Bow-Yaw Wang
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 10%
- Software top 10%
- Information Systems
- Signal Processing
- Co-authors
- Ming-Hsien TsaiBo‐Yin YangFei HeYu‐Fang ChenChang-Hong HsuPeter SchwabeCarl A. GunterLijun Zhang
- Topics
- Formal Methods in Verification (11 papers)Software Testing and Debugging Techniques (9 papers)Logic, programming, and type systems (6 papers)
- Journals
- ACM SIGPLAN NoticesACM Transactions on Software Engineering and MethodologyJournal of Automated Reasoning
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Bow-Yaw Wang
22 papers receiving 117 citations
Peers
Comparison fields: 5 of 15
- Artificial Intelligence 95
- Computational Theory and Mathematics 47
- Software 46
- Information Systems 39
- Signal Processing 28
Countries citing papers authored by Bow-Yaw Wang
This map shows the geographic impact of Bow-Yaw Wang'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 Bow-Yaw Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bow-Yaw Wang more than expected).
Fields of papers citing papers by Bow-Yaw Wang
This network shows the impact of papers produced by Bow-Yaw Wang. 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 Bow-Yaw Wang. The network helps show where Bow-Yaw Wang may publish in the future.
Co-authorship network of co-authors of Bow-Yaw Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Bow-Yaw Wang. A scholar is included among the top collaborators of Bow-Yaw Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bow-Yaw Wang. Bow-Yaw Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 8 | |
| 12 | 6 | |
| 13 | 10 | |
| 14 | 0 | |
| 15 | 4 | |
| 16 | 5 | |
| 17 | 2 | |
| 18 | 4 | |
| 19 | Non-linear Interpolant Generation and Its Applications to Program Verification | 1 |
| 20 | 1 |
About Bow-Yaw Wang
Bow-Yaw Wang is a scholar working on Software, Computational Theory and Mathematics and Artificial Intelligence, having authored 25 papers that have together received 122 indexed citations. Recurring topics across this work include Formal Methods in Verification (11 papers), Software Testing and Debugging Techniques (9 papers) and Logic, programming, and type systems (6 papers). The work is most often cited by research in Software (46 citations), Artificial Intelligence (95 citations) and Computational Theory and Mathematics (47 citations). Bow-Yaw Wang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Ming-Hsien Tsai, Bo‐Yin Yang, Fei He, Yu‐Fang Chen, Chang-Hong Hsu, Peter Schwabe, Carl A. Gunter, Lijun Zhang, Tevfik Bultan and Fang Yu. Their work appears in journals such as ACM SIGPLAN Notices, ACM Transactions on Software Engineering and Methodology and Journal of Automated Reasoning.
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.