Vu Le
Impact in
- Software top 0.5%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
Papers in
-
- Software Engineering Research 16
- Software 17
- Software Testing and Debugging Techniques 15
- Software Reliability and Analysis Research 7
- Co-authors
- Zhendong Su (13 shared papers)C. P. Sun (7 shared papers)Sumit Gulwani (24 shared papers)Earl T. Barr (2 shared papers)Qirun Zhang (1 shared paper)Gustavo Soares (4 shared papers)Ashish Tiwari (4 shared papers)Benjamin G. Zorn (1 shared paper)
- Journals
- ACM SIGPLAN Notices (5 papers)Proceedings of the ACM on Programming Languages (5 papers)Proceedings of the VLDB Endowment (3 papers)Equine Veterinary Journal (1 paper)Journal of Software (1 paper)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Vu Le
34 papers receiving 1.4k citations
Vu Le's Hit Papers
Peers
Comparison fields: 5 of 60
- Software 922
- Hardware and Architecture 236
- Information Systems 760
- Signal Processing 256
- Artificial Intelligence 426
Countries citing papers authored by Vu Le
This map shows the geographic impact of Vu Le'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 Vu Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vu Le more than expected).
Fields of papers citing papers by Vu Le
This network shows the impact of papers produced by Vu Le. 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 Vu Le. The network helps show where Vu Le may publish in the future.
Co-authors
The 25 scholars most cited alongside Vu Le, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Compiler validation via equivalence modulo inputs Hit paper breakdown → | 2014 | 264 |
| 2 | 2014 | 148 | |
| 3 | 2014 | 130 | |
| 4 | 2016 | 110 | |
| 5 | 2015 | 110 | |
| 6 | 2016 | 81 | |
| 7 | 2013 | 67 | |
| 8 | 2013 | 60 | |
| 9 | 2015 | 58 | |
| 10 | 2016 | 53 | |
| 11 | 2015 | 52 | |
| 12 | 2015 | 43 | |
| 13 | 2014 | 40 | |
| 14 | 2019 | 30 | |
| 15 | 2016 | 20 | |
| 16 | 2024 | 15 | |
| 17 | 2021 | 15 | |
| 18 | 2013 | 15 | |
| 19 | 2019 | 14 | |
| 20 | 2023 | 13 |
About Vu Le
Vu Le is a scholar working on Information Systems, Software, Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include Software Engineering Research (16 papers), Software Testing and Debugging Techniques (15 papers), Software Reliability and Analysis Research (7 papers), Advanced Database Systems and Queries (6 papers), AI-based Problem Solving and Planning (4 papers), Parallel Computing and Optimization Techniques (4 papers), Semantic Web and Ontologies (4 papers) and Logic, programming, and type systems (4 papers). The work is most often cited by research in Software (922 citations), Hardware and Architecture (236 citations), Information Systems (760 citations), Signal Processing (256 citations) and Artificial Intelligence (426 citations). Vu Le has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Zhendong Su, C. P. Sun, Sumit Gulwani, Earl T. Barr, Qirun Zhang, Gustavo Soares, Ashish Tiwari, Benjamin G. Zorn, Arjun Radhakrishna and Maxim Grechkin. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages, Proceedings of the VLDB Endowment, Equine Veterinary Journal and Journal of Software.
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.