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 2022-01-01 to 2026-01-01.)
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, March179
Introduction136
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Aggregation formulation for on‐site multidepot vehicle scheduling scenario86
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Parallel heterogeneous data‐fusion convolutional neural networks for improved rail bridge strike detection72
Multi‐stage detection of warped ceiling panel using ensemble vision models for automated localization and quantification71
Genetic algorithm optimized frequency‐domain convolutional blind source separation for multiple leakage locations in water supply pipeline71
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A dynamic neural network model for the identification of asbestos roofings in hyperspectral images covering a large regional area68
Using machine learning to analyze and predict construction task productivity67
Vision‐based fatigue crack automatic perception and geometric updating of finite element model for welded joint in steel structures63
Rapid regional assessment of post‐hazard structures and transportation infrastructure using aerial images60
Aeroelastic force prediction via temporal fusion transformers58
Geoacoustic and geophysical data‐driven seafloor sediment classification through machine learning algorithms with property‐centered oversampling techniques55
A hierarchical progressive recognition network for building change detection in high‐resolution remote sensing images55
Tiny‐Crack‐Net: A multiscale feature fusion network with attention mechanisms for segmentation of tiny cracks55
A structure‐oriented loss function for automated semantic segmentation of bridge point clouds55
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 probabilities53
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An automation solution to convert CAD engineering drawings into railroad station models50
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Damage‐level classification considering both correlation between image and text data and confidence of attention map46
Bolt loosening assessment using ensemble vision models for automatic localization and feature extraction with target‐free perspective adaptation45
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Vertical alignment optimization of mountain railways with terrain‐driven greedy algorithm improved by Monte Carlo tree search44
An adversarial diverse deep ensemble approach for surrogate‐based traffic signal optimization44
Integrating triple attention convolutional network with multi‐objective optimization for excavation‐induced deformation prediction43
Deep spatial‐temporal embedding for vehicle trajectory validation and refinement42
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A coordinated ramp metering framework based on heterogeneous causal inference41
Multi‐objective optimization of nonlinear passive control systems for seismic response mitigation of bridges41
Real‐time anomaly detection in construction equipment operations using unsupervised audio signal processing41
End‐to‐end generation of structural topology for complex architectural layouts with graph neural networks40
Network models for temporal data reconstruction for dam health monitoring39
Traffic signal optimization for emissions mitigation in urban road networks with contraflow left‐turn lanes38
Integrating spatial and channel attention mechanisms with domain knowledge in convolutional neural networks for friction coefficient prediction38
A 2D‐connected automated vehicle car‐following control algorithm38
Training of construction robots using imitation learning and environmental rewards37
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Intelligent design of shear wall layout based on diffusion models37
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Introduction36
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Traffic estimation in work zones using a custom regression model and data augmentation35
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Autoencoder‐based method to assess bridge health monitoring data quality33
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Asynchronous decentralized traffic signal coordinated control in urban road network33
Thermal contraction coordination behavior between unbound aggregate layer and asphalt mixture overlay based on the finite difference and discrete element coupling method33
Large language model for post‐earthquake structural damage assessment of buildings32
Telescopic broad Bayesian learning for big data stream32
Optimization of passenger flow control and parallel bus bridging in urban rail transit based on intelligent transport infrastructure32
Automatic pixel‐level crack detection with multi‐scale feature fusion for slab tracks32
Improving single‐stage activity recognition of excavators using knowledge distillation of temporal gradient data32
Hidden structural information reconstruction and seismic response analysis of high‐rise residential shear wall buildings with limited structural data32
Machine learning–informed soil conditioning for mechanized shield tunneling31
Integrated optimization of multi‐vehicle‐type timetabling and scheduling to accommodate periodic passenger flow31
A deep learning approach for construction vehicles fill factor estimation and bucket detection in extreme environments31
Interpretable physics‐informed graph neural networks for flood forecasting31
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Large‐scale structural health monitoring using composite recurrent neural networks and grid environments30
Probabilistic risk assessment framework for cost overruns predictions in infrastructure projects using randomized simulations29
Attention‐guided multiscale neural network for defect detection in sewer pipelines29
Virtual sensing of seismic floor responses for rapid prioritization of critical equipment inspection in nuclear power plants29
An automated machine learning approach for classifying infrastructure cost data29
Enhanced three‐dimensional instance segmentation using multi‐feature extracting point cloud neural network29
Damage index based on the strain‐to‐displacement relation for health monitoring of railway bridges29
A crack detection and quantification framework for high‐resolution images using Mamba and unmanned devices29
Multimodal Mamba with multitask learning for building flood damage assessment using synthetic aperture radar remote sensing imagery29
Heterogeneous data‐based spatiotemporal trajectory synchronization for virtual–real interactive testing28
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Corrigendum to “control strategy for stable formation of high‐speed virtually coupled trains with disturbances and delays”28
Fine‐grained crack segmentation for high‐resolution images via a multiscale cascaded network28
Modal identification of wind turbine tower based on optimal fractional order statistical moments27
Corrigendum to “Deep spatial‐temporal embedding for vehicle trajectory validation and refinement”27
Machine learning models for predicting the International Roughness Index of asphalt concrete overlays on Portland cement concrete pavements27
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Exact Dirichlet boundary multi‐resolution hash encoding solver for structures27
Intelligent detection of subsurface road targets using a combined numerical simulation and deep learning method26
Signed distance function–biased flow importance sampling for implicit neural compression of flow fields26
An optimized and precise road crack segmentation network in complex scenarios26
Hierarchical nondestructive detection of full‐scene suspended ceiling systems using point cloud26
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Characterizing zebra crossing zones using LiDAR data26
Seismic robustness computational methodology of community building portfolio coupled with water supply network based on probability‐cloud model26
A rapid simplified method for determining tsunami inundation extent based on energy conservation25
End‐to‐end instance segmentation framework for automated pavement distress assessment using unmanned aerial vehicle‐derived digital orthophoto maps25
A spatiotemporal control method at isolated intersections under mixed‐autonomy traffic conditions25
Structural identification of material properties and load parameters using a differentiable material point method25
Context‐aware trajectory prediction for autonomous driving in heterogeneous environments24
Method for calculating pressure losses in the pipelines of slurry shield tunneling based on coupled simulation of computational fluid dynamics and discrete element method24
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Automated visual surveying of vehicle heights to help measure the risk of overheight collisions using deep learning and view geometry24
Regeneration of pavement surface textures using M‐sigmoid‐normalized generative adversarial networks23
A method for detecting construction deviations in large and complex building structures utilizing synthetic point clouds for segmentation23
Sequential aero‐structural optimization method for efficient bridge design23
Adaptive stochastic deterioration modeling for evaluating pavement survey schedules in relation to performance and management cost23
Reinforcement response prediction of composite‐concrete beams with crack patterns and deep learning22
Time–cost combined optimization in planning infrastructure construction projects under environment induced time‐window constraints22
Enhanced precision in axle configuration inference for bridge weigh‐in‐motion systems using computer vision and deep learning21
Estimation of load for tunnel lining in elastic soil using physics‐informed neural network21
Real‐time network‐level traffic signal and trajectory optimization with connected automated and human‐driven vehicles21
Decentralized coordination for truck platooning21
A central difference attention multi‐modal segmentation network integrating continual learning and graph convolution diffusion algorithms for complex road crack segmentation21
Knowledge‐guided generative adversarial networks for intelligent design of internal supporting structures in foundation pits21
Efficient bridge damage detection using a lightweight attention‐based modeling framework21
Implicit function‐based continuous representation for meticulous segmentation of cracks from high‐resolution images21
Dynamic urban traffic rerouting with fog‐cloud reinforcement learning20
A nodal‐based evolutionary optimization algorithm for frame structures20
Multiattribute multitask transformer framework for vision‐based structural health monitoring20
Aftershock probabilistic seismic hazard analysis based on enhanced Bayesian network considering frequency information20
Computational generation of multiphase asphalt nanostructures using random fields20
Post‐earthquake functionality assessment of subway stations considering the interdependency among sub‐systems20
Data‐driven optimization of wind pressure sensor placement on low‐rise buildings using computational fluid dynamics and multi‐resolution dynamic mode decomposition20
Coloring and fusing architectural sketches by combining a Y‐shaped generative adversarial network and a denoising diffusion implicit model20
A simulation‐based approach for optimizing the placement of dedicated lanes for autonomous vehicles in large‐scale networks19
Analysis on Braess paradox and network design considering parking in the autonomous vehicle environment19
Introduction19
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Parallel optimization method of train scheduling and shunting at complex high‐speed railway stations18
Damage scenario analysis of bridges using crowdsourced smartphone data from passing vehicles18
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Ontology‐driven intelligent assessment system for dam structural safety based on spatiotemporal anomaly detection framework18
A multibranch and multiattention framework for floor plan segmentation18
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Extensible prototype learning for real‐time traffic signal control18
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Generative adversarial network based on domain adaptation for crack segmentation in shadow environments18
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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 data17
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Prestressing wire breakage monitoring using sound event detection17
Toward a general unsupervised novelty detection framework in structural health monitoring17
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Optimizing multiple equipment scheduling for U‐shaped automated container terminals considering loading and unloading operations17
Natural language processing‐based deep transfer learning model across diverse tabular datasets for bond strength prediction of composite bars in concrete17
Data‐driven distributionally robust optimization of railway alignments in earthquake‐prone regions considering active fault zone risks17
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Anchor‐free arbitrary‐oriented construction vehicle detection with orientation‐aware Gaussian heatmap17
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Semi‐supervised pipe video temporal defect interval localization17
Adaptive feature expansion and fusion model for precast component segmentation17
Constraint‐aware optimization model for plane truss structures via single‐agent gradient descent17
Collaborative optimization of intersection signals and speed guidance for buses run on overlapping route segments under connected environment16
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Two algorithms for reconstructing vertical alignments exploring the neural dynamics model of Adeli and Park16
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Cost‐effective excavator pose reconstruction with physical constraints16
Deep Q‐network learning‐based active speed management under autonomous driving environments16
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Theoretical analysis, simulation, and field experiment for vibration mitigation of suspender cables/hangers using the four‐wire pendulum tuned mass damper16
Integrating posture‐hour constraints into construction scheduling to enhance workforce wellbeing15
Automated image localization to support rapid building reconnaissance in a large‐scale area15
Simulation‐driven deep learning for rebar clutter elimination in ground‐penetrating radar images to detect backfill grout defects in segment linings15
Hybrid random aggregation model and Bayesian optimization‐based convolutional neural network for estimating the concrete compressive strength15
A lightweight binocular vision‐supported framework for 3D structural dynamic response monitoring15
Informativeness‐guided active learning for deep learning–based façade defects detection15
Unsupervised pavement anomaly detection via conditional diffusion model and domain adaptive feature selection15
A streamlined approach for probabilistic pavement life‐cycle performance prediction via physics‐informed neural networks15
Virtual reality‐based dynamic scene recreation and robot teleoperation for hazardous environments15
Self‐supervised domain adaptive approach for extrapolated crack segmentation with fine‐tuned inpainting generative model15
Multistage semisupervised active learning framework for crack identification, segmentation, and measurement of bridges15
Freight rail activity inventory system using a vision‐based deep learning framework15
Advancing the white phase mobile traffic control paradigm to consider pedestrians15
Intelligent monitoring and evaluation for the prefabricated construction schedule14
Selection of the modeling resolution of infrastructure14
A K‐Net‐based deep learning framework for automatic rock quality designation estimation14
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AI‐enabled airport runway pavement distress detection using dashcam imagery14
Deep learning‐based automatic detection of muck types for earth pressure balance shield tunneling in soft ground14
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A geometric‐identification–free mathematical model for recreating nonsymmetric horizontal railway alignments14
Material augmented semantic segmentation of point clouds for building elements14
Self‐training with Bayesian neural networks and spatial priors for unsupervised domain adaptation in crack segmentation14
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Assessment of road network vulnerability using multilayer perceptron surrogates with automated closure propagation14
A method for suspenders tension identification of bridges based on the spatio‐temporal correlation between the girder strain and suspenders tension13
Equipment activity recognition and early fault detection in automated construction through a hybrid machine learning framework13
Post‐disaster damage classification based on deep multi‐view image fusion13
A non‐contact identification method of overweight vehicles based on computer vision and deep learning13
Severe rail wear detection with rail running band images13
Intention‐aware robot motion planning for safe worker–robot collaboration13
A learning model predictive control for virtual coupling in intelligent train control systems13
Damage detection for railway bridges using time‐frequency decomposition and conditional generative model13
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Three‐dimensional morphological analysis of Chang'e‐5 lunar soil using deep learning‐automated segmentation on computed tomography scans13
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Shovel point optimization for unmanned loader based on pile reconstruction12
A displacement measurement methodology for deformation monitoring of long‐span arch bridges during construction based on scalable multi‐camera system12
A response‐compatible ground motion generation method using physics‐guided neural networks12
Mechanical–transport–chemical modeling of electrochemical repair methods for corrosion‐induced cracking in marine concrete12
Multifidelity approach for data‐driven prediction models of structural behaviors with limited data12
Bi‐level stochastic programming for optimal modular construction yard deployment based on Benders decomposition12
Learning error distribution kernel‐enhanced neural network methodology for multi‐intersection signal control optimization12
Encoder–decoder with pyramid region attention for pixel‐level pavement crack recognition12
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
Component‐level point cloud completion of bridge structures using deep learning12
An integrated spatiotemporal trust and consensus fusion framework for dam safety assessment with multi‐sensor anomaly detection12
A decoupled algorithm for cable parameter identification by frequency‐ratio‐offset12
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Structural performance‐based anomaly detection for velocity pulse12
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Design and performance evaluation of steel beam members with plate‐type locally resonant metamaterials for vibration control12
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Proactive framework for evaluating retrieval‐augmented generation‐based learning assistants in engineering education12
Self‐training approach for crack detection using synthesized crack images based on conditional generative adversarial network12
Knowledge‐enhanced graph neural networks for construction material quantity estimation of reinforced concrete buildings12
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Strain measurement based on cooperative operation with different smartphones11
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