Wonjun Hwang
Impact in
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- Face and Expression Recognition
- Face recognition and analysis
- Multimodal Machine Learning Applications
- Signal Processing top 5%
- Biometric Identification and Security
Papers in
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- Face and Expression Recognition 26
- Face recognition and analysis 18
- Advanced Neural Network Applications 12
- Advanced Image and Video Retrieval Techniques 9
- Image Retrieval and Classification Techniques 9
- Multimodal Machine Learning Applications 7
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- Biometric Identification and Security 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)Van Hiep Nguyen (4 shared papers)Sanghee Nam (4 shared papers)Rassoul Tabassian (4 shared papers)Il‐Kwon Oh (4 shared papers)
- Journals
- Pattern Recognition (4 papers)Electronics Letters (4 papers)Sensors (3 papers)Multimedia Tools and Applications (3 papers)Advanced Materials (2 papers)
- Partner nations
- South KoreaUnited KingdomChina
In The Last Decade
Wonjun Hwang
69 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 102
- Computer Vision and Pattern Recognition 557
- Signal Processing 133
- Periodontics 39
- Artificial Intelligence 252
- Biomedical Engineering 306
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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 191 | |
| 2 | 2021 | 168 | |
| 3 | 2020 | 84 | |
| 4 | 2021 | 81 | |
| 5 | 2022 | 59 | |
| 6 | 2005 | 53 | |
| 7 | 2010 | 47 | |
| 8 | 2017 | 46 | |
| 9 | 2006 | 44 | |
| 10 | 2022 | 43 | |
| 11 | 2014 | 43 | |
| 12 | 2004 | 36 | |
| 13 | 2022 | 32 | |
| 14 | 2018 | 27 | |
| 15 | 2018 | 22 | |
| 16 | 2019 | 22 | |
| 17 | 2021 | 20 | |
| 18 | 2023 | 20 | |
| 19 | 2018 | 19 | |
| 20 | 2022 | 18 |
About Wonjun Hwang
Wonjun Hwang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Electrical and Electronic Engineering and Biomedical Engineering, having authored 76 papers that have together received 1.3k indexed citations. Recurring topics across this work include Face and Expression Recognition (26 papers), Face recognition and analysis (18 papers), Advanced Neural Network Applications (12 papers), Advanced Image and Video Retrieval Techniques (9 papers), Image Retrieval and Classification Techniques (9 papers), Biometric Identification and Security (8 papers), Domain Adaptation and Few-Shot Learning (8 papers) and Multimodal Machine Learning Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (557 citations), Signal Processing (133 citations), Periodontics (39 citations), Artificial Intelligence (252 citations) and Biomedical Engineering (306 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, Van Hiep Nguyen, Sanghee Nam, Rassoul Tabassian, Il‐Kwon Oh, Saewoong Oh and Manmatha Mahato. Their work appears in journals such as Pattern Recognition, Electronics Letters, Sensors, Multimedia Tools and Applications and Advanced Materials.
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.