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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:

ACWGAN-GP for milling tool breakage monitoring with imbalanced data
Xuebing Li, Caixu Yue, Xianli Liu, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 85, pp. 102624-102624
Closed Access | Times Cited: 20

Showing 20 citing articles:

Toward digital twins for high-performance manufacturing: Tool wear monitoring in high-speed milling of thin-walled parts using domain knowledge
Runqiong Wang, Qinghua Song, Yezhen Peng, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 88, pp. 102723-102723
Closed Access | Times Cited: 16
ReF-DDPM: A novel DDPM-based data augmentation method for imbalanced rolling bearing fault diagnosis
Yu Tian, Chaoshun Li, Jie Huang, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110343-110343
Closed Access | Times Cited: 12
Review of advances in tool condition monitoring techniques in the milling process
T. Mohanraj, E S Kirubakaran, Dinesh Kumar Madheswaran, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 092002-092002
Closed Access | Times Cited: 10
Meta-learning-based approach for tool condition monitoring in multi-condition small sample scenarios
Bowen Zhang, Xianli Liu, Caixu Yue, et al.
Mechanical Systems and Signal Processing (2024) Vol. 216, pp. 111444-111444
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
Auxiliary input-enhanced siamese neural network: A robust tool wear prediction framework with improved feature extraction and generalization ability
Chenghan Wang, Bin Shen
Mechanical Systems and Signal Processing (2024) Vol. 211, pp. 111243-111243
Closed Access | Times Cited: 5
A Comprehensive Review of Deep Learning: Architectures, Recent Advances, and Applications
Ibomoiye Domor Mienye, Theo G. Swart
Information (2024) Vol. 15, Iss. 12, pp. 755-755
Open Access | Times Cited: 5
MCBA-MVACGAN: A Novel Fault Diagnosis Method for Rotating Machinery Under Small Sample Conditions
Wenhan Huang, Xiangfeng Zhang, Hong Jiang, et al.
Machines (2025) Vol. 13, Iss. 1, pp. 71-71
Open Access
A generalized generation and evaluation method for cutting process parameter knowledge based on CTGAN
Dan Li, Tianliang Hu, Lili Dong, et al.
Robotics and Computer-Integrated Manufacturing (2025) Vol. 94, pp. 102963-102963
Closed Access
Machining feature process route planning based on a graph convolutional neural network
Zhen Wang, Shusheng Zhang, Hang Zhang, et al.
Advanced Engineering Informatics (2023) Vol. 59, pp. 102249-102249
Closed Access | Times Cited: 10
Improved Generative Adversarial Network for Bearing Fault Diagnosis with a Small Number of Data and Unbalanced Data
Zhaohui Qin, Faguo Huang, Jiafang Pan, et al.
Symmetry (2024) Vol. 16, Iss. 3, pp. 358-358
Open Access | Times Cited: 3
Leveraging artificial intelligence for real-time indirect tool condition monitoring: From theoretical and technological progress to industrial applications
Delin Liu, Zhanqiang Liu, Bing Wang, et al.
International Journal of Machine Tools and Manufacture (2024) Vol. 202, pp. 104209-104209
Closed Access | Times Cited: 3
A novel cross-domain tool breakage monitoring method based on locality preserving joint transfer with intra-class compactness
Zhixin Xiao, Haifeng Ma, Qinghua Song, et al.
Journal of Manufacturing Processes (2024) Vol. 116, pp. 149-164
Closed Access | Times Cited: 2
A Generative AI approach to improve in-situ vision tool wear monitoring with scarce data
Alberto García-Pérez, María J. Gómez-Silva, Arturo de la Escalera-Hueso
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 2
Multi-source online transfer learning based on hybrid physics-data model for cross-condition tool health monitoring
Biyao Qiang, Kaining Shi, Junxue Ren, et al.
Journal of Manufacturing Systems (2024) Vol. 77, pp. 1-17
Closed Access | Times Cited: 2
Integrating Sensor Systems and Signal Processing for Sustainable Production: Analysis of Cutting Tool Condition
Edward Kozłowski, Katarzyna Antosz, Jarosław Sęp, et al.
Electronics (2023) Vol. 13, Iss. 1, pp. 185-185
Open Access | Times Cited: 6
Review of imbalanced fault diagnosis technology based on generative adversarial networks
Hualin Chen, Jianan Wei, Haisong Huang, et al.
Journal of Computational Design and Engineering (2024) Vol. 11, Iss. 5, pp. 99-124
Open Access | Times Cited: 1
Tool breakage monitoring driven by the real-time predicted spindle cutting torque using spindle servo signals
Yinghao Cheng, Yingguang Li, Guangxu Li, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 92, pp. 102888-102888
Closed Access | Times Cited: 1
Extremely imbalanced data intelligent fault diagnosis of rotating impeller with improved denoising diffusion probabilistic models
Zeyu Jiang, Zhaohui Ren, Yongchao Zhang, et al.
Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture (2024)
Closed Access | Times Cited: 1
Tool State Recognition Based on POGNN-GRU under Unbalanced Data
Weiming Tong, Jiaqi Shen, Zhongwei Li, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5433-5433
Open Access
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