Jongbin Ryu
Impact in
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- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Advanced Vision and Imaging
- Face and Expression Recognition
- Face recognition and analysis
- Generative Adversarial Networks and Image Synthesis
Papers in
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- Advanced Image and Video Retrieval Techniques 7
- Image Retrieval and Classification Techniques 4
- Face recognition and analysis 3
- Medical Image Segmentation Techniques 2
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- Domain Adaptation and Few-Shot Learning 6
- AI in cancer detection 4
- Co-authors
- Sungeun Hong (6 shared papers)Jongwoo Lim (10 shared papers)Hyun Suk Yang (4 shared papers)Ming–Hsuan Yang (3 shared papers)Hyun Suk Yang (1 shared paper)Bo-Kyeong Kang (3 shared papers)Jaehoon Oh (4 shared papers)Namkug Kim (2 shared papers)
- Journals
- Journal of Personalized Medicine (2 papers)Neurocomputing (2 papers)Scientific Reports (2 papers)Computer Methods and Programs in Biomedicine (1 paper)Pattern Recognition Letters (1 paper)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Jongbin Ryu
27 papers receiving 400 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 280
- Health Informatics 7
- Signal Processing 47
- Media Technology 32
- Radiology, Nuclear Medicine and Imaging 47
Countries citing papers authored by Jongbin Ryu
This map shows the geographic impact of Jongbin Ryu'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 Jongbin Ryu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jongbin Ryu more than expected).
Fields of papers citing papers by Jongbin Ryu
This network shows the impact of papers produced by Jongbin Ryu. 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 Jongbin Ryu. The network helps show where Jongbin Ryu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jongbin Ryu, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 56 | |
| 2 | 2017 | 51 | |
| 3 | 2019 | 35 | |
| 4 | 2020 | 32 | |
| 5 | 2018 | 32 | |
| 6 | 2017 | 30 | |
| 7 | 2007 | 25 | |
| 8 | 2020 | 21 | |
| 9 | 2016 | 20 | |
| 10 | 2019 | 16 | |
| 11 | 2024 | 12 | |
| 12 | 2024 | 10 | |
| 13 | 2023 | 10 | |
| 14 | 2024 | 8 | |
| 15 | 2020 | 8 | |
| 16 | 2020 | 8 | |
| 17 | 2021 | 7 | |
| 18 | Generalized Convolutional Forest Networks for Domain Generalization and Visual Recognition | 2020 | 6 |
| 19 | 2023 | 6 | |
| 20 | 2022 | 5 |
About Jongbin Ryu
Jongbin Ryu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Surgery and Signal Processing, having authored 29 papers that have together received 415 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (7 papers), COVID-19 diagnosis using AI (6 papers), Domain Adaptation and Few-Shot Learning (6 papers), Image Retrieval and Classification Techniques (4 papers), AI in cancer detection (4 papers), Face recognition and analysis (3 papers), Brain Tumor Detection and Classification (2 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (280 citations), Health Informatics (7 citations), Signal Processing (47 citations), Media Technology (32 citations) and Radiology, Nuclear Medicine and Imaging (47 citations). Jongbin Ryu has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Sungeun Hong, Jongwoo Lim, Hyun Suk Yang, Ming–Hsuan Yang, Hyun Suk Yang, Bo-Kyeong Kang, Jaehoon Oh, Namkug Kim, Dong Keon Lee and Sungeun Kim. Their work appears in journals such as Journal of Personalized Medicine, Neurocomputing, Scientific Reports, Computer Methods and Programs in Biomedicine and Pattern Recognition Letters.
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.