Engineering With Computers

Papers
(The H4-Index of Engineering With Computers is 42. 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 2020-05-01 to 2024-05-01.)
ArticleCitations
Boosted binary Harris hawks optimizer and feature selection174
Wild horse optimizer: a new meta-heuristic algorithm for solving engineering optimization problems166
A novel hybrid extreme learning machine–grey wolf optimizer (ELM-GWO) model to predict compressive strength of concrete with partial replacements for cement146
Sand Cat swarm optimization: a nature-inspired algorithm to solve global optimization problems143
A new hybrid grey wolf optimizer-feature weighted-multiple kernel-support vector regression technique to predict TBM performance136
Free vibration and buckling analyses of CNT reinforced laminated non-rectangular plates by discrete singular convolution method134
Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration128
Porosity-dependent vibration analysis of FG microplates embedded by polymeric nanocomposite patches considering hygrothermal effect via an innovative plate theory98
Enhanced grasshopper optimization algorithm using elite opposition-based learning for solving real-world engineering problems88
A comprehensive computational approach for nonlinear thermal instability of the electrically FG-GPLRC disk based on GDQ method88
A computational framework for propagated waves in a sandwich doubly curved nanocomposite panel82
RETRACTED ARTICLE: Chaotic simulation of the multi-phase reinforced thermo-elastic disk using GDQM82
Application of exact continuum size-dependent theory for stability and frequency analysis of a curved cantilevered microtubule by considering viscoelastic properties74
A multi-objective optimization algorithm for feature selection problems72
SGOA: annealing-behaved grasshopper optimizer for global tasks70
A novel technique based on the improved firefly algorithm coupled with extreme learning machine (ELM-IFF) for predicting the thermal conductivity of soil70
Reduction of computational error by optimizing SVR kernel coefficients to simulate concrete compressive strength through the use of a human learning optimization algorithm67
Frequency simulation of viscoelastic multi-phase reinforced fully symmetric systems66
An efficient computational model for vibration behavior of a functionally graded sandwich plate in a hygrothermal environment with viscoelastic foundation effects63
Characteristics of melting heat transport of blood with time-dependent cross-nanofluid model using Keller–Box and BVP4C method62
A novel chaotic Henry gas solubility optimization algorithm for solving real-world engineering problems61
An improved particle swarm optimization with backtracking search optimization algorithm for solving continuous optimization problems58
On the layerwise finite element formulation for static and free vibration analysis of functionally graded sandwich plates58
Boosting whale optimization with evolution strategy and Gaussian random walks: an image segmentation method58
The free vibration analysis of hybrid porous nanocomposite joined hemispherical–cylindrical–conical shells56
An efficient approach for damage identification based on improved machine learning using PSO-SVM54
Size-dependent nonlinear bending behavior of porous FGM quasi-3D microplates with a central cutout based on nonlocal strain gradient isogeometric finite element modelling53
Dynamic Gaussian bare-bones fruit fly optimizers with abandonment mechanism: method and analysis53
Stochastic paint optimizer: theory and application in civil engineering53
A new auto-tuning model for predicting the rock fragmentation: a cat swarm optimization algorithm53
Hybrid metaheuristic algorithm using butterfly and flower pollination base on mutualism mechanism for global optimization problems51
Machine-learning-assisted shear strength prediction of reinforced concrete beams with and without stirrups51
Performance evaluation of hybrid GA–SVM and GWO–SVM models to predict earthquake-induced liquefaction potential of soil: a multi-dataset investigation51
Reinforced concrete deep beam shear strength capacity modelling using an integrative bio-inspired algorithm with an artificial intelligence model50
Multi-extremum-modified response basis model for nonlinear response prediction of dynamic turbine blisk47
Improved Slime Mould Algorithm based on Firefly Algorithm for feature selection: A case study on QSAR model46
The role of spatial variation of the nonlocal parameter on the free vibration of functionally graded sandwich nanoplates45
Systematic multiscale models to predict the compressive strength of self-compacting concretes modified with nanosilica at different curing ages45
An ANN-adaptive dynamical harmony search algorithm to approximate the flyrock resulting from blasting45
Stochastic deep collocation method based on neural architecture search and transfer learning for heterogeneous porous media45
A novel systematic and evolved approach based on XGBoost-firefly algorithm to predict Young’s modulus and unconfined compressive strength of rock44
A multi-strategy enhanced salp swarm algorithm for global optimization44
Prediction of axial load capacity of rectangular concrete-filled steel tube columns using machine learning techniques42
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