Zhiming Gao

855 total citations
58 papers, 622 citations indexed

About

Zhiming Gao is a scholar working on Computational Mechanics, Numerical Analysis and Computational Theory and Mathematics. According to data from OpenAlex, Zhiming Gao has authored 58 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computational Mechanics, 21 papers in Numerical Analysis and 14 papers in Computational Theory and Mathematics. Recurrent topics in Zhiming Gao's work include Advanced Numerical Methods in Computational Mathematics (43 papers), Computational Fluid Dynamics and Aerodynamics (26 papers) and Differential Equations and Numerical Methods (21 papers). Zhiming Gao is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (43 papers), Computational Fluid Dynamics and Aerodynamics (26 papers) and Differential Equations and Numerical Methods (21 papers). Zhiming Gao collaborates with scholars based in China, United States and Ukraine. Zhiming Gao's co-authors include Jiming Wu, Zihuan Dai, Xinlong Feng, Yichen Ma, Guangwei Yuan, Shengfeng Zhu, Guijie Liu, Yong Wang, Yanzhong Yao and Li Yin and has published in prestigious journals such as Journal of Computational Physics, IEEE Access and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Zhiming Gao

54 papers receiving 582 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhiming Gao China 14 467 193 158 67 62 58 622
Will Pazner United States 11 389 0.8× 124 0.6× 127 0.8× 64 1.0× 18 0.3× 28 572
Hengbin An China 10 151 0.3× 147 0.8× 155 1.0× 55 0.8× 24 0.4× 28 386
П. Н. Вабищевич Russia 10 259 0.6× 185 1.0× 173 1.1× 163 2.4× 26 0.4× 62 626
Vincent A. Mousseau United States 17 582 1.2× 257 1.3× 107 0.7× 33 0.5× 10 0.2× 38 821
Lutz Angermann Germany 12 321 0.7× 231 1.2× 163 1.0× 84 1.3× 15 0.2× 50 549
Carlos Baumann British Virgin Islands 13 1.1k 2.3× 342 1.8× 322 2.0× 349 5.2× 42 0.7× 43 1.5k
Guangwei Yuan China 16 716 1.5× 429 2.2× 198 1.3× 85 1.3× 13 0.2× 52 868
Prabir Daripa United States 16 428 0.9× 61 0.3× 98 0.6× 99 1.5× 12 0.2× 85 863
Jiming Wu China 17 562 1.2× 351 1.8× 144 0.9× 180 2.7× 13 0.2× 66 904

Countries citing papers authored by Zhiming Gao

Since Specialization
Citations

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

Fields of papers citing papers by Zhiming Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhiming Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Zhiming Gao. A scholar is included among the top collaborators of Zhiming Gao 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 Zhiming Gao. Zhiming Gao 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.
Yang, Qian, Xiaoqin Shen, Jikun Zhao, & Zhiming Gao. (2025). A surface mesh DG-VEM for elliptic membrane shell model. Applied Numerical Mathematics. 217. 298–318.
2.
Tao, Xin, et al.. (2024). Modeling Radiation Belt Dynamics Using a Positivity‐Preserving Finite Volume Method on General Meshes. Journal of Geophysical Research Space Physics. 129(9). 2 indexed citations
3.
Wang, Yong, et al.. (2024). A practical PINN framework for multi-scale problems with multi-magnitude loss terms. Journal of Computational Physics. 510. 113112–113112. 23 indexed citations
4.
5.
Shen, Xiaoqin, et al.. (2023). Virtual element method for linear elastic clamped plate model. Applied Numerical Mathematics. 191. 1–16. 2 indexed citations
6.
Gao, Zhiming, et al.. (2023). Sample size adaptive strategy for time-dependent Monte Carlo particle transport simulation. Nuclear Science and Techniques. 34(4). 6 indexed citations
7.
Gao, Zhiming, et al.. (2022). A virtual element method‐based positivity‐preserving conservative scheme for convection–diffusion problems on polygonal meshes. Numerical Methods for Partial Differential Equations. 39(2). 1398–1424.
8.
Gao, Zhiming, et al.. (2022). Efficient Monte Carlo algorithm of time-dependent particle transport problem in multi-physics coupling calculation. Acta Physica Sinica. 71(9). 90501–90501. 3 indexed citations
9.
Gao, Zhiming, et al.. (2022). An extremum‐preserving finite volume scheme for three‐temperature radiation diffusion equations. Mathematical Methods in the Applied Sciences. 45(8). 4643–4660. 2 indexed citations
10.
Gao, Zhiming, et al.. (2020). A novel cell-centered finite volume scheme with positivity-preserving property for the anisotropic diffusion problems on general polyhedral meshes. Applied Mathematics Letters. 104. 106252–106252. 3 indexed citations
11.
Gao, Zhiming, et al.. (2019). A linearity-preserving vertex interpolation algorithm for cell-centered finite volume approximations of anisotropic diffusion problems. International Journal of Numerical Methods for Heat & Fluid Flow. 30(3). 1167–1188. 3 indexed citations
12.
Gao, Zhiming, et al.. (2019). A positivity-preserving nonlinear finite volume scheme for radionuclide transport calculations in geological radioactive waste repository. International Journal of Numerical Methods for Heat & Fluid Flow. 30(2). 516–534. 6 indexed citations
13.
Gao, Zhiming, et al.. (2019). A stabilized extremum‐preserving scheme for nonlinear parabolic equation on polygonal meshes. International Journal for Numerical Methods in Fluids. 90(7). 340–356. 21 indexed citations
14.
Zhu, Shengfeng & Zhiming Gao. (2018). Convergence analysis of mixed finite element approximations to shape gradients in the Stokes equation. Computer Methods in Applied Mechanics and Engineering. 343. 127–150. 21 indexed citations
15.
Gao, Zhiming, et al.. (2016). Shape identification for convection–diffusion problem based on the continuous adjoint method. Applied Mathematics Letters. 64. 74–80. 6 indexed citations
16.
Gao, Zhiming, et al.. (2016). The application of adjoint method for shape optimization in Stokes–Oseen flow. Mathematical Methods in the Applied Sciences. 40(4). 1114–1125. 1 indexed citations
17.
Gao, Zhiming & Yichen Ma. (2010). Shape Optimization in Time-Dependent Navier-Stokes Flows via Function Space Parametrization Technique. Computer Modeling in Engineering & Sciences. 66(2). 135–164. 2 indexed citations
18.
Gao, Zhiming & Jiming Wu. (2010). A linearity‐preserving cell‐centered scheme for the heterogeneous and anisotropic diffusion equations on general meshes. International Journal for Numerical Methods in Fluids. 67(12). 2157–2183. 68 indexed citations
19.
Gao, Zhiming & Yichen Ma. (2008). Drag minimization for Stokes flow. Applied Mathematics Letters. 21(11). 1161–1165. 2 indexed citations
20.
Gao, Zhiming, et al.. (2007). Optimal shape design for the time‐dependent Navier–Stokes flow. International Journal for Numerical Methods in Fluids. 57(10). 1505–1526. 8 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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