Alan Leung
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
Papers in
-
- Software Engineering Research 7
- Web Data Mining and Analysis 1
-
- Logic, programming, and type systems 4
- Co-authors
- Sorin Lerner (8 shared papers)John Sarracino (2 shared papers)Ondřej Lhoták (2 shared papers)Ross Tate (2 shared papers)Yuvraj Agarwal (2 shared papers)Rajesh K. Gupta (2 shared papers)Ranjit Jhala (2 shared papers)Manish Gupta (1 shared paper)
- Journals
- ACM SIGPLAN Notices (3 papers)Proceedings of the ACM on Programming Languages (2 papers)Science of Computer Programming (1 paper)
- Partner nations
- United StatesCanadaSingapore
In The Last Decade
Alan Leung
14 papers receiving 183 citations
Peers
Comparison fields: 5 of 22
- Software 76
- Hardware and Architecture 82
- Information Systems 92
- Artificial Intelligence 77
- Computer Networks and Communications 50
Countries citing papers authored by Alan Leung
This map shows the geographic impact of Alan Leung'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 Alan Leung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan Leung more than expected).
Fields of papers citing papers by Alan Leung
This network shows the impact of papers produced by Alan Leung. 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 Alan Leung. The network helps show where Alan Leung may publish in the future.
Co-authors
The 23 scholars most cited alongside Alan Leung, 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 | 2012 | 35 | |
| 2 | 2019 | 31 | |
| 3 | 2009 | 29 | |
| 4 | 2015 | 29 | |
| 5 | 2011 | 14 | |
| 6 | 2020 | 9 | |
| 7 | 2012 | 9 | |
| 8 | 2011 | 9 | |
| 9 | 2015 | 8 | |
| 10 | 2015 | 8 | |
| 11 | 2024 | 5 | |
| 12 | 2024 | 3 | |
| 13 | 2017 | 3 | |
| 14 | 2011 | 1 |
About Alan Leung
Alan Leung is a scholar working on Information Systems, Artificial Intelligence, Software, Hardware and Architecture and Computational Theory and Mathematics, having authored 14 papers that have together received 193 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (8 papers), Software Engineering Research (7 papers), Parallel Computing and Optimization Techniques (5 papers), Logic, programming, and type systems (4 papers), Embedded Systems Design Techniques (3 papers), Distributed and Parallel Computing Systems (2 papers), Formal Methods in Verification (2 papers) and Web Data Mining and Analysis (1 paper). The work is most often cited by research in Software (76 citations), Hardware and Architecture (82 citations), Information Systems (92 citations), Artificial Intelligence (77 citations) and Computer Networks and Communications (50 citations). Alan Leung has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include Sorin Lerner, John Sarracino, Ondřej Lhoták, Ross Tate, Yuvraj Agarwal, Rajesh K. Gupta, Ranjit Jhala, Manish Gupta, Ashish Tiwari and Arjun Radhakrishna. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages and Science of Computer Programming.
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.