Guoxun Wang
Impact in
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- Multi-Criteria Decision Making
- Software top 5%
- Software Reliability and Analysis Research
Papers in
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- Advanced Numerical Analysis Techniques 3
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- Imbalanced Data Classification Techniques 3
- Co-authors
- Yi Peng (4 shared papers)Gang Kou (3 shared papers)Yong Shi (3 shared papers)Wenshuai Wu (1 shared paper)Honggang Wang (1 shared paper)Li Li (1 shared paper)Jun Wang (1 shared paper)Xingshan Li (3 shared papers)
- Journals
- The International Journal of Advanced Manufacturing Technology (3 papers)International Journal of Precision Engineering and Manufacturing (1 paper)International Journal of Information Technology & Decision Making (1 paper)Omega (1 paper)Information Sciences (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Guoxun Wang
7 papers receiving 439 citations
Peers
Comparison fields: 5 of 73
- Management Science and Operations Research 232
- Software 57
- Information Systems 101
- Ecological Modeling 18
- Management of Technology and Innovation 29
Countries citing papers authored by Guoxun Wang
This map shows the geographic impact of Guoxun 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 Guoxun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoxun Wang more than expected).
Fields of papers citing papers by Guoxun Wang
This network shows the impact of papers produced by Guoxun 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 Guoxun Wang. The network helps show where Guoxun Wang may publish in the future.
Co-authors
The 11 scholars most cited alongside Guoxun Wang, 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 | 2011 | 182 | |
| 2 | 2011 | 154 | |
| 3 | 2010 | 83 | |
| 4 | 2016 | 13 | |
| 5 | 2010 | 11 | |
| 6 | 2023 | 4 | |
| 7 | 2022 | 3 | |
| 8 | 2024 | 0 |
About Guoxun Wang
Guoxun Wang is a scholar working on Computational Mechanics, Artificial Intelligence, Mechanical Engineering, Information Systems and Management Science and Operations Research, having authored 8 papers that have together received 450 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (3 papers), Advanced Numerical Analysis Techniques (3 papers), Software Reliability and Analysis Research (2 papers), Software Engineering Research (2 papers), Multi-Criteria Decision Making (2 papers), Advanced machining processes and optimization (2 papers), Tribology and Lubrication Engineering (2 papers) and Advanced Statistical Methods and Models (1 paper). The work is most often cited by research in Management Science and Operations Research (232 citations), Software (57 citations), Information Systems (101 citations), Ecological Modeling (18 citations) and Management of Technology and Innovation (29 citations). Guoxun Wang has collaborated with scholars based in China and United States. Frequent co-authors include Yi Peng, Gang Kou, Yong Shi, Wenshuai Wu, Honggang Wang, Li Li, Jun Wang, Xingshan Li, Youyuan Li and Yu Shi. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, International Journal of Precision Engineering and Manufacturing, International Journal of Information Technology & Decision Making, Omega and Information Sciences.
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.