Structural Health Monitoring-An International Journal

Papers
(The H4-Index of Structural Health Monitoring-An International Journal is 35. 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 2021-10-01 to 2025-10-01.)
ArticleCitations
A novel fault evaluation method based on nonlinear vibration features and Euclidean distance measurement for grid-like structures236
Dynamical modeling of spur gear with pitting based on image processing tooth surface160
Potential and limitations of NARX for defect detection in guided wave signals135
Meta-model structural monitoring with cutting-edge AAE-VMD fusion alongside optimized machine learning methods78
An intelligent detection approach for multi-part cover based on deep learning under unbalanced and small size samples77
Interpretable convolutional sparse coding method of Lamb waves for damage identification and localization61
Structural nonlinear damage identification based on the information distance of GNPAX/GARCH model and its experimental study59
Hybrid artificial intelligence-based inference models for accurately predicting dam body displacements: A case study of the Fei Tsui dam57
Design and experimental investigation of a nondestructive detector for bolt loosening length of railway track fasteners57
Vibration-based monitoring of a super tall building with TMD during typhoon Ampil56
Entire loosening stage monitoring of bolted joints via nonlinear electro-mechanical impedance spectroscopy55
Multimodal feature fusion for detecting debonding in FRP-reinforced concrete interfaces using dual-branch CNN53
Model uncertainty quantification of a degradation model of miter gates using normalizing flow-based likelihood-free inference52
20 years of monitoring of a steel jacket offshore platform: variability of environmental and modal parameters52
A novel edge intelligence application model with lightweight network and antinoise ability for bearing fault diagnosis52
Multi-modal model updating of miter gates on navigational locks50
Imaging cracks in orthotropic steel decks based on guided wave and variational Bayesian robust principal component analysis49
Multi-level damage diagnosis on stiffened composite panels based on a damage-uninformative digital twin47
Analysis of the galleries cracking causes in the backfill area of pumped storage power station based on monitoring and numerical simulation: a case study of Hohhot upper reservoir47
Wind turbine gearbox fault diagnosis via adaptive IMFogram46
Bridge inspection component registration for damage evolution45
Heterogeneous structural responses recovery based on multi-modal deep learning45
Railway defect detection based on track geometry using supervised and unsupervised machine learning41
U2CrackNet: a deeper architecture with two-level nested U-structure for pavement crack detection41
Bridge damage detection using unsupervised learning with vehicle-induced vibrations41
Multivariate variational mode decomposition and generalized composite multiscale permutation entropy for multichannel fault diagnosis of hoisting machinery system40
Extracting and identifying essential characteristics of gear pitting and cracks with consideration of fault mechanisms40
Percussion-based loosening detection method for multi-bolt structure using convolutional neural network DenseNet-CBAM38
Semantic segmentation model for concrete cracks based on parallel Swin-CNNs framework38
Enhancing Lamb wave-based damage diagnosis in composite materials using a pseudo-damage boosted convolutional neural network approach38
Vibration-based structural damage localization through a discriminant analysis strategy with cepstral coefficients37
Modeling of an aircraft structural health monitoring sensor network for operational impact assessment37
Small-sample damage detection of bleacher structure based on GAN and MSS-CNN models37
Looseness monitoring of multiple M1 bolt joints using multivariate intrinsic multiscale entropy analysis and Lorentz signal-enhanced piezoelectric active sensing37
Multiple-input, multiple-output modal testing of a Hawk T1A aircraft: a new full-scale dataset for structural health monitoring35
Aging state detection of viscoelastic sandwich structure using redundant second generation wavelet packet transform and fuzzy support vector data description35
Bayesian system identification considering the spatial correlation of distributed loads35
Physics-informed deep learning for scattered full wavefield reconstruction from a sparse set of sensor data for impact diagnosis in structural health monitoring35
Laboratory and field experiment validations on the use of hydraulic transients for estimating buried water pipeline deterioration35
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