OOIR: Observatory of International Research

Papers

(The H4-Index of Journal of Civil Structural Health Monitoring is 20. 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.)

Article	Citations
One stage detector (RetinaNet)-based crack detection for asphalt pavements considering pavement distresses and surface objects	60
A data-based structural health monitoring approach for damage detection in steel bridges using experimental data	55
Bridge health monitoring in environmental variability by new clustering and threshold estimation methods	54
Dynamic structural health monitoring of a model wind turbine tower using distributed acoustic sensing (DAS)	43
Structural damage identification based on substructure method and improved whale optimization algorithm	40
Early warning system for the detection of unexpected bridge displacements from radar satellite data	40
Deep learning-based visual defect-inspection system for reinforced concrete bridge substructure: a case of Thailand’s department of highways	37
A multiple camera position approach for accurate displacement measurement using computer vision	36
Distributed fiber optic shape sensing along shotcrete tunnel linings: Methodology, field applications, and monitoring results	36
Two-step approach for fatigue crack detection in steel bridges using convolutional neural networks	31
Temperature-induced deflection separation based on bridge deflection data using the TVFEMD-PE-KLD method	31
On the integration of multi-temporal synthetic aperture radar interferometry products and historical surveys data for buildings structural monitoring	26
Digital modeling approach of distributional mapping from structural temperature field to temperature-induced strain field for bridges	26
Data set from wind, temperature, humidity and cable acceleration monitoring of the Jiashao bridge	24
Generative adversarial networks for labeled acceleration data augmentation for structural damage detection	24
Partially online damage detection using long-term modal data under severe environmental effects by unsupervised feature selection and local metric learning	23
Monitoring-based evaluation of dynamic characteristics of a long span suspension bridge under typhoons	22
Structural damage identification using modified Hilbert–Huang transform and support vector machine	22
Building information modeling-based bridge health monitoring for anomaly detection under complex loading conditions using artificial neural networks	21
Comparison of hierarchical clustering based deformation prediction models for high arch dams during the initial operation period	20
Real-time cable tension estimation from acceleration measurements using wireless sensors with packet data losses: analytics with compressive sensing and sparse component analysis	20
Damage identification using the PZT impedance signals and residual learning algorithm	20
Innovative stabilization diagram for automated structural modal identification based on ERA and hierarchical cluster analysis	20