Jongheon Jeong
Impact in
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
- Domain Adaptation and Few-Shot Learning
- Imbalanced Data Classification Techniques
- Adversarial Robustness in Machine Learning
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- Advanced Neural Network Applications
Papers in
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- Anomaly Detection Techniques and Applications 6
- Domain Adaptation and Few-Shot Learning 4
- Adversarial Robustness in Machine Learning 3
- Imbalanced Data Classification Techniques 2
- Machine Learning and Data Classification 1
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- Advanced Neural Network Applications 2
- Digital Imaging for Blood Diseases 1
- Co-authors
- Jinwoo Shin (7 shared papers)Jaehyung Kim (2 shared papers)Taewan Kim (1 shared paper)Avinash Ravichandran (1 shared paper)Dongqing Zhang (1 shared paper)Onkar Dabeer (1 shared paper)Jihoon Tack (2 shared papers)Sangwoo Mo (1 shared paper)
- Journals
- IEEE Access (1 paper)arXiv (Cornell University) (2 papers)Proceedings of the AAAI Conference on Artificial Intelligence (2 papers)
- Partner nations
- South KoreaCanadaUnited States
In The Last Decade
Jongheon Jeong
8 papers receiving 315 citations
Jongheon Jeong's Hit Papers
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 253
- Computer Vision and Pattern Recognition 104
- Industrial and Manufacturing Engineering 28
- Media Technology 20
- Health Informatics 3
Countries citing papers authored by Jongheon Jeong
This map shows the geographic impact of Jongheon Jeong'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 Jongheon Jeong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jongheon Jeong more than expected).
Fields of papers citing papers by Jongheon Jeong
This network shows the impact of papers produced by Jongheon Jeong. 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 Jongheon Jeong. The network helps show where Jongheon Jeong may publish in the future.
Co-authors
The 15 scholars most cited alongside Jongheon Jeong, 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 | 2020 | 143 | |
| 2 | WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation Hit paper breakdown → | 2023 | 125 |
| 3 | 2022 | 25 | |
| 4 | CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances | 2020 | 19 |
| 5 | 2024 | 4 | |
| 6 | Imbalanced Classification via Adversarial Minority Over-sampling | 2019 | 3 |
| 7 | Training CNNs with Selective Allocation of Channels | 2019 | 2 |
| 8 | 2021 | 1 | |
| 9 | 2023 | 0 |
About Jongheon Jeong
Jongheon Jeong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Signal Processing, having authored 9 papers that have together received 322 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (6 papers), Domain Adaptation and Few-Shot Learning (4 papers), Adversarial Robustness in Machine Learning (3 papers), Imbalanced Data Classification Techniques (2 papers), COVID-19 diagnosis using AI (2 papers), Advanced Neural Network Applications (2 papers), Digital Imaging for Blood Diseases (1 paper) and Machine Learning and Data Classification (1 paper). The work is most often cited by research in Artificial Intelligence (253 citations), Computer Vision and Pattern Recognition (104 citations), Industrial and Manufacturing Engineering (28 citations), Media Technology (20 citations) and Health Informatics (3 citations). Jongheon Jeong has collaborated with scholars based in South Korea, Canada and United States. Frequent co-authors include Jinwoo Shin, Jaehyung Kim, Taewan Kim, Avinash Ravichandran, Dongqing Zhang, Onkar Dabeer, Jihoon Tack, Sangwoo Mo, Sung Ju Hwang and Won Jin Lee. Their work appears in journals such as IEEE Access, arXiv (Cornell University) and Proceedings of the AAAI 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.