | |
| 2 | 2022 | 75 | |
| 3 | 2020 | 18 | |
| 4 | 2019 | 17 | |
| 5 | 2017 | 15 | |
| 6 | 2020 | 14 | |
| 7 | 2019 | 13 | |
| 8 | 2018 | 11 | |
| 9 | 2020 | 11 | |
| 10 | 2022 | 10 | |
| 11 | 2023 | 10 | |
| 12 | 2019 | 7 | |
| 13 | 2020 | 6 | |
| 14 | 2022 | 4 | |
| 15 | 2021 | 4 | |
| 16 | 2018 | 2 | |
| 17 | 2018 | 2 | |
| 18 | 2018 | 1 |
About In-Jae Yu
In-Jae Yu is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Public Health, Environmental and Occupational Health, Cultural Studies and Law, having authored 18 papers that have together received 321 indexed citations. Recurring topics across this work include Digital Media Forensic Detection (13 papers), Advanced Steganography and Watermarking Techniques (10 papers), Advanced Image Processing Techniques (4 papers), Image Processing Techniques and Applications (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Diverse Approaches in Healthcare and Education Studies (2 papers), Law in Society and Culture (2 papers) and Diverse Topics in Contemporary Research (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (291 citations), Media Technology (98 citations), Biophysics (35 citations), Law (35 citations) and Artificial Intelligence (58 citations). In-Jae Yu has collaborated with scholars based in South Korea. Frequent co-authors include Heung-Kyu Lee, Seung-Hun Nam, Myung-Joon Kwon, Changick Kim, Dongkyu Kim, Jin-Seok Park, Jinseok Park, Kyungsu Kim, Jong‐Uk Hou and Seung-Min Mun. Their work appears in journals such as IEEE Access, IEEE Multimedia, Applied Sciences, International Journal of Computer Vision and Signal Processing Image Communication.
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.