Structural Control & Health Monitoring

Papers
(The H4-Index of Structural Control & Health Monitoring is 28. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Outlier analysis for defect detection using sparse sampling in guided wave structural health monitoring73
Computer vision‐based real‐time cable tension estimation in Dubrovnik cable‐stayed bridge using moving handheld video camera62
Optimal sliding friction coefficients for isolated viaducts and bridges: A comparison study49
A high performance hybrid passive base‐isolated system49
Deep learning‐based classification and instance segmentation of leakage‐area and scaling images of shield tunnel linings48
Bridge displacement estimation by fusing accelerometer and strain gauge measurements42
Deep convolutional neural networks for semantic segmentation of cracks41
Enhanced motion control performance of the tuned mass damper inerter through primary structure shaping41
Bridge identification and damage detection using contact point response difference of moving vehicle39
Eliminating environmental and operational effects on structural modal frequency: A comprehensive review39
Machine learning‐based automatic operational modal analysis: A structural health monitoring application to masonry arch bridges38
Automatic pixel‐level crack detection and evaluation of concrete structures using deep learning38
Deep learning‐based bolt loosening detection for wind turbine towers38
Bridge mode shape identification using moving vehicles at traffic speeds through non‐parametric sparse matrix completion35
Machine‐learning‐based methods for output‐only structural modal identification35
Computer vision‐based real‐time cable tension estimation algorithm using complexity pursuit from video and its application in Fred‐Hartman cable‐stayed bridge35
Optimization‐based seismic design of steel moment‐resisting frames with nonlinear viscous dampers34
A probabilistic Bayesian recurrent neural network for remaining useful life prognostics considering epistemic and aleatory uncertainties33
Structural health monitoring of adhesive joints using Lamb waves: A review32
Data‐driven modeling of bridge buffeting in the time domain using long short‐term memory network based on structural health monitoring32
Efficient Bayesian FFT method for damage detection using ambient vibration data with consideration of uncertainty32
Fiber optic sensing of concrete cracking and rebar deformation using several types of cable31
Using vehicle–bridge contact spectra and residue to scan bridge's modal properties with vehicle frequencies and road roughness eliminated31
Near real‐time bolt‐loosening detection using mask and region‐based convolutional neural network31
Selecting optimum levels of wavelet multi‐resolution analysis for time‐varying signals in structural health monitoring31
Damage‐sensitive feature extraction with stacked autoencoders for unsupervised damage detection30
Assessment of the tuned mass damper inerter for seismic response control of base‐isolated structures29
Performance tests and microstructure‐based sigmoid model for a three‐coil magnetorheological damper28
Mechanics‐based model updating for identification and virtual sensing of an offshore wind turbine using sparse measurements28
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