Xiaoshen Wang

1.4k total citations
72 papers, 997 citations indexed

About

Xiaoshen Wang is a scholar working on Computational Mechanics, Mechanics of Materials and Computational Theory and Mathematics. According to data from OpenAlex, Xiaoshen Wang has authored 72 papers receiving a total of 997 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computational Mechanics, 25 papers in Mechanics of Materials and 24 papers in Computational Theory and Mathematics. Recurrent topics in Xiaoshen Wang's work include Advanced Numerical Methods in Computational Mathematics (37 papers), Numerical methods in engineering (24 papers) and Electromagnetic Simulation and Numerical Methods (17 papers). Xiaoshen Wang is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (37 papers), Numerical methods in engineering (24 papers) and Electromagnetic Simulation and Numerical Methods (17 papers). Xiaoshen Wang collaborates with scholars based in United States, China and Iraq. Xiaoshen Wang's co-authors include Taiyong Li, Lin Mu, Xiu Ye, Qilong Zhai, Fuzheng Gao, Ran Zhang, J. Maurice Rojas, Ruishu Wang, Kai Zhang and Saqib Hussain and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Xiaoshen Wang

68 papers receiving 942 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoshen Wang United States 20 514 322 290 195 193 72 997
Eun‐Jae Park South Korea 22 803 1.6× 456 1.4× 419 1.4× 320 1.6× 217 1.1× 111 1.4k
Konrad Gröger Germany 12 275 0.5× 906 2.8× 158 0.5× 59 0.3× 335 1.7× 51 1.6k
José M. Mazón Spain 22 235 0.5× 1.1k 3.6× 157 0.5× 20 0.1× 197 1.0× 96 2.2k
K. Zacharias Germany 11 202 0.4× 659 2.0× 127 0.4× 26 0.1× 279 1.4× 24 1.3k
Chengjian Zhang China 28 337 0.7× 335 1.0× 199 0.7× 192 1.0× 1.6k 8.5× 129 2.1k
Songmu Zheng China 25 326 0.6× 1.2k 3.6× 148 0.5× 12 0.1× 179 0.9× 58 2.0k
Hengguang Li United States 18 254 0.5× 144 0.4× 173 0.6× 93 0.5× 77 0.4× 80 1.1k
R. Weiner Germany 18 408 0.8× 195 0.6× 33 0.1× 153 0.8× 515 2.7× 58 770
Pratibhamoy Das India 30 584 1.1× 658 2.0× 201 0.7× 61 0.3× 1.5k 8.0× 70 2.3k
Abdullah Shah Pakistan 16 464 0.9× 122 0.4× 26 0.1× 60 0.3× 287 1.5× 83 966

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-authorship network of co-authors of Xiaoshen Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoshen Wang. A scholar is included among the top collaborators of Xiaoshen 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 Xiaoshen Wang. Xiaoshen 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.
Liu, Bin, Xiaoshen Wang, Ruimin Zhou, et al.. (2025). Non-coding RNA mediates the defense-associated reverse transcriptase (DRT) anti-phage oligomerization transition. The EMBO Journal. 44(19). 5429–5442.
2.
Song, Jie, Yi Shen, Zhen Wu, et al.. (2025). Quantitative Proteome and Phosphoproteome Profiling across Three Cell Lines Revealed Potential Proteins Relevant to Nasopharyngeal Carcinoma Metastasis. Journal of Proteome Research. 24(3). 1356–1372. 1 indexed citations
3.
Zhou, Zhenzhen, Xiaoshen Wang, Tobias Lang, et al.. (2025). Pressure‐Sensitive Adhesives Based on CO2‐Βased Polymer: Structure‐Regulated Viscoelasticity. ChemSusChem. 18(10). e202402546–e202402546. 2 indexed citations
4.
Wen, Yanan, et al.. (2025). Crystal structure of the anti-CRISPR protein AcrIE7. Biochemical and Biophysical Research Communications. 748. 151315–151315. 2 indexed citations
5.
Yin, Hang, Xiaoshen Wang, Guimei Yu, et al.. (2024). Insights into the modulation of bacterial NADase activity by phage proteins. Nature Communications. 15(1). 2692–2692. 12 indexed citations
6.
Yang, Jie, Xiaoshen Wang, Jingjing Tang, et al.. (2024). Structural basis for the activity of the type VII CRISPR–Cas system. Nature. 633(8029). 465–472. 11 indexed citations
7.
Wang, Xiaoshen, et al.. (2023). Assessment of the integrated benefits of highway infrastructure and analysis of the spatiotemporal variation: Evidence from 29 provinces in China. Socio-Economic Planning Sciences. 90. 101740–101740. 10 indexed citations
8.
Ji, Nan, Xiaoshen Wang, Jia He, et al.. (2023). Inhibitory mechanism of CRISPR-Cas9 by AcrIIC4. Nucleic Acids Research. 51(17). 9442–9451. 4 indexed citations
9.
Wang, Junping, Xiaoshen Wang, Xiu Ye, Shangyou Zhang, & Peng Zhu. (2023). On the superconvergence of a WG method for the elliptic problem with variable coefficients. Science China Mathematics. 67(8). 1899–1910. 1 indexed citations
10.
Cao, Han, et al.. (2022). Polymeric aluminum porphyrin: Controllable synthesis of ultra-low molecular weight CO2-based polyols. Chinese Chemical Letters. 34(8). 108011–108011. 19 indexed citations
11.
Yu, Guimei, Xiaoshen Wang, Yi Zhang, et al.. (2022). Structure and function of a bacterial type III-E CRISPR–Cas7-11 complex. Nature Microbiology. 7(12). 2078–2088. 20 indexed citations
12.
Li, Yán, et al.. (2022). Identification and Validation of Immune Infiltration Phenotypes in Laryngeal Squamous Cell Carcinoma by Integrative Multi-Omics Analysis. Frontiers in Immunology. 13. 843467–843467. 12 indexed citations
13.
Hussain, Saqib, et al.. (2021). SUPERCLOSENESS ANALYSIS OF STABILIZER FREE WEAK GALERKIN FINITE ELEMENT METHOD FOR CONVECTION-DIFFUSION EQUATIONS. Journal of Applied Analysis & Computation. 11(4). 1963–1981. 3 indexed citations
14.
Hussain, Saqib, et al.. (2021). A study of mixed problem for second order elliptic problems using modified weak Galerkin finite element method. Journal of Computational and Applied Mathematics. 401. 113770–113770. 1 indexed citations
15.
Wang, Jingyuan, Huaiwen Zhang, Wei Xu, et al.. (2018). Dose fall-off during the treatment of thoracic spine metastasis with CyberKnife stereotactic body radiation therapy (SBRT). Bosnian Journal of Basic Medical Sciences. 20(1). 131–139. 2 indexed citations
16.
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
17.
Mu, Lin, Xiaoshen Wang, & Xiu Ye. (2014). A modified weak Galerkin finite element method for the Stokes equations. Journal of Computational and Applied Mathematics. 275. 79–90. 62 indexed citations
18.
Gao, Fuzheng & Xiaoshen Wang. (2014). A modified weak Galerkin finite element method for a class of parabolic problems. Journal of Computational and Applied Mathematics. 271. 1–19. 41 indexed citations
19.
Li, Taiyong, et al.. (1999). Finding All Isolated Zeros of Polynomial Systems inCnvia Stable Mixed Volumes. Journal of Symbolic Computation. 28(1-2). 187–211. 19 indexed citations
20.
Rojas, J. Maurice & Xiaoshen Wang. (1996). Counting Affine Roots of Polynomial Systems via Pointed Newton Polytopes. Journal of Complexity. 12(2). 116–133. 30 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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