OOIR: Observatory of International Research

Papers

(The H4-Index of Automation in Construction is 77. 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 2020-11-01 to 2024-11-01.)

Article	Citations
Roles of artificial intelligence in construction engineering and management: A critical review and future trends	514
Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications	307
A BIM-data mining integrated digital twin framework for advanced project management	273
Integrated digital twin and blockchain framework to support accountable information sharing in construction projects	249
Digital twin and its implementations in the civil engineering sector	233
Automatic crack classification and segmentation on masonry surfaces using convolutional neural networks and transfer learning	210
Cloud computing in construction industry: Use cases, benefits and challenges	205
Machine learning models for predicting the residual value of heavy construction equipment: An evaluation of modified decision tree, LightGBM, and XGBoost regression	182
Structural crack detection using deep convolutional neural networks	171
On-site autonomous construction robots: Towards unsupervised building	170
Construction quality information management with blockchains	151
Risk assessment and management of excavation system based on fuzzy set theory and machine learning methods	144
Pavement distress detection using convolutional neural networks with images captured via UAV	138
A 3D concrete printing prefabrication platform for bespoke columns	137
A real-time detection approach for bridge cracks based on YOLOv4-FPM	135
Applications of distributed ledger technology (DLT) and Blockchain-enabled smart contracts in construction	135
Development of BIM, IoT and AR/VR technologies for fire safety and upskilling	131
Deep learning-based road damage detection and classification for multiple countries	129
Construction payment automation using blockchain-enabled smart contracts and robotic reality capture technologies	124
Attention-based generative adversarial network with internal damage segmentation using thermography	122
A smart contract system for security of payment of construction contracts	122
Computer vision applications in construction: Current state, opportunities & challenges	121
Expertise-based bid evaluation for construction-contractor selection with generalized comparative linguistic ELECTRE III	121
Knowledge graph for identifying hazards on construction sites: Integrating computer vision with ontology	121
A spatial-channel hierarchical deep learning network for pixel-level automated crack detection	118

Real-time monitoring of construction sites: Sensors, methods, and applications	114
Automated pixel-level pavement distress detection based on stereo vision and deep learning	112
Artificial intelligence in green building	111
An engineer's guide to eXplainable Artificial Intelligence and Interpretable Machine Learning: Navigating causality, forced goodness, and the false perception of inference	111
Integrated structural health monitoring in bridge engineering	109
Voxel-based representation of 3D point clouds: Methods, applications, and its potential use in the construction industry	108
Combining multi-criteria decision making (MCDM) methods with building information modelling (BIM): A review	103
Ultra-rapid delivery of specialty field hospitals to combat COVID-19: Lessons learned from the Leishenshan Hospital project in Wuhan	103
Pavement asset management systems and technologies: A review	103
Hard-rock tunnel lithology prediction with TBM construction big data using a global-attention-mechanism-based LSTM network	102
Modular composite building in urgent emergency engineering projects: A case study of accelerated design and construction of Wuhan Thunder God Mountain/Leishenshan hospital to COVID-19 pandemic	99
BIM for facilities management: A framework and a common data environment using open standards	99
Automatic recognition of pavement cracks from combined GPR B-scan and C-scan images using multiscale feature fusion deep neural networks	98
BIM data flow architecture with AR/VR technologies: Use cases in architecture, engineering and construction	98
Real-time railroad track components inspection based on the improved YOLOv4 framework	97
Data mining in the construction industry: Present status, opportunities, and future trends	97
Dataset and benchmark for detecting moving objects in construction sites	96
Intelligent contract adoption in the construction industry: Concept development	96
Trajectory control of electro-hydraulic position servo system using improved PSO-PID controller	94
Exploring smart construction objects as blockchain oracles in construction supply chain management	93
Blockchain and the ‘Internet of Things' for the construction industry: research trends and opportunities	93
Machine learning techniques for pavement condition evaluation	92
The classification of construction waste material using a deep convolutional neural network	92
Real-time multiple damage mapping using autonomous UAV and deep faster region-based neural networks for GPS-denied structures	91
Automated structural design of shear wall residential buildings using generative adversarial networks	91
Measurement and visualization of strains and cracks in CFRP post-tensioned fiber reinforced concrete beams using distributed fiber optic sensors	89
Automatic pixel-level detection of vertical cracks in asphalt pavement based on GPR investigation and improved mask R-CNN	89
Exploratory literature review of blockchain in the construction industry	89
Structural health monitoring and inspection of dams based on UAV photogrammetry with image 3D reconstruction	88
Brainwave-driven human-robot collaboration in construction	88
Machine-learning based vulnerability analysis of existing buildings	87
Natural language processing for smart construction: Current status and future directions	87
Classification and analysis of deep learning applications in construction: A systematic literature review	87
Design approaches and typologies of adaptive facades: A review	86
Planning for terrestrial laser scanning in construction: A review	86
Hazard identification, risk assessment and control for dam construction safety using an integrated BWM and MARCOS approach under interval type-2 fuzzy sets environment	86
Brain-computer interface for hands-free teleoperation of construction robots	85
Automatic recognition of tunnel lining elements from GPR images using deep convolutional networks with data augmentation	85
A systematic review and analysis of the viability of 3D-printed construction in remote environments	84
Real-time mixed reality-based visual warning for construction workforce safety	83
Effects of physical fatigue on the induction of mental fatigue of construction workers: A pilot study based on a neurophysiological approach	83
Computer vision-based interior construction progress monitoring: A literature review and future research directions	83
BIM-integrated construction safety risk assessment at the design stage of building projects	83
Virtual reality technology in construction safety training: Extended technology acceptance model	81
Exoskeletons for manual material handling – A review and implication for construction applications	81
BIM security: A critical review and recommendations using encryption strategy and blockchain	81
Multi-objective optimization for improved project management: Current status and future directions	81
Distributed common data environment using blockchain and Interplanetary File System for secure BIM-based collaborative design	80
Digital building twins and blockchain for performance-based (smart) contracts	80
A deep learning approach for fast detection and classification of concrete damage	80

Towards Civil Engineering 4.0: Concept, workflow and application of Digital Twins for existing infrastructure	79
Flexible and transportable robotic timber construction platform – TIM	77
Development of BIM-integrated construction robot task planning and simulation system	77