Jun Lu

Affiliations:
  • Nanjing Hydraulic Research Institute, Material and Structural Engineering Department, China


According to our database1, Jun Lu authored at least 12 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2025
A novel local meshless collocation method with partial upwind scheme for solving convection-dominated diffusion problems.
Eng. Comput., February, 2025

Simulation of plate bending vibration problems by the meshless backward substitution method.
Comput. Math. Appl., 2025

An efficient meshless collocation method for the analysis of two-dimensional piezoelectric structures.
Appl. Math. Lett., 2025

2024
A Gaussian-cubic backward substitution method for the four-order pure stream function formulation of two-dimensional incompressible viscous flows.
Eng. Comput., June, 2024

The novel backward substitution method for the simulation of three-dimensional time-harmonic elastic wave problems.
Appl. Math. Lett., April, 2024

Numerical simulations of two-dimensional incompressible Navier-Stokes equations by the backward substitution projection method.
Appl. Math. Comput., April, 2024

Numerical treatment of multi-dimensional time-fractional Benjamin-Bona-Mahony-Burgers equations in arbitrary domains with a novel improvised RBF-based method.
Comput. Math. Appl., 2024

2023
A novel RBF-based meshless method for solving time-fractional transport equations in 2D and 3D arbitrary domains.
Eng. Comput., 2023

A novel Fourier-based meshless method for (3+1)-dimensional fractional partial differential equation with general time-dependent boundary conditions.
Appl. Math. Lett., 2023

2022
Space-time backward substitution method for nonlinear transient heat conduction problems in functionally graded materials.
Comput. Math. Appl., 2022

2018
A novel meshless method for fully nonlinear advection-diffusion-reaction problems to model transfer in anisotropic media.
Appl. Math. Comput., 2018

2016
Fast simulation of multi-dimensional wave problems by the sparse scheme of the method of fundamental solutions.
Comput. Math. Appl., 2016


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