Mingchao Cai

662 total citations
39 papers, 481 citations indexed

About

Mingchao Cai is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Mechanics of Materials. According to data from OpenAlex, Mingchao Cai has authored 39 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computational Mechanics, 16 papers in Computational Theory and Mathematics and 8 papers in Mechanics of Materials. Recurrent topics in Mingchao Cai's work include Advanced Numerical Methods in Computational Mathematics (27 papers), Advanced Mathematical Modeling in Engineering (12 papers) and Computational Fluid Dynamics and Aerodynamics (9 papers). Mingchao Cai is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (27 papers), Advanced Mathematical Modeling in Engineering (12 papers) and Computational Fluid Dynamics and Aerodynamics (9 papers). Mingchao Cai collaborates with scholars based in United States, China and Hong Kong. Mingchao Cai's co-authors include Mo Mu, Jinchao Xu, Mehmet H. Kural, Dalin Tang, Jie Zheng, Kristen L. Billiar, Jinru Chen, Jingzhi Li, Xiaoqing Jin and Zhilin Li and has published in prestigious journals such as Journal of Computational Physics, Journal of Biomechanics and Mathematics of Computation.

In The Last Decade

Mingchao Cai

32 papers receiving 452 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingchao Cai United States 9 366 168 108 93 60 39 481
Martina Bukač United States 14 365 1.0× 172 1.0× 75 0.7× 85 0.9× 82 1.4× 34 583
Carlo D’Angelo Italy 10 275 0.8× 172 1.0× 167 1.5× 37 0.4× 31 0.5× 19 422
Davide Forti Switzerland 8 162 0.4× 53 0.3× 51 0.5× 58 0.6× 39 0.7× 15 315
Matteo Astorino France 8 270 0.7× 48 0.3× 35 0.3× 113 1.2× 85 1.4× 10 539
A. Garon Canada 11 335 0.9× 40 0.2× 55 0.5× 30 0.3× 24 0.4× 24 414
Anthony Puntel United States 9 526 1.4× 72 0.4× 37 0.3× 38 0.4× 14 0.2× 9 624
S.Ø. Wille Norway 10 206 0.6× 61 0.4× 32 0.3× 20 0.2× 69 1.1× 33 361
Matthew Schwaab United States 6 428 1.2× 66 0.4× 14 0.1× 129 1.4× 42 0.7× 6 550
Marwan Moubachir France 6 275 0.8× 87 0.5× 29 0.3× 38 0.4× 16 0.3× 10 375
Christiane Förster Germany 6 366 1.0× 36 0.2× 32 0.3× 45 0.5× 11 0.2× 9 474

Countries citing papers authored by Mingchao Cai

Since Specialization
Citations

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

Fields of papers citing papers by Mingchao Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingchao Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Mingchao Cai. A scholar is included among the top collaborators of Mingchao Cai 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 Mingchao Cai. Mingchao Cai 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.
Cai, Mingchao, et al.. (2025). An optimally convergent parallel splitting algorithm for the multiple-network poroelasticity model. Journal of Computational Physics. 539. 114214–114214.
2.
Wang, Gang, et al.. (2025). A Mixed Virtual Element Method for the Four‐Field Poroelasticity Problem on Polygonal Meshes and Its Simulation in Brain Edema. Numerical Methods for Partial Differential Equations. 41(6).
3.
Cai, Mingchao, et al.. (2025). An efficient iterative decoupling method for thermo-poroelasticity based on a four-field formulation. Computers & Mathematics with Applications. 195. 139–160.
4.
Cai, Mingchao, et al.. (2025). Effects of additive noise and variable coefficients on the exact solutions of the stochastic Kawahara equation. Physics Letters A. 554. 130723–130723.
5.
Wang, Yu & Mingchao Cai. (2024). A fast finite difference scheme for the time-space fractional diffusion equation. IFAC-PapersOnLine. 58(12). 174–178.
6.
Cai, Mingchao, et al.. (2024). Low regularity error analysis for an H(div)-conforming discontinuous Galerkin approximation of Stokes problem. Journal of Computational and Applied Mathematics. 451. 116118–116118. 2 indexed citations
7.
Zhang, Shangyou, et al.. (2024). A pressure-robust numerical scheme for the Stokes equations based on the WOPSIP DG approach. Journal of Computational and Applied Mathematics. 445. 115819–115819. 2 indexed citations
8.
Han, Bing, et al.. (2024). Forward Computational Modeling of Respiratory Airflow. Applied Sciences. 14(24). 11591–11591. 1 indexed citations
9.
Cai, Mingchao, et al.. (2023). A combination of physics-informed neural networks with the fixed-stress splitting iteration for solving Biot's model. Frontiers in Applied Mathematics and Statistics. 9. 2 indexed citations
10.
Cai, Mingchao, et al.. (2023). A priori error estimates of two monolithic schemes for Biot's consolidation model. Numerical Methods for Partial Differential Equations. 40(1). 2 indexed citations
11.
Cai, Mingchao, et al.. (2023). Some Optimally Convergent Algorithms for Decoupling the Computation of Biot’s Model. Journal of Scientific Computing. 97(2). 6 indexed citations
12.
Cai, Mingchao, et al.. (2023). An iterative decoupled algorithm with unconditional stability for Biot model. Mathematics of Computation. 92(341). 1087–1108. 8 indexed citations
13.
Wang, Feng, et al.. (2022). A mixed virtual element method for Biot's consolidation model. Computers & Mathematics with Applications. 126. 31–42. 6 indexed citations
14.
Cai, Mingchao, et al.. (2020). Parameter-robust multiphysics algorithms for Biot model with application in brain edema simulation. Mathematics and Computers in Simulation. 177. 385–403. 16 indexed citations
15.
Cai, Mingchao, et al.. (2019). An H(div)-Conforming Finite Element Method for the Biot Consolidation Model. East Asian Journal on Applied Mathematics. 9(3). 558–579. 7 indexed citations
16.
Cai, Mingchao, Luca F. Pavarino, & Olof B. Widlund. (2015). Overlapping Schwarz Methods with a Standard Coarse Space for Almost Incompressible Linear Elasticity. SIAM Journal on Scientific Computing. 37(2). A811–A830. 6 indexed citations
17.
Kural, Mehmet H., et al.. (2012). Planar biaxial characterization of diseased human coronary and carotid arteries for computational modeling. Journal of Biomechanics. 45(5). 790–798. 84 indexed citations
18.
Cai, Mingchao & Mo Mu. (2011). A multilevel decoupled method for a mixed Stokes/Darcy model. Journal of Computational and Applied Mathematics. 236(9). 2452–2465. 50 indexed citations
19.
Cai, Mingchao, Mo Mu, & Jinchao Xu. (2009). Preconditioning techniques for a mixed Stokes/Darcy model in porous media applications. Journal of Computational and Applied Mathematics. 233(2). 346–355. 57 indexed citations
20.
Cai, Mingchao, Xiaoqing Jin, & Yimin Wei. (2005). A generalization of T. Chan’s preconditioner. Linear Algebra and its Applications. 407. 11–18. 6 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Martina Bukač Breakdown of academic impact, for papers by Carlo D’Angelo Breakdown of academic impact, for papers by Davide Forti Breakdown of academic impact, for papers by Matteo Astorino Breakdown of academic impact, for papers by A. Garon Breakdown of academic impact, for papers by Anthony Puntel Breakdown of academic impact, for papers by S.Ø. Wille Breakdown of academic impact, for papers by Matthew Schwaab Breakdown of academic impact, for papers by Marwan Moubachir Breakdown of academic impact, for papers by Christiane Förster
Rankless by CCL
2026