Ruishu Wang

460 total citations
31 papers, 297 citations indexed

About

Ruishu Wang is a scholar working on Computational Mechanics, Mechanics of Materials and Electrical and Electronic Engineering. According to data from OpenAlex, Ruishu Wang has authored 31 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computational Mechanics, 20 papers in Mechanics of Materials and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Ruishu Wang's work include Advanced Numerical Methods in Computational Mathematics (23 papers), Numerical methods in engineering (19 papers) and Electromagnetic Simulation and Numerical Methods (12 papers). Ruishu Wang is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (23 papers), Numerical methods in engineering (19 papers) and Electromagnetic Simulation and Numerical Methods (12 papers). Ruishu Wang collaborates with scholars based in China, United States and Iraq. Ruishu Wang's co-authors include Ran Zhang, Qilong Zhai, Junping Wang, Chunmei Wang, Xiaoshen Wang, Kai Zhang, Jiangguo Liu, Shangyou Zhang, Zhimin Zhang and Xiu Ye and has published in prestigious journals such as Macromolecules, Engineering Structures and Applied Mathematics and Computation.

In The Last Decade

Ruishu Wang

28 papers receiving 284 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ruishu Wang China 9 259 181 110 100 47 31 297
Zhaonan Dong France 6 230 0.9× 139 0.8× 97 0.9× 62 0.6× 39 0.8× 17 254
Guangzhi Du China 12 364 1.4× 154 0.9× 101 0.9× 79 0.8× 52 1.1× 41 412
Chunjia Bi China 11 383 1.5× 149 0.8× 136 1.2× 91 0.9× 144 3.1× 27 414
Filánder A. Sequeira Costa Rica 12 410 1.6× 229 1.3× 112 1.0× 122 1.2× 37 0.8× 23 423
Qilong Zhai China 14 454 1.8× 292 1.6× 203 1.8× 155 1.6× 108 2.3× 33 512
Ayçıl Çeşmeli̇oğlu United States 9 423 1.6× 103 0.6× 195 1.8× 44 0.4× 65 1.4× 22 456
Francesca Gardini Italy 8 248 1.0× 157 0.9× 82 0.7× 109 1.1× 34 0.7× 12 262
Jae-Hong Pyo South Korea 8 334 1.3× 35 0.2× 61 0.6× 35 0.3× 103 2.2× 18 357
Ashish Awasthi India 10 107 0.4× 55 0.3× 62 0.6× 24 0.2× 258 5.5× 25 362
O. Chkadua Georgia 10 48 0.2× 150 0.8× 155 1.4× 24 0.2× 27 0.6× 27 247

Countries citing papers authored by Ruishu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ruishu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruishu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ruishu Wang. A scholar is included among the top collaborators of Ruishu Wang 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 Ruishu Wang. Ruishu Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Ruishu, et al.. (2024). Full weak Galerkin finite element discretizations for poroelasticity problems in the primal formulation. Journal of Computational and Applied Mathematics. 443. 115754–115754. 2 indexed citations
2.
Wang, Ruishu, et al.. (2024). A locking-free weak Galerkin finite element method for linear elasticity problems. Computers & Mathematics with Applications. 160. 181–190. 2 indexed citations
3.
Wang, Ruishu, et al.. (2023). Weak Galerkin Method for Second-Order Elliptic Equations with Newton Boundary Condition. Communications in Computational Physics. 33(2). 568–595. 2 indexed citations
4.
5.
Wang, Ruishu. (2023). Research on Problems of Scientific Research Performance Evaluation Mechanism of Humanities and Social Sciences. Frontiers in Educational Research. 6(18). 1 indexed citations
6.
Wang, Zhenhua, Ruishu Wang, Yuyuan Lu, et al.. (2022). Mechanisms of Flow-Induced Polymer Translocation. Macromolecules. 55(9). 3602–3612. 11 indexed citations
7.
Wang, Ruishu, et al.. (2022). Weak Galerkin finite element method for linear elasticity interface problems. Applied Mathematics and Computation. 439. 127589–127589. 2 indexed citations
8.
Wang, Ruishu, et al.. (2022). A hybridized weak Galerkin finite element scheme for linear elasticity problem. Journal of Computational and Applied Mathematics. 425. 115024–115024. 3 indexed citations
9.
Wang, Ruishu, et al.. (2021). Application of Artificial Intelligence Techniques in Operating Mode of Professors’ Academic Governance in American Research Universities. Wireless Communications and Mobile Computing. 2021(1). 5 indexed citations
10.
Wang, Ruishu, et al.. (2020). A locking-free solver for linear elasticity on quadrilateral and hexahedral meshes based on enrichment of Lagrangian elements. Computers & Mathematics with Applications. 80(6). 1578–1595. 5 indexed citations
11.
Wang, Ruishu. (2020). Diagnostic Value of Spiral CT Chest Enhanced Scan in Adult with Active Pulmonary Tuberculosis. Journal of Clinical and Nursing Research. 4(3). 1 indexed citations
12.
Wang, Ruishu, et al.. (2018). Polynomial preserving recovery for a class of weak Galerkin finite element methods. Journal of Computational and Applied Mathematics. 362. 528–539. 5 indexed citations
13.
Wang, Xiuli, et al.. (2018). An absolutely stable weak Galerkin finite element method for the Darcy–Stokes problem. Applied Mathematics and Computation. 331. 20–32. 8 indexed citations
14.
Wang, Ruishu, Xiaoshen Wang, Qilong Zhai, & Kai Zhang. (2018). A weak Galerkin mixed finite element method for the Helmholtz equation with large wave numbers. Numerical Methods for Partial Differential Equations. 34(3). 1009–1032. 15 indexed citations
15.
Wang, Ruishu. (2018). A Modified Weak Galerkin Finite Element Method for the Poroelasticity Problems. Numerical Mathematics Theory Methods and Applications. 11(3). 518–539. 6 indexed citations
16.
Wang, Ruishu, Xiaoshen Wang, Kai Zhang, & Qian Zhou. (2018). Hybridized weak Galerkin finite element method for linear elasticity problem in mixed form. Frontiers of Mathematics in China. 13(5). 1121–1140. 7 indexed citations
17.
Zhai, Qilong, Xiu Ye, Ruishu Wang, & Ran Zhang. (2017). A weak Galerkin finite element scheme with boundary continuity for second-order elliptic problems. Computers & Mathematics with Applications. 74(10). 2243–2252. 8 indexed citations
18.
Wang, Ruishu, Ran Zhang, Xu Zhang, & Zhimin Zhang. (2017). Supercloseness analysis and polynomial preserving Recovery for a class of weak Galerkin Methods. Numerical Methods for Partial Differential Equations. 34(1). 317–335. 11 indexed citations
19.
Wang, Ruishu, Xiaoshen Wang, Qilong Zhai, & Ran Zhang. (2016). A weak Galerkin finite element scheme for solving the stationary Stokes equations. Journal of Computational and Applied Mathematics. 302. 171–185. 44 indexed citations
20.
Wang, Chunmei, Junping Wang, Ruishu Wang, & Ran Zhang. (2015). A locking-free weak Galerkin finite element method for elasticity problems in the primal formulation. Journal of Computational and Applied Mathematics. 307. 346–366. 72 indexed citations

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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