Wang Guoxun
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)Yong Shi (3 shared papers)Gang Kou (3 shared papers)Wenshuai Wu (1 shared paper)Honggang Wang (1 shared paper)Jun Wang (1 shared paper)Li Li (1 shared paper)Yu Shi (1 shared paper)
- Journals
- The International Journal of Advanced Manufacturing Technology (3 papers)Information Sciences (1 paper)International Journal of Information Technology & Decision Making (1 paper)International Journal of Precision Engineering and Manufacturing (1 paper)Omega (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Wang Guoxun
7 papers receiving 434 citations
Peers
Comparison fields: 5 of 73
- Management Science and Operations Research 231
- Software 57
- Information Systems 101
- Ecological Modeling 18
- Management of Technology and Innovation 29
Countries citing papers authored by Wang Guoxun
This map shows the geographic impact of Wang Guoxun'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 Wang Guoxun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang Guoxun more than expected).
Fields of papers citing papers by Wang Guoxun
This network shows the impact of papers produced by Wang Guoxun. 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 Wang Guoxun. The network helps show where Wang Guoxun may publish in the future.
Co-authors
The 11 scholars most cited alongside Wang Guoxun, 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 | 81 | |
| 4 | 2016 | 13 | |
| 5 | 2010 | 11 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 2 | |
| 8 | 2024 | 0 |
About Wang Guoxun
Wang Guoxun 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 446 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (3 papers), Advanced Numerical Analysis Techniques (3 papers), Software Engineering Research (2 papers), Advanced machining processes and optimization (2 papers), Software Reliability and Analysis Research (2 papers), Multi-Criteria Decision Making (2 papers), Tribology and Lubrication Engineering (2 papers) and Maritime Navigation and Safety (1 paper). The work is most often cited by research in Management Science and Operations Research (231 citations), Software (57 citations), Information Systems (101 citations), Ecological Modeling (18 citations) and Management of Technology and Innovation (29 citations). Wang Guoxun has collaborated with scholars based in China and United States. Frequent co-authors include Yi Peng, Yong Shi, Gang Kou, Wenshuai Wu, Honggang Wang, Jun Wang, Li Li, Yu Shi, Youyuan Li and Xingshan Li. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, Information Sciences, International Journal of Information Technology & Decision Making, International Journal of Precision Engineering and Manufacturing and Omega.
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.