OOIR: Observatory of International Research

Papers

(The H4-Index of Advanced Engineering Informatics is 50. 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
Digital Twin as a Service (DTaaS) in Industry 4.0: An Architecture Reference Model	358
Multi-mode data augmentation and fault diagnosis of rotating machinery using modified ACGAN designed with new framework	169
Exact and metaheuristic algorithms for the vehicle routing problem with a factory-in-a-box in multi-objective settings	154
A review of digital twin in product design and development	148
Two hybrid meta-heuristic algorithms for a dual-channel closed-loop supply chain network design problem in the tire industry under uncertainty	139
Automatic defect detection of metro tunnel surfaces using a vision-based inspection system	131
DETDO: An adaptive hybrid dandelion optimizer for engineering optimization	120
An improved convolutional neural network with an adaptable learning rate towards multi-signal fault diagnosis of hydraulic piston pump	116
A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives	110
An integrated optimization method for tactical-level planning in liner shipping with heterogeneous ship fleet and environmental considerations	107
A systematic review of digital twin about physical entities, virtual models, twin data, and applications	104
DenseSPH-YOLOv5: An automated damage detection model based on DenseNet and Swin-Transformer prediction head-enabled YOLOv5 with attention mechanism	99
CNN parameter design based on fault signal analysis and its application in bearing fault diagnosis	97
A novel adaptive convolutional neural network for fault diagnosis of hydraulic piston pump with acoustic images	94
Effectiveness of VR-based training on improving construction workers’ knowledge, skills, and safety behavior in robotic teleoperation	91
Genghis Khan shark optimizer: A novel nature-inspired algorithm for engineering optimization	89
Digital Twins for the built environment: learning from conceptual and process models in manufacturing	89
3D point cloud data processing with machine learning for construction and infrastructure applications: A comprehensive review	88
Forecasting building energy consumption: Adaptive long-short term memory neural networks driven by genetic algorithm	87
A convolutional neural network based degradation indicator construction and health prognosis using bidirectional long short-term memory network for rolling bearings	85
From simple digital twin to complex digital twin Part I: A novel modeling method for multi-scale and multi-scenario digital twin	85
Highly accurate energy consumption forecasting model based on parallel LSTM neural networks	84
A novel deep learning prediction model for concrete dam displacements using interpretable mixed attention mechanism	77
Combining empirical mode decomposition and deep recurrent neural networks for predictive maintenance of lithium-ion battery	76
A real-time vehicle detection and a novel vehicle tracking systems for estimating and monitoring traffic flow on highways	76

A reinforcement ensemble deep transfer learning network for rolling bearing fault diagnosis with Multi-source domains	75
Multi-class fuzzy support matrix machine for classification in roller bearing fault diagnosis	75
Mass Personalisation as a Service in Industry 4.0: A Resilient Response Case Study	74
Understanding digital transformation in advanced manufacturing and engineering: A bibliometric analysis, topic modeling and research trend discovery	73
SMD LED chips defect detection using a YOLOv3-dense model	70
Autoencoder-based anomaly detection for surface defect inspection	65
Deep reinforcement learning-based safe interaction for industrial human-robot collaboration using intrinsic reward function	65
Solving the vehicle routing problem with drone for delivery services using an ant colony optimization algorithm	64
Vibration signal-based early fault prognosis: Status quo and applications	62
A deep feature enhanced reinforcement learning method for rolling bearing fault diagnosis	61
Review on automated condition assessment of pipelines with machine learning	61
Remaining useful life prediction of bearings by a new reinforced memory GRU network	61
A small samples training framework for deep Learning-based automatic information extraction: Case study of construction accident news reports analysis	60
Investigating hazard recognition in augmented virtuality for personalized feedback in construction safety education and training	58
Highly imbalanced fault diagnosis of mechanical systems based on wavelet packet distortion and convolutional neural networks	57
Semantic enrichment of building and city information models: A ten-year review	57
Digital twins-based flexible operating of open architecture production line for individualized manufacturing	57
Digital twin-driven surface roughness prediction and process parameter adaptive optimization	56
Applications of machine learning to BIM: A systematic literature review	56
Dynamic ensemble wind speed prediction model based on hybrid deep reinforcement learning	54
Towards new-generation human-centric smart manufacturing in Industry 5.0: A systematic review	54
A knowledge graph-based data representation approach for IIoT-enabled cognitive manufacturing	52
A fuzzy rough number extended AHP and VIKOR for failure mode and effects analysis under uncertainty	52
A bearing fault diagnosis method without fault data in new working condition combined dynamic model with deep learning	50
On-site text classification and knowledge mining for large-scale projects construction by integrated intelligent approach	50