Jonghwan Mun
Impact in
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- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Video Analysis and Summarization
- Pharmaceutical Science top 5%
- Advanced Drug Delivery Systems
Papers in
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- Multimodal Machine Learning Applications 9
- Advanced Neural Network Applications 3
- Human Pose and Action Recognition 2
- Video Analysis and Summarization 1
-
- Advanced Drug Delivery Systems 2
- Co-authors
- Bohyung Han (8 shared papers)Minsu Cho (2 shared papers)Byungseok Roh (3 shared papers)Junbum Cha (2 shared papers)Sei Kwang Hahn (3 shared papers)Linjie Yang (1 shared paper)Ning Xu (1 shared paper)Zhou Ren (1 shared paper)
- Journals
- Advanced Drug Delivery Reviews (1 paper)RSC Advances (1 paper)Biomaterials Science (1 paper)Lecture notes in computer science (1 paper)IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (1 paper)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Jonghwan Mun
17 papers receiving 877 citations
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 687
- Pharmaceutical Science 80
- Molecular Medicine 26
- Artificial Intelligence 80
- Public Health, Environmental and Occupational Health 43
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 | 229 | |
| 2 | 2019 | 116 | |
| 3 | 2017 | 73 | |
| 4 | 2019 | 70 | |
| 5 | 2017 | 68 | |
| 6 | 2023 | 66 | |
| 7 | 2022 | 59 | |
| 8 | 2023 | 59 | |
| 9 | 2024 | 46 | |
| 10 | 2020 | 30 | |
| 11 | Learning to Specialize with Knowledge Distillation for Visual Question Answering | 2018 | 20 |
| 12 | 2022 | 17 | |
| 13 | 2023 | 11 | |
| 14 | 2023 | 11 | |
| 15 | 2023 | 10 | |
| 16 | 2019 | 8 | |
| 17 | 2024 | 2 |
About Jonghwan Mun
Jonghwan Mun is a scholar working on Computer Vision and Pattern Recognition, Pharmaceutical Science, Molecular Medicine, Public Health, Environmental and Occupational Health and Artificial Intelligence, having authored 17 papers that have together received 895 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (9 papers), Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Advanced Drug Delivery Systems (2 papers), Human Pose and Action Recognition (2 papers), Ocular Surface and Contact Lens (2 papers), Ophthalmology and Visual Impairment Studies (1 paper) and Video Analysis and Summarization (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (687 citations), Pharmaceutical Science (80 citations), Molecular Medicine (26 citations), Artificial Intelligence (80 citations) and Public Health, Environmental and Occupational Health (43 citations). Jonghwan Mun has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Bohyung Han, Minsu Cho, Byungseok Roh, Junbum Cha, Sei Kwang Hahn, Linjie Yang, Ning Xu, Zhou Ren, Paul Hongsuck Seo and Ilchae Jung. Their work appears in journals such as Advanced Drug Delivery Reviews, RSC Advances, Biomaterials Science, Lecture notes in computer science and IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
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.