Wonho Bae
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Advanced Image Processing Techniques
- Visual Attention and Saliency Detection
- Media Technology top 10%
- Image Processing Techniques and Applications
Papers in
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- Domain Adaptation and Few-Shot Learning 1
- Machine Learning and Data Classification 1
- Gaussian Processes and Bayesian Inference 1
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- Advanced Neural Network Applications 2
- Co-authors
- Junhyug Noh (4 shared papers)Gunhee Kim (2 shared papers)Wonhee Lee (1 shared paper)Chun Soo Lim (1 shared paper)Yong-Lim Kim (1 shared paper)Yon Su Kim (2 shared papers)Jang‐Hee Cho (2 shared papers)Shin‐Wook Kang (2 shared papers)
- Journals
- Scientific Reports (2 papers)Communications for Statistical Applications and Methods (1 paper)Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (1 paper)
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Wonho Bae
5 papers receiving 203 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 157
- Media Technology 55
- Health Informatics 7
- Industrial and Manufacturing Engineering 22
- Aerospace Engineering 52
Countries citing papers authored by Wonho Bae
This map shows the geographic impact of Wonho Bae'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 Wonho Bae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wonho Bae more than expected).
Fields of papers citing papers by Wonho Bae
This network shows the impact of papers produced by Wonho Bae. 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 Wonho Bae. The network helps show where Wonho Bae may publish in the future.
Co-authors
The 19 scholars most cited alongside Wonho Bae, 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 | 2019 | 177 | |
| 2 | 2020 | 23 | |
| 3 | 2022 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2014 | 2 |
About Wonho Bae
Wonho Bae is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistics and Probability, Nephrology and Cardiology and Cardiovascular Medicine, having authored 5 papers that have together received 207 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (1 paper), Machine Learning and Data Classification (1 paper), Artificial Intelligence in Healthcare (1 paper), Statistical Methods and Inference (1 paper), Image Processing Techniques and Applications (1 paper), Blood Pressure and Hypertension Studies (1 paper) and Gaussian Processes and Bayesian Inference (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (157 citations), Media Technology (55 citations), Health Informatics (7 citations), Industrial and Manufacturing Engineering (22 citations) and Aerospace Engineering (52 citations). Wonho Bae has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Junhyug Noh, Gunhee Kim, Wonhee Lee, Chun Soo Lim, Yong-Lim Kim, Yon Su Kim, Jang‐Hee Cho, Shin‐Wook Kang, Dong Ki Kim and Kyung Don Yoo. Their work appears in journals such as Scientific Reports, Communications for Statistical Applications and Methods and Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
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.