Simon S. Woo
Impact in
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- Digital Media Forensic Detection
- Generative Adversarial Networks and Image Synthesis
- Face recognition and analysis
- Advanced Image Processing Techniques
- Computational Mathematics top 10%
Papers in
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- Generative Adversarial Networks and Image Synthesis 30
- Digital Media Forensic Detection 27
- Face recognition and analysis 17
- Advanced Neural Network Applications 11
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- Anomaly Detection Techniques and Applications 18
- Adversarial Robustness in Machine Learning 18
- Co-authors
- Shahroz Tariq (22 shared papers)Sang Yup Lee (10 shared papers)Youjin Shin (10 shared papers)Minha Kim (2 shared papers)Jelena Mirković (9 shared papers)Daewon Chung (4 shared papers)Huy Kang Kim (1 shared paper)Hyoungshick Kim (10 shared papers)
- Journals
- IEEE Access (7 papers)Computers & Security (4 papers)IEEE Transactions on Dependable and Secure Computing (2 papers)Data Mining and Knowledge Discovery (2 papers)Pattern Recognition Letters (2 papers)
- Partner nations
- South KoreaUnited StatesAustralia
In The Last Decade
Simon S. Woo
115 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 109
- Computer Vision and Pattern Recognition 642
- Computational Mathematics 16
- Signal Processing 289
- Artificial Intelligence 544
- Computer Networks and Communications 292
Countries citing papers authored by Simon S. Woo
This map shows the geographic impact of Simon S. Woo'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 Simon S. Woo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon S. Woo more than expected).
Fields of papers citing papers by Simon S. Woo
This network shows the impact of papers produced by Simon S. Woo. 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 Simon S. Woo. The network helps show where Simon S. Woo may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon S. Woo, 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 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 117 | |
| 2 | 2020 | 114 | |
| 3 | 2021 | 79 | |
| 4 | 2019 | 76 | |
| 5 | 2022 | 71 | |
| 6 | 2020 | 67 | |
| 7 | 2020 | 62 | |
| 8 | 2021 | 59 | |
| 9 | 2022 | 55 | |
| 10 | 2020 | 51 | |
| 11 | 2019 | 41 | |
| 12 | 2022 | 38 | |
| 13 | 2018 | 31 | |
| 14 | 2019 | 30 | |
| 15 | 2020 | 30 | |
| 16 | 2023 | 30 | |
| 17 | 2021 | 25 | |
| 18 | 2008 | 20 | |
| 19 | 2023 | 20 | |
| 20 | 2014 | 20 |
About Simon S. Woo
Simon S. Woo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Information Systems and Computer Networks and Communications, having authored 130 papers that have together received 1.5k indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (30 papers), Digital Media Forensic Detection (27 papers), Anomaly Detection Techniques and Applications (18 papers), Adversarial Robustness in Machine Learning (18 papers), Face recognition and analysis (17 papers), Advanced Malware Detection Techniques (16 papers), User Authentication and Security Systems (15 papers) and Advanced Neural Network Applications (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (642 citations), Computational Mathematics (16 citations), Signal Processing (289 citations), Artificial Intelligence (544 citations) and Computer Networks and Communications (292 citations). Simon S. Woo has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Shahroz Tariq, Sang Yup Lee, Youjin Shin, Minha Kim, Jelena Mirković, Daewon Chung, Huy Kang Kim, Hyoungshick Kim, Michael Cheng and Chris Kanich. Their work appears in journals such as IEEE Access, Computers & Security, IEEE Transactions on Dependable and Secure Computing, Data Mining and Knowledge Discovery and Pattern Recognition Letters.
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.