Wonjun Hwang
Impact in
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- Face and Expression Recognition
- Advanced Neural Network Applications
- Face recognition and analysis
- Human Pose and Action Recognition
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
Papers in
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- Face and Expression Recognition 18
- Advanced Neural Network Applications 13
- Face recognition and analysis 10
- Human Pose and Action Recognition 2
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- Domain Adaptation and Few-Shot Learning 8
- Co-authors
- Jaemin Na (9 shared papers)Hyung Jin Chang (5 shared papers)Heechul Jung (3 shared papers)Soo‐Chul Lim (5 shared papers)Seok-Cheol Kee (8 shared papers)Josef Kittler (4 shared papers)Tae‐Kyun Kim (4 shared papers)Hyunwoo Kim (3 shared papers)
- Journals
- Electronics Letters (4 papers)Pattern Recognition (4 papers)Sensors (3 papers)Image and Vision Computing (2 papers)IEEE Transactions on Image Processing (2 papers)
- Partner nations
- South KoreaUnited KingdomChina
In The Last Decade
Wonjun Hwang
53 papers receiving 955 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 486
- Artificial Intelligence 246
- Control and Systems Engineering 94
- Biomedical Engineering 93
- Human-Computer Interaction 17
Countries citing papers authored by Wonjun Hwang
This map shows the geographic impact of Wonjun Hwang'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 Wonjun Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wonjun Hwang more than expected).
Fields of papers citing papers by Wonjun Hwang
This network shows the impact of papers produced by Wonjun Hwang. 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 Wonjun Hwang. The network helps show where Wonjun Hwang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wonjun Hwang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 182 | |
| 2 | 2021 | 92 | |
| 3 | 2020 | 86 | |
| 4 | 2005 | 53 | |
| 5 | 2017 | 50 | |
| 6 | 2010 | 46 | |
| 7 | 2006 | 45 | |
| 8 | 2014 | 44 | |
| 9 | 2022 | 36 | |
| 10 | 2004 | 35 | |
| 11 | 2018 | 29 | |
| 12 | 2023 | 27 | |
| 13 | 2018 | 24 | |
| 14 | 2019 | 23 | |
| 15 | 2021 | 23 | |
| 16 | 2018 | 22 | |
| 17 | 2003 | 18 | |
| 18 | 2019 | 17 | |
| 19 | 2022 | 17 | |
| 20 | 2011 | 13 |
About Wonjun Hwang
Wonjun Hwang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Mechanical Engineering and Cardiology and Cardiovascular Medicine, having authored 56 papers that have together received 984 indexed citations. Recurring topics across this work include Face and Expression Recognition (18 papers), Advanced Neural Network Applications (13 papers), Face recognition and analysis (10 papers), Domain Adaptation and Few-Shot Learning (8 papers), Robot Manipulation and Learning (5 papers), Teleoperation and Haptic Systems (4 papers), Human Pose and Action Recognition (2 papers) and ECG Monitoring and Analysis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (486 citations), Artificial Intelligence (246 citations), Control and Systems Engineering (94 citations), Biomedical Engineering (93 citations) and Human-Computer Interaction (17 citations). Wonjun Hwang has collaborated with scholars based in South Korea, United Kingdom and China. Frequent co-authors include Jaemin Na, Hyung Jin Chang, Heechul Jung, Soo‐Chul Lim, Seok-Cheol Kee, Josef Kittler, Tae‐Kyun Kim, Hyunwoo Kim, Junmo Kim and Jae‐Joon Han. Their work appears in journals such as Electronics Letters, Pattern Recognition, Sensors, Image and Vision Computing and IEEE Transactions on Image Processing.
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.