Journal of Civil Structural Health Monitoring

Papers
(The H4-Index of Journal of Civil Structural Health Monitoring is 27. 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.)
ArticleCitations
Modal analysis of flexible photovoltaic support system using multi-source data93
B-CNN: a deep learning method for accelerometer-based fatigue cracks monitoring system76
GNSS time-synchronised wireless vision sensor network for structural health monitoring72
Prestress force and moving force identification in prestressed concrete bridges via Lagrangian polynomial-based load shape function approach64
Development and implementation of medium-fidelity physics-based model for hybrid digital twin-based damage identification of piping structures50
A Kalman filter-based BWIM method with adaptive observation noise estimation using variational modal decomposition48
Dynamic characteristics of multi-degree-of-freedom frame systems derived from vision-based displacement measurement using consumer-grade camera video47
An integrated system for tunnel construction safety control based on BIM–IoT–PSO44
Probabilistic damage detection using a new likelihood-free Bayesian inference method43
Reconstruction of structural acceleration response based on CNN-BiGRU with squeeze-and-excitation under environmental temperature effects43
Spatio-temporal analysis of georeferenced time-series applied to structural monitoring39
Determination of future creep and seismic behaviors of dams using 3D analyses validated by long-term levelling measurements39
Development and applications of slope and river monitoring system using low-power wide-area network technology37
Crack width measurement with OFDR distributed fiber optic sensors considering strain redistribution after structure cracking34
Bridge damage detection based on principal component analysis and dynamic time warping34
An automated health monitoring system for uncoordinated deformation between the metro station side wall and row piles34
Data-driven dynamic response forecasting and anomaly detection in long-span bridges33
Automatic detection of delamination on tunnel lining surfaces from laser 3D point cloud data by 3D features and a support vector machine32
A tunnel structure health monitoring method based on surface strain monitoring32
Structural damage information amplification methodology based on cluster Mahalanobis distance cumulant and IMFs31
Automated multi-type damage detection framework in reinforced concrete structures via data augmentation and deep segmentation networks30
An improved multi-task approach for SHM missing data reconstruction using attentive neural process and meta-learning30
Environmental effects on the experimental modal parameters of masonry buildings: experiences from the Italian Seismic Observatory of Structures (OSS) network30
Rapid seismic performance evaluation of existing frame structures using equivalent SDOF modeling and prior dynamic testing29
Automatic detection of loose bolts in pipeline structures based on anti-noise mel cepstrum differential features and deep learning28
A method suitable for tunnel inspection robots to diagnose multi-defects of structures using the extraction of hybrid visual features28
Experimental study on the damage identification of bridge expansion joints27
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