Shuonan Wu
- Computational Mechanics top 5%
- Mechanics of Materials
- Computational Theory and Mathematics top 5%
- Materials Chemistry
- Numerical Analysis top 10%
- Co-authors
- Jinchao XuYukun LiFei WangQingguo HongZhi ZhouWenrui HaoAvner FriedmanMichael R. Go
- Topics
- Advanced Numerical Methods in Computational Mathematics (21 papers)Advanced Mathematical Modeling in Engineering (13 papers)Numerical methods in engineering (9 papers)
- Journals
- PLoS ONEJournal of Computational PhysicsComputer Methods in Applied Mechanics and Engineering
- Partner nations
- ChinaUnited StatesUruguay
In The Last Decade
Shuonan Wu
25 papers receiving 300 citations
Peers
Comparison fields: 5 of 54
- Computational Mechanics 194
- Mechanics of Materials 88
- Computational Theory and Mathematics 78
- Materials Chemistry 77
- Numerical Analysis 70
Countries citing papers authored by Shuonan Wu
This map shows the geographic impact of Shuonan Wu'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 Shuonan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuonan Wu more than expected).
Fields of papers citing papers by Shuonan Wu
This network shows the impact of papers produced by Shuonan Wu. 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 Shuonan Wu. The network helps show where Shuonan Wu may publish in the future.
Co-authorship network of co-authors of Shuonan Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Shuonan Wu. A scholar is included among the top collaborators of Shuonan Wu 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 Shuonan Wu. Shuonan Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 6 | |
| 8 | Robust BPX preconditioner for the integral fractional Laplacian on bounded domains. | 1 |
| 9 | 7 | |
| 10 | 5 | |
| 11 | 7 | |
| 12 | 12 | |
| 13 | 10 | |
| 14 | 65 | |
| 15 | 11 | |
| 16 | 20 | |
| 17 | 24 | |
| 18 | 2 | |
| 19 | The Lowest Order Interior Penalty Nonconforming Finite Element Methods for Linear Elasticity | 1 |
| 20 | 3 |
About Shuonan Wu
Shuonan Wu is a scholar working on Numerical Analysis, Computational Mechanics and Computational Theory and Mathematics, having authored 29 papers that have together received 315 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (21 papers), Advanced Mathematical Modeling in Engineering (13 papers) and Numerical methods in engineering (9 papers). The work is most often cited by research in Numerical Analysis (70 citations), Computational Mechanics (194 citations) and Computational Theory and Mathematics (78 citations). Shuonan Wu has collaborated with scholars based in China, United States and Uruguay. Frequent co-authors include Jinchao Xu, Yukun Li, Fei Wang, Qingguo Hong, Zhi Zhou, Wenrui Hao, Avner Friedman, Michael R. Go, Ruo Li and Yulong Xing. Their work appears in journals such as PLoS ONE, Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering.
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.