OOIR: Observatory of International Research

Papers

(The H4-Index of Computer-Aided Civil and Infrastructure Engineering is 39. 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 2020-08-01 to 2024-08-01.)

Article	Citations
Automated pavement crack detection and segmentation based on two‐step convolutional neural network	230
Graph neural network and reinforcement learning for multi‐agent cooperative control of connected autonomous vehicles	125
Automatic detection method of tunnel lining multi‐defects via an enhanced You Only Look Once network	106
Regional resilience analysis: A multiscale approach to optimize the resilience of interdependent infrastructure	102
Optimization of electric bus scheduling considering stochastic volatilities in trip travel time and energy consumption	101
Efficient training of physics‐informed neural networks via importance sampling	97
Real‐time regional seismic damage assessment framework based on long short‐term memory neural network	94
Cross‐scene pavement distress detection by a novel transfer learning framework	83
Crack detection using fusion features‐based broad learning system and image processing	82
Hybrid deep learning architecture for rail surface segmentation and surface defect detection	81
Automatic railroad track components inspection using real‐time instance segmentation	73
Deep learning for post‐hurricane aerial damage assessment of buildings	67
Early damage detection by an innovative unsupervised learning method based on kernel null space and peak‐over‐threshold	67
A deep learning‐based image captioning method to automatically generate comprehensive explanations of bridge damage	64
Tiny‐Crack‐Net: A multiscale feature fusion network with attention mechanisms for segmentation of tiny cracks	63
Semi‐supervised learning based on convolutional neural network and uncertainty filter for façade defects classification	61
Homography‐based structural displacement measurement for large structures using unmanned aerial vehicles	60
Balanced semisupervised generative adversarial network for damage assessment from low‐data imbalanced‐class regime	58
Machine learning and image processing approaches for estimating concrete surface roughness using basic cameras	56
Hybrid semantic segmentation for tunnel lining cracks based on Swin Transformer and convolutional neural network	54
Structural damage detection and localization using decision tree ensemble and vibration data	53
Dual attention deep learning network for automatic steel surface defect segmentation	51
Mechanical–transport–chemical modeling of electrochemical repair methods for corrosion‐induced cracking in marine concrete	50
A multi‐objective genetic algorithm strategy for robust optimal sensor placement	50
Bayesian‐optimized unsupervised learning approach for structural damage detection	50

A deep reinforcement learning approach to mountain railway alignment optimization	49
Autonomous detection of damage to multiple steel surfaces from 360° panoramas using deep neural networks	49
A knowledge‐enhanced deep reinforcement learning‐based shape optimizer for aerodynamic mitigation of wind‐sensitive structures	48
Automated crack assessment and quantitative growth monitoring	45
A novel U‐shaped encoder–decoder network with attention mechanism for detection and evaluation of road cracks at pixel level	45
Real‐time structural displacement estimation by fusing asynchronous acceleration and computer vision measurements	45
Multistage semisupervised active learning framework for crack identification, segmentation, and measurement of bridges	45
Deep semantic segmentation for visual understanding on construction sites	44
Dynamics‐based cross‐domain structural damage detection through deep transfer learning	42
A platoon regulation algorithm to improve the traffic performance of highway work zones	41
Intelligent pixel‐level detection of multiple distresses and surface design features on asphalt pavements	41
Spatiotemporal gated graph attention network for urban traffic flow prediction based on license plate recognition data	40
A decentralized unsupervised structural condition diagnosis approach using deep auto‐encoders	40
A robust prediction model for displacement of concrete dams subjected to irregular water‐level fluctuations	40