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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:

Unsupervised rolling bearing fault diagnosis method across working conditions based on multiscale convolutional neural network
H.C. Fu, Di Yu, Changshu Zhan, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 035018-035018
Closed Access | Times Cited: 10

Showing 10 citing articles:

Data-Driven Models Applied to Predictive and Prescriptive Maintenance of Wind Turbine: A Systematic Review of Approaches Based on Failure Detection, Diagnosis, and Prognosis
Rogério Adriano da Fonseca Santiago, Natasha Benjamim Barbosa, Henrique Gomes Mergulhão, et al.
Energies (2024) Vol. 17, Iss. 5, pp. 1010-1010
Open Access | Times Cited: 8
Prior knowledge embedding convolutional autoencoder: A single-source domain generalized fault diagnosis framework under small samples
Feiyu Lu, Qingbin Tong, Xuedong Jiang, et al.
Computers in Industry (2024) Vol. 164, pp. 104169-104169
Closed Access | Times Cited: 5
A multi-branch attention coupled convolutional domain adaptation network for bearing intelligent fault recognition under unlabeled sample scenarios
Maoyou Ye, Xiaoan Yan, Dong Jiang, et al.
Applied Soft Computing (2025), pp. 113053-113053
Closed Access
An unsupervised domain adaptation method for intelligent fault diagnosis based on target feature enhancement and feature-boundary alignment
Ming Xie, Jianxin Liu, Yifan Li, et al.
Journal of Intelligent Manufacturing (2025)
Closed Access
Fault diagnosis of axial piston pump based on multi-source subdomain adaptation and sensor data fusion
Hongbin Tang, Yangchun Gong, Jingnan Zhou
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086209-086209
Closed Access | Times Cited: 2
Wind Turbine Bearing Failure Diagnosis Using Multi-Scale Feature Extraction and Residual Neural Networks with Block Attention
Yuanqing Luo, Yuhang Yang, Shuang Kang, et al.
Actuators (2024) Vol. 13, Iss. 10, pp. 401-401
Open Access | Times Cited: 2
An improved federated learning method based on MF1-FedAvg and MSRANet for machinery fault diagnosis
Xiuyan Liu, Chunqiu Pang, Tingting Guo, et al.
Journal of Mechanical Science and Technology (2024) Vol. 38, Iss. 9, pp. 4683-4697
Closed Access | Times Cited: 1
LLM-based framework for bearing fault diagnosis
Laifa Tao, Haifei Liu, Guoao Ning, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112127-112127
Closed Access | Times Cited: 1
Experimental Investigation of the Differential Planetary Roller Screw Mechanism Intelligent Condition Monitoring and Public Dataset
Xing Du, Rui Tang, Jiacheng Miao, et al.
(2024)
Closed Access
Machine Learning-Enhanced Vision Systems for Cutting Tool Notch Detection in New Energy Battery Manufacturing
Ying Zheng, Muzi Wang, Gongchao Chen, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016017-016017
Closed Access
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