Zhonghua Qiao

3.5k total citations · 1 hit paper
89 papers, 2.5k citations indexed

About

Zhonghua Qiao is a scholar working on Computational Mechanics, Numerical Analysis and Computational Theory and Mathematics. According to data from OpenAlex, Zhonghua Qiao has authored 89 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Computational Mechanics, 32 papers in Numerical Analysis and 29 papers in Computational Theory and Mathematics. Recurrent topics in Zhonghua Qiao's work include Advanced Numerical Methods in Computational Mathematics (30 papers), Advanced Mathematical Modeling in Engineering (29 papers) and Differential Equations and Numerical Methods (28 papers). Zhonghua Qiao is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (30 papers), Advanced Mathematical Modeling in Engineering (29 papers) and Differential Equations and Numerical Methods (28 papers). Zhonghua Qiao collaborates with scholars based in Hong Kong, China and United States. Zhonghua Qiao's co-authors include Lili Ju, Zhengru Zhang, Tao Tang, Qiang Du, Shuyu Sun, Xiao Li, Li Xiao, Cheng Wang, Xiao Li and Dong Li and has published in prestigious journals such as Journal of Computational Physics, International Journal of Heat and Mass Transfer and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Zhonghua Qiao

87 papers receiving 2.4k citations

Hit Papers

Maximum Bound Principles ... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhonghua Qiao Hong Kong 27 1.5k 1.4k 1.0k 675 225 89 2.5k
Jiang Yang China 19 1.2k 0.9× 1.3k 1.0× 1.0k 1.0× 570 0.8× 245 1.1× 41 2.3k
Andreas Prohl Germany 24 1.2k 0.8× 523 0.4× 435 0.4× 846 1.3× 91 0.4× 88 2.0k
Buyang Li Hong Kong 26 1.1k 0.8× 186 0.1× 1.2k 1.2× 529 0.8× 70 0.3× 117 2.4k
Yinnian He China 38 4.5k 3.1× 434 0.3× 1.9k 1.9× 1.3k 1.9× 126 0.6× 237 5.4k
Gerhard Dziuk Germany 24 1.7k 1.2× 235 0.2× 248 0.2× 776 1.1× 51 0.2× 48 2.4k
Augusto Visintin Italy 24 599 0.4× 651 0.5× 138 0.1× 1.3k 1.9× 105 0.5× 98 2.7k
Amy Novick-Cohen Israel 21 534 0.4× 1.0k 0.8× 155 0.2× 596 0.9× 101 0.4× 67 1.5k
R. A. Nicolaides United States 27 1.6k 1.1× 213 0.2× 425 0.4× 765 1.1× 117 0.5× 70 2.2k

Countries citing papers authored by Zhonghua Qiao

Since Specialization
Citations

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

Fields of papers citing papers by Zhonghua Qiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhonghua Qiao

This figure shows the co-authorship network connecting the top 25 collaborators of Zhonghua Qiao. A scholar is included among the top collaborators of Zhonghua Qiao 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 Zhonghua Qiao. Zhonghua Qiao 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.
Qiao, Zhonghua, et al.. (2025). Neural networks trained by weight permutation are universal approximators. Neural Networks. 187. 107277–107277. 1 indexed citations
2.
Qiao, Zhonghua, et al.. (2024). A free-energy based multiple-distribution-function lattice Boltzmann method for multi-component and multi-phase flows. Applied Thermal Engineering. 257. 124241–124241. 4 indexed citations
3.
Ju, Lili, et al.. (2024). Energy-Dissipative Spectral Renormalization Exponential Integrator Method for Gradient Flow Problems. SIAM Journal on Scientific Computing. 46(6). A3477–A3502. 1 indexed citations
4.
Qiao, Zhonghua, et al.. (2024). An unconditionally energy stable linear scheme for Poisson–Nernst–Planck equations. Journal of Computational and Applied Mathematics. 443. 115759–115759. 3 indexed citations
5.
Qiao, Zhonghua, et al.. (2023). Stability and convergence analysis of the exponential time differencing scheme for a Cahn–Hilliard binary fluid-surfactant model. Applied Numerical Mathematics. 190. 321–343. 3 indexed citations
6.
Li, Xiao, Zhonghua Qiao, & Cheng Wang. (2023). Double stabilizations and convergence analysis of a second-order linear numerical scheme for the nonlocal Cahn-Hilliard equation. Science China Mathematics. 67(1). 187–210. 12 indexed citations
7.
Qiao, Zhonghua, et al.. (2023). An energy-stable Smoothed Particle Hydrodynamics discretization of the Navier-Stokes-Cahn-Hilliard model for incompressible two-phase flows. Journal of Computational Physics. 479. 111997–111997. 15 indexed citations
8.
Ju, Lili, et al.. (2022). Generalized SAV-Exponential Integrator Schemes for Allen--Cahn Type Gradient Flows. SIAM Journal on Numerical Analysis. 60(4). 1905–1931. 57 indexed citations
9.
Li, Xiao, Zhonghua Qiao, & Cheng Wang. (2020). Convergence analysis for a stabilized linear semi-implicit numerical scheme for the nonlocal Cahn–Hilliard equation. Mathematics of Computation. 90(327). 171–188. 58 indexed citations
10.
Li, Yiteng, Zhonghua Qiao, Shuyu Sun, & Tao Zhang. (2020). Thermodynamic modeling of CO2 solubility in saline water using NVT flash with the cubic-Plus-association equation of state. Fluid Phase Equilibria. 520. 112657–112657. 23 indexed citations
11.
Fan, Yuwei, et al.. (2019). Resolving Knudsen layer by high-order moment expansion. Continuum Mechanics and Thermodynamics. 31(5). 1313–1337. 6 indexed citations
12.
Qiao, Zhonghua, et al.. (2017). Wong-Zakai Approximations of Stochastic Allen-Cahn Equation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 16(5). 681–694. 6 indexed citations
13.
Qiao, Zhonghua, Cheng Wang, Steven M. Wise, & Zhengru Zhang. (2017). Error analysis of a finite difference scheme for the epitaxial thin film model with slope selection with an improved convergence constant. Archivaria. 14(2). 283–305. 8 indexed citations
14.
Li, Ruo, et al.. (2016). Acceleration for microflow simulations of high-order moment models by using lower-order model correction. Journal of Computational Physics. 327. 225–244. 4 indexed citations
15.
Li, Dong, Zhonghua Qiao, & Tao Tang. (2016). Gradient bounds for a thin film epitaxy equation. Journal of Differential Equations. 262(3). 1720–1746. 14 indexed citations
16.
Qiao, Zhonghua, Tao Tang, & Hehu Xie. (2015). Error Analysis of a Mixed Finite Element Method for the Molecular Beam Epitaxy Model. SIAM Journal on Numerical Analysis. 53(1). 184–205. 22 indexed citations
17.
Qiao, Zhonghua & Shuyu Sun. (2014). Two-Phase Fluid Simulation Using a Diffuse Interface Model with Peng--Robinson Equation of State. SIAM Journal on Scientific Computing. 36(4). B708–B728. 88 indexed citations
18.
Li, Chenliang & Zhonghua Qiao. (2012). A Fast Preconditioned Iterative Algorithm for the Electromagnetic Scattering from a Large Cavity. Journal of Scientific Computing. 53(2). 435–450. 9 indexed citations
19.
Chen, Shaochun, Mingfang Liu, & Zhonghua Qiao. (2010). An anisotropic nonconforming element for fourth order elliptic singular perturbation problem. 7(4). 766–784. 14 indexed citations
20.
Qiao, Zhonghua, et al.. (2006). Finite difference scheme for solving the nonlinear Poisson-Boltzmann equation modeling charged spheres. Journal of Computational Mathematics. 24(3). 252–264. 22 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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