Structural Health Monitoring-An International Journal

Papers
(The H4-Index of Structural Health Monitoring-An International Journal is 36. 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 2021-11-01 to 2025-11-01.)
ArticleCitations
Dynamical modeling of spur gear with pitting based on image processing tooth surface242
Extracting and identifying essential characteristics of gear pitting and cracks with consideration of fault mechanisms164
Multivariate variational mode decomposition and generalized composite multiscale permutation entropy for multichannel fault diagnosis of hoisting machinery system135
Vibration-based structural damage localization through a discriminant analysis strategy with cepstral coefficients80
Enhancing Lamb wave-based damage diagnosis in composite materials using a pseudo-damage boosted convolutional neural network approach80
Multimodal feature fusion for detecting debonding in FRP-reinforced concrete interfaces using dual-branch CNN67
Bridge inspection component registration for damage evolution61
Laboratory and field experiment validations on the use of hydraulic transients for estimating buried water pipeline deterioration61
Model uncertainty quantification of a degradation model of miter gates using normalizing flow-based likelihood-free inference59
U2CrackNet: a deeper architecture with two-level nested U-structure for pavement crack detection59
Looseness monitoring of multiple M1 bolt joints using multivariate intrinsic multiscale entropy analysis and Lorentz signal-enhanced piezoelectric active sensing56
Meta-model structural monitoring with cutting-edge AAE-VMD fusion alongside optimized machine learning methods56
Design and experimental investigation of a nondestructive detector for bolt loosening length of railway track fasteners55
An intelligent detection approach for multi-part cover based on deep learning under unbalanced and small size samples55
A novel edge intelligence application model with lightweight network and antinoise ability for bearing fault diagnosis53
Entire loosening stage monitoring of bolted joints via nonlinear electro-mechanical impedance spectroscopy53
20 years of monitoring of a steel jacket offshore platform: variability of environmental and modal parameters50
Multi-modal model updating of miter gates on navigational locks49
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 reservoir48
Imaging cracks in orthotropic steel decks based on guided wave and variational Bayesian robust principal component analysis48
Wind turbine gearbox fault diagnosis via adaptive IMFogram47
Bridge damage detection using unsupervised learning with vehicle-induced vibrations45
Multi-level damage diagnosis on stiffened composite panels based on a damage-uninformative digital twin44
Heterogeneous structural responses recovery based on multi-modal deep learning42
Multiple-input, multiple-output modal testing of a Hawk T1A aircraft: a new full-scale dataset for structural health monitoring41
Localized corrosion monitoring and quantitative evaluation of steel wires in the splay saddle using distributed optical fiber sensing technology41
Bayesian system identification considering the spatial correlation of distributed loads41
Small-sample damage detection of bleacher structure based on GAN and MSS-CNN models41
Potential and limitations of NARX for defect detection in guided wave signals39
Semantic segmentation model for concrete cracks based on parallel Swin-CNNs framework39
A novel fault evaluation method based on nonlinear vibration features and Euclidean distance measurement for grid-like structures39
Percussion-based loosening detection method for multi-bolt structure using convolutional neural network DenseNet-CBAM39
Structural nonlinear damage identification based on the information distance of GNPAX/GARCH model and its experimental study38
Modeling of an aircraft structural health monitoring sensor network for operational impact assessment38
Vibration-based monitoring of a super tall building with TMD during typhoon Ampil37
Aging state detection of viscoelastic sandwich structure using redundant second generation wavelet packet transform and fuzzy support vector data description36
Railway defect detection based on track geometry using supervised and unsupervised machine learning36
Physics-informed deep learning for scattered full wavefield reconstruction from a sparse set of sensor data for impact diagnosis in structural health monitoring36
Quantifying the extent of local damage of a 60-year-old prestressed concrete bridge: A hybrid SHM approach36
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