Shaohua Wang

1.9k total citations
69 papers, 1.1k citations indexed

About

Shaohua Wang is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, Shaohua Wang has authored 69 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Information Systems, 22 papers in Software and 17 papers in Artificial Intelligence. Recurrent topics in Shaohua Wang's work include Software Engineering Research (32 papers), Software Testing and Debugging Techniques (17 papers) and Software Reliability and Analysis Research (16 papers). Shaohua Wang is often cited by papers focused on Software Engineering Research (32 papers), Software Testing and Debugging Techniques (17 papers) and Software Reliability and Analysis Research (16 papers). Shaohua Wang collaborates with scholars based in United States, China and Canada. Shaohua Wang's co-authors include Yi Li, Tien N. Nguyen, Jiahao Fan, Ying Zou, Son Nguyen, Tien Nguyen, Foutse Khomh, Mingyao Ai, Qingwu Hu and Feng Zhang and has published in prestigious journals such as IEEE Transactions on Software Engineering, Remote Sensing and Journal of Systems and Software.

In The Last Decade

Shaohua Wang

60 papers receiving 1.1k citations

Peers

Shaohua Wang
Comparison fields: 5 of 70
  • Information Systems 722
  • Software 531
  • Signal Processing 269
  • Computer Networks and Communications 234
  • Artificial Intelligence 212
Replace Xiangyang Jia with:
Xiangyang Jia China
Ian Molloy United States
Gabriela Czibula Romania
Xiao Chen China
Rongxin Wu China
Yanhui Li China
William A. Wulf United States
Weifeng Pan China
Xiangyang Jia China View profile →
Citations per field, relative to Shaohua Wang
Shaohua Wang · 1×
Citations per year, relative to Shaohua Wang
Shaohua Wang · 1×

Countries citing papers authored by Shaohua Wang

Since Specialization
Citations

This map shows the geographic impact of Shaohua 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 Shaohua Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaohua Wang more than expected).

Fields of papers citing papers by Shaohua Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shaohua 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 Shaohua Wang. The network helps show where Shaohua Wang may publish in the future.

Co-authorship network of co-authors of Shaohua Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shaohua Wang. A scholar is included among the top collaborators of Shaohua 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 Shaohua Wang. Shaohua Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 0
4 0
5 0
6 15
7 5
8 1
9 5
10 1
11 2
12 2
13 5
14 131
15 18
16 3
17 4
18 4
19 3
20
Automatic Database Updating Mechanism in GIS
0

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026