Stephen Chong
Impact in
- Signal Processing top 1%
- Advanced Malware Detection Techniques
- Artificial Intelligence top 1%
- Security and Verification in Computing
- Internet Traffic Analysis and Secure E-voting
- Cryptography and Data Security
- Logic, programming, and type systems
Papers in
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- Security and Verification in Computing 53
- Logic, programming, and type systems 11
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- Advanced Malware Detection Techniques 36
- Co-authors
- Andrew C. Myers (17 shared papers)Michael R. Clarkson (3 shared papers)K. Vikram (4 shared papers)Lantian Zheng (4 shared papers)Scott Moore (9 shared papers)Nathaniel Nystrom (2 shared papers)Xin Zheng (3 shared papers)Aslan Askarov (6 shared papers)
- Journals
- ACM SIGPLAN Notices (8 papers)Proceedings of the ACM on Programming Languages (4 papers)Journal of Data and Information Quality (1 paper)Nonlinear Analysis Hybrid Systems (1 paper)Communications of the ACM (1 paper)
- Partner nations
- United StatesCanadaDenmark
In The Last Decade
Stephen Chong
75 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 72
- Signal Processing 769
- Artificial Intelligence 1.6k
- Information Systems 874
- Computer Networks and Communications 692
- Software 118
Countries citing papers authored by Stephen Chong
This map shows the geographic impact of Stephen Chong'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 Stephen Chong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Chong more than expected).
Fields of papers citing papers by Stephen Chong
This network shows the impact of papers produced by Stephen Chong. 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 Stephen Chong. The network helps show where Stephen Chong may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Chong, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 275 | |
| 2 | 2007 | 193 | |
| 3 | 2013 | 113 | |
| 4 | 2004 | 113 | |
| 5 | SIF: enforcing confidentiality and integrity in web applications | 2007 | 112 |
| 6 | 2004 | 92 | |
| 7 | 2004 | 87 | |
| 8 | 2009 | 78 | |
| 9 | 2006 | 75 | |
| 10 | 2013 | 54 | |
| 11 | 2005 | 50 | |
| 12 | 2013 | 50 | |
| 13 | 2006 | 36 | |
| 14 | 2007 | 32 | |
| 15 | 2012 | 32 | |
| 16 | 2015 | 30 | |
| 17 | 2011 | 29 | |
| 18 | 2008 | 25 | |
| 19 | 2009 | 25 | |
| 20 | 2003 | 25 |
About Stephen Chong
Stephen Chong is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Computer Networks and Communications and Hardware and Architecture, having authored 79 papers that have together received 2.0k indexed citations. Recurring topics across this work include Security and Verification in Computing (53 papers), Advanced Malware Detection Techniques (36 papers), Distributed systems and fault tolerance (12 papers), Cloud Data Security Solutions (12 papers), Logic, programming, and type systems (11 papers), Web Application Security Vulnerabilities (11 papers), Access Control and Trust (9 papers) and Network Security and Intrusion Detection (8 papers). The work is most often cited by research in Signal Processing (769 citations), Artificial Intelligence (1.6k citations), Information Systems (874 citations), Computer Networks and Communications (692 citations) and Software (118 citations). Stephen Chong has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include Andrew C. Myers, Michael R. Clarkson, K. Vikram, Lantian Zheng, Scott Moore, Nathaniel Nystrom, Xin Zheng, Aslan Askarov, Benjamin Livshits and Xin Qi. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages, Journal of Data and Information Quality, Nonlinear Analysis Hybrid Systems and Communications of the ACM.
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.