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 improved fault diagnosis method for rolling bearings based on wavelet packet decomposition and network parameter optimization
Fangyuan Zhao, Yulian Jiang, Chao Cheng, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 025004-025004
Closed Access | Times Cited: 9

Showing 9 citing articles:

Advanced fault diagnostics in rotating machinery: A deep learning approach using octave theory of dynamic vibration signals
Dawei Zhang, Shuai Shao, Xuan Zhao, et al.
Journal of Vibration and Control (2025)
Closed Access

Novel practical predictive maintenance measurement solutions for industrial systems
Ke Feng, Ting-Yang Yu, Qing Ni, et al.
Measurement Science and Technology (2025) Vol. 36, Iss. 2, pp. 020203-020203
Closed Access

Multiscale Dynamic Weight Based Mixed Convolutional Neural Network for Fault Diagnosis of Rotating Machinery
Wenliao Du, Lingkai Yang, Xiaoyun Gong, et al.
IEEE Transactions on Instrumentation and Measurement (2025) Vol. 74, pp. 1-11
Closed Access

GNSS Signal Extraction Using CEEMDAN–WPD for Deformation Monitoring of Ropeway Pillars
Song Zhang, Yuntao Yang, Yilin Xie, et al.
Remote Sensing (2025) Vol. 17, Iss. 2, pp. 224-224
Open Access

A new multiple mixed augmentation-based transfer learning method for machinery fault diagnosis
Hangqi Ge, Changqing Shen, Xinhai Lin, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086141-086141
Open Access | Times Cited: 3

Threshold-optimized and features-fused semi-supervised domain adaptation method for rotating machinery fault diagnosis
Shenquan Wang, Fangyuan Zhao, Chao Cheng, et al.
Neurocomputing (2024), pp. 128734-128734
Closed Access | Times Cited: 1

CNN-ELMNet: Fault Diagnosis of Induction Motor Bearing Based on Cross-modal Vector Fusion
Lingzhi Yi, Yi Zhang, Jun Zhan, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 115114-115114
Closed Access

Weak fault feature extraction method of rolling bearing based on wavelet packet decomposition and optimized MCKD
Yao Jinbao, Bing Wang, B. Yue, et al.
Review of Scientific Instruments (2024) Vol. 95, Iss. 12
Closed Access

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