Chu-Pan Wong
- Software top 2%
- Software Testing and Debugging Techniques 7
- Software Reliability and Analysis Research 5
- Information Systems top 2%
- Software Engineering Research 8
- Software Engineering Techniques and Practices 1
- Signal Processing top 10%
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- Software System Performance and Reliability 3
- Artificial Intelligence top 10%
- Advanced Software Engineering Methodologies 3
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- Polynomial and algebraic computation 1
- Formal Methods in Verification 1
- Co-authors
- Christian KästnerJens MeinickeLu ZhangDan HaoHong MeiHongyu ZhangYingfei XiongClaire Le Goues
- Journals
- IEEE Transactions on Computers (1 paper)Proceedings of the ACM on Programming Languages (1 paper)Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University) (1 paper)
- Partner nations
- United StatesGermanySingapore
In The Last Decade
Chu-Pan Wong
10 papers receiving 321 citations
Peers
Comparison fields: 5 of 22
- Software 238
- Information Systems 284
- Signal Processing 64
- Computer Networks and Communications 83
- Artificial Intelligence 95
Countries citing papers authored by Chu-Pan Wong
This map shows the geographic impact of Chu-Pan Wong'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 Chu-Pan Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chu-Pan Wong more than expected).
Fields of papers citing papers by Chu-Pan Wong
This network shows the impact of papers produced by Chu-Pan Wong. 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 Chu-Pan Wong. The network helps show where Chu-Pan Wong may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Chu-Pan Wong, 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 | 2021 | 30 | |
| 2 | 2021 | 3 | |
| 3 | 2020 | 18 | |
| 4 | 2018 | 23 | |
| 5 | 2018 | 9 | |
| 6 | 2017 | 8 | |
| 7 | 2016 | 30 | |
| 8 | 2016 | 62 | |
| 9 | 2014 | 142 | |
| 10 | 2000 | 2 |
About Chu-Pan Wong
Chu-Pan Wong is a scholar working on Software, Information Systems and Computer Networks and Communications, having authored 10 papers that have together received 327 indexed citations. Recurring topics across this work include Software Engineering Research (8 papers), Software Testing and Debugging Techniques (7 papers), Software Reliability and Analysis Research (5 papers), Software System Performance and Reliability (3 papers), Advanced Software Engineering Methodologies (3 papers), Polynomial and algebraic computation (1 paper), Software Engineering Techniques and Practices (1 paper) and Formal Methods in Verification (1 paper). The work is most often cited by research in Software (238 citations), Information Systems (284 citations) and Signal Processing (64 citations). Chu-Pan Wong has collaborated with scholars based in United States, Germany and Singapore. Frequent co-authors include Christian Kästner, Jens Meinicke, Lu Zhang, Dan Hao, Hong Mei, Hongyu Zhang, Yingfei Xiong, Claire Le Goues, Gunter Saake and Thomas Thüm. Their work appears in journals such as IEEE Transactions on Computers, Proceedings of the ACM on Programming Languages and Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University).
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.