OOIR: Observatory of International Research

Papers

(The H4-Index of Computer Methods in Applied Mechanics and Engineering is 63. 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 2021-04-01 to 2025-04-01.)

Article	Citations
Physics-informed machine learning in asymptotic homogenization of elliptic equations	2072
Quasi-optimal mesh generation for the virtual element method: A fully adaptive remeshing procedure	655
Physics-augmented neural networks for constitutive modeling of hyperelastic geometrically exact beams	638
Surrogate-assisted Kriging training utilizing boxplot and correlation coefficient for large-scale data	610
A Discontinuity-Enriched Finite Element Method (DE-FEM) for modeling quasi-static fracture growth in brittle solids	317
Two novel discontinuity-removing PINNs for solving variable coefficient elliptic interface problems on curved surfaces	295
Probabilistic Learning on Manifolds (PLoM) for cross-scale diagnostics in structural dynamics	226
DMT-OMPA: Innovative applications of an efficient adversarial Marine Predators Algorithm based on dynamic matrix transformation in engineering design optimization	223
Convergence of multirate fixed stress split iterative schemes for a fractured Biot model	218
Constructing boundary-identical microstructures via guided diffusion for fast multiscale topology optimization	198
SUPG-stabilized time-DG finite and virtual elements for the time-dependent advection–diffusion equation	159
Learning implicit yield surface models with uncertainty quantification for noisy datasets	156
An inter-system iteration technique in the whole time domain implemented by the coupling of FEM and TD-BEM	149
Tree–cotree-based tearing and interconnecting for 3D magnetostatics: A dual–primal approach	147
A deep learning framework to predict microstructurally small fatigue crack growth in three-dimensional polycrystals	143
MSFPSO: Multi-algorithm integrated particle swarm optimization with novel strategies for solving complex engineering design problems	138
A Least-Squares-Based Neural Network (LS-Net) for Solving Linear Parametric PDEs	135
Accelerating the data-driven multiscale finite element analysis for elastoplastic materials by using proper orthogonal decomposition and transformer architecture	134
Superconvergent isogeometric collocation with box splines	130
Data-driven multifidelity topology design with multi-channel variational auto-encoder for concurrent optimization of multiple design variable fields	129
An univariate method for multi-material topology optimization and its application to engineering structures with unstructured meshes	129
A hybrid isogeometric collocation method on implicitly trimmed domains	126
Non-overlapping, Schwarz-type domain decomposition method for physics and equality constrained artificial neural networks	122
A BEM-based topology optimization for acoustic problems considering tangential derivative of sound pressure	119
Efficient global adaptive Kriging approximation method in terms of moment for reliability-based design optimization	113

Convolution finite element method for analysis of piezoelectric materials	111
Editorial Board	111
An extensible set of parent elements to facilitate the isoparametric concept for polygons at finite strains: A scaled boundary finite element approach	111
Generalized multiscale approximation of a mixed finite element method with velocity elimination for Darcy flow in fractured porous media	108
Non-convolutional second-order complex-frequency-shifted perfectly matched layers for transient elastic wave propagation	104
A new approach based on spectral graph theory to avoiding enclosed holes in topology optimization	101
A machine learning-based viscoelastic–viscoplastic model for epoxy nanocomposites with moisture content	100
A variable-fidelity hybrid surrogate approach for quantifying uncertainties in the nonlinear response of braided composites	100
A deep learning method for multi-material diffusion problems based on physics-informed neural networks	98
An adaptive mesh refinement algorithm for phase-field fracture models: Application to brittle, cohesive, and dynamic fracture	97
Bayesian calibration of computer models based on Takagi–Sugeno fuzzy models	96
Highly efficient ensemble algorithms for computing the Stokes–Darcy equations	96
Polymorphic uncertainty quantification for engineering structures via a hyperplane modelling technique	94
A robust monolithic solver for phase-field fracture integrated with fracture energy based arc-length method and under-relaxation	94
Calibrating hypersonic turbulence flow models with the HIFiRE-1 experiment using data-driven machine-learned models	93
Efficient GPU accelerated topology optimization of composite structures with spatially varying fiber orientations	88
Enhancing efficiency in particle aggregation simulations: Coarse-grained particle modeling in the DEM-PBM coupled framework	88
Statistically compatible hyper-reduction for computational homogenization	84
A continuum and computational framework for viscoelastodynamics: I. Finite deformation linear models	83
Shape sensitivity of thermoacoustic oscillations in an annular combustor with a 3D adjoint Helmholtz solver	81
Red blood cell transport in bounded shear flow: On the effects of cell viscoelastic properties	78
EKF–SINDy: Empowering the extended Kalman filter with sparse identification of nonlinear dynamics	78
Porous structure optimization via non-uniform thermal diffusion	78
A transfer learning physics-informed deep learning framework for modeling multiple solute dynamics in unsaturated soils	77
Computational homogenization of fully coupled multiphase flow in deformable porous media	76
Machine learning enhanced exploration of bubble dynamics beneath a horizontal wall	76
Machine learning predictive model for dynamic response of rising bubbles impacting on a horizontal wall	74
Inferring unknown unknowns: Regularized bias-aware ensemble Kalman filter	74
Higher temporal accuracy for LES-C turbulence models	70
Automated computation of topological derivatives with application to nonlinear elasticity and reaction–diffusion problems	70
Space–time computational flow analysis: Unconventional methods and first-ever solutions	68
Embedment of WENO-Z reconstruction in Lagrangian WLS scheme implemented on GPU for strongly-compressible multi-phase flows	68
Weak-form latent space dynamics identification	68
Diffusivity of porous media considering the coupling influence of pore shape- and size-polydispersities on the percolation: Theoretical and numerical studies	67
Transcranial stimulation analysis using the smoothed finite element method	67
Physics-constrained Data-Driven Variational method for discrepancy modeling	66
Hybridized isogeometric method for elliptic problems on CAD surfaces with gaps	66
A neural kernel method for capturing multiscale high-dimensional micromorphic plasticity of materials with internal structures	65
Isogeometric schemes in rarefied gas dynamics context	63
Rapid machine-learning enabled design and control of precise next-generation cryogenic surgery in dermatology	63
Editorial Board	63