Computer-Aided Civil and Infrastructure Engineering

Papers
(The H4-Index of Computer-Aided Civil and Infrastructure Engineering is 42. 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 2021-06-01 to 2025-06-01.)
ArticleCitations
173
Introduction147
Cover Image, Volume 38, Issue 9108
Response to discussion on “Simultaneous Optimization of 3‐D Alignments and Station Locations for Dedicated High‐Speed Railways,” Computer‐Aided Civil and Infrastructure Engineering, 37:4, March107
Cover Image, Volume 38, Issue 5101
Issue Information ‐ TOC100
Parallel heterogeneous data‐fusion convolutional neural networks for improved rail bridge strike detection95
Geoacoustic and geophysical data‐driven seafloor sediment classification through machine learning algorithms with property‐centered oversampling techniques95
Cover Image, Volume 37, Issue 1479
Issue Information79
Multi‐stage detection of warped ceiling panel using ensemble vision models for automated localization and quantification76
A dynamic neural network model for the identification of asbestos roofings in hyperspectral images covering a large regional area76
A hierarchical progressive recognition network for building change detection in high‐resolution remote sensing images65
Deep generative Bayesian optimization for sensor placement in structural health monitoring65
Aeroelastic force prediction via temporal fusion transformers63
Cover Image, Volume 39, Issue 762
Genetic algorithm optimized frequency‐domain convolutional blind source separation for multiple leakage locations in water supply pipeline62
Cover Image, Volume 39, Issue 761
Aggregation formulation for on‐site multidepot vehicle scheduling scenario59
Using machine learning to analyze and predict construction task productivity59
Simulation of mixed traffic with cooperative lane changes57
A structure‐oriented loss function for automated semantic segmentation of bridge point clouds55
Tiny‐Crack‐Net: A multiscale feature fusion network with attention mechanisms for segmentation of tiny cracks54
A deep learning framework based on improved self‐supervised learning for ground‐penetrating radar tunnel lining inspection54
Infrastructure deterioration modeling with an inhomogeneous continuous time Markov chain: A latent state approach with analytic transition probabilities54
Vision‐based fatigue crack automatic perception and geometric updating of finite element model for welded joint in steel structures52
Cover Image, Volume 39, Issue 650
48
Issue Information48
Training of construction robots using imitation learning and environmental rewards47
Damage‐level classification considering both correlation between image and text data and confidence of attention map47
A coordinated ramp metering framework based on heterogeneous causal inference46
Bolt loosening assessment using ensemble vision models for automatic localization and feature extraction with target‐free perspective adaptation46
Issue Information45
Deep spatial‐temporal embedding for vehicle trajectory validation and refinement45
45
A 2D‐connected automated vehicle car‐following control algorithm45
Cover Image, Volume 39, Issue 1644
An adversarial diverse deep ensemble approach for surrogate‐based traffic signal optimization43
Vertical alignment optimization of mountain railways with terrain‐driven greedy algorithm improved by Monte Carlo tree search43
Indoor camera pose estimation via style‐transfer 3D models43
An automation solution to convert CAD engineering drawings into railroad station models42
Intelligent design of shear wall layout based on diffusion models42
End‐to‐end generation of structural topology for complex architectural layouts with graph neural networks42
Network models for temporal data reconstruction for dam health monitoring42
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