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 2021-08-01 to 2025-08-01.)

Article	Citations
A novel fault evaluation method based on nonlinear vibration features and Euclidean distance measurement for grid-like structures	327
Structural nonlinear damage identification based on the information distance of GNPAX/GARCH model and its experimental study	224
Vibration-based structural damage localization through a discriminant analysis strategy with cepstral coefficients	143
Semantic segmentation model for concrete cracks based on parallel Swin-CNNs framework	130
Modeling of an aircraft structural health monitoring sensor network for operational impact assessment	75
Dynamical modeling of spur gear with pitting based on image processing tooth surface	71
Interpretable convolutional sparse coding method of Lamb waves for damage identification and localization	56
Percussion-based loosening detection method for multi-bolt structure using convolutional neural network DenseNet-CBAM	55
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	53
Small-sample damage detection of bleacher structure based on GAN and MSS-CNN models	53
Multi-level damage diagnosis on stiffened composite panels based on a damage-uninformative digital twin	51
Wind turbine gearbox fault diagnosis via adaptive IMFogram	50
Looseness monitoring of multiple M1 bolt joints using multivariate intrinsic multiscale entropy analysis and Lorentz signal-enhanced piezoelectric active sensing	49
Laboratory and field experiment validations on the use of hydraulic transients for estimating buried water pipeline deterioration	47
Potential and limitations of NARX for defect detection in guided wave signals	46
Multivariate variational mode decomposition and generalized composite multiscale permutation entropy for multichannel fault diagnosis of hoisting machinery system	45
Entire loosening stage monitoring of bolted joints via nonlinear electro-mechanical impedance spectroscopy	44
Meta-model structural monitoring with cutting-edge AAE-VMD fusion alongside optimized machine learning methods	44
Heterogeneous structural responses recovery based on multi-modal deep learning	44
Multimodal feature fusion for detecting debonding in FRP-reinforced concrete interfaces using dual-branch CNN	43
An intelligent detection approach for multi-part cover based on deep learning under unbalanced and small size samples	43
Model uncertainty quantification of a degradation model of miter gates using normalizing flow-based likelihood-free inference	42
A novel edge intelligence application model with lightweight network and antinoise ability for bearing fault diagnosis	41
Multiple-input, multiple-output modal testing of a Hawk T1A aircraft: a new full-scale dataset for structural health monitoring	40
20 years of monitoring of a steel jacket offshore platform: variability of environmental and modal parameters	39

Multi-modal model updating of miter gates on navigational locks	38
Vibration-based monitoring of a super tall building with TMD during typhoon Ampil	37
Imaging cracks in orthotropic steel decks based on guided wave and variational Bayesian robust principal component analysis	37
Bridge inspection component registration for damage evolution	36
Hybrid artificial intelligence-based inference models for accurately predicting dam body displacements: A case study of the Fei Tsui dam	35
Physics-informed deep learning for scattered full wavefield reconstruction from a sparse set of sensor data for impact diagnosis in structural health monitoring	34
U²CrackNet: a deeper architecture with two-level nested U-structure for pavement crack detection	34
Enhancing Lamb wave-based damage diagnosis in composite materials using a pseudo-damage boosted convolutional neural network approach	33
Leakage aperture identification of natural gas pipeline based on compressed acquisition and DSAE	33
Railway defect detection based on track geometry using supervised and unsupervised machine learning	33