OOIR: Observatory of International Research

Papers

(The H4-Index of Structural Health Monitoring-An International Journal is 34. 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 2021-03-01 to 2025-03-01.)

Article	Citations
A review of structural health monitoring of bonded structures using electromechanical impedance spectroscopy	263
Diagnosis of internal cracks in concrete using vibro-acoustic modulation and machine learning	183
Adaptive time-domain impact extraction method for multi-source impact vibration signal of diesel engine	118
Multi-time Lamb waves space wavenumber imaging method based on ultrasonic-guided wavefield	109
Multiple-input, multiple-output modal testing of a Hawk T1A aircraft: a new full-scale dataset for structural health monitoring	95
Small-sample damage detection of bleacher structure based on GAN and MSS-CNN models	74
Novel tensor subspace system identification algorithm to identify time-varying modal parameters of bridge structures	68
Detecting bolt looseness of flanged joint based on multiple-mode conversion	62
Drive-by bridge damage detection using Mel-frequency cepstral coefficients and support vector machine	61
Online health monitoring of rotating machine elements using statistical spectral distances	60
A weighted frequency domain energy operator spectral method based on soft thresholding fast iterative filtering for rolling bearing incipient fault feature extraction	57
Processing and structural health monitoring of a composite overwrapped pressure vessel for hydrogen storage	51
Performance evaluation of Jensen–Shannon divergence-based incipient fault diagnosis: Theoretical proofs and validations	50
Acoustic sensing and autoencoder approach for abnormal gas detection in a spent nuclear fuel canister mock-up	47
Toward diagnostics of water-lubricated bearings of naval vessels by vibration analysis	47
A novel fault evaluation method based on nonlinear vibration features and Euclidean distance measurement for grid-like structures	47
A novel Lamb wave-based multi-damage dataset construction and quantification algorithm under the framework of multi-task deep learning	47
Monitoring of self-healing in concrete with micro-capsules using a combination of air-coupled surface wave and computer-vision techniques	45
A novel hybrid strategy for damage detection of wind turbine yaw bearing	44
A Feature Extraction & Selection Benchmark for Structural Health Monitoring	44
Adaptive resize-residual deep neural network for fault diagnosis of rotating machinery	43
3DGEN: a framework for generating custom-made synthetic 3D datasets for civil structure health monitoring	42
Entire loosening stage monitoring of bolted joints via nonlinear electro-mechanical impedance spectroscopy	39
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 reservoir	39
Leakage identification and numerical simulation of embankment dams based on infrared thermal imaging	37

Damage monitoring of glass/epoxy-curved laminates with different stacking sequences using acoustic emission	37
Health monitoring of sandwich composites with auxetic core subjected to indentation tests using acoustic emission	36
Quantitative acoustic emission investigation on the crack evolution in concrete prisms by frequency analysis based on wavelet packet transform	35
Pitting corrosion diagnostics and prognostics for miter gates using multiscale simulation and image inspection data	35
Multi-modal model updating of miter gates on navigational locks	35
Detection of near-surface defects using a coin-tap approach based on the equivalent impact stiffness of Hertzian contact theory	35
B-Spline signature responses in structural change detection: method development	35
The early warning method of Dagangshan high-arch dam risk based on the time series prediction of the multivariate monitoring data	35
An intelligent detection approach for multi-part cover based on deep learning under unbalanced and small size samples	34