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 prediction based on multidomain feature fusion by attention-based depth-wise separable convolutional neural network in manufacturing
Guofa Li, Yanbo Wang, Jili Wang, et al.
The International Journal of Advanced Manufacturing Technology (2021) Vol. 124, Iss. 11-12, pp. 3857-3874
Closed Access | Times Cited: 8
Guofa Li, Yanbo Wang, Jili Wang, et al.
The International Journal of Advanced Manufacturing Technology (2021) Vol. 124, Iss. 11-12, pp. 3857-3874
Closed Access | Times Cited: 8
Showing 8 citing articles:
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: 8
Zhongyuan Che, Chong Peng, T. Warren Liao, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124556-124556
Closed Access | Times Cited: 8
Deep learning-based CNC milling tool wear stage estimation with multi-signal analysis
Yunus Emre Karabacak
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2023) Vol. 25, Iss. 3
Open Access | Times Cited: 14
Yunus Emre Karabacak
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2023) Vol. 25, Iss. 3
Open Access | Times Cited: 14
Intelligent recognition of tool wear in milling based on a single sensor signal
Yezhen Peng, Qinghua Song, Runqiong Wang, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 124, Iss. 3-4, pp. 1077-1093
Closed Access | Times Cited: 16
Yezhen Peng, Qinghua Song, Runqiong Wang, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 124, Iss. 3-4, pp. 1077-1093
Closed Access | Times Cited: 16
Tool Wear Prediction Model Using Multi-Channel 1D Convolutional Neural Network and Temporal Convolutional Network
Min Huang, Xingang Xie, Weiwei Sun, et al.
Lubricants (2024) Vol. 12, Iss. 2, pp. 36-36
Open Access | Times Cited: 3
Min Huang, Xingang Xie, Weiwei Sun, et al.
Lubricants (2024) Vol. 12, Iss. 2, pp. 36-36
Open Access | Times Cited: 3
Novel tool wear prediction method based on multimodal information fusion and deep subdomain adaptation
Wen Hou, Jiachang Wang, Leilei Wang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112128-112128
Closed Access | Times Cited: 2
Wen Hou, Jiachang Wang, Leilei Wang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112128-112128
Closed Access | Times Cited: 2
SoC-Based Early Failure Detection System Using Deep Learning for Tool Wear
Chung‐Wen Hung, Ching‐Hung Lee, Chien‐Chih Kuo, et al.
IEEE Access (2022) Vol. 10, pp. 70491-70501
Open Access | Times Cited: 11
Chung‐Wen Hung, Ching‐Hung Lee, Chien‐Chih Kuo, et al.
IEEE Access (2022) Vol. 10, pp. 70491-70501
Open Access | Times Cited: 11
An interpretable thread quality classification model for real-time inspection of tapping process
Kunyu Li, Qinghua Song, Jing Qin, et al.
Measurement (2024), pp. 116606-116606
Closed Access
Kunyu Li, Qinghua Song, Jing Qin, et al.
Measurement (2024), pp. 116606-116606
Closed Access
Deep Transfer Learning Based Multi-source Heterogeneous data Fusion with Application to Cross-scenario Tool Wear monitoring
Jihong Yan, Xiaofeng Wang, Ahad Ali
(2021), pp. 96-101
Closed Access | Times Cited: 1
Jihong Yan, Xiaofeng Wang, Ahad Ali
(2021), pp. 96-101
Closed Access | Times Cited: 1
