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 pre-trained model based on graph-labeling graph neural networks for tool wear prediction under variable working conditions
Haitao Xu, Xu Yang, Wei Wang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125026-125026
Closed Access | Times Cited: 6
Haitao Xu, Xu Yang, Wei Wang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125026-125026
Closed Access | Times Cited: 6
Showing 6 citing articles:
Capacity estimation of lithium-ion batteries with automatic feature extraction and graph-enhanced LSTM
Jiangtao Xu, Jie Qu, Haitao Xu
Journal of Energy Storage (2024) Vol. 85, pp. 111131-111131
Closed Access | Times Cited: 8
Jiangtao Xu, Jie Qu, Haitao Xu
Journal of Energy Storage (2024) Vol. 85, pp. 111131-111131
Closed Access | Times Cited: 8
A survey on graph neural networks for remaining useful life prediction: Methodologies, evaluation and future trends
Yucheng Wang, Min Wu, Dongwei Li, et al.
Mechanical Systems and Signal Processing (2025) Vol. 229, pp. 112449-112449
Closed Access | Times Cited: 1
Yucheng Wang, Min Wu, Dongwei Li, et al.
Mechanical Systems and Signal Processing (2025) Vol. 229, pp. 112449-112449
Closed Access | Times Cited: 1
A Spatial–Temporal Adaptive Graph Convolutional Network with Multi-Sensor Signals for Tool Wear Prediction
Yu Xia, Guangji Zheng, Ye Li, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 2058-2058
Open Access
Yu Xia, Guangji Zheng, Ye Li, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 2058-2058
Open Access
Denoising Diffusion Probabilistic Model Enhanced Tool Condition Monitoring Method Under Imbalanced Conditions
Yu Fu, Meipeng Zhong, Junfeng Huang, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 015018-015018
Closed Access | Times Cited: 2
Yu Fu, Meipeng Zhong, Junfeng Huang, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 015018-015018
Closed Access | Times Cited: 2
A lightweight hybrid model-based condition monitoring method for grinding wheels using acoustic emission signals
Fan Xu, Jianwei Wu, D.P. Hong, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016145-016145
Closed Access | Times Cited: 1
Fan Xu, Jianwei Wu, D.P. Hong, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016145-016145
Closed Access | Times Cited: 1
Design Green Chemicals by Predicting Vaporization Properties Using Explainable Graph Attention Networks
Yeonjoon Kim, Jae‐Young Cho, Hojin Jung, et al.
Green Chemistry (2024) Vol. 26, Iss. 19, pp. 10247-10264
Open Access
Yeonjoon Kim, Jae‐Young Cho, Hojin Jung, et al.
Green Chemistry (2024) Vol. 26, Iss. 19, pp. 10247-10264
Open Access
