OOIR: Observatory of International Research

Papers

(The H4-Index of Computer-Aided Civil and Infrastructure Engineering is 50. 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.)

Article	Citations
Using machine learning to analyze and predict construction task productivity	156
A hierarchical progressive recognition network for building change detection in high‐resolution remote sensing images	139
	132
	129
Cover Image, Volume 39, Issue 7	111
Cover Image, Volume 39, Issue 7	102
Cover Image, Volume 37, Issue 14	100
Introduction	97
Geoacoustic and geophysical data‐driven seafloor sediment classification through machine learning algorithms with property‐centered oversampling techniques	95
Cover Image, Volume 38, Issue 5	91
Issue Information - TOC	88
Issue Information	88
Multi-stage detection of warped ceiling panel using ensemble vision models for automated localization and quantification	84
Parallel heterogeneous data‐fusion convolutional neural networks for improved rail bridge strike detection	83
A dynamic neural network model for the identification of asbestos roofings in hyperspectral images covering a large regional area	82
Genetic algorithm optimized frequency‐domain convolutional blind source separation for multiple leakage locations in water supply pipeline	81
Issue Information	81
Rapid regional assessment of post‐hazard structures and transportation infrastructure using aerial images	76
Cover Image, Volume 40, Issue 19	75
Aggregation formulation for on‐site multidepot vehicle scheduling scenario	74
Cover Image, Volume 38, Issue 9	74
Deep generative Bayesian optimization for sensor placement in structural health monitoring	68
3D model-based reinforcement bar spacing measurement using self-supervised blind super-resolution and ultra-wideband localization	68
Aeroelastic force prediction via temporal fusion transformers	68
Simulation of mixed traffic with cooperative lane changes	68

A deep learning framework based on improved self‐supervised learning for ground‐penetrating radar tunnel lining inspection	66
Infrastructure deterioration modeling with an inhomogeneous continuous time Markov chain: A latent state approach with analytic transition probabilities	65
A structure‐oriented loss function for automated semantic segmentation of bridge point clouds	63
Tiny-Crack-Net: A multiscale feature fusion network with attention mechanisms for segmentation of tiny cracks	61
Multi‐objective optimization of nonlinear passive control systems for seismic response mitigation of bridges	60
An adversarial diverse deep ensemble approach for surrogate‐based traffic signal optimization	60
Vision‐based fatigue crack automatic perception and geometric updating of finite element model for welded joint in steel structures	60
Vertical alignment optimization of mountain railways with terrain-driven greedy algorithm improved by Monte Carlo tree search	59
Network models for temporal data reconstruction for dam health monitoring	58
Real‐time anomaly detection in construction equipment operations using unsupervised audio signal processing	58
A coordinated ramp metering framework based on heterogeneous causal inference	58
Training of construction robots using imitation learning and environmental rewards	57
Intelligent design of shear wall layout based on diffusion models	57
A deep learning‐based image captioning method to automatically generate comprehensive explanations of bridge damage	56
Record length coefficient in up-crossing rate analysis for design wind velocities	56
Deep spatial‐temporal embedding for vehicle trajectory validation and refinement	56
Damage‐level classification considering both correlation between image and text data and confidence of attention map	55
Traffic signal optimization for emissions mitigation in urban road networks with contraflow left‐turn lanes	54
Issue Information	54
Integrating triple attention convolutional network with multi‐objective optimization for excavation‐induced deformation prediction	52
An automation solution to convert CAD engineering drawings into railroad station models	51
Issue Information	51
Cover Image, Volume 39, Issue 16	51
Issue Information	51
Cover Image, Volume 39, Issue 6	50