OOIR: Observatory of International Research

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 2022-08-01 to 2026-08-01.)

Article	Citations
Modal analysis of flexible photovoltaic support system using multi-source data	99
B-CNN: a deep learning method for accelerometer-based fatigue cracks monitoring system	83
GNSS time-synchronised wireless vision sensor network for structural health monitoring	77
A Kalman filter-based BWIM method with adaptive observation noise estimation using variational modal decomposition	70
Dynamic characteristics of multi-degree-of-freedom frame systems derived from vision-based displacement measurement using consumer-grade camera video	53
Development and implementation of medium-fidelity physics-based model for hybrid digital twin-based damage identification of piping structures	51
Probabilistic damage detection using a new likelihood-free Bayesian inference method	48
Prestress force and moving force identification in prestressed concrete bridges via Lagrangian polynomial-based load shape function approach	47
Reconstruction of structural acceleration response based on CNN-BiGRU with squeeze-and-excitation under environmental temperature effects	46
An integrated system for tunnel construction safety control based on BIM–IoT–PSO	45
Determination of future creep and seismic behaviors of dams using 3D analyses validated by long-term levelling measurements	43
Spatio-temporal analysis of georeferenced time-series applied to structural monitoring	41
Bridge damage detection based on principal component analysis and dynamic time warping	38
Crack width measurement with OFDR distributed fiber optic sensors considering strain redistribution after structure cracking	38
An automated health monitoring system for uncoordinated deformation between the metro station side wall and row piles	37
Automatic detection of delamination on tunnel lining surfaces from laser 3D point cloud data by 3D features and a support vector machine	36
A tunnel structure health monitoring method based on surface strain monitoring	35
An improved multi-task approach for SHM missing data reconstruction using attentive neural process and meta-learning	34
Structural damage information amplification methodology based on cluster Mahalanobis distance cumulant and IMFs	34
Rapid seismic performance evaluation of existing frame structures using equivalent SDOF modeling and prior dynamic testing	34
Automatic detection of loose bolts in pipeline structures based on anti-noise mel cepstrum differential features and deep learning	32
A method suitable for tunnel inspection robots to diagnose multi-defects of structures using the extraction of hybrid visual features	32
Data-driven dynamic response forecasting and anomaly detection in long-span bridges	31
Multisensor data fusion-based structural health monitoring for buried metallic pipelines under complicated stress states	31
Environmental effects on the experimental modal parameters of masonry buildings: experiences from the Italian Seismic Observatory of Structures (OSS) network	30

Development and applications of slope and river monitoring system using low-power wide-area network technology	29
Structural damage identification based on variational mode decomposition–Hilbert transform and CNN	29
Variations of natural frequencies of masonry minarets due to environmental effects	27
Automated multi-type damage detection framework in reinforced concrete structures via data augmentation and deep segmentation networks	27
Experimental study on the damage identification of bridge expansion joints	27