Duc-Hiep Chu
Impact in
- Software top 2%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Information Systems top 0.5%
- Blockchain Technology Applications and Security
- Software Engineering Research
Papers in
-
- Parallel Computing and Optimization Techniques 5
- Embedded Systems Design Techniques 4
- Real-Time Systems Scheduling 3
-
- Formal Methods in Verification 6
- Co-authors
- Prateek Saxena (1 shared paper)Aquinas Hobor (1 shared paper)Loi Luu (1 shared paper)Joxan Jaffar (9 shared papers)Xuan-Bach D. Le (2 shared papers)Willem Visser (2 shared papers)David Lo (2 shared papers)Claire Le Goues (2 shared papers)
- Journals
- ACM SIGPLAN Notices (2 papers)Proceedings of the ACM on Programming Languages (1 paper)International Conference on Lightning Protection (1 paper)National University of Singapore (1 paper)
- Partner nations
- SingaporeSouth AfricaAustria
In The Last Decade
Duc-Hiep Chu
12 papers receiving 1.5k citations
Duc-Hiep Chu's Hit Papers
Peers
Comparison fields: 5 of 58
- Software 252
- Information Systems 1.4k
- Signal Processing 373
- Management Information Systems 231
- Artificial Intelligence 496
Countries citing papers authored by Duc-Hiep Chu
This map shows the geographic impact of Duc-Hiep Chu'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 Duc-Hiep Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duc-Hiep Chu more than expected).
Fields of papers citing papers by Duc-Hiep Chu
This network shows the impact of papers produced by Duc-Hiep Chu. 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 Duc-Hiep Chu. The network helps show where Duc-Hiep Chu may publish in the future.
Co-authors
The 8 scholars most cited alongside Duc-Hiep Chu, 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 | Making Smart Contracts Smarter Hit paper breakdown → | 2016 | 1256 |
| 2 | 2017 | 140 | |
| 3 | 2014 | 63 | |
| 4 | 2017 | 55 | |
| 5 | 2015 | 15 | |
| 6 | 2016 | 15 | |
| 7 | 2011 | 13 | |
| 8 | 2016 | 4 | |
| 9 | 2016 | 3 | |
| 10 | 2020 | 3 | |
| 11 | 2013 | 1 | |
| 12 | SWIFT: A New Symbolic Processor. | 1988 | 1 |
| 13 | 2015 | 1 |
About Duc-Hiep Chu
Duc-Hiep Chu is a scholar working on Hardware and Architecture, Computational Theory and Mathematics, Software, Information Systems and Artificial Intelligence, having authored 13 papers that have together received 1.6k indexed citations. Recurring topics across this work include Formal Methods in Verification (6 papers), Software Testing and Debugging Techniques (6 papers), Parallel Computing and Optimization Techniques (5 papers), Embedded Systems Design Techniques (4 papers), Real-Time Systems Scheduling (3 papers), Security and Verification in Computing (3 papers), Software Engineering Research (2 papers) and Software Reliability and Analysis Research (2 papers). The work is most often cited by research in Software (252 citations), Information Systems (1.4k citations), Signal Processing (373 citations), Management Information Systems (231 citations) and Artificial Intelligence (496 citations). Duc-Hiep Chu has collaborated with scholars based in Singapore, South Africa and Austria. Frequent co-authors include Prateek Saxena, Aquinas Hobor, Loi Luu, Joxan Jaffar, Xuan-Bach D. Le, Willem Visser, David Lo and Claire Le Goues. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages, International Conference on Lightning Protection and National University of Singapore.
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.