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 Novel Multivariate Cutting Force-Based Tool Wear Monitoring Method Using One-Dimensional Convolutional Neural Network
Yang Xu, Rui Yuan, Yong Lv, et al.
Sensors (2022) Vol. 22, Iss. 21, pp. 8343-8343
Open Access | Times Cited: 15
Yang Xu, Rui Yuan, Yong Lv, et al.
Sensors (2022) Vol. 22, Iss. 21, pp. 8343-8343
Open Access | Times Cited: 15
Showing 15 citing articles:
Tool Wear Condition Monitoring Method Based on Deep Learning with Force Signals
Yaping Zhang, Xiaozhi Qi, Tao Wang, et al.
Sensors (2023) Vol. 23, Iss. 10, pp. 4595-4595
Open Access | Times Cited: 30
Yaping Zhang, Xiaozhi Qi, Tao Wang, et al.
Sensors (2023) Vol. 23, Iss. 10, pp. 4595-4595
Open Access | Times Cited: 30
Research on multi-signal milling tool wear prediction method based on GAF-ResNext
Yaonan Cheng, Mengda Lu, Xiaoyu Gai, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 85, pp. 102634-102634
Closed Access | Times Cited: 21
Yaonan Cheng, Mengda Lu, Xiaoyu Gai, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 85, pp. 102634-102634
Closed Access | Times Cited: 21
A tool wear condition monitoring method for non-specific sensing signals
Yezhen Peng, Qinghua Song, Runqiong Wang, et al.
International Journal of Mechanical Sciences (2023) Vol. 263, pp. 108769-108769
Closed Access | Times Cited: 13
Yezhen Peng, Qinghua Song, Runqiong Wang, et al.
International Journal of Mechanical Sciences (2023) Vol. 263, pp. 108769-108769
Closed Access | Times Cited: 13
Deep Learning Tool Wear State Identification Method Based on Cutting Force Signal
Shuhang Li, Meiqiu Li, Yingning Gao
Sensors (2025) Vol. 25, Iss. 3, pp. 662-662
Open Access
Shuhang Li, Meiqiu Li, Yingning Gao
Sensors (2025) Vol. 25, Iss. 3, pp. 662-662
Open Access
Toward high-performance machining of thin-walled parts: Fusion of parallel spatial–temporal information in high-speed milling for monitoring tool wear
Yezhen Peng, Qinghua Song, Runqiong Wang, et al.
Measurement (2025), pp. 116899-116899
Closed Access
Yezhen Peng, Qinghua Song, Runqiong Wang, et al.
Measurement (2025), pp. 116899-116899
Closed Access
ConvLSTM-Att: An Attention-Based Composite Deep Neural Network for Tool Wear Prediction
Renwang Li, Xiaolei Ye, Yang Fangqing, et al.
Machines (2023) Vol. 11, Iss. 2, pp. 297-297
Open Access | Times Cited: 12
Renwang Li, Xiaolei Ye, Yang Fangqing, et al.
Machines (2023) Vol. 11, Iss. 2, pp. 297-297
Open Access | Times Cited: 12
Wear monitoring based on vibration measurement during machining: An application of FDM and EMD
Dany Katamba Mpoyi, A. Lay Ekuakille, Moise Avoci Ugwiri, et al.
Measurement Sensors (2024) Vol. 32, pp. 101051-101051
Open Access | Times Cited: 3
Dany Katamba Mpoyi, A. Lay Ekuakille, Moise Avoci Ugwiri, et al.
Measurement Sensors (2024) Vol. 32, pp. 101051-101051
Open 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
Xing Shui, Zhijun Rong, Binbin Dan, et al.
Machines (2024) Vol. 12, Iss. 3, pp. 184-184
Open Access | Times Cited: 3
Research on tap breakage monitoring method for tapping process based on SSAELSTM fusion network
Ting Chen, Jianming Zheng, Chao Peng, et al.
Measurement (2024) Vol. 236, pp. 115076-115076
Closed Access | Times Cited: 2
Ting Chen, Jianming Zheng, Chao Peng, et al.
Measurement (2024) Vol. 236, pp. 115076-115076
Closed Access | Times Cited: 2
Tool condition monitoring for cavity milling based on bispectrum analysis and Bayesian optimized SVM
Yuhang Li, Guofeng Wang, Mantang Hu, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 133, Iss. 7-8, pp. 3873-3889
Open Access | Times Cited: 1
Yuhang Li, Guofeng Wang, Mantang Hu, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 133, Iss. 7-8, pp. 3873-3889
Open Access | Times Cited: 1
非平稳过程异常监测方法：综述与展望
Min Wang, Zhibin Feng, Dehao Wu, et al.
Scientia Sinica Informationis (2024) Vol. 54, Iss. 8, pp. 1807-1807
Open Access
Min Wang, Zhibin Feng, Dehao Wu, et al.
Scientia Sinica Informationis (2024) Vol. 54, Iss. 8, pp. 1807-1807
Open Access
Iterative feature mode decomposition: A novel adaptive denoising method for mechanical fault diagnosis
Xiaolong Ruan, Rui Yuan, Zhang Dang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096101-096101
Closed Access
Xiaolong Ruan, Rui Yuan, Zhang Dang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096101-096101
Closed Access
Research on multiparameter state monitoring of boring process
Qiang Liu, Bin Shen, Jing Ma, et al.
Research Square (Research Square) (2024)
Open Access
Qiang Liu, Bin Shen, Jing Ma, et al.
Research Square (Research Square) (2024)
Open Access
Advances in Research on Tool Wear Online Monitoring Method
Xitong Wu, Guohe Li, Zhihua Shao, et al.
Recent Patents on Engineering (2023) Vol. 18, Iss. 6
Closed Access
Xitong Wu, Guohe Li, Zhihua Shao, et al.
Recent Patents on Engineering (2023) Vol. 18, Iss. 6
Closed Access
Tool condition monitoring for cavity milling based on bispectrum analysis and Bayesian optimized SVM
Yuhang Li, Guofeng Wang, Mantang Hu, et al.
Research Square (Research Square) (2023)
Open Access
Yuhang Li, Guofeng Wang, Mantang Hu, et al.
Research Square (Research Square) (2023)
Open Access
