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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 1-25 of 201 citing articles:

Machine learning and artificial intelligence in CNC machine tools, A review
Mohsen Soori, Behrooz Arezoo, Roza Dastres
Sustainable Manufacturing and Service Economics (2023) Vol. 2, pp. 100009-100009
Open Access | Times Cited: 96
A new lightweight deep neural network for surface scratch detection
Wei Li, Liangchi Zhang, Chuhan Wu, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 123, Iss. 5-6, pp. 1999-2015
Open Access | Times Cited: 87
Review of Intelligence for Additive and Subtractive Manufacturing: Current Status and Future Prospects
M. Rahman, Tanveer Saleh, Muhammad P. Jahan, et al.
Micromachines (2023) Vol. 14, Iss. 3, pp. 508-508
Open Access | Times Cited: 48
Chatter detection in milling processes—a review on signal processing and condition classification
John Henry Navarro-Devia, Yun Chen, Dzung Viet Dao, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 125, Iss. 9-10, pp. 3943-3980
Open Access | Times Cited: 44
Application of Machine Learning and Deep Learning in Finite Element Analysis: A Comprehensive Review
Dipjyoti Nath, Ankit, Debanga Raj Neog, et al.
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 5, pp. 2945-2984
Closed Access | Times Cited: 24
Machine learning models for prediction and classification of tool wear in sustainable milling of additively manufactured 316 stainless steel
Mohd Danish, Munish Kumar Gupta, Sayed Ameenuddin Irfan, et al.
Results in Engineering (2024) Vol. 22, pp. 102015-102015
Open Access | Times Cited: 19
AI for tribology: Present and future
Nian Yin, Pufan Yang, Songkai Liu, et al.
Friction (2024) Vol. 12, Iss. 6, pp. 1060-1097
Open Access | Times Cited: 17
Tool wear state recognition and prediction method based on laplacian eigenmap with ensemble learning model
Yang Xie, Shangshang Gao, Chaoyong Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102382-102382
Closed Access | Times Cited: 15
Review of advanced sensor system applications in grinding operations
Danil Yurievich Pimenov, Leonardo Rosa Ribeiro da Silva, Mustafa Kuntoğlu, et al.
Journal of Advanced Research (2025)
Open Access | Times Cited: 1
State-of-art, challenges, and outlook on deep hole boring: chatter suppression, tool wear monitoring, and error measurement
Jiefu Sun, Chao Sun, Zheping Yan, et al.
The International Journal of Advanced Manufacturing Technology (2025)
Closed Access | Times Cited: 1
Durability and protection of mass timber structures: A review
Samuel Ayanleye, Kenneth Emamoke Udele, Vahid Nasir, et al.
Journal of Building Engineering (2021) Vol. 46, pp. 103731-103731
Open Access | Times Cited: 82
Exploring deep learning capabilities for surge predictions in coastal areas
Timothy Tiggeloven, Anaïs Couasnon, Chiem van Straaten, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 63
Machine learning and IoT-based approach for tool condition monitoring: A review and future prospects
Minh‐Quang Tran, Hoang-Phuong Doan, Viet Q. Vu, et al.
Measurement (2022) Vol. 207, pp. 112351-112351
Closed Access | Times Cited: 63
A Virtual Soil Moisture Sensor for Smart Farming Using Deep Learning
Gabriele Patrizi, Alessandro Bartolini, Lorenzo Ciani, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Open Access | Times Cited: 52
Acoustic emission monitoring of wood materials and timber structures: A critical review
Vahid Nasir, Samuel Ayanleye, Siavash Kazemirad, et al.
Construction and Building Materials (2022) Vol. 350, pp. 128877-128877
Open Access | Times Cited: 49
Cutting temperature measurement and prediction in machining processes: comprehensive review and future perspectives
B. Guimarães, C.M. Fernandes, Daniel Figueiredo, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 120, Iss. 5-6, pp. 2849-2878
Closed Access | Times Cited: 41
Cutting tool wear state recognition based on a channel-space attention mechanism
Rongyi Li, Peining Wei, Xianli Liu, et al.
Journal of Manufacturing Systems (2023) Vol. 69, pp. 135-149
Closed Access | Times Cited: 31
A smartphone-based application for an early skin disease prognosis: Towards a lean healthcare system via computer-based vision
Mohammad Shahin, F. Frank Chen, Ali Hosseinzadeh, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102036-102036
Closed Access | Times Cited: 29
A milling tool wear monitoring method with sensing generalization capability
Runqiong Wang, Qinghua Song, Yezhen Peng, et al.
Journal of Manufacturing Systems (2023) Vol. 68, pp. 25-41
Closed Access | Times Cited: 28
Enhanced safety implementation in 5S + 1 via object detection algorithms
Mohammad Shahin, F. Frank Chen, Ali Hosseinzadeh, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 125, Iss. 7-8, pp. 3701-3721
Open Access | Times Cited: 26
A novel online tool condition monitoring method for milling titanium alloy with consideration of tool wear law
Bo Qin, Yongqing Wang, Kuo Liu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 199, pp. 110467-110467
Closed Access | Times Cited: 25
Remaining useful lifetime prediction for predictive maintenance in manufacturing
Bernar Taşcı, Ammar Omar, Serkan Ayvaz
Computers & Industrial Engineering (2023) Vol. 184, pp. 109566-109566
Open Access | Times Cited: 23
Tool wear condition monitoring across machining processes based on feature transfer by deep adversarial domain confusion network
Zhiwen Huang, Jiajie Shao, Jianmin Zhu, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 3, pp. 1079-1105
Closed Access | Times Cited: 22
Deep learning based automated fracture identification in material characterization experiments
Nikolaos Karathanasopoulos, Panagiotis Hadjidoukas
Advanced Engineering Informatics (2024) Vol. 60, pp. 102402-102402
Closed Access | Times Cited: 14
An online monitoring method of milling cutter wear condition driven by digital twin
Xintian Zi, Shangshang Gao, Yang Xie
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 10
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