Computer-Aided Civil and Infrastructure Engineering

Papers
(The TQCC of Computer-Aided Civil and Infrastructure Engineering is 11. 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 2021-12-01 to 2025-12-01.)
ArticleCitations
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, March176
Introduction130
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Issue Information96
Issue Information ‐ TOC96
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Genetic algorithm optimized frequency‐domain convolutional blind source separation for multiple leakage locations in water supply pipeline85
Parallel heterogeneous data‐fusion convolutional neural networks for improved rail bridge strike detection84
Aggregation formulation for on‐site multidepot vehicle scheduling scenario77
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A dynamic neural network model for the identification of asbestos roofings in hyperspectral images covering a large regional area68
Multi‐stage detection of warped ceiling panel using ensemble vision models for automated localization and quantification66
Vision‐based fatigue crack automatic perception and geometric updating of finite element model for welded joint in steel structures64
Deep generative Bayesian optimization for sensor placement in structural health monitoring62
A hierarchical progressive recognition network for building change detection in high‐resolution remote sensing images59
A structure‐oriented loss function for automated semantic segmentation of bridge point clouds58
Geoacoustic and geophysical data‐driven seafloor sediment classification through machine learning algorithms with property‐centered oversampling techniques56
Infrastructure deterioration modeling with an inhomogeneous continuous time Markov chain: A latent state approach with analytic transition probabilities54
Aeroelastic force prediction via temporal fusion transformers54
Using machine learning to analyze and predict construction task productivity54
Rapid regional assessment of post‐hazard structures and transportation infrastructure using aerial images53
Tiny‐Crack‐Net: A multiscale feature fusion network with attention mechanisms for segmentation of tiny cracks53
Issue Information53
A deep learning framework based on improved self‐supervised learning for ground‐penetrating radar tunnel lining inspection53
An automation solution to convert CAD engineering drawings into railroad station models51
Issue Information51
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An adversarial diverse deep ensemble approach for surrogate‐based traffic signal optimization48
Training of construction robots using imitation learning and environmental rewards47
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Issue Information47
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Damage‐level classification considering both correlation between image and text data and confidence of attention map45
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Deep spatial‐temporal embedding for vehicle trajectory validation and refinement44
Integrating triple attention convolutional network with multi‐objective optimization for excavation‐induced deformation prediction43
Multi‐objective optimization of nonlinear passive control systems for seismic response mitigation of bridges43
Integrating spatial and channel attention mechanisms with domain knowledge in convolutional neural networks for friction coefficient prediction42
Issue Information42
Bolt loosening assessment using ensemble vision models for automatic localization and feature extraction with target‐free perspective adaptation42
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Real‐time anomaly detection in construction equipment operations using unsupervised audio signal processing41
Vertical alignment optimization of mountain railways with terrain‐driven greedy algorithm improved by Monte Carlo tree search41
A coordinated ramp metering framework based on heterogeneous causal inference41
Intelligent design of shear wall layout based on diffusion models40
Network models for temporal data reconstruction for dam health monitoring39
Issue Information38
End‐to‐end generation of structural topology for complex architectural layouts with graph neural networks38
Traffic signal optimization for emissions mitigation in urban road networks with contraflow left‐turn lanes38
A 2D‐connected automated vehicle car‐following control algorithm38
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Issue Information ‐ TOC37
Introduction36
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Issue Information36
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Large language model for post‐earthquake structural damage assessment of buildings35
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A crack detection and quantification framework for high‐resolution images using Mamba and unmanned devices34
Traffic estimation in work zones using a custom regression model and data augmentation34
Issue Information33
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Thermal contraction coordination behavior between unbound aggregate layer and asphalt mixture overlay based on the finite difference and discrete element coupling method33
Issue Information33
Telescopic broad Bayesian learning for big data stream32
A deep learning approach for construction vehicles fill factor estimation and bucket detection in extreme environments32
Probabilistic risk assessment framework for cost overruns predictions in infrastructure projects using randomized simulations32
Multimodal Mamba with multitask learning for building flood damage assessment using synthetic aperture radar remote sensing imagery32
Optimization of passenger flow control and parallel bus bridging in urban rail transit based on intelligent transport infrastructure31
Virtual sensing of seismic floor responses for rapid prioritization of critical equipment inspection in nuclear power plants31
Asynchronous decentralized traffic signal coordinated control in urban road network31
Hidden structural information reconstruction and seismic response analysis of high‐rise residential shear wall buildings with limited structural data30
An automated machine learning approach for classifying infrastructure cost data30
Damage index based on the strain‐to‐displacement relation for health monitoring of railway bridges30
Machine learning–informed soil conditioning for mechanized shield tunneling30
Fine‐grained crack segmentation for high‐resolution images via a multiscale cascaded network30
Improving single‐stage activity recognition of excavators using knowledge distillation of temporal gradient data30
Large‐scale structural health monitoring using composite recurrent neural networks and grid environments30
Enhanced three‐dimensional instance segmentation using multi‐feature extracting point cloud neural network29
Attention‐guided multiscale neural network for defect detection in sewer pipelines29
Autoencoder‐based method to assess bridge health monitoring data quality29
Integrated optimization of multi‐vehicle‐type timetabling and scheduling to accommodate periodic passenger flow29
Automatic pixel‐level crack detection with multi‐scale feature fusion for slab tracks29
Issue Information28
Corrigendum to “control strategy for stable formation of high‐speed virtually coupled trains with disturbances and delays”28
Interpretable physics‐informed graph neural networks for flood forecasting28
Heterogeneous data‐based spatiotemporal trajectory synchronization for virtual–real interactive testing28
Corrigendum to “Deep spatial‐temporal embedding for vehicle trajectory validation and refinement”27
Issue Information27
Aftershock probabilistic seismic hazard analysis based on enhanced Bayesian network considering frequency information26
End‐to‐end instance segmentation framework for automated pavement distress assessment using unmanned aerial vehicle‐derived digital orthophoto maps26
Intelligent detection of subsurface road targets using a combined numerical simulation and deep learning method26
Machine learning models for predicting the International Roughness Index of asphalt concrete overlays on Portland cement concrete pavements26
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Structural identification of material properties and load parameters using a differentiable material point method26
Modal identification of wind turbine tower based on optimal fractional order statistical moments26
Exact Dirichlet boundary multi‐resolution hash encoding solver for structures26
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A spatiotemporal control method at isolated intersections under mixed‐autonomy traffic conditions26
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Signed distance function–biased flow importance sampling for implicit neural compression of flow fields25
Hierarchical nondestructive detection of full‐scene suspended ceiling systems using point cloud25
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Seismic robustness computational methodology of community building portfolio coupled with water supply network based on probability‐cloud model25
Efficient bridge damage detection using a lightweight attention‐based modeling framework24
Automated visual surveying of vehicle heights to help measure the risk of overheight collisions using deep learning and view geometry24
Decentralized coordination for truck platooning24
A rapid simplified method for determining tsunami inundation extent based on energy conservation24
Enhanced precision in axle configuration inference for bridge weigh‐in‐motion systems using computer vision and deep learning23
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Coloring and fusing architectural sketches by combining a Y‐shaped generative adversarial network and a denoising diffusion implicit model23
A central difference attention multi‐modal segmentation network integrating continual learning and graph convolution diffusion algorithms for complex road crack segmentation23
Computational generation of multiphase asphalt nanostructures using random fields23
An optimized and precise road crack segmentation network in complex scenarios22
A nodal‐based evolutionary optimization algorithm for frame structures22
Context‐aware trajectory prediction for autonomous driving in heterogeneous environments22
Real‐time network‐level traffic signal and trajectory optimization with connected automated and human‐driven vehicles22
Implicit function‐based continuous representation for meticulous segmentation of cracks from high‐resolution images21
Characterizing zebra crossing zones using LiDAR data21
Dynamic urban traffic rerouting with fog‐cloud reinforcement learning21
Data‐driven optimization of wind pressure sensor placement on low‐rise buildings using computational fluid dynamics and multi‐resolution dynamic mode decomposition21
Method for calculating pressure losses in the pipelines of slurry shield tunneling based on coupled simulation of computational fluid dynamics and discrete element method21
Adaptive stochastic deterioration modeling for evaluating pavement survey schedules in relation to performance and management cost21
Sequential aero‐structural optimization method for efficient bridge design21
A method for detecting construction deviations in large and complex building structures utilizing synthetic point clouds for segmentation21
Knowledge‐guided generative adversarial networks for intelligent design of internal supporting structures in foundation pits21
Estimation of load for tunnel lining in elastic soil using physics‐informed neural network20
Multiattribute multitask transformer framework for vision‐based structural health monitoring20
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Regeneration of pavement surface textures using M‐sigmoid‐normalized generative adversarial networks20
Post‐earthquake functionality assessment of subway stations considering the interdependency among sub‐systems20
Time–cost combined optimization in planning infrastructure construction projects under environment induced time‐window constraints20
A simulation‐based approach for optimizing the placement of dedicated lanes for autonomous vehicles in large‐scale networks20
Reinforcement response prediction of composite‐concrete beams with crack patterns and deep learning20
Issue Information ‐ TOC20
Issue Information19
Introduction19
Analysis on Braess paradox and network design considering parking in the autonomous vehicle environment19
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A multibranch and multiattention framework for floor plan segmentation18
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Issue Information18
Toward a general unsupervised novelty detection framework in structural health monitoring18
Damage scenario analysis of bridges using crowdsourced smartphone data from passing vehicles18
Issue Information18
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Diagnosis method for the structural uplift of a water‐rich shield tunnel based on the spatiotemporal characteristics of the densely distributed strain data18
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Data‐driven distributionally robust optimization of railway alignments in earthquake‐prone regions considering active fault zone risks17
Anchor‐free arbitrary‐oriented construction vehicle detection with orientation‐aware Gaussian heatmap17
Prestressing wire breakage monitoring using sound event detection17
Semi‐supervised pipe video temporal defect interval localization17
Extensible prototype learning for real‐time traffic signal control17
Constraint‐aware optimization model for plane truss structures via single‐agent gradient descent17
Generative adversarial network based on domain adaptation for crack segmentation in shadow environments17
Adaptive feature expansion and fusion model for precast component segmentation17
Ontology‐driven intelligent assessment system for dam structural safety based on spatiotemporal anomaly detection framework17
Natural language processing‐based deep transfer learning model across diverse tabular datasets for bond strength prediction of composite bars in concrete17
Optimizing multiple equipment scheduling for U‐shaped automated container terminals considering loading and unloading operations17
Issue Information16
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Issue Information ‐ TOC16
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Introduction16
Cost‐effective excavator pose reconstruction with physical constraints16
Parallel optimization method of train scheduling and shunting at complex high‐speed railway stations16
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Advancing the white phase mobile traffic control paradigm to consider pedestrians15
Freight rail activity inventory system using a vision‐based deep learning framework15
Material augmented semantic segmentation of point clouds for building elements15
Deep Q‐network learning‐based active speed management under autonomous driving environments15
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Self‐supervised domain adaptive approach for extrapolated crack segmentation with fine‐tuned inpainting generative model15
A lightweight binocular vision‐supported framework for 3D structural dynamic response monitoring15
Theoretical analysis, simulation, and field experiment for vibration mitigation of suspender cables/hangers using the four‐wire pendulum tuned mass damper15
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Simulation‐driven deep learning for rebar clutter elimination in ground‐penetrating radar images to detect backfill grout defects in segment linings15
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Two algorithms for reconstructing vertical alignments exploring the neural dynamics model of Adeli and Park14
AI‐enabled airport runway pavement distress detection using dashcam imagery14
A streamlined approach for probabilistic pavement life‐cycle performance prediction via physics‐informed neural networks14
A geometric‐identification–free mathematical model for recreating nonsymmetric horizontal railway alignments14
Self‐training with Bayesian neural networks and spatial priors for unsupervised domain adaptation in crack segmentation14
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A K‐Net‐based deep learning framework for automatic rock quality designation estimation14
Issue Information14
Informativeness‐guided active learning for deep learning–based façade defects detection14
Automated image localization to support rapid building reconnaissance in a large‐scale area14
Unsupervised pavement anomaly detection via conditional diffusion model and domain adaptive feature selection14
Selection of the modeling resolution of infrastructure14
Hybrid random aggregation model and Bayesian optimization‐based convolutional neural network for estimating the concrete compressive strength14
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Multistage semisupervised active learning framework for crack identification, segmentation, and measurement of bridges14
Deep learning‐based automatic detection of muck types for earth pressure balance shield tunneling in soft ground14
Virtual reality‐based dynamic scene recreation and robot teleoperation for hazardous environments14
Collaborative optimization of intersection signals and speed guidance for buses run on overlapping route segments under connected environment14
Intelligent monitoring and evaluation for the prefabricated construction schedule14
Integrating posture‐hour constraints into construction scheduling to enhance workforce wellbeing14
Assessment of road network vulnerability using multilayer perceptron surrogates with automated closure propagation14
Issue Information14
Damage detection for railway bridges using time‐frequency decomposition and conditional generative model14
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Post‐disaster damage classification based on deep multi‐view image fusion13
Severe rail wear detection with rail running band images13
Design and performance evaluation of steel beam members with plate‐type locally resonant metamaterials for vibration control13
Equipment activity recognition and early fault detection in automated construction through a hybrid machine learning framework13
A non‐contact identification method of overweight vehicles based on computer vision and deep learning13
Intention‐aware robot motion planning for safe worker–robot collaboration13
Issue Information ‐ TOC12
A method for suspenders tension identification of bridges based on the spatio‐temporal correlation between the girder strain and suspenders tension12
Encoder–decoder with pyramid region attention for pixel‐level pavement crack recognition12
Bi‐level stochastic programming for optimal modular construction yard deployment based on Benders decomposition12
Issue Information12
A response‐compatible ground motion generation method using physics‐guided neural networks12
Learning error distribution kernel‐enhanced neural network methodology for multi‐intersection signal control optimization12
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Issue Information12
An integrated spatiotemporal trust and consensus fusion framework for dam safety assessment with multi‐sensor anomaly detection12
A displacement measurement methodology for deformation monitoring of long‐span arch bridges during construction based on scalable multi‐camera system12
Shovel point optimization for unmanned loader based on pile reconstruction12
A deep neural network framework for real‐time on‐site estimation of acceleration response spectra of seismic ground motions12
Response to discussion on “A Knowledge Transfer Enhanced Ensemble Approach to Predict the Shear Capacity of Reinforced Concrete Deep Beams without Stirrups,” Computer‐Aided Civil and Infrastructure En12
Three‐dimensional morphological analysis of Chang'e‐5 lunar soil using deep learning‐automated segmentation on computed tomography scans12
A learning model predictive control for virtual coupling in intelligent train control systems12
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Proactive framework for evaluating retrieval‐augmented generation‐based learning assistants in engineering education12
Structural performance‐based anomaly detection for velocity pulse12
Knowledge‐enhanced graph neural networks for construction material quantity estimation of reinforced concrete buildings11
Control strategy for stable formation of high‐speed virtually coupled trains with disturbances and delays11
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Issue Information11
Self‐training approach for crack detection using synthesized crack images based on conditional generative adversarial network11
Issue Information ‐ TOC11
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A lightweight Transformer‐based neural network for large‐scale masonry arch bridge point cloud segmentation11
Mechanical–transport–chemical modeling of electrochemical repair methods for corrosion‐induced cracking in marine concrete11
Investigating the min‐cost minimum fleet problem through taxi data analysis11
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