Shuonan Wu

80 total papers · 542 total citations
29 papers, 310 citations indexed

About

Shuonan Wu is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Mechanics of Materials. According to data from OpenAlex, Shuonan Wu has authored 29 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computational Mechanics, 14 papers in Computational Theory and Mathematics and 9 papers in Mechanics of Materials. Recurrent topics in Shuonan Wu's work include Advanced Numerical Methods in Computational Mathematics (21 papers), Advanced Mathematical Modeling in Engineering (13 papers) and Numerical methods in engineering (9 papers). Shuonan Wu is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (21 papers), Advanced Mathematical Modeling in Engineering (13 papers) and Numerical methods in engineering (9 papers). Shuonan Wu collaborates with scholars based in China, United States and Taiwan. Shuonan Wu's co-authors include Jinchao Xu, Yukun Li, Fei Wang, Qingguo Hong, Zhi Zhou, Wenrui Hao, Michael R. Go, Avner Friedman, Yulong Xing and Ruo Li and has published in prestigious journals such as PLoS ONE, Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Shuonan Wu

25 papers receiving 295 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shuonan Wu 192 86 77 75 69 29 310
Liyong Zhu 164 0.9× 78 0.9× 83 1.1× 66 0.9× 153 2.2× 26 338
Cheng Wang Cheng Wang 161 0.8× 27 0.3× 185 2.4× 76 1.0× 69 1.0× 24 335
Lizhen Chen 139 0.7× 31 0.4× 120 1.6× 49 0.7× 89 1.3× 29 343
James H. Adler 234 1.2× 80 0.9× 30 0.4× 93 1.2× 61 0.9× 38 338
Carlos Zuppa 136 0.7× 175 2.0× 19 0.2× 74 1.0× 62 0.9× 22 335
Lina Zhao 175 0.9× 169 2.0× 29 0.4× 88 1.2× 19 0.3× 43 291
Markus Schmuck 142 0.7× 58 0.7× 42 0.5× 101 1.3× 16 0.2× 16 306
Hirofumi Notsu 158 0.8× 39 0.5× 19 0.2× 43 0.6× 46 0.7× 33 257
Augusto C. N. R. Galeão 248 1.3× 72 0.8× 10 0.1× 66 0.9× 66 1.0× 23 364
Élie Bretin 118 0.6× 82 1.0× 110 1.4× 67 0.9× 31 0.4× 30 333

Countries citing papers authored by Shuonan Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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