Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Cutting tool prognostics enabled by hybrid CNN-LSTM with transfer learning
Mohamed Marei, Weidong Li
The International Journal of Advanced Manufacturing Technology (2021) Vol. 118, Iss. 3-4, pp. 817-836
Closed Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

A Systematic Literature Review on Transfer Learning for Predictive Maintenance in Industry 4.0
Mehdi Saman Azari, Francesco Flammini, Stefania Santini, et al.
IEEE Access (2023) Vol. 11, pp. 12887-12910
Open Access | Times Cited: 42
State-of-art, challenges, and outlook on deep hole boring: chatter suppression, tool wear monitoring, and error measurement
Jiefu Sun, Chao Sun, Zheping Yan, et al.
The International Journal of Advanced Manufacturing Technology (2025)
Closed Access | Times Cited: 2
A Hybrid Attention-Based Paralleled Deep Learning model for tool wear prediction
Jian Duan, Xi Zhang, Tielin Shi
Expert Systems with Applications (2022) Vol. 211, pp. 118548-118548
Closed Access | Times Cited: 65
Tool wear condition monitoring across machining processes based on feature transfer by deep adversarial domain confusion network
Zhiwen Huang, Jiajie Shao, Jianmin Zhu, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 3, pp. 1079-1105
Closed Access | Times Cited: 22
Aero-engine gas path system health assessment based on depth digital twin
Liang Zhou, Huawei Wang, Shanshan Xu
Engineering Failure Analysis (2022) Vol. 142, pp. 106790-106790
Closed Access | Times Cited: 28
Artificial intelligence-based data-driven prognostics in industry: A survey
Mohamed A. El-Brawany, Dina A. Ibrahim, Hamdy K. Elminir, et al.
Computers & Industrial Engineering (2023) Vol. 184, pp. 109605-109605
Closed Access | Times Cited: 21
Toward practical tool wear prediction paradigm with optimized regressive Siamese neural network
Jian Duan, Jianqiang Liang, Xinjia Yu, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102200-102200
Closed Access | Times Cited: 17
Cross-domain tool wear condition monitoring via residual attention hybrid adaptation network
Zhiwen Huang, Weidong Li, Jianmin Zhu, et al.
Journal of Manufacturing Systems (2023) Vol. 72, pp. 406-423
Closed Access | Times Cited: 17
An Improved ResNet-1d with Channel Attention for Tool Wear Monitor in Smart Manufacturing
Liang Dong, Chensheng Wang, Guang Yang, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1240-1240
Open Access | Times Cited: 16
Machine learning for prognostics and health management of industrial mechanical systems and equipment: A systematic literature review
Lorenzo Polverino, Raffaele Abbate, Pasquale Manco, et al.
International Journal of Engineering Business Management (2023) Vol. 15
Open Access | Times Cited: 16
Bearing remaining useful life prediction with an improved CNN-LSTM network using an artificial gorilla troop optimization algorithm
Yonghua Li, Zhe Chen, Chaoqun Hu, et al.
Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability (2024)
Closed Access | Times Cited: 6
Hybrid CNN-LSTM model driven image segmentation and roughness prediction for tool condition assessment with heterogeneous data
Xu Zhu, Guilin Chen, Chao Ni, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 90, pp. 102796-102796
Closed Access | Times Cited: 6
A novel method based on deep transfer learning for tool wear state prediction under cross-dataset
Yifan Wang, Jie Gao, Wei Wang, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 131, Iss. 1, pp. 171-182
Closed Access | Times Cited: 5
Geometric Error Measurement of Rotary Axes on Five-Axis Machine Tools: A Review
Yu‐Ta Chen, Chien-Sheng Liu, Wen-Chi Shiau, et al.
International Journal of Precision Engineering and Manufacturing (2024) Vol. 25, Iss. 6, pp. 1311-1332
Closed Access | Times Cited: 5
A review of artificial intelligence application for machining surface quality prediction: from key factors to model development
Jeong Hoon Ko, Chen Yin
Journal of Intelligent Manufacturing (2025)
Open Access
On-machine inspection and compensation for thin-walled parts with sculptured surface considering cutting vibration and probe posture
Yanpeng Hao, Lida Zhu, Shaoqing Qin, et al.
International Journal of Extreme Manufacturing (2024) Vol. 6, Iss. 6, pp. 065602-065602
Open Access | Times Cited: 4
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
RUL Prediction of Rolling Bearings Based on Fruit Fly Optimization Algorithm Optimized CNN-LSTM Neural Network
Jiaping Shen, Haiting Zhou, Muda Jin, et al.
Lubricants (2025) Vol. 13, Iss. 2, pp. 81-81
Open Access
Tool Condition Monitoring Methods Applicable in the Metalworking Process
Melvin Alexis Lara de León, Jakub Kolařík, Radek Byrtus, et al.
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 1, pp. 221-242
Open Access | Times Cited: 12
Hybrid physics data-driven model-based fusion framework for machining tool wear prediction
Tianhong Gao, Haiping Zhu, Jun Wu, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 132, Iss. 3-4, pp. 1481-1496
Closed Access | Times Cited: 3
Few-shot RUL prediction for engines based on CNN-GRU model
Shuhan Sun, Jiongqi Wang, Yaqi Xiao, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Misalignment detection on linear feed axis using sensorless motor current signals
Mustafa Demetgul, Ma Zihan, Imanuel Heider, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 126, Iss. 5-6, pp. 2677-2691
Open Access | Times Cited: 8
Semi-supervised multi-source meta-domain generalization method for tool wear state prediction under varying cutting conditions
Wangyang Li, Hongya Fu, Yue Zhuo, et al.
Journal of Manufacturing Systems (2023) Vol. 71, pp. 323-341
Closed Access | Times Cited: 8
Edge computing-based proactive control method for industrial product manufacturing quality prediction
Mo Chen, Zhe Wei, Li Li, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
A Full Transfer Learning LSTM-Based Fractional Order Optimization Method of GM($r$,2) for Inferring Driving Intention
Yufeng Lian, Zhongbo Sun, Shuaishi Liu, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 9, pp. 10741-10753
Closed Access | Times Cited: 2
Page 1 - Next Page

Scroll to top