OOIR: Observatory of International Research

Papers

(The H4-Index of Structural Health Monitoring-An International Journal is 33. 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 2021-02-01 to 2025-02-01.)

Article	Citations
Damage cross detection between bridges monitored within one cluster using the difference ratio of projected strain monitoring data	262
Heterogeneous structural responses recovery based on multi-modal deep learning	182
Identification of bridge influence line and multiple-vehicle loads based on physics-informed neural networks	115
Detection of near-surface defects using a coin-tap approach based on the equivalent impact stiffness of Hertzian contact theory	109
Experimental research on online monitoring of high temperature and high speed airflow ablation of quartz ceramic thermal protection structure using guided wave	94
Cross-correlation vibro-acoustic modulation method for damage detection	74
Damage mode classification in CFRP laminates using convolutional autoencoder and convolutional neural network on acoustic emission waveforms	65
An efficient online outlier recognition method of dam monitoring data based on improved M-robust regression	61
Pitting corrosion prediction based on electromechanical impedance and convolutional neural networks	60
Meta-model structural monitoring with cutting-edge AAE-VMD fusion alongside optimized machine learning methods	57
New approach for multidimensional prognostic of stochastic time series based on sparse-based fractional Levy quaternion extended Kalman filter	51
Looseness monitoring of multiple M1 bolt joints using multivariate intrinsic multiscale entropy analysis and Lorentz signal-enhanced piezoelectric active sensing	50
Novelty detection of cable-stayed bridges based on cable force correlation exploration using spatiotemporal graph convolutional networks	47
Nonlinear ultrasonic Lamb wave phased array imaging based on hybrid array and time-reversal of harmonic	47
Enhancing Lamb wave-based damage diagnosis in composite materials using a pseudo-damage boosted convolutional neural network approach	47
Railway defect detection based on track geometry using supervised and unsupervised machine learning	47
All-fiber photoacoustic system for large-area nondestructive testing	45
Corrigendum to Predictive information and maintenance optimization based on decision theory: a case study considering a welded joint in an offshore wind turbine support structure	44
Deep learning neural networks with input processing for vibration-based bearing fault diagnosis under imbalanced data conditions	44
Integrating visual sensing and structural identification using 3D-digital image correlation and topology optimization to detect and reconstruct the 3D geometry of structural damage	43
Resilient fast convolutional sparse filtering with convergence directivity for the bearing fault diagnosis	42
Vibration-based structural damage localization through a discriminant analysis strategy with cepstral coefficients	39
The early warning method of Dagangshan high-arch dam risk based on the time series prediction of the multivariate monitoring data	37
Multi-modal model updating of miter gates on navigational locks	37
Statistics-based baseline-free approach for rapid inspection of delamination in composite structures using ultrasonic guided waves	36

An enhanced topological analysis for Lamb waves based SHM methods	36
Examining the contribution of near real-time data for rapid seismic loss assessment of structures	35
Novel tensor subspace system identification algorithm to identify time-varying modal parameters of bridge structures	35
Detecting bolt looseness of flanged joint based on multiple-mode conversion	35
Small-sample damage detection of bleacher structure based on GAN and MSS-CNN models	35
Acoustic emission monitoring of corrosion in steel pipes using Lamb-type helical waves	35
Monitoring of self-healing in concrete with micro-capsules using a combination of air-coupled surface wave and computer-vision techniques	35
Multiple-input, multiple-output modal testing of a Hawk T1A aircraft: a new full-scale dataset for structural health monitoring	34
Acoustic sensing and autoencoder approach for abnormal gas detection in a spent nuclear fuel canister mock-up	33
Multi-objective SHM sensor path optimisation for damage detection in large composite stiffened panels	33