Structural Health Monitoring-An International Journal

Papers
(The H4-Index of Structural Health Monitoring-An International Journal is 35. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
Pitting corrosion diagnostics and prognostics for miter gates using multiscale simulation and image inspection data278
B-Spline signature responses in structural change detection: method development196
An intelligent detection approach for multi-part cover based on deep learning under unbalanced and small size samples128
Special Issue: A Value of Information Perspective118
A meta-transfer learning prediction method with few-shot data for the remaining useful life of rolling bearing102
An improved approach for compressive sensing of vibration signals considering spectral leakage effect77
Spectral variational mode extraction and its application in fault detection of rolling bearing69
Two-level fusion of multi-sensor information for compressor blade crack detection based on self-attention mechanism68
Ultrasound tomography for health monitoring of carbon fibre–reinforced polymers using implanted nanocomposite sensor networks and enhanced reconstruction algorithm for the probabilistic inspection of 67
New robust adaptive beamforming for imaging damages scattering coherent Lamb waves64
Denoising method of weak fault acoustic emission signal under strong background noise of engine based on autoencoder and wavelet packet decomposition56
An information fusion approach for increased reliability of condition monitoring With homogeneous and heterogeneous sensor systems52
An innovative machine learning based framework for water distribution network leakage detection and localization51
Nonlinear-Lamb-wave-based plastic damage detection assisted by topologically designed metamaterial filters50
Multi-modal model updating of miter gates on navigational locks49
Fracture mode classification of UHPC based on deep learning and wavelet time–frequency spectrum derived from acoustic emission waveform48
Resilient fast convolutional sparse filtering with convergence directivity for the bearing fault diagnosis47
Performance assessment of steel cantilever beams based on connection behaviour using DIC technique and improved hybrid PSO algorithm47
A dynamic weighted joint distribution domain adaptation network for cross-machine fault diagnosis of rolling bearings46
A novel high-precision lightweight concrete bridge crack image recognition method based on knowledge distillation46
Corrigendum to Predictive information and maintenance optimization based on decision theory: a case study considering a welded joint in an offshore wind turbine support structure44
Extreme state prediction of long-span bridges using extended ACER method43
Hybrid artificial intelligence-based inference models for accurately predicting dam body displacements: A case study of the Fei Tsui dam40
Damage mode classification in CFRP laminates using convolutional autoencoder and convolutional neural network on acoustic emission waveforms39
A multi-stage method for defect detection of underwater structures based on deep learning39
Bridge inspection component registration for damage evolution39
Automatic detection of structural defects in tunnel lining via network pruning and knowledge distillation in YOLO37
Multimodal feature fusion for detecting debonding in FRP-reinforced concrete interfaces using dual-branch CNN37
Vibration-based structural damage localization through a discriminant analysis strategy with cepstral coefficients37
Advanced deep learning framework for underwater object detection with multibeam forward-looking sonar37
A bolt loosening detection method based on patch antenna with overlapping sub-patch37
A progressive decomposing and double screening strategy of VMD for weak fault extraction of hoisting machinery36
Structural nonlinear damage identification based on the information distance of GNPAX/GARCH model and its experimental study35
Experimental research on online monitoring of high temperature and high speed airflow ablation of quartz ceramic thermal protection structure using guided wave35
Stress–strain-based crack damage detection of composite structures using selective kernel convolutional networks and continuous wavelet transform35
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