Wonho Bae
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Advanced Image Processing Techniques
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
- Media Technology top 5%
Papers in
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- Machine Learning and Data Classification 2
- Machine Learning and Algorithms 2
- Domain Adaptation and Few-Shot Learning 2
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- Advanced Neural Network Applications 4
- Multimodal Machine Learning Applications 2
- Co-authors
- Junhyug Noh (7 shared papers)Gunhee Kim (3 shared papers)Wonhee Lee (1 shared paper)Danica J. Sutherland (4 shared papers)Daijin Kim (1 shared paper)Shin‐Wook Kang (2 shared papers)Jong Soo Lee (1 shared paper)Kyung Don Yoo (2 shared papers)
- Journals
- Scientific Reports (2 papers)Lecture notes in computer science (4 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 KoreaCanadaUnited States
In The Last Decade
Wonho Bae
8 papers receiving 312 citations
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 239
- Media Technology 66
- Health Informatics 8
- Aerospace Engineering 69
- Industrial and Manufacturing Engineering 26
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 21 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 | 192 | |
| 2 | 2020 | 72 | |
| 3 | 2020 | 26 | |
| 4 | 2022 | 21 | |
| 5 | 2022 | 3 | |
| 6 | 2024 | 2 | |
| 7 | 2014 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 |
About Wonho Bae
Wonho Bae is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistics and Probability, Computer Networks and Communications and Nephrology, having authored 9 papers that have together received 320 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Multimodal Machine Learning Applications (2 papers), Machine Learning and Data Classification (2 papers), Machine Learning and Algorithms (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Artificial Intelligence in Healthcare (1 paper), Chronic Kidney Disease and Diabetes (1 paper) and Statistical Methods in Epidemiology (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (239 citations), Media Technology (66 citations), Health Informatics (8 citations), Aerospace Engineering (69 citations) and Industrial and Manufacturing Engineering (26 citations). Wonho Bae has collaborated with scholars based in South Korea, Canada and United States. Frequent co-authors include Junhyug Noh, Gunhee Kim, Wonhee Lee, Danica J. Sutherland, Daijin Kim, Shin‐Wook Kang, Jong Soo Lee, Kyung Don Yoo, Hajeong Lee and Yong-Lim Kim. Their work appears in journals such as Scientific Reports, Lecture notes in computer science, 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.