OOIR: Observatory of International Research

Papers

(The H4-Index of Computers in Industry is 54. 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 paradigm: A systematic literature review	408
Digital Twin for maintenance: A literature review	348
Machine learning and reasoning for predictive maintenance in Industry 4.0: Current status and challenges	272
Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda	266
A framework to achieve sustainability in manufacturing organisations of developing economies using industry 4.0 technologies’ enablers	201
A survey on anomaly detection for technical systems using LSTM networks	199
Fault detection and diagnosis for rotating machinery: A model based on convolutional LSTM, Fast Fourier and continuous wavelet transforms	194
Maintenance transformation through Industry 4.0 technologies: A systematic literature review	168
A double-layer attention based adversarial network for partial transfer learning in machinery fault diagnosis	150
Digital technologies in product-service systems: a literature review and a research agenda	149
Blockchain-enabled circular supply chain management: A system architecture for fast fashion	142
Mixed supervision for surface-defect detection: From weakly to fully supervised learning	136
Implementation of digital twins in the process industry: A systematic literature review of enablers and barriers	132
Managing the barriers of Industry 4.0 adoption and implementation in textile and clothing industry: Interpretive structural model and triple helix framework	122
Improved faster R-CNN for fabric defect detection based on Gabor filter with Genetic Algorithm optimization	122
An investigation into emerging industry 4.0 technologies as drivers of supply chain innovation in Australia	113
Cybersecurity awareness in the context of the Industrial Internet of Things: A systematic literature review	110
A framework for data-driven digital twins of smart manufacturing systems	109
Development of manufacturing execution systems in accordance with Industry 4.0 requirements: A review of standard- and ontology-based methodologies and tools	105
Advancing zero defect manufacturing: A state-of-the-art perspective and future research directions	104
Building information modeling (BIM)-based modular integrated construction risk management – Critical survey and future needs	97
Detecting cyberattacks using anomaly detection in industrial control systems: A Federated Learning approach	94
Two-layer Adaptive Blockchain-based Supervision model for off-site modular housing production	92
An Augmented Reality inspection tool to support workers in Industry 4.0 environments	91
Digital twin-enabled smart modular integrated construction system for on-site assembly	88

The quiet revolution in machine vision - a state-of-the-art survey paper, including historical review, perspectives, and future directions	88
A survey of machine-learning techniques for condition monitoring and predictive maintenance of bearings in grinding machines	84
Design of a reference architecture for developing smart warehouses in industry 4.0	83
Digital twins: An analysis framework and open issues	81
Digital transformation capability maturity model enabling the assessment of industrial manufacturers	80
Linking permissioned blockchain to Internet of Things (IoT)-BIM platform for off-site production management in modular construction	80
Autonomous, context-aware, adaptive Digital Twins—State of the art and roadmap	78
A review of vision-aided robotic welding	77
Exploiting knowledge graphs in industrial products and services: A survey of key aspects, challenges, and future perspectives	76
Digital interoperability in logistics and supply chain management: state-of-the-art and research avenues towards Physical Internet	76
Developing a personalized recommendation system in a smart product service system based on unsupervised learning model	74
Secure Intelligent Fuzzy Blockchain Framework: Effective Threat Detection in IoT Networks	72
Blockchain-enabled cyber-physical smart modular integrated construction	70
SMEs and Industry 4.0: Two case studies of digitalization for a smoother integration	70
A survey on smart farming data, applications and techniques	69
A lightweight deep learning algorithm for inspection of laser welding defects on safety vent of power battery	64
Deep learning-based object detection in augmented reality: A systematic review	64
Cas-VSwin transformer: A variant swin transformer for surface-defect detection	63
End-to-end industrial IoT platform for Quality 4.0 applications	62
Optimisation of the resource efficiency of food manufacturing via the Internet of Things	61
Systemic formalisation of Cyber-Physical-Social System (CPSS): A systematic literature review	59
Business Process Management: The evolution of a discipline	58
Light-weight federated learning-based anomaly detection for time-series data in industrial control systems	58
Data-driven failure mode and effect analysis (FMEA) to enhance maintenance planning	57
MYOLOv3-Tiny: A new convolutional neural network architecture for real-time detection of track fasteners	56
Blockchain for energy sharing and trading in distributed prosumer communities	55
A lightweight detector based on attention mechanism for aluminum strip surface defect detection	55
Big data analytics: Implementation challenges in Indian manufacturing supply chains	55
Technology enablers for the implementation of Industry 4.0 to traditional manufacturing sectors: A review	54