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 2020-04-01 to 2024-04-01.)
ArticleCitations
Damping enhancement principle of inerter system85
Outlier analysis for defect detection using sparse sampling in guided wave structural health monitoring69
An accurate and robust monitoring method of full‐bridge traffic load distribution based on YOLO‐v3 machine vision64
Ensemble learning‐based structural health monitoring by Mahalanobis distance metrics64
Statistical seismic performance assessment of tuned mass damper inerter59
An indirect method for bridge mode shapes identification based on wavelet analysis55
Computer vision‐based real‐time cable tension estimation in Dubrovnik cable‐stayed bridge using moving handheld video camera51
Seismic response prediction method for building structures using convolutional neural network49
Automated bridge component recognition from point clouds using deep learning46
Optimal sliding friction coefficients for isolated viaducts and bridges: A comparison study44
A high performance hybrid passive base‐isolated system42
Digital modeling on the nonlinear mapping between multi‐source monitoring data of in‐service bridges39
Long‐term performance monitoring and assessment of concrete beam bridges using neutral axis indicator36
Bayesian dynamic forecasting of structural strain response using structural health monitoring data36
Condition analysis of expansion joints of a long‐span suspension bridge through metamodel‐based model updating considering thermal effect35
Enhanced motion control performance of the tuned mass damper inerter through primary structure shaping35
Review on field monitoring of high‐rise structures35
Bridge displacement estimation by fusing accelerometer and strain gauge measurements34
Deep learning‐based classification and instance segmentation of leakage‐area and scaling images of shield tunnel linings34
Deep learning‐based bolt loosening detection for wind turbine towers32
Automatic pixel‐level crack detection and evaluation of concrete structures using deep learning32
Bridge mode shape identification using moving vehicles at traffic speeds through non‐parametric sparse matrix completion31
Optimization‐based seismic design of steel moment‐resisting frames with nonlinear viscous dampers30
Bridge identification and damage detection using contact point response difference of moving vehicle29
Bridge health monitoring using deflection measurements under random traffic28
Modified dam deformation monitoring model considering periodic component contained in residual sequence28
Machine learning‐based automatic operational modal analysis: A structural health monitoring application to masonry arch bridges28
Deep convolutional neural networks for semantic segmentation of cracks28
Damage‐sensitive feature extraction with stacked autoencoders for unsupervised damage detection28
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