Numerical Mathematics-Theory Methods and Applications

Papers
(The TQCC of Numerical Mathematics-Theory Methods and Applications is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-12-01 to 2025-12-01.)
ArticleCitations
Symmetric-Adjoint and Symplectic-Adjoint Runge-Kutta Methods and Their Applications42
A Generalized Selectively Relaxed Matrix Splitting Preconditioning Strategy for Three-Dimensional Flux-Limited Multi-Group Radiation Diffusion Equations32
A Priori Error Estimate of Nonconforming Virtual Element Method for Convection Dominated Diffusion Equation25
Character Modelling with Sketches and ODE-Based Shape Creation23
Analysis and Optimal Control of a System of Hemivariational Inequalities Arising in Non-Stationary Navier-Stokes Equation with Thermal Effects23
A Third Order Accurate in Time, BDF-Type Energy Stable Scheme for the Cahn-Hilliard Equation14
L1/Local Discontinuous Galerkin Method for the Time-Fractional Stokes Equation12
Sparse Deep Neural Network for Nonlinear Partial Differential Equations10
New Extrapolation Modulus-Based Economical Cascadic Multigrid Method for Variational Inequality Problems with Nonlinear Source Terms9
On Discontinuous and Continuous Approximations to Second-Kind Volterra Integral Equations8
New Log Basis Functions with a Scaling Factor and Their Applications8
Space-Time Decomposition of Kalman Filter8
Fusing Infrared and Visible Images via a First-Order Model7
Green Function Method for Quantum Transport Based on the Generalized Fourier Transform6
Low Rank and Total Variation Based Two-Phase Method for Image Deblurring with Salt-and-Pepper Impulse Noise6
Mixed Finite Element Methods for the Ferrofluid Model with Magnetization Paralleled to the Magnetic Field6
Convergence Analysis of a Quasi-Monte Carlo-Based Deep Learning Algorithm for Solving Partial Differential Equations5
Enhancing RBF-FD Efficiency for Highly Non-Uniform Node Distributions via Adaptivity5
PI-VEGAN: Physics Informed Variational Embedding Generative Adversarial Networks for Stochastic Differential Equations5
A Class of Efficient Multistep Methods for Forward Backward Stochastic Differential Equations4
A Study on CFL Conditions for the DG Solution of Conservation Laws on Adaptive Moving Meshes4
Convergence of Weak Galerkin Finite Element Method for Second Order Linear Wave Equation in Heterogeneous Media4
HRW: Hybrid Residual and Weak Form Loss for Solving Elliptic Interface Problems with Neural Network4
Efficient Hermite Spectral-Galerkin Methods for Nonlocal Diffusion Equations in Unbounded Domains4
A Space-Time Extrapolation Cascadic Multigrid Method for 2D Linear Parabolic Problems4
Manifold Triangular Mesh Editing Based on Finite Differences and Fourier Series4
An Energy Stable Filtered Backward Euler Scheme for the MBE Equation with Slope Selection4
Implicit-Explicit Time Discretization Schemes for a Class of Semilinear Wave Equations with Nonautonomous Dampings4
Numerical Algorithm with Fourth-Order Spatial Accuracy for Solving the Time-Fractional Dual-Phase-Lagging Nanoscale Heat Conduction Equation3
Semi-Discrete and Fully Discrete Weak Galerkin Finite Element Methods for a Quasistatic Maxwell Viscoelastic Model3
Projection Improved SPAI Preconditioner for FGMRES3
Stability and Error Analysis of SAV Semi-Discrete Scheme for Cahn-Hilliard-Navier-Stokes Model3
A BDF2-SSAV Numerical Scheme with Fourier-Spectral Method for a Droplet Thin Film Coarsening Model3
A Highly Efficient Adaptive Mesh Refinement Algorithm for the 1D Schrödinger-Poisson Problem3
On Quadratic Wasserstein Metric with Squaring Scaling for Seismic Velocity Inversion3
Analysis of Deep Ritz Methods for Semilinear Elliptic Equations3
A Hybrid Scheme of Level Set and Diffuse Interface Methods for Simulating Multi-Phase Compressible Flows2
Machine Learning-Based Bias Correction for the GEIM Model2
Fourier Convergence Analysis for a Fokker-Planck Equation of Tempered Fractional Langevin-Brownian Motion2
A Stabilized Physics Informed Neural Networks Method for Wave Equations2
Solving the Helmholtz Equation by Sparse Fundamental Solution Neural Network2
A Fast Compact Block-Centered Finite Difference Method on Graded Meshes for Time-Fractional Reaction-Diffusion Equations and Its Robust Analysis2
A Novel Class of Energy-Preserving Runge-Kutta Methods for the Korteweg-de Vries Equation2
The Discontinuous Galerkin Method by Divergence-Free Patch Reconstruction for Stokes Eigenvalue Problems2
Entirely Exponential-Type Scheme (E2S) for Optimization Problems with Singularly Perturbed ODE Constraints: The Model Problem2
Efficient and Accurate Numerical Methods Using the Accelerated Spectral Deferred Correction for Solving Fractional Differential Equations2
A Highly Efficient USOR-like Iterative Method for the Stationary Wigner Equation with Scattering2
A Robust Modified Weak Galerkin Finite Element Method for Reaction-Diffusion Equations2
Two Globally Convergent Hybrid CG Methods with Adaptive Restart Strategy for Riemannian Optimization2
A Robust Hybrid Spectral Method for Nonlocal Problems with Weakly Singular Kernels2
Convergence Analysis of OT-Flow for Sample Generation2
Convergent and Orthogonality Preserving Schemes for Approximating the Kohn-Sham Orbitals2
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