Shipeng Mao

1.4k total citations
81 papers, 1.0k citations indexed

About

Shipeng Mao is a scholar working on Computational Mechanics, Mechanics of Materials and Computational Theory and Mathematics. According to data from OpenAlex, Shipeng Mao has authored 81 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Computational Mechanics, 34 papers in Mechanics of Materials and 27 papers in Computational Theory and Mathematics. Recurrent topics in Shipeng Mao's work include Advanced Numerical Methods in Computational Mathematics (59 papers), Numerical methods in engineering (31 papers) and Advanced Mathematical Modeling in Engineering (25 papers). Shipeng Mao is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (59 papers), Numerical methods in engineering (31 papers) and Advanced Mathematical Modeling in Engineering (25 papers). Shipeng Mao collaborates with scholars based in China, United States and France. Shipeng Mao's co-authors include Shaochun Chen, Zhong‐Ci Shi, Roland Becker, Jikun Zhao, Ralf Hiptmair, Weiying Zheng, Mingxia Li, Lingxiao Li, Wejdan Deebani and M. Riaz Khan and has published in prestigious journals such as Applied Physics Letters, Scientific Reports and Journal of Computational Physics.

In The Last Decade

Shipeng Mao

72 papers receiving 961 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shipeng Mao China 17 816 384 278 211 197 81 1.0k
Pengzhan Huang China 20 904 1.1× 251 0.7× 235 0.8× 195 0.9× 90 0.5× 122 1.1k
Rafael Vázquez Italy 18 1.4k 1.7× 586 1.5× 363 1.3× 140 0.7× 65 0.3× 44 1.6k
Weifeng Qiu Hong Kong 19 912 1.1× 426 1.1× 281 1.0× 373 1.8× 57 0.3× 61 1.2k
Zhong‐Ci Shi China 19 952 1.2× 652 1.7× 404 1.5× 296 1.4× 76 0.4× 75 1.1k
Ricardo G. Durán Argentina 18 991 1.2× 656 1.7× 494 1.8× 278 1.3× 67 0.3× 30 1.2k
Ricardo G. Durán Argentina 20 835 1.0× 559 1.5× 554 2.0× 212 1.0× 62 0.3× 47 1.2k
Thomas Apel Germany 19 889 1.1× 551 1.4× 510 1.8× 205 1.0× 41 0.2× 51 1.1k
C. Verdi Italy 18 594 0.7× 231 0.6× 600 2.2× 89 0.4× 44 0.2× 54 1.1k
Chuanjun Chen China 18 636 0.8× 161 0.4× 165 0.6× 148 0.7× 41 0.2× 69 1.0k
So‐Hsiang Chou United States 21 1.3k 1.6× 347 0.9× 304 1.1× 525 2.5× 31 0.2× 52 1.4k

Countries citing papers authored by Shipeng Mao

Since Specialization
Citations

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

Fields of papers citing papers by Shipeng Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shipeng Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Shipeng Mao. A scholar is included among the top collaborators of Shipeng Mao 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 Shipeng Mao. Shipeng Mao 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.
2.
Wang, Xiaorong, Xuerui Mao, Shipeng Mao, & Xiaoming He. (2025). A mass and charge conservative fully discrete scheme for a 3D diffuse interface model of the two-phase inductionless MHD flows. Computers & Mathematics with Applications. 182. 139–162.
3.
Mao, Shipeng, et al.. (2025). Unconditionally Optimal Convergent Zero-Energy-Contribution Scheme for Two Phase MHD Model. Journal of Scientific Computing. 102(2).
4.
Mao, Shipeng, et al.. (2024). Second order, fully decoupled, linear, exactly divergence-free and unconditionally stable discrete scheme for incompressible MHD equations. Computers & Mathematics with Applications. 169. 195–204. 2 indexed citations
5.
Khan, M. Riaz & Shipeng Mao. (2024). The magnetized flow of Newtonian/non‐Newtonian fluid across a curved surface with reaction kinetics and non‐Fourier heat transfer. ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik. 104(8). 1 indexed citations
6.
Mao, Shipeng, et al.. (2024). Second Order Unconditionally Convergent Fully Discrete Scheme for Incompressible Vector Potential MHD System. Journal of Scientific Computing. 100(1). 4 indexed citations
7.
Guan, Xiaofei, et al.. (2024). MHDnet: Physics-Preserving Learning for Solving Magnetohydrodynamics Problems. Communications in Computational Physics. 36(4). 943–976.
8.
Khan, M. Riaz & Shipeng Mao. (2023). Comprehensive analysis of magnetized second-grade nanofluid via Fourier's and Cataneo-Christove models past a curved surface. International Journal of Hydrogen Energy. 7 indexed citations
9.
Yu, Haijun, Itzhak Fouxon, Jianchun Wang, et al.. (2023). Lyapunov exponents and Lagrangian chaos suppression in compressible homogeneous isotropic turbulence. Physics of Fluids. 35(12). 1 indexed citations
10.
Khan, M. Riaz & Shipeng Mao. (2022). Numerical solution of magnetohydrodynamics radiative flow of Oldroyd‐B nanofluid toward a porous stretched surface containing gyrotactic microorganisms. ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik. 102(8). 5 indexed citations
11.
12.
Zhang, Bei, Shaochun Chen, Jikun Zhao, & Shipeng Mao. (2017). A posteriori error analysis of nonconforming finite element methods for convection–diffusion problems. Journal of Computational and Applied Mathematics. 321. 416–426.
13.
Zhao, Jikun, Shipeng Mao, & Weiying Zheng. (2016). Anisotropic adaptive finite element method for magnetohydrodynamic flow at high Hartmann numbers. Applied Mathematics and Mechanics. 37(11). 1479–1500. 6 indexed citations
14.
Li, Mingxia, Xiaofei Guan, & Shipeng Mao. (2014). New error estimates of the Morley element for the plate bending problems. Journal of Computational and Applied Mathematics. 263. 405–416. 14 indexed citations
15.
Li, Mingxia & Shipeng Mao. (2012). A new a priori error analysis of nonconforming and mixed finite element methods. Applied Mathematics Letters. 26(1). 32–37. 2 indexed citations
16.
Chen, Shaochun, et al.. (2009). Second-order locking-free nonconforming elements for planar linear elasticity. Journal of Computational and Applied Mathematics. 233(10). 2534–2548. 10 indexed citations
17.
Mao, Shipeng & Zhong‐Ci Shi. (2008). Error estimates of triangular finite elements under a weak angle condition. Journal of Computational and Applied Mathematics. 230(1). 329–331. 9 indexed citations
18.
Mao, Shipeng, Shaochun Chen, Dongyang Shi, & Zhimin Zhang. (2007). CONVERGENCE AND SUPERCONVERGENCE OF A NONCONFORMING FINITE ELEMENT ON ANISOTROPIC MESHES. 4(1). 21–34. 15 indexed citations
19.
Chen, Shaochun, Li Yin, & Shipeng Mao. (2007). An anisotropic, superconvergent nonconforming plate finite element. Journal of Computational and Applied Mathematics. 220(1-2). 96–110. 15 indexed citations
20.
Mao, Shipeng & Zhong‐Ci Shi. (2006). Nonconforming rotated Q 1 element on non-tensor product anisotropic meshes. Science in China Series A Mathematics. 49(10). 1363–1375. 4 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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