Junjun Wang
Impact in
- Computational Mechanics top 2%
- Advanced Numerical Methods in Computational Mathematics
- Numerical Analysis top 5%
- Numerical methods for differential equations
Papers in
-
- Advanced Numerical Methods in Computational Mathematics 35
-
- Numerical methods for differential equations 6
- Co-authors
- Dongyang Shi (15 shared papers)Meng Li (3 shared papers)Wei Zhou (4 shared papers)Yuchan Zhu (3 shared papers)Song A. An (1 shared paper)Daniel A. Tillman (1 shared paper)Meng Li (2 shared papers)Qingfu Li (1 shared paper)
- Journals
- Computers & Mathematics with Applications (7 papers)Applied Numerical Mathematics (4 papers)Mathematical Methods in the Applied Sciences (4 papers)Applied Mathematics and Computation (3 papers)Numerical Methods for Partial Differential Equations (3 papers)
- Partner nations
- China
In The Last Decade
Junjun Wang
45 papers receiving 747 citations
Peers
Comparison fields: 5 of 49
- Computational Mechanics 487
- Numerical Analysis 90
- Modeling and Simulation 50
- Polymers and Plastics 51
- Music 17
Countries citing papers authored by Junjun Wang
This map shows the geographic impact of Junjun 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 Junjun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junjun Wang more than expected).
Fields of papers citing papers by Junjun Wang
This network shows the impact of papers produced by Junjun 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 Junjun Wang. The network helps show where Junjun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junjun 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 75 | |
| 2 | 2017 | 75 | |
| 3 | 2015 | 48 | |
| 4 | 2007 | 42 | |
| 5 | 2016 | 41 | |
| 6 | 2019 | 38 | |
| 7 | 2009 | 34 | |
| 8 | Fostering Elementary Students’ Mathematics Disposition through Music-Mathematics Integrated Lessons | 2014 | 34 |
| 9 | 2019 | 31 | |
| 10 | 2016 | 30 | |
| 11 | 2017 | 30 | |
| 12 | 2016 | 27 | |
| 13 | 2017 | 26 | |
| 14 | 2016 | 24 | |
| 15 | 2008 | 22 | |
| 16 | 2017 | 17 | |
| 17 | 2012 | 15 | |
| 18 | 2018 | 13 | |
| 19 | 2019 | 13 | |
| 20 | 2021 | 13 |
About Junjun Wang
Junjun Wang is a scholar working on Computational Mechanics, Numerical Analysis, Mechanics of Materials, Modeling and Simulation and Music, having authored 50 papers that have together received 760 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (35 papers), Numerical methods for differential equations (6 papers), Muon and positron interactions and applications (4 papers), Carbon Nanotubes in Composites (2 papers), COVID-19 epidemiological studies (2 papers), Fatigue and fracture mechanics (2 papers), Advanced Clustering Algorithms Research (1 paper) and Fiber-reinforced polymer composites (1 paper). The work is most often cited by research in Computational Mechanics (487 citations), Numerical Analysis (90 citations), Modeling and Simulation (50 citations), Polymers and Plastics (51 citations) and Music (17 citations). Junjun Wang has collaborated with scholars based in China. Frequent co-authors include Dongyang Shi, Meng Li, Wei Zhou, Yuchan Zhu, Song A. An, Daniel A. Tillman, Meng Li, Qingfu Li, Jinrong Wu and Wencai Wang. Their work appears in journals such as Computers & Mathematics with Applications, Applied Numerical Mathematics, Mathematical Methods in the Applied Sciences, Applied Mathematics and Computation and Numerical Methods for Partial Differential Equations.
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.