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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:

Tool wear monitoring using an online, automatic and low cost system based on local texture
María Teresa Garcí­a-Ordás, Enrique Alegre, Rocío Aláiz-Rodríguez, et al.
Mechanical Systems and Signal Processing (2018) Vol. 112, pp. 98-112
Open Access | Times Cited: 86

Showing 51-75 of 86 citing articles:

Recent Progress of Chatter Detection and Tool Wear Online Monitoring in Machining Process: A Review and Future Prospects
Feng-ze Qin, Huajun Cao, Guibao Tao, et al.
International Journal of Precision Engineering and Manufacturing-Green Technology (2024) Vol. 12, Iss. 2, pp. 719-748
Closed Access | Times Cited: 2
A Use Case to Implement Machine Learning for Life Time Prediction of Manufacturing Tools
Robin Oberlé, Sebastian Schorr, Li Yi, et al.
Procedia CIRP (2020) Vol. 93, pp. 1484-1489
Open Access | Times Cited: 18
Surface Characteristics Measurement Using Computer Vision: A Review
Abdul Wahab Hashmi, Harlal Singh Mali, Anoj Meena, et al.
Computer Modeling in Engineering & Sciences (2022) Vol. 135, Iss. 2, pp. 917-1005
Open Access | Times Cited: 11
Real-time wear monitoring of hob cutter based on statistical analysis
Yachao Jia, Guolong Li, Xin Dong
ISA Transactions (2022) Vol. 129, pp. 691-702
Closed Access | Times Cited: 10
NJUST-CCTD: An Image Database for Milling Tool Wear Classification with Deep Learning
Yi Pan, Guoda Xu, Zhe Xiong, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 127, Iss. 7-8, pp. 3681-3698
Closed Access | Times Cited: 6
Visual high-precision detection method for tool damage based on visual feature migration and cutting edge reconstruction
Zukun Ye, Yulun Wu, Guocai Ma, et al.
The International Journal of Advanced Manufacturing Technology (2021) Vol. 114, Iss. 5-6, pp. 1341-1358
Open Access | Times Cited: 13
Machine Vision and Convolutional Neural Networks for Tool Wear Identification and Classification
Tiyamike Banda, Bryan Yeoh Wei Jie, Ali Akhavan Farid, et al.
Lecture notes in electrical engineering (2021), pp. 737-747
Closed Access | Times Cited: 12
Experimental research on the matrix cracks and delamination distribution and their monitoring methods during drilling UD-CFRP
Wentao Liu, Xuda Qin, Shipeng Li, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 130, Iss. 3-4, pp. 1595-1615
Open Access | Times Cited: 4
Development of Low-cost Wireless Monitoring System and Its Implementation on Computer Numerical Control Machine Tool
Muhamad Aditya Royandi, Iman Apriana Effendi, Asep Indra Komara, et al.
Sensors and Materials (2024) Vol. 36, Iss. 3, pp. 957-957
Open Access | Times Cited: 1
Dynamic milling force model considering vibration and tool flank wear width for monitoring tool states in machining of Ti-6AI-4V
Junjin Ma, Yujie Zhang, Jiao Feng, et al.
Journal of Manufacturing Processes (2024) Vol. 124, pp. 1519-1540
Closed Access | Times Cited: 1
A Review of Physics-Based, Data-Driven, and Hybrid Models for Tool Wear Monitoring
Haoyuan Zhang, Shanglei Jiang, Daqing Gao, et al.
Machines (2024) Vol. 12, Iss. 12, pp. 833-833
Open Access | Times Cited: 1
Preliminary study of phase-shifting strobo-stereoscopy for cutting tool monitoring
Xiangyu Guo, ChaBum Lee
Journal of Manufacturing Processes (2021) Vol. 64, pp. 1214-1222
Open Access | Times Cited: 10
Experimental investigation of different NN approaches for tool wear prediction based on vision system in turning of AISI 1045 steel
Prashant J. Bagga, Mayur A. Makhesana, Dhrumil L. Bhavsar, et al.
International Journal on Interactive Design and Manufacturing (IJIDeM) (2022) Vol. 17, Iss. 5, pp. 2565-2582
Closed Access | Times Cited: 7
A Novel Evaluation Metric Based on Dispersion of Wear Distance for In Situ Tool Condition Monitoring
Zhichao You, Shichao Li, Changgen Li, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 72, pp. 1-10
Closed Access | Times Cited: 7
Multi-dimension tool wear state assessment criterion on the spiral edge of the milling cutter
Ying Tian, Liming Yang
The International Journal of Advanced Manufacturing Technology (2022) Vol. 119, Iss. 11-12, pp. 8243-8256
Open Access | Times Cited: 6
Towards a Data-Driven Process Monitoring for Machining Operations Using the Example of Electric Drive Production
Dominik Kibkalt, Andreas Mayr, Johannes von Lindenfels, et al.
(2018), pp. 1-6
Closed Access | Times Cited: 9
MATWI: A Multimodal Automatic Tool Wear Inspection Dataset and Baseline Algorithms
L De Pauw, Thomas L. Jacobs, Toon Goedemé
Lecture notes in computer science (2023), pp. 255-269
Closed Access | Times Cited: 3
Assessment of milling condition by image processing of the produced surfaces
Nicolás A. Carbone, Luca Bernini, Paolo Albertelli, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 124, Iss. 5-6, pp. 1681-1697
Open Access | Times Cited: 5
A Multiscale Topographical Analysis Based on Morphological Information: The HEVC Multiscale Decomposition
Tarek Eseholi, François‐Xavier Coudoux, Patrick Corlay, et al.
Materials (2020) Vol. 13, Iss. 23, pp. 5582-5582
Open Access | Times Cited: 7
Machine Learning in Electric Motor Production - Potentials, Challenges and Exemplary Applications
Andreas Mayr, Johannes Seefried, Marco Ziegler, et al.
(2019), pp. 1-10
Closed Access | Times Cited: 6
Wear state evaluation of inner-diameter saw blade based on vibration and noise signals during processing
Yong-Chen Pei, Qin-Jian Liu, Ru-Shi Zhao, et al.
Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture (2020) Vol. 235, Iss. 4, pp. 741-750
Closed Access | Times Cited: 5
Machine Vision Based Smart Machining System Monitoring
Kunpeng Zhu
Springer series in advanced manufacturing (2021), pp. 267-295
Closed Access | Times Cited: 5
FlankPix: An Image Segmentation Algorithm for Flank Wear Analysis in Monel K500 Turning
Vedagiri Dilli Ganesh, Rammohan Bommi
Traitement du signal (2024) Vol. 41, Iss. 3, pp. 1625-1631
Open Access
Sustainable practices in manufacturing: harnessing deep learning techniques
Mathew Chacko
E3S Web of Conferences (2024) Vol. 501, pp. 01001-01001
Open Access
On-machine Wear Measurement for Milling Cutter Based on Machine Vision
Jiarui Yu, Tao Zan, Weibo Liu, et al.
(2024), pp. 314-318
Closed Access

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