Simon S. Woo

2.8k citations
130 papers · 1.5k · h-index 20

Impact in

Papers in

    • Generative Adversarial Networks and Image Synthesis 30
    • Digital Media Forensic Detection 27
    • Face recognition and analysis 17
    • Advanced Neural Network Applications 11
    • Anomaly Detection Techniques and Applications 18
    • Adversarial Robustness in Machine Learning 18

Simon S. Woo

115 papers receiving 1.4k citations

Peers

Simon S. Woo
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
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Xingang Liu China
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Aston Zhang United States
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Citations per field
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Citations per year

Countries citing papers authored by Simon S. Woo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Simon S. Woo Line = papers co-authored together Simon S. Woo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018117
2 2020114
3 202179
4 201976
5 202271
6 202067
7 202062
8 202159
9 202255
10 202051
11 201941
12 202238
13 201831
14 201930
15 202030
16 202330
17 202125
18 200820
19 202320
20 201420

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.

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