Journal of Intelligent Manufacturing

Papers
(The H4-Index of Journal of Intelligent Manufacturing is 37. 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 2020-07-01 to 2024-07-01.)
ArticleCitations
Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit118
Prediction of laser cutting parameters for polymethylmethacrylate sheets using random vector functional link network integrated with equilibrium optimizer116
Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review108
Synthetic data augmentation for surface defect detection and classification using deep learning103
Machine learning and deep learning based predictive quality in manufacturing: a systematic review97
Modelling and prediction of surface roughness in wire arc additive manufacturing using machine learning95
Machine learning integrated design for additive manufacturing88
A steel surface defect inspection approach towards smart industrial monitoring88
Quality 4.0: a review of big data challenges in manufacturing82
Field-synchronized Digital Twin framework for production scheduling with uncertainty81
Designing an adaptive production control system using reinforcement learning76
A review of motion planning algorithms for intelligent robots76
Designing and developing smart production planning and control systems in the industry 4.0 era: a methodology and case study72
Applications of artificial intelligence in engineering and manufacturing: a systematic review71
Automated surface defect detection framework using machine vision and convolutional neural networks70
Digitalization priorities of quality control processes for SMEs: a conceptual study in perspective of Industry 4.0 adoption65
Multitask learning for health condition identification and remaining useful life prediction: deep convolutional neural network approach62
From knowledge-based to big data analytic model: a novel IoT and machine learning based decision support system for predictive maintenance in Industry 4.060
Human-centred design in industry 4.0: case study review and opportunities for future research60
Machine-learning for automatic prediction of flatness deviation considering the wear of the face mill teeth59
Machine learning techniques in additive manufacturing: a state of the art review on design, processes and production control54
Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding51
Tool wear condition monitoring based on a two-layer angle kernel extreme learning machine using sound sensor for milling process51
An adaptive fault detection and root-cause analysis scheme for complex industrial processes using moving window KPCA and information geometric causal inference49
Enhancing wisdom manufacturing as industrial metaverse for industry and society 5.049
A digital twin emulator of a modular production system using a data-driven hybrid modeling and simulation approach48
A novel transfer learning fault diagnosis method based on Manifold Embedded Distribution Alignment with a little labeled data45
Control of deposition height in WAAM using visual inspection of previous and current layers44
Improving the accuracy of machine-learning models with data from machine test repetitions43
On-line prediction of ultrasonic elliptical vibration cutting surface roughness of tungsten heavy alloy based on deep learning41
Artificial intelligence application in fault diagnostics of rotating industrial machines: a state-of-the-art review40
Machine learning in continuous casting of steel: a state-of-the-art survey40
Automated inspection in robotic additive manufacturing using deep learning for layer deformation detection39
Machine learning-based optimization of process parameters in selective laser melting for biomedical applications39
Human factors in cobot era: a review of modern production systems features37
Synthetic image data augmentation for fibre layup inspection processes: Techniques to enhance the data set37
Editorial: intelligent manufacturing systems towards industry 4.0 era37
Predicting tool wear size across multi-cutting conditions using advanced machine learning techniques37
An effective approach for the dual-resource flexible job shop scheduling problem considering loading and unloading37
Surface roughness stabilization method based on digital twin-driven machining parameters self-adaption adjustment: a case study in five-axis machining37
A comprehensive review of robotic assembly line balancing problem37
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