Jonghwan Mun
Impact in
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- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Video Analysis and Summarization
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Pharmaceutical Science top 10%
Papers in
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- Multimodal Machine Learning Applications 10
- Advanced Image and Video Retrieval Techniques 5
- Human Pose and Action Recognition 4
- Advanced Neural Network Applications 3
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- Domain Adaptation and Few-Shot Learning 5
- Co-authors
- Bohyung Han (8 shared papers)Minsu Cho (2 shared papers)Sei Kwang Hahn (4 shared papers)Zhou Ren (1 shared paper)Linjie Yang (1 shared paper)Ning Xu (1 shared paper)Byungseok Roh (3 shared papers)Junbum Cha (2 shared papers)
- Journals
- RSC Advances (2 papers)Biomaterials Science (1 paper)Advanced Drug Delivery Reviews (1 paper)Seoul National University Open Repository (Seoul National University) (2 papers)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
- Partner nations
- South KoreaGermanyJapan
In The Last Decade
Jonghwan Mun
16 papers receiving 635 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 442
- Pharmaceutical Science 50
- Artificial Intelligence 202
- Public Health, Environmental and Occupational Health 80
- Ophthalmology 20
Countries citing papers authored by Jonghwan Mun
This map shows the geographic impact of Jonghwan Mun'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 Jonghwan Mun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonghwan Mun more than expected).
Fields of papers citing papers by Jonghwan Mun
This network shows the impact of papers produced by Jonghwan Mun. 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 Jonghwan Mun. The network helps show where Jonghwan Mun may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonghwan Mun, 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 | 179 | |
| 2 | 2019 | 94 | |
| 3 | 2019 | 65 | |
| 4 | 2017 | 54 | |
| 5 | 2022 | 46 | |
| 6 | 2023 | 44 | |
| 7 | Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization | 2017 | 34 |
| 8 | 2023 | 33 | |
| 9 | 2020 | 26 | |
| 10 | 2024 | 19 | |
| 11 | Learning to Specialize with Knowledge Distillation for Visual Question Answering | 2018 | 16 |
| 12 | 2022 | 15 | |
| 13 | 2019 | 7 | |
| 14 | 2023 | 7 | |
| 15 | 2023 | 7 | |
| 16 | 2021 | 6 |
About Jonghwan Mun
Jonghwan Mun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Public Health, Environmental and Occupational Health, Radiology, Nuclear Medicine and Imaging and Pharmaceutical Science, having authored 16 papers that have together received 652 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (10 papers), Advanced Image and Video Retrieval Techniques (5 papers), Domain Adaptation and Few-Shot Learning (5 papers), Human Pose and Action Recognition (4 papers), Ocular Surface and Contact Lens (3 papers), Corneal Surgery and Treatments (3 papers), Advanced Neural Network Applications (3 papers) and Advanced Drug Delivery Systems (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (442 citations), Pharmaceutical Science (50 citations), Artificial Intelligence (202 citations), Public Health, Environmental and Occupational Health (80 citations) and Ophthalmology (20 citations). Jonghwan Mun has collaborated with scholars based in South Korea, Germany and Japan. Frequent co-authors include Bohyung Han, Minsu Cho, Sei Kwang Hahn, Zhou Ren, Linjie Yang, Ning Xu, Byungseok Roh, Junbum Cha, Choun‐Ki Joo and Jee Won Mok. Their work appears in journals such as RSC Advances, Biomaterials Science, Advanced Drug Delivery Reviews, Seoul National University Open Repository (Seoul National University) and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.