OOIR: Observatory of International Research

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 2022-06-01 to 2026-06-01.)

Article	Citations
Model uncertainty quantification of a degradation model of miter gates using normalizing flow-based likelihood-free inference	92
Multimodal feature fusion for detecting debonding in FRP-reinforced concrete interfaces using dual-branch CNN	91
Small-sample damage detection of bleacher structure based on GAN and MSS-CNN models	86
Percussion-based loosening detection method for multi-bolt structure using convolutional neural network DenseNet-CBAM	84
U ² CrackNet: a deeper architecture with two-level nested U-structure for pavement crack detection	77
Bridge damage detection using unsupervised learning with vehicle-induced vibrations	75
Multivariate variational mode decomposition and generalized composite multiscale permutation entropy for multichannel fault diagnosis of hoisting machinery system	69
Structural nonlinear damage identification based on the information distance of GNPAX/GARCH model and its experimental study	61
Localized corrosion monitoring and quantitative evaluation of steel wires in the splay saddle using distributed optical fiber sensing technology	58
Semantic segmentation model for concrete cracks based on parallel Swin-CNNs framework	57
A novel fault evaluation method based on nonlinear vibration features and Euclidean distance measurement for grid-like structures	57
Dynamical modeling of spur gear with pitting based on image processing tooth surface	53
Vibration-based structural damage localization through a discriminant analysis strategy with cepstral coefficients	53
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	50
Meta-model structural monitoring with cutting-edge AAE-VMD fusion alongside optimized machine learning methods	49
Entire loosening stage monitoring of bolted joints via nonlinear electro-mechanical impedance spectroscopy	48
An intelligent detection approach for multi-part cover based on deep learning under unbalanced and small size samples	45
Potential and limitations of NARX for defect detection in guided wave signals	43
Bridge damage identification using unsupervised deep learning through variational autoencoders	42
SM-YOLO-HybridBridge: a lightweight deep learning model for surface defect detection and structural health monitoring in hybrid wooden–steel bridges	41
Imaging cracks in orthotropic steel decks based on guided wave and variational Bayesian robust principal component analysis	41
Design and experimental investigation of a nondestructive detector for bolt loosening length of railway track fasteners	40
A gear fault diagnosis method based on auditory cortical frequency-domain response in real workshop noise environment	39
A novel edge intelligence application model with lightweight network and antinoise ability for bearing fault diagnosis	39
Extracting and identifying essential characteristics of gear pitting and cracks with consideration of fault mechanisms	39

20 years of monitoring of a steel jacket offshore platform: variability of environmental and modal parameters	39
BI-Sandwich: a cross-domain model for fault diagnosis of aircraft engine main shaft bearings	38
Multi-modal model updating of miter gates on navigational locks	38
Bayesian system identification considering the spatial correlation of distributed loads	38
Vibration-based monitoring of a super tall building with TMD during typhoon Ampil	38
Reliability-constrained maintenance optimization for safety-critical wind turbine bearings with distribution-free predictive uncertainty	37
Physics-informed deep learning for scattered full wavefield reconstruction from a sparse set of sensor data for impact diagnosis in structural health monitoring	37
Few-shot fault diagnosis of transmission components under domain shift based on meta-transfer relation network	37
Multiple-input, multiple-output modal testing of a Hawk T1A aircraft: a new full-scale dataset for structural health monitoring	37
Enhancing Lamb wave-based damage diagnosis in composite materials using a pseudo-damage boosted convolutional neural network approach	36
Wind turbine gearbox fault diagnosis via adaptive IMFogram	36
Multi-level damage diagnosis on stiffened composite panels based on a damage-uninformative digital twin	36