David Lie
Impact in
- Software top 1%
- Software Testing and Debugging Techniques
- Signal Processing top 0.5%
- Advanced Malware Detection Techniques
Papers in
-
- Security and Verification in Computing 38
-
- Advanced Malware Detection Techniques 32
- Co-authors
- Zhen Huang (5 shared papers)Lionel Litty (8 shared papers)Yi Zhou (2 shared papers)Mark Horowitz (6 shared papers)Chandramohan A. Thekkath (6 shared papers)H. Andrés Lagar-Cavilla (2 shared papers)Nicolas Papernot (3 shared papers)Varun Chandrasekaran (1 shared paper)
- Journals
- ACM Computing Surveys (3 papers)ACM SIGPLAN Notices (2 papers)IEEE Transactions on Computers (1 paper)Mechanism and Machine Theory (1 paper)Surveillance & Society (1 paper)
- Partner nations
- CanadaUnited StatesIndonesia
In The Last Decade
David Lie
69 papers receiving 2.4k citations
David Lie's Hit Papers
Peers
Comparison fields: 5 of 75
- Software 610
- Signal Processing 1.4k
- Information Systems 1.2k
- Artificial Intelligence 1.4k
- Hardware and Architecture 291
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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | PScout Hit paper breakdown → | 2012 | 526 |
| 2 | Machine Unlearning Hit paper breakdown → | 2021 | 343 |
| 3 | 2016 | 168 | |
| 4 | Hypervisor support for identifying covertly executing binaries | 2008 | 166 |
| 5 | 2006 | 133 | |
| 6 | 2003 | 132 | |
| 7 | 2000 | 108 | |
| 8 | 2007 | 73 | |
| 9 | 2010 | 69 | |
| 10 | 2004 | 64 | |
| 11 | 2015 | 56 | |
| 12 | 2019 | 51 | |
| 13 | 2006 | 49 | |
| 14 | 2011 | 49 | |
| 15 | 2003 | 48 | |
| 16 | 2004 | 45 | |
| 17 | 2006 | 41 | |
| 18 | Dude, where’s that IP?: circumventing measurement-based IP geolocation | 2010 | 40 |
| 19 | 2001 | 32 | |
| 20 | Tackling runtime-based obfuscation in Android with {TIRO} | 2018 | 27 |
About David Lie
David Lie is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Computer Networks and Communications and Software, having authored 70 papers that have together received 2.6k indexed citations. Recurring topics across this work include Security and Verification in Computing (38 papers), Advanced Malware Detection Techniques (32 papers), Software Testing and Debugging Techniques (13 papers), Cloud Data Security Solutions (10 papers), Radiation Effects in Electronics (9 papers), Distributed systems and fault tolerance (9 papers), Network Security and Intrusion Detection (8 papers) and Software Reliability and Analysis Research (8 papers). The work is most often cited by research in Software (610 citations), Signal Processing (1.4k citations), Information Systems (1.2k citations), Artificial Intelligence (1.4k citations) and Hardware and Architecture (291 citations). David Lie has collaborated with scholars based in Canada, United States and Indonesia. Frequent co-authors include Zhen Huang, Lionel Litty, Yi Zhou, Mark Horowitz, Chandramohan A. Thekkath, H. Andrés Lagar-Cavilla, Nicolas Papernot, Varun Chandrasekaran, Baiwu Zhang and Hengrui Jia. Their work appears in journals such as ACM Computing Surveys, ACM SIGPLAN Notices, IEEE Transactions on Computers, Mechanism and Machine Theory and Surveillance & Society.
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.