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:
Milling cutter wear prediction method under variable working conditions based on LRCN
Changsen Yang, Jingtao Zhou, Enming Li, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 121, Iss. 3-4, pp. 2647-2661
Closed Access | Times Cited: 11
Changsen Yang, Jingtao Zhou, Enming Li, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 121, Iss. 3-4, pp. 2647-2661
Closed Access | Times Cited: 11
Showing 11 citing articles:
A critical review on mechanical micro-drilling of glass and carbon fibre reinforced polymer (GFRP and CFRP) composites
Norbert Geier, Karali Patra, Ravi Shankar Anand, et al.
Composites Part B Engineering (2023) Vol. 254, pp. 110589-110589
Open Access | Times Cited: 56
Norbert Geier, Karali Patra, Ravi Shankar Anand, et al.
Composites Part B Engineering (2023) Vol. 254, pp. 110589-110589
Open Access | Times Cited: 56
Improving milling tool wear prediction through a hybrid NCA-SMA-GRU deep learning model
Zhongyuan Che, Chong Peng, T. Warren Liao, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124556-124556
Closed Access | Times Cited: 7
Zhongyuan Che, Chong Peng, T. Warren Liao, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124556-124556
Closed Access | Times Cited: 7
A bio-inspired LIDA cognitive-based Digital Twin architecture for unmanned maintenance of machine tools
Jianhao Lv, Xinyu Li, Yicheng Sun, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 80, pp. 102489-102489
Closed Access | Times Cited: 30
Jianhao Lv, Xinyu Li, Yicheng Sun, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 80, pp. 102489-102489
Closed Access | Times Cited: 30
Online monitoring model of micro-milling force incorporating tool wear prediction process
Pengfei Ding, Xianzhen Huang, Chengying Zhao, et al.
Expert Systems with Applications (2023) Vol. 223, pp. 119886-119886
Closed Access | Times Cited: 19
Pengfei Ding, Xianzhen Huang, Chengying Zhao, et al.
Expert Systems with Applications (2023) Vol. 223, pp. 119886-119886
Closed Access | Times Cited: 19
Tool wear monitoring using a novel parallel BiLSTM model with multi-domain features for robotic milling Al7050-T7451 workpiece
Kaixing Zhang, Delong Zhou, Chang’an Zhou, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 129, Iss. 3-4, pp. 1883-1899
Closed Access | Times Cited: 5
Kaixing Zhang, Delong Zhou, Chang’an Zhou, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 129, Iss. 3-4, pp. 1883-1899
Closed Access | Times Cited: 5
A multi-dimensional cognitive framework for cognitive manufacturing based on OAR model
Tengyuan Jiang, Jingtao Zhou, Jianhua Zhao, et al.
Journal of Manufacturing Systems (2022) Vol. 65, pp. 469-485
Closed Access | Times Cited: 9
Tengyuan Jiang, Jingtao Zhou, Jianhua Zhao, et al.
Journal of Manufacturing Systems (2022) Vol. 65, pp. 469-485
Closed Access | Times Cited: 9
Study on the Cutting Performance and Remaining Life Prediction of Micro-Texture Ball End Milling Cutters for Titanium Alloys
Yuhua Zhang, Yongqing Fu, Quanxi Li, et al.
Coatings (2024) Vol. 14, Iss. 7, pp. 814-814
Open Access | Times Cited: 1
Yuhua Zhang, Yongqing Fu, Quanxi Li, et al.
Coatings (2024) Vol. 14, Iss. 7, pp. 814-814
Open Access | Times Cited: 1
A systematic multi-layer cognitive model for intelligent machine tool
Tengyuan Jiang, Jingtao Zhou, Xiang Luo, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access
Tengyuan Jiang, Jingtao Zhou, Xiang Luo, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access
Image recognition based on machine learning and wireless sensor networks for predicting material loss in milling cutters
Haoxuan Li
The International Journal of Advanced Manufacturing Technology (2024)
Closed Access
Haoxuan Li
The International Journal of Advanced Manufacturing Technology (2024)
Closed Access
A task-driven remaining useful life predicting method for key parts of electromechanical equipment under dynamic service environment
Zhigang Jiang, Qing Zhang, Shuo Zhu, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 125, Iss. 9-10, pp. 4149-4162
Closed Access | Times Cited: 1
Zhigang Jiang, Qing Zhang, Shuo Zhu, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 125, Iss. 9-10, pp. 4149-4162
Closed Access | Times Cited: 1
A Deep Learning Combination Model to Predict TBM Disc-cutter Wear Status
Lingxu Jia, Xiaobo Pu, Kedong Shang, et al.
2022 IEEE 17th Conference on Industrial Electronics and Applications (ICIEA) (2022), pp. 1469-1474
Closed Access
Lingxu Jia, Xiaobo Pu, Kedong Shang, et al.
2022 IEEE 17th Conference on Industrial Electronics and Applications (ICIEA) (2022), pp. 1469-1474
Closed Access
