International Journal of Nonlinear Sciences and Numerical Simulation

Papers
(The TQCC of International Journal of Nonlinear Sciences and Numerical Simulation is 4. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
On the penetration efficiency of ceramic fragments through steel targets50
Ground state solutions of Schrödinger system with fractionalp-Laplacian29
Buoyancy driven flow characteristics inside a cavity equiped with diamond elliptic array20
Frontmatter11
A class of piecewise fractional functional differential equations with impulsive9
Reduced basis method for the nonlinear Poisson–Boltzmann equation regularized by the range-separated canonical tensor format9
Mathematical model of fluid flow in a double constricted tapered tube with permeable boundary9
PS and GW optimization of variable sliding gains mode control to stabilize a wind energy conversion system under the real wind in Adrar, Algeria8
Extended logistic map for encryption of digital images8
The simulation of two-dimensional plane problems using ordinary state-based peridynamics8
A Chebyshev collocation method for solving the non-linear variable-order fractional Bagley–Torvik differential equation8
Frequency responses for induced neural transmembrane potential by electromagnetic waves (1 kHz to 1 GHz)6
Frontmatter5
A (2 + 1)-dimensional variable-coefficients extension of the Date–Jimbo–Kashiwara–Miwa equation: Lie symmetry analysis, optimal system and exact solutions5
A generalized stochastic SIR epidemic model with vaccination rules5
Impacts of heuristic parameters in PSO inverse kinematics solvers5
Lie symmetry analysis for two-phase flow with mass transfer5
Higher order codimension bifurcations in a discrete-time toxic-phytoplankton–zooplankton model with Allee effect5
Bifurcation analysis of a new stochastic traffic flow model4
Coordinated target tracking in sensor networks by maximizing mutual information4
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