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 2021-06-01 to 2025-06-01.)

Article	Citations
Wind turbine gearbox fault diagnosis via adaptive IMFogram	300
Percussion-based loosening detection method for multi-bolt structure using convolutional neural network DenseNet-CBAM	208
A novel fault evaluation method based on nonlinear vibration features and Euclidean distance measurement for grid-like structures	135
Multiple-input, multiple-output modal testing of a Hawk T1A aircraft: a new full-scale dataset for structural health monitoring	121
Enhancing Lamb wave-based damage diagnosis in composite materials using a pseudo-damage boosted convolutional neural network approach	109
Multi-modal model updating of miter gates on navigational locks	80
Model uncertainty quantification of a degradation model of miter gates using normalizing flow-based likelihood-free inference	69
Laboratory and field experiment validations on the use of hydraulic transients for estimating buried water pipeline deterioration	68
20 years of monitoring of a steel jacket offshore platform: variability of environmental and modal parameters	54
Multimodal feature fusion for detecting debonding in FRP-reinforced concrete interfaces using dual-branch CNN	54
Structural nonlinear damage identification based on the information distance of GNPAX/GARCH model and its experimental study	54
Entire loosening stage monitoring of bolted joints via nonlinear electro-mechanical impedance spectroscopy	53
U²CrackNet: a deeper architecture with two-level nested U-structure for pavement crack detection	50
Vibration-based structural damage localization through a discriminant analysis strategy with cepstral coefficients	50
An intelligent detection approach for multi-part cover based on deep learning under unbalanced and small size samples	48
Interpretable convolutional sparse coding method of Lamb waves for damage identification and localization	47
Physics-informed deep learning for scattered full wavefield reconstruction from a sparse set of sensor data for impact diagnosis in structural health monitoring	44
Railway defect detection based on track geometry using supervised and unsupervised machine learning	41
Modeling of an aircraft structural health monitoring sensor network for operational impact assessment	40
Dynamical modeling of spur gear with pitting based on image processing tooth surface	39
Hybrid artificial intelligence-based inference models for accurately predicting dam body displacements: A case study of the Fei Tsui dam	39
Small-sample damage detection of bleacher structure based on GAN and MSS-CNN models	39
Imaging cracks in orthotropic steel decks based on guided wave and variational Bayesian robust principal component analysis	38
Looseness monitoring of multiple M1 bolt joints using multivariate intrinsic multiscale entropy analysis and Lorentz signal-enhanced piezoelectric active sensing	38
Potential and limitations of NARX for defect detection in guided wave signals	38

Semantic segmentation model for concrete cracks based on parallel Swin-CNNs framework	38
Multivariate variational mode decomposition and generalized composite multiscale permutation entropy for multichannel fault diagnosis of hoisting machinery system	37
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	36
Vibration-based monitoring of a super tall building with TMD during typhoon Ampil	36
Multi-level damage diagnosis on stiffened composite panels based on a damage-uninformative digital twin	35
A novel edge intelligence application model with lightweight network and antinoise ability for bearing fault diagnosis	35
Meta-model structural monitoring with cutting-edge AAE-VMD fusion alongside optimized machine learning methods	34
Heterogeneous structural responses recovery based on multi-modal deep learning	34