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:
Cross-domain fault diagnosis of rotating machinery based on graph feature extraction
Pei Wang, Jie Liu, Jianzhong Zhou, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 2, pp. 025116-025116
Closed Access | Times Cited: 6
Pei Wang, Jie Liu, Jianzhong Zhou, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 2, pp. 025116-025116
Closed Access | Times Cited: 6
Showing 6 citing articles:
Lightweight rotating machinery fault diagnosis based on quadratic convolutional neural network and evidence fusion of multi-source sensor information
Shanshan Wang, W. Y. Han, Hao Zhang, et al.
Journal of Instrumentation (2025) Vol. 20, Iss. 02, pp. P02019-P02019
Closed Access
Shanshan Wang, W. Y. Han, Hao Zhang, et al.
Journal of Instrumentation (2025) Vol. 20, Iss. 02, pp. P02019-P02019
Closed Access
Federated domain generalization with global robust model aggregation strategy for bearing fault diagnosis
X.C. Cong, Yan Song, Yibin Li, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 11, pp. 115116-115116
Closed Access | Times Cited: 10
X.C. Cong, Yan Song, Yibin Li, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 11, pp. 115116-115116
Closed Access | Times Cited: 10
Knowledge-driven domain adaptation strategy for rotating machinery fault diagnosis under varying working condition
Junyu Chang, Jiaqi Yao, Xu Chen, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 056110-056110
Open Access | Times Cited: 2
Junyu Chang, Jiaqi Yao, Xu Chen, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 056110-056110
Open Access | Times Cited: 2
Intelligent fault diagnosis for variable working conditions of rotor-bearing system based on vibration image and domain adaptation
Mengting Zhu, Xiaoyue Liu, Cong Peng, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125105-125105
Closed Access | Times Cited: 2
Mengting Zhu, Xiaoyue Liu, Cong Peng, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125105-125105
Closed Access | Times Cited: 2
A feature extraction method for rotating machinery fault diagnosis based on a target detection index and successive variational mode decomposition
Chaofan Cao, Guangtao Zhang, Zhongliang Li, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 036108-036108
Closed Access | Times Cited: 2
Chaofan Cao, Guangtao Zhang, Zhongliang Li, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 036108-036108
Closed Access | Times Cited: 2
An enhanced meta-learning network with sensitivity penalty for cross-domain few-shot fault diagnosis
Mingzhe Mu, Hongkai Jiang, Wenxin Jiang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 095106-095106
Closed Access
Mingzhe Mu, Hongkai Jiang, Wenxin Jiang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 095106-095106
Closed Access
