Shawn Shan

10 papers and 551 indexed citations i.

About

Shawn Shan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Shawn Shan has authored 10 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Signal Processing. Recurrent topics in Shawn Shan’s work include Adversarial Robustness in Machine Learning (6 papers), Advanced Malware Detection Techniques (4 papers) and Anomaly Detection Techniques and Applications (3 papers). Shawn Shan is often cited by papers focused on Adversarial Robustness in Machine Learning (6 papers), Advanced Malware Detection Techniques (4 papers) and Anomaly Detection Techniques and Applications (3 papers). Shawn Shan collaborates with scholars based in United States, India and Israel. Shawn Shan's co-authors include Ben Y. Zhao, Hai-Tao Zheng, Bolun Wang, Bimal Viswanath, Yuanshun Yao, Huiying Li, Emily Wenger, Blase Ur, Mainack Mondal and Michelle L. Mazurek and has published in prestigious journals such as USENIX Security Symposium, arXiv (Cornell University) and Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security.

In The Last Decade

Co-authorship network of co-authors of Shawn Shan i

Fields of papers citing papers by Shawn Shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shawn Shan. 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 Shawn Shan. The network helps show where Shawn Shan may publish in the future.

Countries citing papers authored by Shawn Shan

Since Specialization
Citations

This map shows the geographic impact of Shawn Shan'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 Shawn Shan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shawn Shan more than expected).

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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2025