Xiaoming Wang

10.5k total citations · 1 hit paper
187 papers, 7.9k citations indexed

About

Xiaoming Wang is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Applied Mathematics. According to data from OpenAlex, Xiaoming Wang has authored 187 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Computational Mechanics, 38 papers in Computational Theory and Mathematics and 32 papers in Applied Mathematics. Recurrent topics in Xiaoming Wang's work include Fluid Dynamics and Turbulent Flows (35 papers), Advanced Mathematical Modeling in Engineering (33 papers) and Navier-Stokes equation solutions (24 papers). Xiaoming Wang is often cited by papers focused on Fluid Dynamics and Turbulent Flows (35 papers), Advanced Mathematical Modeling in Engineering (33 papers) and Navier-Stokes equation solutions (24 papers). Xiaoming Wang collaborates with scholars based in China, United States and France. Xiaoming Wang's co-authors include Michael Yu Wang, Dongming Guo, Max Gunzburger, Steven M. Wise, Wenbin Chen, Cheng Wang, Andrew J. Majda, Daozhi Han, Roger Témam and Yanzhao Cao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Journal of Fluid Mechanics.

In The Last Decade

Xiaoming Wang

167 papers receiving 7.5k citations

Hit Papers

A level set method for structural topology optimization 2002 2026 2010 2018 2002 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoming Wang China 40 3.1k 2.7k 2.5k 1.9k 1.2k 187 7.9k
Michael Griebel Germany 41 2.3k 0.8× 752 0.3× 1.2k 0.5× 1.4k 0.8× 1.2k 1.0× 148 6.7k
Г. И. Баренблатт United States 36 3.1k 1.0× 1.4k 0.5× 962 0.4× 2.9k 1.6× 849 0.7× 138 11.0k
Wen Chen China 54 1.5k 0.5× 1.9k 0.7× 787 0.3× 5.6k 3.0× 784 0.6× 350 12.1k
Dongbin Xiu United States 38 2.1k 0.7× 2.7k 1.0× 2.4k 0.9× 639 0.3× 195 0.2× 116 11.6k
Grégoire Allaire France 43 3.5k 1.2× 5.7k 2.1× 5.7k 2.2× 5.9k 3.1× 291 0.2× 159 10.4k
Roger Ghanem United States 54 2.0k 0.7× 6.4k 2.4× 2.5k 1.0× 1.5k 0.8× 339 0.3× 239 15.0k
C. A. Brebbia United Kingdom 42 3.2k 1.0× 2.9k 1.1× 703 0.3× 7.7k 4.1× 618 0.5× 400 12.8k
Graham F. Carey United States 41 4.2k 1.4× 469 0.2× 1.0k 0.4× 1.7k 0.9× 399 0.3× 298 6.8k
Olivier Pironneau France 36 4.3k 1.4× 687 0.3× 1.7k 0.7× 1.1k 0.6× 86 0.1× 153 6.1k
Pol D. Spanos United States 48 1.3k 0.4× 6.8k 2.5× 1.1k 0.4× 1.3k 0.7× 338 0.3× 248 12.7k

Countries citing papers authored by Xiaoming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoming Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoming Wang. A scholar is included among the top collaborators of Xiaoming 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 Xiaoming Wang. Xiaoming 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.
Yu, Yi, et al.. (2025). Feedforward-adaptive neural network control for ultra-precision positioning in magnetic levitation motion stages. Precision Engineering. 96. 212–226. 2 indexed citations
3.
Chen, Wenbin, et al.. (2024). Convergence analysis of a second order numerical scheme for the Flory–Huggins–Cahn–Hilliard–Navier–Stokes system. Journal of Computational and Applied Mathematics. 450. 115981–115981. 10 indexed citations
4.
Gao, Yali, Daozhi Han, & Xiaoming Wang. (2024). A second-order, mass-conservative, unconditionally stable and bound-preserving finite element method for the quasi-incompressible Cahn-Hilliard-Darcy system. Journal of Computational Physics. 518. 113340–113340. 1 indexed citations
5.
Dong, Wentao, et al.. (2024). Route planning of mobile robot based on improved RRT star and TEB algorithm. Scientific Reports. 14(1). 8942–8942. 10 indexed citations
7.
Wang, Xiaoming, et al.. (2023). Dynamic concurrent topology optimization and design for layer-wise graded structures. Composite Structures. 319. 117190–117190. 7 indexed citations
8.
Xin, Yue, et al.. (2021). Dilemma and solution of land scarcity, agro-production, and environmental risk for typical grain-producing areas in rapid urbanizing process in China. Environmental Science and Pollution Research. 28(22). 28606–28623. 2 indexed citations
9.
Wang, Xiaoming, et al.. (2021). Stokes–Darcy system, small-Darcy-number behaviour and related interfacial conditions. Journal of Fluid Mechanics. 922. 11 indexed citations
10.
Wang, Xiaoming, et al.. (2021). Existence, uniqueness and Ulam's stabilities for a class of implicit impulsive Langevin equation with Hilfer fractional derivatives. AIMS Mathematics. 6(5). 4915–4929. 9 indexed citations
11.
Wu, Weibin, et al.. (2020). Research Progress on the Early Monitoring of Pine Wilt Disease Using Hyperspectral Techniques. Sensors. 20(13). 3729–3729. 61 indexed citations
12.
Wang, Xiaoming, et al.. (2020). Vanishing porosity limit of the coupled Stokes-Brinkman system. Journal of Mathematical Analysis and Applications. 486(2). 123895–123895. 1 indexed citations
13.
Lin, Tai‐Chia, Xiaoming Wang, & Zhi-Qiang Wang. (2017). Orbital stability and energy estimate of ground states of saturable nonlinear Schrödinger equations with intensity functions in R2. Journal of Differential Equations. 263(8). 4750–4786. 12 indexed citations
14.
Wang, Xiaoming. (2011). Tight monomials for quantum enveloping algebras of rank-2 Kac–Moody Lie algebras. Journal of Pure and Applied Algebra. 216(3). 694–708.
15.
Gunzburger, Max, et al.. (2010). Asymptotic analysis of the differences between the Stokes–Darcy system with different interface conditions and the Stokes–Brinkman system. Journal of Mathematical Analysis and Applications. 368(2). 658–676. 54 indexed citations
16.
Wang, Xiaoming, et al.. (2008). A uniformly dissipative scheme for stationary statistical properties of the infinite Prandtl number model. Applied Mathematics Letters. 21(12). 1281–1285. 9 indexed citations
17.
Mei, Yulin & Xiaoming Wang. (2006). A simple discrete topology optimization method based on non-local element sensitivity analysis. Annual Conference on Computers. 1095–1100. 1 indexed citations
18.
Wang, Xiaoming. (2004). Large Prandtl number behavior of the Boussinesq system of Rayleigh-Bénard convection. Applied Mathematics Letters. 17(7). 821–825. 7 indexed citations
19.
Témam, Roger & Xiaoming Wang. (2001). Boundary layers in channel flow with injection and suction. Applied Mathematics Letters. 14(1). 87–91. 3 indexed citations
20.
Témam, Roger & Xiaoming Wang. (1998). Boundary layer for Chaffee-Infante type equation. Archivum Mathematicum. 34(1). 217–226. 1 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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