Warren He
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
- Software top 10%
- Software Testing and Debugging Techniques
Papers in
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- Blockchain Technology Applications and Security 2
- Web Application Security Vulnerabilities 2
- Spam and Phishing Detection 1
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- Security and Verification in Computing 4
- Cryptography and Data Security 2
- Internet Traffic Analysis and Secure E-voting 2
- Co-authors
- Devdatta Akhawe (5 shared papers)David Wagner (1 shared paper)Erika Chin (1 shared paper)Elaine Shi (1 shared paper)Dawn Song (1 shared paper)Dawn Song (3 shared papers)Frank Li (1 shared paper)Reza Moazzezi (1 shared paper)
- Journals
- IEEE Security & Privacy (1 paper)Lecture notes in computer science (1 paper)UC Berkeley (1 paper)IEEE Conference Proceedings (1 paper)Proceedings on Privacy Enhancing Technologies (1 paper)
- Partner nations
- United StatesSingapore
In The Last Decade
Warren He
8 papers receiving 192 citations
Peers
Comparison fields: 5 of 20
- Signal Processing 105
- Software 31
- Information Systems 143
- Artificial Intelligence 125
- Computer Networks and Communications 37
Countries citing papers authored by Warren He
This map shows the geographic impact of Warren He'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 Warren He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Warren He more than expected).
Fields of papers citing papers by Warren He
This network shows the impact of papers produced by Warren He. 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 Warren He. The network helps show where Warren He may publish in the future.
Co-authors
The 21 scholars most cited alongside Warren He, 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 | 2014 | 63 | |
| 2 | 2012 | 57 | |
| 3 | 2013 | 25 | |
| 4 | 2020 | 25 | |
| 5 | Clickjacking revisited: a perceptual view of UI security | 2014 | 23 |
| 6 | 2018 | 7 | |
| 7 | ASPIRE: iterative specification synthesis for security | 2015 | 3 |
| 8 | Ekiden: A Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contracts | 2019 | 1 |
About Warren He
Warren He is a scholar working on Information Systems, Artificial Intelligence, Signal Processing, Software and Sociology and Political Science, having authored 8 papers that have together received 204 indexed citations. Recurring topics across this work include Security and Verification in Computing (4 papers), Advanced Malware Detection Techniques (4 papers), Software Testing and Debugging Techniques (2 papers), Cryptography and Data Security (2 papers), Blockchain Technology Applications and Security (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Web Application Security Vulnerabilities (2 papers) and Spam and Phishing Detection (1 paper). The work is most often cited by research in Signal Processing (105 citations), Software (31 citations), Information Systems (143 citations), Artificial Intelligence (125 citations) and Computer Networks and Communications (37 citations). Warren He has collaborated with scholars based in United States and Singapore. Frequent co-authors include Devdatta Akhawe, David Wagner, Erika Chin, Elaine Shi, Dawn Song, Dawn Song, Dawn Song, Frank Li, Reza Moazzezi and Prateek Saxena. Their work appears in journals such as IEEE Security & Privacy, Lecture notes in computer science, UC Berkeley, IEEE Conference Proceedings and Proceedings on Privacy Enhancing Technologies.
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.