OOIR: Observatory of International Research

Papers

(The H4-Index of Journal of Intelligent Manufacturing is 41. 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 2021-11-01 to 2025-11-01.)

Article	Citations
CENet: improve counting performance of X-ray surface mounted chip counter via scale favor and cell extraction	240
Switch ON/OFF learning of one-dimensional convolutional neural network and one-dimensional generative adversarial network for fault detection	212
The multisensor information fusion-based deep learning model for equipment health monitor integrating subject matter expert knowledge	194
Surface reconstruction of glass bottles using neural implicit representations for manufacturing system	186
Digital Twin and web services for robotic deburring in intelligent manufacturing	182
Automated neural network generation for industrial datasets, application to laser powder bed fusion	155
A digital twin-assisted deep transfer learning method towards intelligent thermal error modeling of electric spindles	133
Variability-enhanced knowledge-based engineering (VEN) for reconfigurable molds	124
Detection and localization system for surface defects of automotive forgings based on machine vision	110
Reverse engineering for programmable logic controller structure estimation via white box networks	105
Random convolution layer: an auxiliary method to improve fault diagnosis performance	104
Warpage detection in 3D printing of polymer parts: a deep learning approach	100
A normal weld recognition method for time-of-flight diffraction detection based on generative adversarial network	80
A predictive modelling strategy for warpage and shrinkage defects in plastic injection molding using fuzzy logic and pattern search optimization	76
Imbalanced fault diagnosis based on semi-supervised ensemble learning	75
Blockchain-based intelligent equipment assessment in manufacturing industry	74
Data-driven product configuration improvement and product line restructuring with text mining and multitask learning	74
A machining feature recognition approach based on hierarchical neural network for multi-feature point cloud models	73
From framework to industrial implementation: the digital twin in process planning	71
Digital twin for product versus project lifecycles’ development in manufacturing and construction industries	68
Optimization of buffer design for mixed-model sequential production line based on simulation and reinforcement learning	67
Machine learning-based non-destructive method for identifying defect causes in OLED displays to enhance productivity	66
Explainable neural network for time series-based condition monitoring in sheet metal shearing	65
Mitigating manufacturing defects in laser-powder bed fusion: a design-led compensation framework for truss-based metallic lattices	64
Enhancing robustness to novel visual defects through StyleGAN latent space navigation: a manufacturing use case	56

Real-time monitoring of molten zinc splatter using machine learning-based computer vision	56
Stable pushing in narrow passage environment using a modified hybrid A* algorithm	51
Analysis of the performance of LSTM-DNN models with the consideration of signal complexity in milling processes	51
A chip inspection system based on a multiscale subarea attention network	50
Intelligent hierarchical compensation method for industrial robot positioning error based on compound branch neural network automatic creation	50
Nash equilibrium as a tool for the Car Sequencing Problem 4.0	49
Remaining useful lifetime prediction for milling blades using a fused data prediction model (FDPM)	48
Motion stage precision prediction for photonic integrated circuit assembly	48
Machining tool identification utilizing temporal 3D point clouds	48
A multitask context-aware approach for design lesson-learned knowledge recommendation in collaborative product design	46
Machining accuracy prediction and adaptive compensation method of CNC machine tool under absence of machining process sensing	43
Real-time detection of blade surface defects based on the improved RT-DETR	42
Cross-scene object relationship-driven object detection for flexible printed circuit production	41
Developing an artificial neural network controller for accelerating the hot deformation of the titanium aluminide TNM-B1 using reinforcement learning and finite element simulations	41
A dynamic surface roughness prediction system based on machine learning for the 3D-printed carbon-fiber-reinforced-polymer (CFRP) turning	41
Stability modeling for chatter avoidance in self-aware machining: an application of physics-guided machine learning	41