Youngmin Ro
Impact in
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- Digital Media Forensic Detection
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
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- Domain Adaptation and Few-Shot Learning
- Privacy-Preserving Technologies in Data
Papers in
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- Digital Media Forensic Detection 3
- Advanced Neural Network Applications 3
- Advanced Image Processing Techniques 2
- Video Surveillance and Tracking Methods 2
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- Domain Adaptation and Few-Shot Learning 3
- Privacy-Preserving Technologies in Data 1
- Co-authors
- Yonghyun Jeong (4 shared papers)Doyeon Kim (2 shared papers)Jongwon Choi (1 shared paper)Jin Young Choi (4 shared papers)Jongwon Choi (4 shared papers)Byeongho Heo (2 shared papers)Jae Wook Lee (1 shared paper)Jungwoo Lee (1 shared paper)
- Journals
- IEEE Access (3 papers)IEEE Transactions on Neural Networks and Learning Systems (1 paper)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (1 paper)Pattern Recognition Letters (1 paper)Computer Methods in Applied Mechanics and Engineering (1 paper)
- Partner nations
- South KoreaUnited States
In The Last Decade
Youngmin Ro
14 papers receiving 258 citations
Youngmin Ro's Hit Papers
Peers
Comparison fields: 5 of 39
- Computer Vision and Pattern Recognition 180
- Artificial Intelligence 45
- Industrial and Manufacturing Engineering 12
- Media Technology 5
- Health Informatics 1
Countries citing papers authored by Youngmin Ro
This map shows the geographic impact of Youngmin Ro'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 Youngmin Ro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youngmin Ro more than expected).
Fields of papers citing papers by Youngmin Ro
This network shows the impact of papers produced by Youngmin Ro. 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 Youngmin Ro. The network helps show where Youngmin Ro may publish in the future.
Co-authors
The 10 scholars most cited alongside Youngmin Ro, 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 | 2022 | 85 | |
| 2 | SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design Hit paper breakdown → | 2024 | 85 |
| 3 | 2021 | 21 | |
| 4 | 2022 | 20 | |
| 5 | 2019 | 19 | |
| 6 | 2022 | 10 | |
| 7 | 2021 | 8 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 3 | |
| 10 | 2025 | 3 | |
| 11 | 2016 | 2 | |
| 12 | 2025 | 2 | |
| 13 | 2017 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2024 | 0 | |
| 16 | 2025 | 0 | |
| 17 | 2026 | 0 |
About Youngmin Ro
Youngmin Ro is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Industrial and Manufacturing Engineering and Statistical and Nonlinear Physics, having authored 17 papers that have together received 264 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (3 papers), Digital Media Forensic Detection (3 papers), Advanced Neural Network Applications (3 papers), Advanced Image Processing Techniques (2 papers), Video Surveillance and Tracking Methods (2 papers), Privacy-Preserving Technologies in Data (1 paper), Agricultural Engineering and Mechanization (1 paper) and Soil Mechanics and Vehicle Dynamics (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (180 citations), Artificial Intelligence (45 citations), Industrial and Manufacturing Engineering (12 citations), Media Technology (5 citations) and Health Informatics (1 citation). Youngmin Ro has collaborated with scholars based in South Korea and United States. Frequent co-authors include Yonghyun Jeong, Doyeon Kim, Jongwon Choi, Jin Young Choi, Jongwon Choi, Byeongho Heo, Jae Wook Lee, Jungwoo Lee, Do‐Nyun Kim and Sangdoo Yun. Their work appears in journals such as IEEE Access, IEEE Transactions on Neural Networks and Learning Systems, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Pattern Recognition Letters and Computer Methods in Applied Mechanics and Engineering.
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.