Jun Ping Wang
Impact in
- Computational Mechanics top 1%
- Advanced Numerical Methods in Computational Mathematics
- Computational Fluid Dynamics and Aerodynamics
- Numerical Analysis top 5%
- Numerical methods for differential equations
- Differential Equations and Numerical Methods
Papers in
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- Artificial Intelligence in Games 2
- Reinforcement Learning in Robotics 2
-
- Advanced Numerical Methods in Computational Mathematics 5
- Co-authors
- Jim Douglas (1 shared paper)Joseph E. Pasciak (2 shared papers)James H. Bramble (2 shared papers)Jinchao Xu (1 shared paper)Ricardo G. Durán (1 shared paper)Ricardo H. Nochetto (1 shared paper)Wensheng Zhang (2 shared papers)Ian Thomas (2 shared papers)
- Journals
- Mathematics of Computation (5 papers)IEEE Transactions on Industrial Informatics (2 papers)IEEE Internet of Things Journal (1 paper)Biology (1 paper)IEEE Transactions on Reliability (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Jun Ping Wang
19 papers receiving 722 citations
Peers
Comparison fields: 5 of 69
- Computational Mechanics 651
- Numerical Analysis 127
- Computational Theory and Mathematics 323
- Mechanics of Materials 285
- Software 25
Countries citing papers authored by Jun Ping Wang
This map shows the geographic impact of Jun Ping 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 Jun Ping Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ping Wang more than expected).
Fields of papers citing papers by Jun Ping Wang
This network shows the impact of papers produced by Jun Ping 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 Jun Ping Wang. The network helps show where Jun Ping Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ping 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
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 276 | |
| 2 | 1991 | 180 | |
| 3 | 1991 | 170 | |
| 4 | 2019 | 45 | |
| 5 | 2016 | 40 | |
| 6 | 1991 | 38 | |
| 7 | 1988 | 29 | |
| 8 | 2010 | 22 | |
| 9 | 2020 | 8 | |
| 10 | 2010 | 8 | |
| 11 | 2018 | 7 | |
| 12 | 2023 | 5 | |
| 13 | 2014 | 4 | |
| 14 | 2013 | 3 | |
| 15 | 2012 | 2 | |
| 16 | 2013 | 2 | |
| 17 | 2010 | 1 | |
| 18 | 2014 | 1 | |
| 19 | 2013 | 1 | |
| 20 | 2013 | 1 |
About Jun Ping Wang
Jun Ping Wang is a scholar working on Artificial Intelligence, Computational Mechanics, Computer Networks and Communications, Control and Systems Engineering and Mechanics of Materials, having authored 24 papers that have together received 843 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (5 papers), Numerical methods in engineering (3 papers), Vehicle Dynamics and Control Systems (2 papers), Artificial Intelligence in Games (2 papers), Digital Games and Media (2 papers), Structural Engineering and Vibration Analysis (2 papers), Structural Load-Bearing Analysis (2 papers) and Reinforcement Learning in Robotics (2 papers). The work is most often cited by research in Computational Mechanics (651 citations), Numerical Analysis (127 citations), Computational Theory and Mathematics (323 citations), Mechanics of Materials (285 citations) and Software (25 citations). Jun Ping Wang has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Jim Douglas, Joseph E. Pasciak, James H. Bramble, Jinchao Xu, Jinchao Xu, Ricardo G. Durán, Ricardo H. Nochetto, Wensheng Zhang, Ian Thomas and Yunchuan Sun. Their work appears in journals such as Mathematics of Computation, IEEE Transactions on Industrial Informatics, IEEE Internet of Things Journal, Biology and IEEE Transactions on Reliability.
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.