International Journal for Numerical Methods in Fluids

Papers
(The H4-Index of International Journal for Numerical Methods in Fluids is 14. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
Designing artificial neural network of nanoparticle diameter and solid–fluid interfacial layer on single‐walled carbon nanotubes/ethylene glycol nanofluid flow on thin slendering needles89
Imposing accurate wall boundary conditions in corrective‐matrix‐based moving particle semi‐implicit method for free surface flow22
Basic verification of a numerical framework applied to a morphology adaptive multifield two‐fluid model considering bubble motions19
On the performance of WENO/TENO schemes to resolve turbulence in DNS/LES of high‐speed compressible flows18
The moving discontinuous Galerkin finite element method with interface condition enforcement for compressible viscous flows17
An explicit‐implicit numerical scheme for time fractional boundary layer flows17
Multi‐fidelity surrogate reduced‐order modeling of steady flow estimation17
A pressure‐based method for weakly compressible two‐phase flows under a Baer–Nunziato type model with generic equations of state and pressure and velocity disequilibrium16
The QUICK scheme is a third‐order finite‐volume scheme with point‐valued numerical solutions16
Modified class of explicit and enhanced stability region schemes: Application to mixed convection flow in a square cavity with a convective wall16
A robust overset assembly method for multiple overlapping bodies15
Bifurcation points and bifurcated branches in fluids mechanics by high‐order mesh‐free geometric progression algorithms15
A novel structure preserving semi‐implicit finite volume method for viscous and resistive magnetohydrodynamics14
Spring‐network model of red blood cell: From membrane mechanics to validation14
Optimization of the numerical treatment of the Darcy–Forchheimer flow of Ree–Eyring fluid with chemical reaction by using artificial neural networks14
Mesh‐free model for Hopf's bifurcation points in incompressible fluid flows problems14
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