David Lie
Impact in
- Software top 0.5%
- Software Testing and Debugging Techniques
- Signal Processing top 0.5%
- Advanced Malware Detection Techniques
Papers in
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- Security and Verification in Computing 36
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- Advanced Malware Detection Techniques 30
- Co-authors
- Zhen Huang (5 shared papers)Lionel Litty (8 shared papers)Yi Zhou (2 shared papers)Chandramohan A. Thekkath (6 shared papers)Mark Horowitz (6 shared papers)H. Andrés Lagar-Cavilla (2 shared papers)Hengrui Jia (1 shared paper)Varun Chandrasekaran (1 shared paper)
- Journals
- ACM Computing Surveys (3 papers)ACM SIGPLAN Notices (2 papers)IEEE Security & Privacy (1 paper)Surveillance & Society (1 paper)Mechanism and Machine Theory (1 paper)
- Partner nations
- CanadaUnited StatesTaiwan
In The Last Decade
David Lie
66 papers receiving 2.1k citations
David Lie's Hit Papers
Peers
Comparison fields: 5 of 70
- Software 544
- Signal Processing 1.2k
- Information Systems 1.1k
- Artificial Intelligence 1.2k
- Hardware and Architecture 258
Countries citing papers authored by David Lie
This map shows the geographic impact of David Lie'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 David Lie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Lie more than expected).
Fields of papers citing papers by David Lie
This network shows the impact of papers produced by David Lie. 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 David Lie. The network helps show where David Lie may publish in the future.
Co-authors
The 25 scholars most cited alongside David Lie, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | PScout Hit paper breakdown → | 2012 | 477 |
| 2 | Machine Unlearning Hit paper breakdown → | 2021 | 285 |
| 3 | 2016 | 154 | |
| 4 | Hypervisor support for identifying covertly executing binaries | 2008 | 135 |
| 5 | 2006 | 119 | |
| 6 | 2003 | 112 | |
| 7 | 2000 | 92 | |
| 8 | 2010 | 67 | |
| 9 | 2004 | 56 | |
| 10 | 2007 | 52 | |
| 11 | 2019 | 49 | |
| 12 | 2015 | 47 | |
| 13 | 2004 | 45 | |
| 14 | 2006 | 45 | |
| 15 | 2003 | 42 | |
| 16 | Dude, where’s that IP?: circumventing measurement-based IP geolocation | 2010 | 38 |
| 17 | 2006 | 38 | |
| 18 | 2011 | 38 | |
| 19 | 2001 | 29 | |
| 20 | Tackling runtime-based obfuscation in Android with {TIRO} | 2018 | 25 |
About David Lie
David Lie is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Computer Networks and Communications and Software, having authored 66 papers that have together received 2.3k indexed citations. Recurring topics across this work include Security and Verification in Computing (36 papers), Advanced Malware Detection Techniques (30 papers), Software Testing and Debugging Techniques (13 papers), Cloud Data Security Solutions (10 papers), Distributed systems and fault tolerance (9 papers), Radiation Effects in Electronics (9 papers), Software Reliability and Analysis Research (8 papers) and Network Security and Intrusion Detection (8 papers). The work is most often cited by research in Software (544 citations), Signal Processing (1.2k citations), Information Systems (1.1k citations), Artificial Intelligence (1.2k citations) and Hardware and Architecture (258 citations). David Lie has collaborated with scholars based in Canada, United States and Taiwan. Frequent co-authors include Zhen Huang, Lionel Litty, Yi Zhou, Chandramohan A. Thekkath, Mark Horowitz, H. Andrés Lagar-Cavilla, Hengrui Jia, Varun Chandrasekaran, Christopher A. Choquette-Choo and Baiwu Zhang. Their work appears in journals such as ACM Computing Surveys, ACM SIGPLAN Notices, IEEE Security & Privacy, Surveillance & Society and Mechanism and Machine Theory.
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.