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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 prediction method based on symmetrized dot pattern and multi-covariance Gaussian process regression
Chuandong Zhang, Wei Wang, Hai Li
Measurement (2021) Vol. 189, pp. 110466-110466
Closed Access | Times Cited: 40

Showing 26-50 of 40 citing articles:

Research on intelligent tool condition monitoring based on data-driven: a review
Yaonan Cheng, Rui Guan, Yingbo Jin, et al.
Journal of Mechanical Science and Technology (2023) Vol. 37, Iss. 7, pp. 3721-3738
Closed Access | Times Cited: 5
Application of cutting power consumption in tool condition monitoring and wear prediction based on Gaussian process regression under variable cutting parameters
Biyao Qiang, Kaining Shi, Ning Liu, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 124, Iss. 1-2, pp. 37-50
Closed Access | Times Cited: 8
Machining process condition monitoring based on ordinal pattern analysis and image matching
Yazhou Li, Wei Dai, Junjun Dong, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 125, Iss. 7-8, pp. 3329-3347
Closed Access | Times Cited: 4
Fault diagnosis using signal processing and deep learning-based image pattern recognition
Zhenxing Ren, Jianfeng Guo
tm - Technisches Messen (2024) Vol. 91, Iss. 2, pp. 129-138
Closed Access | Times Cited: 1
Bearing fault diagnosis based on the feature enhancement of improved mean differential SDP imagesā˜…
Wei Wang, Yongjian Sun
Engineering Research Express (2024) Vol. 6, Iss. 1, pp. 015039-015039
Open Access | Times Cited: 1
Study of an ISSA-XGBoost model for milling tool wear prediction under variable working conditions
S. -L. Chen, Zengbin Yin, Lei Zheng, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 133, Iss. 5-6, pp. 2761-2774
Closed Access | Times Cited: 1
Fault Diagnosis of Rolling Bearings Based on the Improved Symmetrized Dot Pattern Enhanced Convolutional Neural Networks
Xiaoping Liu, Lijian Xia, Jian Shi, et al.
Journal of Vibration Engineering & Technologies (2023) Vol. 12, Iss. 2, pp. 1897-1908
Closed Access | Times Cited: 3
Identification of Milling Cutter Wear State under Variable Working Conditions Based on Optimized SDP
Hao Chang, Feng Gao, Yan Li, et al.
Applied Sciences (2024) Vol. 14, Iss. 10, pp. 4314-4314
Open Access
A method for remaining useful life prediction of milling cutter using multi-scale spatial data feature visualization and domain separation prediction network
Qiang Liu, Jiaqi Liu, Xianli Liu, et al.
Mechanical Systems and Signal Processing (2024) Vol. 225, pp. 112251-112251
Closed Access
Intelligent Tool Wear Monitoring Method Using a Convolutional Neural Network and an Informer
Xingang Xie, Min Huang, Weiwei Sun, et al.
Lubricants (2023) Vol. 11, Iss. 9, pp. 389-389
Open Access | Times Cited: 1
A Gaussian Process State Space Model Fusion Physical Model and Residual Analysis for Fatigue Evaluation
Aijun Yin, Junlin Zhou, Tianyou Liang
Sensors (2022) Vol. 22, Iss. 7, pp. 2540-2540
Open Access | Times Cited: 1
Contact Fatigue State Identification of Specimen Based on Heterogeneous Data and Evidence Theory
Xiang Chen, Yu Liu, Yuan Fu, et al.
Applied Sciences (2022) Vol. 12, Iss. 17, pp. 8509-8509
Open Access | Times Cited: 1
Intelligent detection approach for the critical part in the landing gear of UAV based on the FSDP figure and DCNN
Zhe CHENG, Yi Yang, Niaoqing Hu
Scientia Sinica Technologica (2023)
Closed Access
Intelligent diagnosis approach for the critical structural part based on FSDP figure and DCNN
Zhe Cheng, Haoyu Luo, Yuehao Li, et al.
(2023), pp. 1-7
Closed Access
Application of cutting power in tool condition monitoring and wear prediction based on Gaussian process regression under variable cutting parameters
Biyao Qiang, Kaining Shi, Ning Liu, et al.
Research Square (Research Square) (2022)
Open Access
Deep Transfer Residual Variational Autoencoder with Multi-Sensors Fusion for Tool Condition Monitoring in Impeller Machining
Jiayu Ou, Hongkun Li, Bo Liu, et al.
SSRN Electronic Journal (2022)
Closed Access
Multi-factor machining condition monitoring method based on ordinal pattern analysis and image matching
Yazhou Li, Wei Dai, Tong Li
2022 Global Reliability and Prognostics and Health Management (PHM-Yantai) (2022) Vol. 190, pp. 1-6
Closed Access
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