OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A review on deep learning in machining and tool monitoring: methods, opportunities, and challenges
Vahid Nasir, Farrokh Sassani
The International Journal of Advanced Manufacturing Technology (2021) Vol. 115, Iss. 9-10, pp. 2683-2709
Closed Access | Times Cited: 201

Showing 51-75 of 201 citing articles:

Prediction of 316 stainless steel low-cycle fatigue life based on machine learning
Hongyan Duan, Mengjie Cao, Lin Liu, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 12

The use of an artificial neural network for assessing tone perception in electric powertrain noise, vibration and harshness
Marcos Ricardo Souza, Ahmed Haris, L. Rodrigues, et al.
Meccanica (2024) Vol. 59, Iss. 3, pp. 433-459
Open Access | Times Cited: 4

PCB-Vision: A Multiscene RGB-Hyperspectral Benchmark Dataset of Printed Circuit Boards
Elias Arbash, Margret Fuchs, Behnood Rasti, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 10, pp. 17140-17158
Open Access | Times Cited: 4

Robotical Automation in CNC Machine Tools: A Review
Mohsen Soori, Fooad Karimi Ghaleh Jough, Roza Dastres, et al.
Acta Mechanica et Automatica (2024) Vol. 18, Iss. 3, pp. 434-450
Open Access | Times Cited: 4

Explainable AI (XAI) Techniques for Convolutional Neural Network-Based Classification of Drilled Holes in Melamine Faced Chipboard
Alexander Sieradzki, Jakub Bednarek, Albina Jegorowa, et al.
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7462-7462
Open Access | Times Cited: 4

Fault diagnosis of a CNC Hobbing Cutter through Machine Learning using three axis vibration data
Nagesh Tambake, Bhagyesh Deshmukh, Sujit S. Pardeshi, et al.
Heliyon (2025) Vol. 11, Iss. 2, pp. e41637-e41637
Open Access

An experimental anomaly detection framework for a conveyor motor system using recurrent neural network and dendritic gated neural network
Kahiomba Sonia Kiangala, Zenghui Wang
IET Collaborative Intelligent Manufacturing (2025) Vol. 7, Iss. 1
Open Access

Identification of position-related geometric error terms from profile error in four-axis ultra-precision machine tool based on Informer model
Yang Cao, Xuesen Zhao, S. Q. Qu, et al.
Journal of Manufacturing Processes (2025) Vol. 134, pp. 943-969
Closed Access

Intelligent wireless tool wear monitoring system based on chucked tool condition monitoring ring and deep learning
Ni Chen, Zhan Liu, Zhongling Xue, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103176-103176
Closed Access

Additive Manufacturing Modification by Artificial Intelligence, Machine Learning, and Deep Learning: A Review
Mohsen Soori, Fooad Karimi Ghaleh Jough, Roza Dastres, et al.
Deleted Journal (2025), pp. 200198-200198
Open Access

Role of IoT, Machine Learning, and Artificial Intelligence in Machine Tool Logistics
Balaji Gopalan, Vijaya GS, Abhinav Tiwary, et al.
Advances in logistics, operations, and management science book series (2025), pp. 369-398
Closed Access

A Spatial–Temporal Adaptive Graph Convolutional Network with Multi-Sensor Signals for Tool Wear Prediction
Yu Xia, Guangji Zheng, Ye Li, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 2058-2058
Open Access

Bayesian monitoring of machining processes using non-intrusive sensing and on-machine comparator measurement
Moschos Papananias
The International Journal of Advanced Manufacturing Technology (2025)
Open Access

Advancing Cybersecurity Through Machine Learning: A Scientometric Analysis of Global Research Trends and Influential Contributions
Kamran Razzaq, Mahmood Shah
Journal of Cybersecurity and Privacy (2025) Vol. 5, Iss. 2, pp. 12-12
Open Access

Semi-supervised prediction of milling cutter wear based on an empirical formula for cutting force and wear
Wujun Yu, Hongfei Zhan, Junhe Yu, et al.
The International Journal of Advanced Manufacturing Technology (2025)
Closed Access

Tool wear monitoring by ensemble learning and sensor fusion using power, sound, vibration, and AE signals
Vahid Nasir, Sina Dibaji, Kareem Alaswad, et al.
Manufacturing Letters (2021) Vol. 30, pp. 32-38
Closed Access | Times Cited: 31

Smart Manufacturing and Digitalization of Metrology: A Systematic Literature Review and a Research Agenda
Carlos Roberto Hall Barbosa, Manuel Sousa, Maria Fatima Ludovico de Almeida, et al.
Sensors (2022) Vol. 22, Iss. 16, pp. 6114-6114
Open Access | Times Cited: 19

Mineral Texture Classification Using Deep Convolutional Neural Networks: An Application to Zircons From Porphyry Copper Deposits
Chetan Nathwani, Jamie J. Wilkinson, William Brownscombe, et al.
Journal of Geophysical Research Solid Earth (2023) Vol. 128, Iss. 2
Open Access | Times Cited: 12

A Tool Condition Monitoring System Based on Low-Cost Sensors and an IoT Platform for Rapid Deployment
Johanna Marie Failing, José V. Abellán‐Nebot, Sergio Benavent, et al.
Processes (2023) Vol. 11, Iss. 3, pp. 668-668
Open Access | Times Cited: 11

Multi-condition wear prediction and assessment of milling cutters based on linear discriminant analysis and ensemble methods
Honggen Zhou, Shangshang Gao, Yang Xie, et al.
Measurement (2023) Vol. 216, pp. 112900-112900
Closed Access | Times Cited: 10

Building digital-twin virtual machining for milling chatter detection based on VMD, synchro-squeeze wavelet, and pre-trained network CNNs with vibration signals
Khairul Jauhari, Achmad Zaki Rahman, Mahfudz Al Huda, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 7, pp. 3083-3114
Closed Access | Times Cited: 10

Hyperparameter optimization strategy of multilayer perceptron model for injection molding quality prediction
Ming‐Shyan Huang, Chia Hao Chang
The International Journal of Advanced Manufacturing Technology (2024) Vol. 131, Iss. 3-4, pp. 1879-1895
Closed Access | Times Cited: 3

Tool Wear State Identification Based on the IWOA-VMD Feature Selection Method
Xing Shui, Zhijun Rong, Binbin Dan, et al.
Machines (2024) Vol. 12, Iss. 3, pp. 184-184
Open Access | Times Cited: 3

Cutting model integrated digital twin–based process monitoring in small-batch machining
Lele Bai, Jun Zhang, Jiaxing Yan, et al.
The International Journal of Advanced Manufacturing Technology (2024)
Closed Access | Times Cited: 3

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