Computer-Aided Civil and Infrastructure Engineering

Papers
(The TQCC of Computer-Aided Civil and Infrastructure Engineering is 15. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
163
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Cover Image, Volume 39, Issue 7141
Cover Image, Volume 39, Issue 7137
Cover Image, Volume 37, Issue 14115
Introduction110
Geoacoustic and geophysical data‐driven seafloor sediment classification through machine learning algorithms with property‐centered oversampling techniques104
Cover Image, Volume 38, Issue 599
Issue Information - TOC98
Issue Information94
Multi-stage detection of warped ceiling panel using ensemble vision models for automated localization and quantification93
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Cover Image, Volume 40, Issue 1984
Genetic algorithm optimized frequency‐domain convolutional blind source separation for multiple leakage locations in water supply pipeline84
Aggregation formulation for on‐site multidepot vehicle scheduling scenario83
Cover Image, Volume 38, Issue 980
Parallel heterogeneous data‐fusion convolutional neural networks for improved rail bridge strike detection79
Infrastructure deterioration modeling with an inhomogeneous continuous time Markov chain: A latent state approach with analytic transition probabilities78
A maintenance-aware machine learning framework for network-level highway pavement condition prediction78
Rapid regional assessment of post‐hazard structures and transportation infrastructure using aerial images77
Using machine learning to analyze and predict construction task productivity74
Simulation of mixed traffic with cooperative lane changes73
Assessing the reliability of surrogate-based inverse identification beyond forward accuracy: A diagnostic framework for pavement systems73
Tiny-Crack-Net: A multiscale feature fusion network with attention mechanisms for segmentation of tiny cracks71
A deep learning framework based on improved self‐supervised learning for ground‐penetrating radar tunnel lining inspection71
A dynamic neural network model for the identification of asbestos roofings in hyperspectral images covering a large regional area66
Aeroelastic force prediction via temporal fusion transformers66
A structure‐oriented loss function for automated semantic segmentation of bridge point clouds66
Vision‐based fatigue crack automatic perception and geometric updating of finite element model for welded joint in steel structures65
Multi‐objective optimization of nonlinear passive control systems for seismic response mitigation of bridges62
A hierarchical progressive recognition network for building change detection in high‐resolution remote sensing images62
Real‐time anomaly detection in construction equipment operations using unsupervised audio signal processing61
Record length coefficient in up-crossing rate analysis for design wind velocities60
Traffic signal optimization for emissions mitigation in urban road networks with contraflow left‐turn lanes60
Issue Information59
Integrating triple attention convolutional network with multi‐objective optimization for excavation‐induced deformation prediction59
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Cover Image, Volume 39, Issue 1657
Cover Image, Volume 39, Issue 655
An automation solution to convert CAD engineering drawings into railroad station models55
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Cover Image, Volume 40, Issue 2053
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Deep spatial‐temporal embedding for vehicle trajectory validation and refinement52
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Network models for temporal data reconstruction for dam health monitoring51
Training of construction robots using imitation learning and environmental rewards51
A coordinated ramp metering framework based on heterogeneous causal inference51
A 2D‐connected automated vehicle car‐following control algorithm51
A deep learning‐based image captioning method to automatically generate comprehensive explanations of bridge damage51
Bolt loosening assessment using ensemble vision models for automatic localization and feature extraction with target‐free perspective adaptation50
Damage‐level classification considering both correlation between image and text data and confidence of attention map50
Vertical alignment optimization of mountain railways with terrain-driven greedy algorithm improved by Monte Carlo tree search50
An adversarial diverse deep ensemble approach for surrogate‐based traffic signal optimization49
Intelligent design of shear wall layout based on diffusion models48
End‐to‐end generation of structural topology for complex architectural layouts with graph neural networks47
A smartphone-based bicycle pavement health monitoring framework with dual-purpose indicators for inspection prioritization47
Autoencoder‐based method to assess bridge health monitoring data quality46
Hidden structural information reconstruction and seismic response analysis of high‐rise residential shear wall buildings with limited structural data46
Automatic pixel‐level crack detection with multi‐scale feature fusion for slab tracks46
Integrating spatial and channel attention mechanisms with domain knowledge in convolutional neural networks for friction coefficient prediction46
Asynchronous decentralized traffic signal coordinated control in urban road network45
Visible-infrared imagery and deep learning for UAV-based automated levee hazard detection45
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Integrated optimization of multi‐vehicle‐type timetabling and scheduling to accommodate periodic passenger flow45
Cover Image, Volume 40, Issue 2344
Cover Image, Volume 40, Issue 3144
Issue Information - TOC43
Introduction42
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Cover Image, Volume 40, Issue 441
Telescopic broad Bayesian learning for big data stream40
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Cover Image, Volume 40, Issue 1840
Cover Image, Volume 40, Issue 1040
Cover Image, Volume 40, Issue 1340
Improving single‐stage activity recognition of excavators using knowledge distillation of temporal gradient data39
A deep learning approach for construction vehicles fill factor estimation and bucket detection in extreme environments39
Optimization of passenger flow control and parallel bus bridging in urban rail transit based on intelligent transport infrastructure39
Enhanced three-dimensional instance segmentation using multi-feature extracting point cloud neural network39
Large-scale structural health monitoring using composite recurrent neural networks and grid environments39
Large language model for post‐earthquake structural damage assessment of buildings38
Fine‐grained crack segmentation for high‐resolution images via a multiscale cascaded network38
An automated machine learning approach for classifying infrastructure cost data38
Probabilistic risk assessment framework for cost overruns predictions in infrastructure projects using randomized simulations38
Traffic estimation in work zones using a custom regression model and data augmentation38
A crack detection and quantification framework for high‐resolution images using Mamba and unmanned devices38
Thermal contraction coordination behavior between unbound aggregate layer and asphalt mixture overlay based on the finite difference and discrete element coupling method38
Multimodal Mamba with multitask learning for building flood damage assessment using synthetic aperture radar remote sensing imagery38
Interpretable physics-informed graph neural networks for flood forecasting37
Virtual sensing of seismic floor responses for rapid prioritization of critical equipment inspection in nuclear power plants37
Damage index based on the strain‐to‐displacement relation for health monitoring of railway bridges37
Attention‐guided multiscale neural network for defect detection in sewer pipelines37
Machine learning–informed soil conditioning for mechanized shield tunneling37
Attention-enhanced dual-stage deep learning for automated tunnel crack detection and quantification37
Post‐earthquake functionality assessment of subway stations considering the interdependency among sub‐systems36
Heterogeneous data-based spatiotemporal trajectory synchronization for virtual–real interactive testing36
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A method for detecting construction deviations in large and complex building structures utilizing synthetic point clouds for segmentation36
Knowledge‐guided generative adversarial networks for intelligent design of internal supporting structures in foundation pits35
Corrigendum to “control strategy for stable formation of high‐speed virtually coupled trains with disturbances and delays”35
A simulation‐based approach for optimizing the placement of dedicated lanes for autonomous vehicles in large‐scale networks35
End‐to‐end instance segmentation framework for automated pavement distress assessment using unmanned aerial vehicle‐derived digital orthophoto maps35
Coloring and fusing architectural sketches by combining a Y‐shaped generative adversarial network and a denoising diffusion implicit model35
Corrigendum to “Deep spatial‐temporal embedding for vehicle trajectory validation and refinement”35
Seismic robustness computational methodology of community building portfolio coupled with water supply network based on probability‐cloud model35
Intelligent detection of subsurface road targets using a combined numerical simulation and deep learning method34
Exact Dirichlet boundary multi‐resolution hash encoding solver for structures34
Enhanced precision in axle configuration inference for bridge weigh‐in‐motion systems using computer vision and deep learning34
Computational generation of multiphase asphalt nanostructures using random fields34
A central difference attention multi‐modal segmentation network integrating continual learning and graph convolution diffusion algorithms for complex road crack segmentation34
Cover Image, Volume 40, Issue 234
Cover Image, Volume 40, Issue 2634
Cover Image, Volume 40, Issue 1734
A rapid simplified method for determining tsunami inundation extent based on energy conservation33
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A spatiotemporal control method at isolated intersections under mixed‐autonomy traffic conditions32
Cover Image, Volume 40, Issue 732
Time–cost combined optimization in planning infrastructure construction projects under environment induced time‐window constraints32
Reinforcement response prediction of composite‐concrete beams with crack patterns and deep learning32
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Characterizing zebra crossing zones using LiDAR data31
An optimized and precise road crack segmentation network in complex scenarios31
Decentralized coordination for truck platooning31
Structural identification of material properties and load parameters using a differentiable material point method31
Real‐time network‐level traffic signal and trajectory optimization with connected automated and human‐driven vehicles30
Hierarchical nondestructive detection of full‐scene suspended ceiling systems using point cloud30
Dynamic urban traffic rerouting with fog‐cloud reinforcement learning30
Aftershock probabilistic seismic hazard analysis based on enhanced Bayesian network considering frequency information30
CrisiSense-RAG: Crisis sensing multimodal retrieval-augmented generation for rapid disaster impact assessment30
Machine learning models for predicting the International Roughness Index of asphalt concrete overlays on Portland cement concrete pavements30
Estimation of load for tunnel lining in elastic soil using physics‐informed neural network30
Modal identification of wind turbine tower based on optimal fractional order statistical moments30
Multiattribute multitask transformer framework for vision‐based structural health monitoring29
Implicit function‐based continuous representation for meticulous segmentation of cracks from high‐resolution images29
Adaptive stochastic deterioration modeling for evaluating pavement survey schedules in relation to performance and management cost29
Signed distance function–biased flow importance sampling for implicit neural compression of flow fields29
Regeneration of pavement surface textures using M‐sigmoid‐normalized generative adversarial networks29
Automated visual surveying of vehicle heights to help measure the risk of overheight collisions using deep learning and view geometry28
Context‐aware trajectory prediction for autonomous driving in heterogeneous environments28
Sequential aero‐structural optimization method for efficient bridge design28
Data‐driven optimization of wind pressure sensor placement on low‐rise buildings using computational fluid dynamics and multi‐resolution dynamic mode decomposition28
Method for calculating pressure losses in the pipelines of slurry shield tunneling based on coupled simulation of computational fluid dynamics and discrete element method28
A nodal-based evolutionary optimization algorithm for frame structures28
Efficient bridge damage detection using a lightweight attention‐based modeling framework28
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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 data27
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Scalable AI computational framework for seismic response simulation of million-scale urban building clusters27
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Optimizing multiple equipment scheduling for U‐shaped automated container terminals considering loading and unloading operations27
Anchor-free arbitrary-oriented construction vehicle detection with orientation-aware Gaussian heatmap26
Cover Image, Volume 40, Issue 3026
Introduction26
Issue Information ‐ TOC26
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Extensible prototype learning for real‐time traffic signal control26
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Analysis on Braess paradox and network design considering parking in the autonomous vehicle environment25
Constraint‐aware optimization model for plane truss structures via single‐agent gradient descent25
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Damage scenario analysis of bridges using crowdsourced smartphone data from passing vehicles25
A multibranch and multiattention framework for floor plan segmentation25
Parallel optimization method of train scheduling and shunting at complex high‐speed railway stations25
Adaptive feature expansion and fusion model for precast component segmentation25
Cover Image, Volume 40, Issue 1225
Natural language processing‐based deep transfer learning model across diverse tabular datasets for bond strength prediction of composite bars in concrete24
Balancing confidence and precision in real-time bus arrival time prediction with uncertainty quantification24
Two algorithms for reconstructing vertical alignments exploring the neural dynamics model of Adeli and Park24
Semi-supervised pipe video temporal defect interval localization24
Ontology‐driven intelligent assessment system for dam structural safety based on spatiotemporal anomaly detection framework24
Generative adversarial network based on domain adaptation for crack segmentation in shadow environments24
Data‐driven distributionally robust optimization of railway alignments in earthquake‐prone regions considering active fault zone risks24
Prestressing wire breakage monitoring using sound event detection24
A lightweight design method for internal pavement crack recognition models using ground penetrating radar24
Cover Image, Volume 38, Issue 1624
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Hybrid random aggregation model and Bayesian optimization‐based convolutional neural network for estimating the concrete compressive strength23
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A geometric‐identification–free mathematical model for recreating nonsymmetric horizontal railway alignments23
A lightweight binocular vision‐supported framework for 3D structural dynamic response monitoring23
Advancing the white phase mobile traffic control paradigm to consider pedestrians22
Automated image localization to support rapid building reconnaissance in a large-scale area22
Theoretical analysis, simulation, and field experiment for vibration mitigation of suspender cables/hangers using the four‐wire pendulum tuned mass damper22
Cover Image, Volume 40, Issue 1922
Selection of the modeling resolution of infrastructure22
Issue Information22
Virtual reality‐based dynamic scene recreation and robot teleoperation for hazardous environments22
Integrating posture‐hour constraints into construction scheduling to enhance workforce wellbeing22
Cost‐effective excavator pose reconstruction with physical constraints22
Freight rail activity inventory system using a vision‐based deep learning framework22
Deep Q‐network learning‐based active speed management under autonomous driving environments22
Unsupervised pavement anomaly detection via conditional diffusion model and domain adaptive feature selection22
Cover Image, Volume 40, Issue 322
Cover Image, Volume 40, Issue 2122
Collaborative optimization of intersection signals and speed guidance for buses run on overlapping route segments under connected environment21
AI‐enabled airport runway pavement distress detection using dashcam imagery21
Self‐training with Bayesian neural networks and spatial priors for unsupervised domain adaptation in crack segmentation21
Informativeness‐guided active learning for deep learning–based façade defects detection21
Simulation‐driven deep learning for rebar clutter elimination in ground‐penetrating radar images to detect backfill grout defects in segment linings21
A streamlined approach for probabilistic pavement life‐cycle performance prediction via physics‐informed neural networks21
Collaborative control of traffic signal and variable guiding lane for isolated intersection under connected and automated vehicle environment21
Assessment of road network vulnerability using multilayer perceptron surrogates with automated closure propagation21
Intelligent monitoring and evaluation for the prefabricated construction schedule21
Self‐supervised domain adaptive approach for extrapolated crack segmentation with fine‐tuned inpainting generative model21
Material augmented semantic segmentation of point clouds for building elements21
Deep learning-based automatic detection of muck types for earth pressure balance shield tunneling in soft ground21
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Cover Image, Volume 39, Issue 1020
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Operational-level centralized maintenance scheduling optimization for urban rail transit infrastructure under network conditions20
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A K-Net-based deep learning framework for automatic rock quality designation estimation20
Vision-based modal identification and weight estimation of vehicles20
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Cover Image, Volume 40, Issue 2820
Severe rail wear detection with rail running band images20
A non‐contact identification method of overweight vehicles based on computer vision and deep learning20
A method for suspenders tension identification of bridges based on the spatio‐temporal correlation between the girder strain and suspenders tension19
Three‐dimensional morphological analysis of Chang'e‐5 lunar soil using deep learning‐automated segmentation on computed tomography scans19
Damage detection for railway bridges using time‐frequency decomposition and conditional generative model19
Post-disaster damage classification based on deep multi-view image fusion19
Encoder–decoder with pyramid region attention for pixel‐level pavement crack recognition19
Equipment activity recognition and early fault detection in automated construction through a hybrid machine learning framework19
A learning model predictive control for virtual coupling in intelligent train control systems19
Intention‐aware robot motion planning for safe worker–robot collaboration19
Design and performance evaluation of steel beam members with plate‐type locally resonant metamaterials for vibration control19
A displacement measurement methodology for deformation monitoring of long‐span arch bridges during construction based on scalable multi‐camera system18
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Structural performance‐based anomaly detection for velocity pulse18
Issue Information18
Seismic adaptive control of building structures with simultaneous sensor and damper faults based on dynamic neural network18
A response‐compatible ground motion generation method using physics‐guided neural networks18
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 En18
Shovel point optimization for unmanned loader based on pile reconstruction18
An adaptive algorithm for identifying and characterizing multi-pulse ground motions18
Component‐level point cloud completion of bridge structures using deep learning18
Cover Image, Volume 40, Issue 818
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A deep neural network framework for real-time on-site estimation of acceleration response spectra of seismic ground motions17
Characterization of mechanical properties of shale constituent minerals using phase‐identified nanoindentation17
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