OOIR: Observatory of International Research

Papers

(The H4-Index of Journal of Intelligent Manufacturing is 38. 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 2021-03-01 to 2025-03-01.)

Article	Citations
Harnessing of in situ processing data to predict mechanical properties of laser powder bed fusion AlSi10Mg	174
Simulation of semiconductor wafer dicing induced faults on chips and their application as augmentation method for a deep learning based visual inspection system	171
Optimizing electrohydrodynamic direct-writing with multilayer perceptron: accurate and efficient predictions of jet profiles	145
Switch ON/OFF learning of one-dimensional convolutional neural network and one-dimensional generative adversarial network for fault detection	123
Six-dimensional digital twin modeling and software platform design for complex industrial systems	113
VIRL: Volume-Informed Representation Learning towards few-shot manufacturability estimation	109
In-situ evaluation of hole quality and cutting tool condition in robotic drilling of composite materials using machine learning	105
Multi-agent reinforcement learning based on graph convolutional network for flexible job shop scheduling	101
Machine learning approach to packaging compatibility testing in the new product development process	95
The effects of role transitions and adaptation in human–cobot collaboration	91
Transformation of a rolling mill aggregate to a cyber physical production system: from sensor retrofitting to machine learning	91
Indirect porosity detection and root-cause identification in WAAM	83
Process parameter optimization for reproducible fabrication of layer porosity quality of 3D-printed tissue scaffold	80
A virtual sensor for backlash in robotic manipulators	71
Measuring manufacturing system complexity: a literature review	68
A hierarchical ensemble causal structure learning approach for wafer manufacturing	68
A novel machine learning algorithm for interval systems approximation based on artificial neural network	62
Data-driven product configuration improvement and product line restructuring with text mining and multitask learning	57
A real spatial–temporal attention denoising network for nugget quality detection in resistance spot weld	55
Novel method for detection of mixed-type defect patterns in wafer maps based on a single shot detector algorithm	54
Object detection for blind inspection of industrial products based on neural architecture search	54
CD3IS: cross dimensional 3D instance segmentation network for production workshop	52
CENet: improve counting performance of X-ray surface mounted chip counter via scale favor and cell extraction	49
A digital twin-driven cutting force adaptive control approach for milling process	48
Reconfigurability improvement in Industry 4.0: a hybrid genetic algorithm-based heuristic approach for a co-generation of setup and process plans in a reconfigurable environment	46

An end-to-end welding defect detection approach based on titanium alloy time-of-flight diffraction images	46
Digital twin-based real-time energy optimization method for production line considering fault disturbances	46
A path planning algorithm for PCB surface quality automatic inspection	45
A review of motion planning algorithms for intelligent robots	44
Deep learning for machine health prognostics using Kernel-based feature transformation	43
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	42
Digital Twin and web services for robotic deburring in intelligent manufacturing	41
Predicting the number of printed cells during inkjet-based bioprinting process based on droplet velocity profile using machine learning approaches	41
Retraction Note: Visual sensor intelligent module based image transmission in industrial manufacturing for monitoring and manipulation problems	41
A review of machine learning techniques for process and performance optimization in laser beam powder bed fusion additive manufacturing	41
Deep learning-based conductive particle inspection for TFT-LCDs inspired by parametric space envelope	40
Development of a surrogate model for high-fidelity laser powder-bed fusion using tensor train and gaussian process regression	40
Optimal droplet transfer mode maintenance for wire + arc additive manufacturing (WAAM) based on deep learning	39
Imbalanced fault diagnosis based on semi-supervised ensemble learning	38