Uiwon Hwang
Impact in
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- Generative Adversarial Networks and Image Synthesis
- Digital Media Forensic Detection
- Advanced Image Processing Techniques
- Advanced Neural Network Applications
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications
- Adversarial Robustness in Machine Learning
Papers in ⓘ
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- Music and Audio Processing 2
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- Generative Adversarial Networks and Image Synthesis 5
- Music Technology and Sound Studies 2
- Digital Media Forensic Detection 2
- Co-authors
- Sungroh Yoon (10 shared papers)Yongjun Hong (4 shared papers)Jaeyoon Yoo (3 shared papers)Jaewoo Park (1 shared paper)Nam Ik Cho (1 shared paper)Sung‐Woon Choi (1 shared paper)Yo-Han Kim (1 shared paper)Yunheung Paek (1 shared paper)
- Journals
- IEEE Access (2 papers)Artificial Intelligence in Medicine (1 paper)ACM Computing Surveys (1 paper)IEEE Transactions on Artificial Intelligence (1 paper)Journal of Mechanical Science and Technology (1 paper)
- Partner nations
- South KoreaPuerto RicoJapan
In The Last Decade
Uiwon Hwang
12 papers receiving 315 citations
Peers
Comparison fields: 5 of 78
- Computer Vision and Pattern Recognition 141
- Artificial Intelligence 146
- Signal Processing 47
- Media Technology 24
- Health Informatics 3
Countries citing papers authored by Uiwon Hwang
This map shows the geographic impact of Uiwon 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 Uiwon Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uiwon Hwang more than expected).
Fields of papers citing papers by Uiwon Hwang
This network shows the impact of papers produced by Uiwon 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 Uiwon Hwang. The network helps show where Uiwon Hwang may publish in the future.
Co-authors
The 16 scholars most cited alongside Uiwon 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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 214 | |
| 2 | 2019 | 39 | |
| 3 | How Generative Adversarial Networks and its variants Work: An Overview of GAN | 2017 | 17 |
| 4 | 2021 | 11 | |
| 5 | 2023 | 11 | |
| 6 | 2019 | 9 | |
| 7 | Disease Prediction from Electronic Health Records Using Generative Adversarial Networks. | 2017 | 8 |
| 8 | 2023 | 7 | |
| 9 | A SeqGAN for Polyphonic Music Generation. | 2017 | 4 |
| 10 | Memory-Augmented Neural Networks for Knowledge Tracing from the Perspective of Learning and Forgetting | 2018 | 4 |
| 11 | How Generative Adversarial Networks and Their Variants Work: An Overview of GAN | 2017 | 2 |
| 12 | 2024 | 1 | |
| 13 | 2024 | 0 |
About Uiwon Hwang
Uiwon Hwang is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Science Applications and Biophysics, having authored 13 papers that have together received 327 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (5 papers), Adversarial Robustness in Machine Learning (4 papers), Machine Learning in Healthcare (2 papers), AI in cancer detection (2 papers), Music Technology and Sound Studies (2 papers), Music and Audio Processing (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Digital Media Forensic Detection (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (141 citations), Artificial Intelligence (146 citations), Signal Processing (47 citations), Media Technology (24 citations) and Health Informatics (3 citations). Uiwon Hwang has collaborated with scholars based in South Korea, Puerto Rico and Japan. Frequent co-authors include Sungroh Yoon, Yongjun Hong, Jaeyoon Yoo, Jaewoo Park, Nam Ik Cho, Sung‐Woon Choi, Yo-Han Kim, Yunheung Paek, Ho Bae and Seonwoo Min. Their work appears in journals such as IEEE Access, Artificial Intelligence in Medicine, ACM Computing Surveys, IEEE Transactions on Artificial Intelligence and Journal of Mechanical Science and Technology.
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.