Xiaoshen Wang

1.5k citations
72 papers · 1.0k · h-index 21

Impact in

Papers in

Xiaoshen Wang

68 papers receiving 977 citations

Peers

Xiaoshen Wang
Comparison fields: 5 of 106
  • Numerical Analysis 197
  • Computational Mechanics 521
  • Modeling and Simulation 100
  • Computational Theory and Mathematics 331
  • Mechanics of Materials 288
Replace Riaz A. Usmani with:
Riaz A. Usmani Canada
Messoud Efendiev Germany
Françoise Chatelin France
Konrad Gröger Germany
Michel Chipot Switzerland
Jacek Banasiak South Africa
Vladimír Šverák United States
Zabidin Salleh Malaysia
Umberto Mosco Italy
Angelo Favini Italy
Xiaoshen Wang relative to Riaz A. Usmani Canada Riaz A. Usmani's profile →
Citations per field
00.5×10×14×
Riaz A. Usmani · 1×
Citations per year

Countries citing papers authored by Xiaoshen Wang

Since Specialization
Citations

This map shows the geographic impact of Xiaoshen 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 Xiaoshen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoshen Wang more than expected).

Fields of papers citing papers by Xiaoshen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaoshen 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 Xiaoshen Wang. The network helps show where Xiaoshen Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Xiaoshen Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaoshen Wang Line = papers co-authored together Xiaoshen Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200496
2 201464
3 199647
4 201645
5 201441
6 201541
7 200436
8 201935
9 202330
10 199630
11 200330
12 202126
13 202126
14 201525
15 202021
16 201921
17 201920
18 201420
19 202420
20 202220

About Xiaoshen Wang

Xiaoshen Wang is a scholar working on Computational Mechanics, Mechanics of Materials, Computational Theory and Mathematics, Electrical and Electronic Engineering and Molecular Biology, having authored 72 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (37 papers), Numerical methods in engineering (24 papers), Electromagnetic Simulation and Numerical Methods (17 papers), Advanced Mathematical Modeling in Engineering (12 papers), Polynomial and algebraic computation (11 papers), Differential Equations and Numerical Methods (7 papers), CRISPR and Genetic Engineering (7 papers) and Commutative Algebra and Its Applications (6 papers). The work is most often cited by research in Numerical Analysis (197 citations), Computational Mechanics (521 citations), Modeling and Simulation (100 citations), Computational Theory and Mathematics (331 citations) and Mechanics of Materials (288 citations). Xiaoshen Wang has collaborated with scholars based in United States, China and Iraq. Frequent co-authors include Lin Mu, Xiu Ye, Taiyong Li, Qilong Zhai, Ran Zhang, Fuzheng Gao, J. Maurice Rojas, Ruishu Wang, Kai Zhang and Saqib Hussain. Their work appears in journals such as Journal of Computational and Applied Mathematics, Applied Numerical Mathematics, Numerical Methods for Partial Differential Equations, Science China Mathematics and Nucleic Acids Research.

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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