Journal of Intelligent Manufacturing

Papers
(The H4-Index of Journal of Intelligent Manufacturing is 39. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
From framework to industrial implementation: the digital twin in process planning218
Switch ON/OFF learning of one-dimensional convolutional neural network and one-dimensional generative adversarial network for fault detection180
CENet: improve counting performance of X-ray surface mounted chip counter via scale favor and cell extraction160
Machine learning-based non-destructive method for identifying defect causes in OLED displays to enhance productivity160
The multisensor information fusion-based deep learning model for equipment health monitor integrating subject matter expert knowledge158
Data-driven product configuration improvement and product line restructuring with text mining and multitask learning130
Optimization of buffer design for mixed-model sequential production line based on simulation and reinforcement learning110
A machining feature recognition approach based on hierarchical neural network for multi-feature point cloud models109
A normal weld recognition method for time-of-flight diffraction detection based on generative adversarial network94
Blockchain-based intelligent equipment assessment in manufacturing industry90
Variability-enhanced knowledge-based engineering (VEN) for reconfigurable molds78
Warpage detection in 3D printing of polymer parts: a deep learning approach75
A predictive modelling strategy for warpage and shrinkage defects in plastic injection molding using fuzzy logic and pattern search optimization73
Imbalanced fault diagnosis based on semi-supervised ensemble learning70
A digital twin-assisted deep transfer learning method towards intelligent thermal error modeling of electric spindles69
Digital twin for product versus project lifecycles’ development in manufacturing and construction industries66
Random convolution layer: an auxiliary method to improve fault diagnosis performance65
Self learning-empowered thermal error control method of precision machine tools based on digital twin64
Digital Twin and web services for robotic deburring in intelligent manufacturing64
Reverse engineering for programmable logic controller structure estimation via white box networks61
Motion stage precision prediction for photonic integrated circuit assembly61
Machine-learning based process monitoring for automated composites manufacturing58
Context-sensitive lexicon for imbalanced text sentiment classification using bidirectional LSTM53
Machining tool identification utilizing temporal 3D point clouds51
A dynamic surface roughness prediction system based on machine learning for the 3D-printed carbon-fiber-reinforced-polymer (CFRP) turning51
Stability modeling for chatter avoidance in self-aware machining: an application of physics-guided machine learning49
Remaining useful lifetime prediction for milling blades using a fused data prediction model (FDPM)49
Generative AI in industrial machine vision: a review48
A multitask context-aware approach for design lesson-learned knowledge recommendation in collaborative product design47
Combining human guidance and structured task execution during physical human–robot collaboration43
Explainable neural network for time series-based condition monitoring in sheet metal shearing43
Enhancing robustness to novel visual defects through StyleGAN latent space navigation: a manufacturing use case42
Intelligent hierarchical compensation method for industrial robot positioning error based on compound branch neural network automatic creation42
Real-time monitoring of molten zinc splatter using machine learning-based computer vision42
Nash equilibrium as a tool for the Car Sequencing Problem 4.041
Machining accuracy prediction and adaptive compensation method of CNC machine tool under absence of machining process sensing41
Reinforcement learning for sustainability enhancement of production lines41
Stable pushing in narrow passage environment using a modified hybrid A* algorithm39
A chip inspection system based on a multiscale subarea attention network39
Design patterns of deep reinforcement learning models for job shop scheduling problems39
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