OOIR: Observatory of International Research

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 2022-06-01 to 2026-06-01.)

Article	Citations
Structured stacked autoencoder with knowledge sharing for quality-related fault detection based on HSIC sparsity block division	257
Optimization of buffer design for mixed-model sequential production line based on simulation and reinforcement learning	191
CENet: improve counting performance of X-ray surface mounted chip counter via scale favor and cell extraction	172
Surface reconstruction of glass bottles using neural implicit representations for manufacturing system	170
Switch ON/OFF learning of one-dimensional convolutional neural network and one-dimensional generative adversarial network for fault detection	154
A normal weld recognition method for time-of-flight diffraction detection based on generative adversarial network	120
Variability-enhanced knowledge-based engineering (VEN) for reconfigurable molds	112
Machine learning-based non-destructive method for identifying defect causes in OLED displays to enhance productivity	97
Assessing quality risk scores using explainable artificial intelligence for advanced vision inspection	95
Detection and localization system for surface defects of automotive forgings based on machine vision	95
Automated neural network generation for industrial datasets, application to laser powder bed fusion	86
The multisensor information fusion-based deep learning model for equipment health monitor integrating subject matter expert knowledge	85
From framework to industrial implementation: the digital twin in process planning	83
A predictive modelling strategy for warpage and shrinkage defects in plastic injection molding using fuzzy logic and pattern search optimization	77
Digital twin for product versus project lifecycles’ development in manufacturing and construction industries	63
Warpage detection in 3D printing of polymer parts: a deep learning approach	59
Imbalanced fault diagnosis based on semi-supervised ensemble learning	59
Blockchain-based intelligent equipment assessment in manufacturing industry	56
Reverse engineering for programmable logic controller structure estimation via white box networks	55
A digital twin-assisted deep transfer learning method towards intelligent thermal error modeling of electric spindles	54
Random convolution layer: an auxiliary method to improve fault diagnosis performance	53
Dta-qc: an AI-driven framework for adaptive quality control and intelligent test optimization in 5 G manufacturing	53
Real-time monitoring of molten zinc splatter using machine learning-based computer vision	53
AI agent-driven process automation for dynamic production efficiency and intelligent equipment integration	51
Federated learning-based collaborative manufacturing for complex parts	50

WeldNet: a multimodal deep learning framework with validated synthetic augmentation for resistance spot weld quality assessment	49
Stable pushing in narrow passage environment using a modified hybrid A* algorithm	48
A dynamic surface roughness prediction system based on machine learning for the 3D-printed carbon-fiber-reinforced-polymer (CFRP) turning	45
Research advances in multimodal sensing and closed-loop control technology in laser powder bed fusion process based on deep learning	45
Machining tool identification utilizing temporal 3D point clouds	45
Cross-scene object relationship-driven object detection for flexible printed circuit production	44
Joint distribution domain adaptation: a novel meta-learning framework for cross-domain few-shot fault diagnosis	44
Real-time detection of blade surface defects based on the improved RT-DETR	43
Analysis of the performance of LSTM-DNN models with the consideration of signal complexity in milling processes	42
Generative AI in industrial machine vision: a review	42
Machine-learning-driven synergistic optimization of multi-objective mechanical properties in steel materials	41
Mitigating manufacturing defects in laser-powder bed fusion: a design-led compensation framework for truss-based metallic lattices	41
Machining accuracy prediction and adaptive compensation method of CNC machine tool under absence of machining process sensing	41
Reinforcement learning for sustainability enhancement of production lines	40
Bridging Physics and Data in Metal Powder Bed Fusion with Scientific Machine Learning	39
Design patterns of deep reinforcement learning models for job shop scheduling problems	39
Nash equilibrium as a tool for the Car Sequencing Problem 4.0	39
Remaining useful lifetime prediction for milling blades using a fused data prediction model (FDPM)	39
Developing an artificial neural network controller for accelerating the hot deformation of the titanium aluminide TNM-B1 using reinforcement learning and finite element simulations	39
Enhancing robustness to novel visual defects through StyleGAN latent space navigation: a manufacturing use case	39
Tool wear state monitoring for smart machining: A deep learning method with embedded physical knowledge	39