An Zhang
Results

Journal Article
The Shephard Type Problems for General $L_p$-Centroid Bodies
Communications in Mathematical Research, Vol. 35 (2019), Iss. 1 : pp. 27–34

Journal Article
The Impact of Multilateral Imported Cases of COVID-19 on the Epidemic Control in China
Communications in Mathematical Research, Vol. 36 (2020), Iss. 3 : pp. 320–335

Journal Article
Asymptotic Behavior of Solutions to One-Dimensional Compressible Navier-Stokes-Poisson Equations with Large Initial Data
Communications in Mathematical Analysis and Applications, Vol. 1 (2022), Iss. 2 : pp. 285–318

Journal Article
A Multirate Approach for Fluid-Structure Interaction Computation with Decoupled Methods
Communications in Computational Physics, Vol. 27 (2020), Iss. 4 : pp. 1014–1031

Journal Article
Weak Galerkin and Continuous Galerkin Coupled Finite Element Methods for the Stokes-Darcy Interface Problem
Communications in Computational Physics, Vol. 28 (2020), Iss. 3 : pp. 1147–1175

Journal Article
Well-Organized MZT-ME-PML Approach for THz BP Metasurface Implementations
Communications in Computational Physics, Vol. 29 (2021), Iss. 2 : pp. 588–605

Journal Article
Numerical Approximations of Phase Field Models Using a General Class of Linear Time-Integration Schemes
Communications in Computational Physics, Vol. 30 (2021), Iss. 5 : pp. 1290–1322

Journal Article
Dissipative and Conservative Local Discontinuous Galerkin Methods for the Fornberg-Whitham Type Equations
Communications in Computational Physics, Vol. 30 (2021), Iss. 2 : pp. 321–356

Journal Article
Predict Blood Pressure by Photoplethysmogram with the Fluid-Structure Interaction Modeling
Communications in Computational Physics, Vol. 31 (2022), Iss. 4 : pp. 1114–1133

Journal Article
High Order Conservative Finite Difference/Fourier Spectral Methods for Inviscid Surface Quasi-Geostrophic Flows
Communications in Computational Physics, Vol. 32 (2022), Iss. 5 : pp. 1474–1509

Journal Article
A High-Order Direct Discontinuous Galerkin Method for Variable Density Incompressible Flows
Communications in Computational Physics, Vol. 32 (2022), Iss. 3 : pp. 850–877

Journal Article
Physics-Driven Learning of the Steady Navier-Stokes Equations Using Deep Convolutional Neural Networks
Communications in Computational Physics, Vol. 32 (2022), Iss. 3 : pp. 715–736