OOIR: Observatory of International Research

Papers

(The H4-Index of Journal of Manufacturing Systems is 74. 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 2020-10-01 to 2024-10-01.)

Article	Citations
Industry 4.0 and Industry 5.0—Inception, conception and perception	987
Review of digital twin about concepts, technologies, and industrial applications	890
Enabling technologies and tools for digital twin	743
Industry 5.0: Prospect and retrospect	414
Digital twins-based smart manufacturing system design in Industry 4.0: A review	371
Digital twin modeling	369
Outlook on human-centric manufacturing towards Industry 5.0	272
Cyber-physical systems architectures for industrial internet of things applications in Industry 4.0: A literature review	265
A review on wire arc additive manufacturing: Monitoring, control and a framework of automated system	246
Industry 5.0 and Society 5.0—Comparison, complementation and co-evolution	230
Big data analytics for intelligent manufacturing systems: A review	218
Artificial intelligence and internet of things in small and medium-sized enterprises: A survey	196
Digital twin-based designing of the configuration, motion, control, and optimization model of a flow-type smart manufacturing system	194
Digital Twin Enhanced Dynamic Job-Shop Scheduling	187
Industry 4.0 smart reconfigurable manufacturing machines	178
Unsupervised domain-share CNN for machine fault transfer diagnosis from steady speeds to time-varying speeds	177
Digital twin modeling method based on biomimicry for machining aerospace components	176
A digital twin to train deep reinforcement learning agent for smart manufacturing plants: Environment, interfaces and intelligence	175
A literature survey of the robotic technologies during the COVID-19 pandemic	167
Past, present, and future barriers to digital transformation in manufacturing: A review	157
Toward human-centric smart manufacturing: A human-cyber-physical systems (HCPS) perspective	151
State-of-the-art of selective laser melting process: A comprehensive review	149
Digital twin-based smart assembly process design and application framework for complex products and its case study	148
Physics guided neural network for machining tool wear prediction	142
Systematic literature review on augmented reality in smart manufacturing: Collaboration between human and computational intelligence	123

How to model and implement connections between physical and virtual models for digital twin application	122
Digital twin and cloud-side-end collaboration for intelligent battery management system	118
Evaluating quality in human-robot interaction: A systematic search and classification of performance and human-centered factors, measures and metrics towards an industry 5.0	117
Towards Self-X cognitive manufacturing network: An industrial knowledge graph-based multi-agent reinforcement learning approach	116
A novel deep convolutional neural network-bootstrap integrated method for RUL prediction of rolling bearing	115
Machine learning for metal additive manufacturing: Towards a physics-informed data-driven paradigm	115
Application of sensing techniques and artificial intelligence-based methods to laser welding real-time monitoring: A critical review of recent literature	113
A digital-twin visualized architecture for Flexible Manufacturing System	113
Toward in-situ flaw detection in laser powder bed fusion additive manufacturing through layerwise imagery and machine learning	111
Towards proactive human–robot collaboration: A foreseeable cognitive manufacturing paradigm	109
Challenges and opportunities on AR/VR technologies for manufacturing systems in the context of industry 4.0: A state of the art review	108
Remaining Useful Life prediction and challenges: A literature review on the use of Machine Learning Methods	106
A digital twin-based big data virtual and real fusion learning reference framework supported by industrial internet towards smart manufacturing	106
A knowledge-based Digital Shadow for machining industry in a Digital Twin perspective	101
Digital Twin-enabled Collaborative Data Management for Metal Additive Manufacturing Systems	98
A digital twin-enhanced system for engineering product family design and optimization	98
Data Construction Method for the Applications of Workshop Digital Twin System	98
New Paradigm of Data-Driven Smart Customisation through Digital Twin	96
Intelligent tool wear monitoring and multi-step prediction based on deep learning model	96
Designing human-robot collaboration (HRC) workspaces in industrial settings: A systematic literature review	93
A Review on Recent Advances in Vision-based Defect Recognition towards Industrial Intelligence	93
Modeling and implementation of a digital twin of material flows based on physics simulation	92
Building a right digital twin with model engineering	90
Additive manufacturing and the COVID-19 challenges: An in-depth study	89
Digital Twin-driven online anomaly detection for an automation system based on edge intelligence	89
Towards edge computing in intelligent manufacturing: Past, present and future	89
A generic methodology and a digital twin for zero defect manufacturing (ZDM) performance mapping towards design for ZDM	87
A Digital Twin approach based on nonparametric Bayesian network for complex system health monitoring	87
Fault detection and diagnostic method of diesel engine by combining rule-based algorithm and BNs/BPNNs	86
Attitude data-based deep hybrid learning architecture for intelligent fault diagnosis of multi-joint industrial robots	85
Towards trustworthy rotating machinery fault diagnosis via attention uncertainty in transformer	83
A futuristic perspective on human-centric assembly	82
Digital Twin-driven machining process for thin-walled part manufacturing	82
Conceptual digital twin modeling based on an integrated five-dimensional framework and TRIZ function model	81
Digital twin-driven service model and optimal allocation of manufacturing resources in shared manufacturing	80
A supply chain disruption recovery strategy considering product change under COVID-19	80
Worker assistance systems in manufacturing: A review of the state of the art and future directions	80
Digital twin for cutting tool: Modeling, application and service strategy	80
Adoption of machine learning technology for failure prediction in industrial maintenance: A systematic review	80
Human centric platforms for personalized value creation in metaverse	79
Prediction maintenance integrated decision-making approach supported by digital twin-driven cooperative awareness and interconnection framework	78
Eco-friendly additive manufacturing of metals: Energy efficiency and life cycle analysis	77
Smart manufacturing powered by recent technological advancements: A review	77
Automated manufacturing system discovery and digital twin generation	76
Temporal convolutional network with soft thresholding and attention mechanism for machinery prognostics	75
Digital twin-based assembly data management and process traceability for complex products	75
Smart manufacturing scheduling: A literature review	75
Intelligent tool wear monitoring based on parallel residual and stacked bidirectional long short-term memory network	74
Multi-agent system and reinforcement learning approach for distributed intelligence in a flexible smart manufacturing system	74