Guang‐an Zou

531 total citations
42 papers, 388 citations indexed

About

Guang‐an Zou is a scholar working on Computational Mechanics, Modeling and Simulation and Computational Theory and Mathematics. According to data from OpenAlex, Guang‐an Zou has authored 42 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computational Mechanics, 17 papers in Modeling and Simulation and 9 papers in Computational Theory and Mathematics. Recurrent topics in Guang‐an Zou's work include Fractional Differential Equations Solutions (13 papers), Advanced Numerical Methods in Computational Mathematics (11 papers) and Advanced Mathematical Modeling in Engineering (9 papers). Guang‐an Zou is often cited by papers focused on Fractional Differential Equations Solutions (13 papers), Advanced Numerical Methods in Computational Mathematics (11 papers) and Advanced Mathematical Modeling in Engineering (9 papers). Guang‐an Zou collaborates with scholars based in China, United States and Taiwan. Guang‐an Zou's co-authors include Bo Wang, Guangying Lv, Xiaofeng Yang, Jiang-Lun Wu, Yong Zhou, Jian Li, Zhaohua Li, Abdon Atangana, Bo Wang and Bo Wang and has published in prestigious journals such as Journal of Computational Physics, Journal of Mathematical Analysis and Applications and Applied Mathematics and Computation.

In The Last Decade

Guang‐an Zou

38 papers receiving 381 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guang‐an Zou China 13 191 108 104 95 69 42 388
Bruce A. Wade United States 13 114 0.6× 71 0.7× 148 1.4× 263 2.8× 81 1.2× 48 547
Shujuan Lü China 14 388 2.0× 106 1.0× 38 0.4× 324 3.4× 30 0.4× 54 579
Nikos I. Kavallaris United Kingdom 11 80 0.4× 114 1.1× 37 0.4× 38 0.4× 39 0.6× 46 384
Maŕıa López-Fernández Spain 11 175 0.9× 131 1.2× 89 0.9× 210 2.2× 6 0.1× 18 456
Ali Shokri Iran 13 210 1.1× 52 0.5× 81 0.8× 286 3.0× 9 0.1× 81 538
Angelamaria Cardone Italy 16 278 1.5× 76 0.7× 133 1.3× 420 4.4× 15 0.2× 41 534
Leila Torkzadeh Iran 10 172 0.9× 53 0.5× 27 0.3× 110 1.2× 56 0.8× 37 319
Juan Pablo Borthagaray Argentina 7 148 0.8× 100 0.9× 78 0.8× 135 1.4× 5 0.1× 13 312
Francesco Solombrino Italy 8 55 0.3× 60 0.6× 52 0.5× 12 0.1× 21 0.3× 35 290

Countries citing papers authored by Guang‐an Zou

Since Specialization
Citations

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

Fields of papers citing papers by Guang‐an Zou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guang‐an Zou. 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 Guang‐an Zou. The network helps show where Guang‐an Zou may publish in the future.

Co-authorship network of co-authors of Guang‐an Zou

This figure shows the co-authorship network connecting the top 25 collaborators of Guang‐an Zou. A scholar is included among the top collaborators of Guang‐an Zou 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 Guang‐an Zou. Guang‐an Zou 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.
Zhang, Qiankun, et al.. (2025). A time variable stepping technique for solving the Navier–Stokes equations with an adaptive minimum dissipation criterion. Zeitschrift für angewandte Mathematik und Physik. 76(2). 1 indexed citations
2.
Li, Zhaohua, et al.. (2025). An efficient discontinuous Galerkin method for the hydro-dynamically coupled phase-field vesicle membrane model. Computers & Mathematics with Applications. 181. 259–286.
3.
Li, Mengmeng, Guang‐an Zou, & Min Zhang. (2024). An efficient unconditional energy-stable finite element method for the electro-hydrodynamic equations. Computers & Mathematics with Applications. 176. 447–468. 1 indexed citations
4.
Zou, Guang‐an, et al.. (2024). Unconditionally stable fully‐discrete finite element numerical scheme for active fluid model. International Journal for Numerical Methods in Fluids. 96(5). 626–650. 1 indexed citations
5.
Zou, Guang‐an, et al.. (2024). Numerical analysis of finite element method for a stochastic active fluids model. Applied Numerical Mathematics. 201. 217–246. 1 indexed citations
6.
Wang, Xinyao, et al.. (2024). Stabilization by the discrete observations feedback control and intermittent control. Filomat. 38(18). 6371–6383.
7.
Zou, Guang‐an, et al.. (2023). A splitting discontinuous Galerkin projection method for the magneto-hydrodynamic equations. Applied Numerical Mathematics. 197. 363–388. 6 indexed citations
8.
Zou, Guang‐an, et al.. (2023). A Crank-Nicolson discontinuous Galerkin pressure-projection method for the hydrodynamic and sediment transport model. Computers & Mathematics with Applications. 142. 175–197. 1 indexed citations
9.
Zou, Guang‐an, et al.. (2023). Unconditionally energy-stable discontinuous Galerkin method for the chemo-repulsion-Navier-Stokes system. Computers & Mathematics with Applications. 150. 132–155. 1 indexed citations
10.
Zou, Guang‐an, et al.. (2023). An extrapolated Crank-Nicolson virtual element scheme for the nematic liquid crystal flows. Advances in Computational Mathematics. 49(3). 7 indexed citations
11.
Zou, Guang‐an, et al.. (2023). A stabilized divergence-free virtual element scheme for the nematic liquid crystal flows. Applied Numerical Mathematics. 192. 104–131. 4 indexed citations
12.
Zou, Guang‐an, et al.. (2023). Unconditionally Energy-Stable Finite Element Scheme for the Chemotaxis-Fluid System. Journal of Scientific Computing. 95(1). 19 indexed citations
13.
14.
Zou, Guang‐an, Xue Wang, & Tony W. H. Sheu. (2021). Finite element analysis of a new phase field model with p-Laplacian operator. Mathematics and Computers in Simulation. 185. 134–152. 1 indexed citations
15.
Lv, Guangying, et al.. (2021). Noise and stability in reaction-diffusion equations. Mathematical Control and Related Fields. 12(1). 147–147. 1 indexed citations
16.
Xu, Pengfei, Guang‐an Zou, & Jianhua Huang. (2019). Time–space fractional stochastic Ginzburg–Landau equation driven by fractional Brownian motion. Computers & Mathematics with Applications. 78(12). 3790–3806. 10 indexed citations
17.
Zou, Guang‐an, Bo Wang, & Tony W. H. Sheu. (2019). On a conservative Fourier spectral Galerkin method for cubic nonlinear Schrödinger equation with fractional Laplacian. Mathematics and Computers in Simulation. 168. 122–134. 4 indexed citations
18.
Zou, Guang‐an, Guangying Lv, & Jiang-Lun Wu. (2018). On the regularity of weak solutions to space–time fractional stochastic heat equations. Statistics & Probability Letters. 139. 84–89. 7 indexed citations
19.
Zou, Guang‐an. (2018). A Galerkin finite element method for time-fractional stochastic heat equation. Computers & Mathematics with Applications. 75(11). 4135–4150. 36 indexed citations
20.
Zou, Guang‐an & Bo Wang. (2017). Stochastic Burgers’ equation with fractional derivative driven by multiplicative noise. Computers & Mathematics with Applications. 74(12). 3195–3208. 53 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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