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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:

An imbalanced data learning approach for tool wear monitoring based on data augmentation
Bowen Zhang, Xianli Liu, Caixu Yue, et al.
Journal of Intelligent Manufacturing (2023)
Closed Access | Times Cited: 13

Showing 13 citing articles:

Intelligent G-code-based power prediction of ultra-precision CNC machine tools through 1DCNN-LSTM-Attention model
Zhicheng Xu, Vignesh Selvaraj, Sangkee Min
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 7
A review: the application of generative adversarial network for mechanical fault diagnosis
Weiqing Liao, Ke Yang, Wenlong Fu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 062002-062002
Closed Access | Times Cited: 7
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
A tool wear monitoring method based on data-driven and physical output
Yiyuan Qin, Xianli Liu, Caixu Yue, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 91, pp. 102820-102820
Closed Access | Times Cited: 5
Comparative analysis of different machine vision algorithms for tool wear measurement during machining
Mayur A. Makhesana, Prashant J. Bagga, Kaushik M. Patel, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 4
Transformer-based conditional generative transfer learning network for cross domain fault diagnosis under limited data
Xiang Li, Jun Ma, Jiande Wu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
An oil wear particle identification method based on Wasserstein generative adversarial network and improved CNN using a custom-built optical imaging sensor
Zhenzhen Liu, Yan Liu, Fang Bai, et al.
Measurement (2024) Vol. 232, pp. 114663-114663
Closed Access | Times Cited: 2
Quality evaluation modeling of a DED-processed metallic deposition based on ResNet-50 with few training data
Hyunmin Park, Yun Seok Kang, Seung-Kyum Choi, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 1
A Review of Physics-Based, Data-Driven, and Hybrid Models for Tool Wear Monitoring
Haoyuan Zhang, Shanglei Jiang, Daqing Gao, et al.
Machines (2024) Vol. 12, Iss. 12, pp. 833-833
Open Access | Times Cited: 1
Optimizing Deep Learning for Efficient and Noise-Robust License Plate Detection and Recognition
Seong‐O Shim, Romil Imtiaz, Safa Habibullah, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 4
Open Access
Milling Cutter Wear State Identification Method Based on Improved ResNet-34 Algorithm
Yaohui Zheng, Bolin Chen, Bengang Liu, et al.
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 8951-8951
Open Access
Based on domain adversarial neural network with multiple loss collaborative optimization for milling tool wear state monitoring under different machining conditions
Qiang Liu, Jiaqi Liu, Xianli Liu, et al.
Precision Engineering (2024) Vol. 91, pp. 692-706
Closed 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
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