OOIR: Observatory of International Research

Papers

(The H4-Index of Journal of Intelligent Manufacturing is 36. 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
Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit	144
Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review	128
Synthetic data augmentation for surface defect detection and classification using deep learning	119
Machine learning and deep learning based predictive quality in manufacturing: a systematic review	114
Modelling and prediction of surface roughness in wire arc additive manufacturing using machine learning	111
Machine learning integrated design for additive manufacturing	95
A review of motion planning algorithms for intelligent robots	94
Automated surface defect detection framework using machine vision and convolutional neural networks	90
Quality 4.0: a review of big data challenges in manufacturing	88
Applications of artificial intelligence in engineering and manufacturing: a systematic review	87
Designing and developing smart production planning and control systems in the industry 4.0 era: a methodology and case study	80
From knowledge-based to big data analytic model: a novel IoT and machine learning based decision support system for predictive maintenance in Industry 4.0	76
Digitalization priorities of quality control processes for SMEs: a conceptual study in perspective of Industry 4.0 adoption	73
Human-centred design in industry 4.0: case study review and opportunities for future research	67
Machine learning techniques in additive manufacturing: a state of the art review on design, processes and production control	67
Enhancing wisdom manufacturing as industrial metaverse for industry and society 5.0	57
Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding	56
A systematic review of data-driven approaches to fault diagnosis and early warning	54
An adaptive fault detection and root-cause analysis scheme for complex industrial processes using moving window KPCA and information geometric causal inference	51
Human factors in cobot era: a review of modern production systems features	50
A digital twin emulator of a modular production system using a data-driven hybrid modeling and simulation approach	50
Machine learning in continuous casting of steel: a state-of-the-art survey	47
Artificial intelligence application in fault diagnostics of rotating industrial machines: a state-of-the-art review	47
Machine learning-based optimization of process parameters in selective laser melting for biomedical applications	42
A novel approach of tool condition monitoring in sustainable machining of Ni alloy with transfer learning models	42

An approach for tool wear prediction using customized DenseNet and GRU integrated model based on multi-sensor feature fusion	41
A systematic literature review on recent trends of machine learning applications in additive manufacturing	41
Editorial: intelligent manufacturing systems towards industry 4.0 era	41
Synthetic image data augmentation for fibre layup inspection processes: Techniques to enhance the data set	40
An effective approach for the dual-resource flexible job shop scheduling problem considering loading and unloading	40
Surface roughness stabilization method based on digital twin-driven machining parameters self-adaption adjustment: a case study in five-axis machining	40
Deep transfer learning based on dynamic domain adaptation for remaining useful life prediction under different working conditions	39
Few-shot fault diagnosis of rotating machinery with two-branch prototypical networks	38
Continual learning of neural networks for quality prediction in production using memory aware synapses and weight transfer	37
Robust modeling method for thermal error of CNC machine tools based on random forest algorithm	36
Smart sheet metal forming: importance of data acquisition, preprocessing and transformation on the performance of a multiclass support vector machine for predicting wear states during blanking	36