Shaowei Wang
- Information Systems top 0.5%
- Artificial Intelligence top 2%
- Software top 1%
- Computer Networks and Communications top 5%
- Computer Science Applications top 1%
- Co-authors
- David LoLingxiao JiangFerdian ThungAhmed E. HassanTse-Hsun ChenBogdan VasilescuAlexander SerebrenikHongyu Zhang
- Topics
- Software Engineering Research (35 papers)Software Reliability and Analysis Research (11 papers)Software Testing and Debugging Techniques (11 papers)
In The Last Decade
Shaowei Wang
54 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 81
- Information Systems 1.4k
- Artificial Intelligence 566
- Software 499
- Computer Networks and Communications 278
- Computer Science Applications 263
Countries citing papers authored by Shaowei Wang
This map shows the geographic impact of Shaowei 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 Shaowei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaowei Wang more than expected).
Fields of papers citing papers by Shaowei Wang
This network shows the impact of papers produced by Shaowei 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 Shaowei Wang. The network helps show where Shaowei Wang may publish in the future.
Co-authorship network of co-authors of Shaowei Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Shaowei Wang. A scholar is included among the top collaborators of Shaowei 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 Shaowei Wang. Shaowei 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 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 40 | |
| 10 | 7 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 0 | |
| 14 | 6 | |
| 15 | 184 | |
| 16 | 90 | |
| 17 | 52 | |
| 18 | 41 | |
| 19 | Automated Detection of Likely Design Flaws in Layered Architectures | 2 |
| 20 | Estimating Wet-Pavement Exposure with Historical Precipitation Data in California | 1 |
About Shaowei Wang
Shaowei Wang is a scholar working on Software, Computer Science Applications and Information Systems, having authored 57 papers that have together received 1.6k indexed citations. Recurring topics across this work include Software Engineering Research (35 papers), Software Reliability and Analysis Research (11 papers) and Software Testing and Debugging Techniques (11 papers). The work is most often cited by research in Software (499 citations), Information Systems (1.4k citations) and Computer Science Applications (263 citations). Shaowei Wang has collaborated with scholars based in Canada, Singapore and China. Frequent co-authors include David Lo, Lingxiao Jiang, Ferdian Thung, Ahmed E. Hassan, Tse-Hsun Chen, Bogdan Vasilescu, Alexander Serebrenik, Hongyu Zhang, Dongmei Zhang and Jianjun Zhao. Their work appears in journals such as IEEE Transactions on Software Engineering, Reliability Engineering & System Safety and The Journal of Steroid Biochemistry and Molecular Biology.
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.