Shaowei Wang

634 citations
20 papers · 381 · h-index 12

Impact in

Papers in

Shaowei Wang

20 papers receiving 376 citations

Peers

Shaowei Wang
Comparison fields: 5 of 94
  • Software 74
  • Computer Science Applications 61
  • Information Systems 220
  • Computer Networks and Communications 83
  • Artificial Intelligence 113
Replace Roberta Fagundes with:
Roberta Fagundes Brazil
Katsuro Inoue Japan
Sridhar Chimalakonda India
Rawan Ghnemat Jordan
Robbert Jongeling Sweden
Ian McChesney United Kingdom
Heba Abdel-Nabi Jordan
Vu Nguyen Vietnam
Arghavan Moradi Dakhel Canada
Jieshan Chen Australia
Shaowei Wang relative to Roberta Fagundes Brazil Roberta Fagundes's profile →
Citations per field
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Roberta Fagundes · 1×
Citations per year

Countries citing papers authored by Shaowei Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Shaowei Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shaowei Wang Line = papers co-authored together Shaowei Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202181
2 201836
3 201835
4 201434
5 202132
6 201928
7 201918
8 202117
9 202017
10 201115
11 202313
12 202112
13 20219
14 20247
15 20216
16 20216
17 20205
18 20134
19 20224
20 20242

About Shaowei Wang

Shaowei Wang is a scholar working on Information Systems, Artificial Intelligence, Software, Computer Networks and Communications and Computer Science Applications, having authored 20 papers that have together received 381 indexed citations. Recurring topics across this work include Software Engineering Research (14 papers), Software System Performance and Reliability (5 papers), Expert finding and Q&A systems (3 papers), Software Reliability and Analysis Research (3 papers), Software Testing and Debugging Techniques (3 papers), Mobile Crowdsensing and Crowdsourcing (3 papers), Software Engineering Techniques and Practices (3 papers) and Advanced Software Engineering Methodologies (2 papers). The work is most often cited by research in Software (74 citations), Computer Science Applications (61 citations), Information Systems (220 citations), Computer Networks and Communications (83 citations) and Artificial Intelligence (113 citations). Shaowei Wang has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Ahmed E. Hassan, Tse-Hsun Chen, Yasutaka Kamei, Gopi Krishnan Rajbahadur, Gustavo A. Oliva, Haoxiang Zhang, Cor‐Paul Bezemer, Rui‐tian Liu, Peng‐xin Xu and Yajing Su. Their work appears in journals such as IEEE Transactions on Software Engineering, Empirical Software Engineering, ACM Transactions on Software Engineering and Methodology, Analytical Methods and Soft Computing.

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.

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