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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:

Separation method of rolling bearing compound fault characteristics based on Improved harmonic wavelet packet decomposition and fast ICA
Hua Huang, Wenhu Xue, Qianzhi Pang
Journal of Mechanical Science and Technology (2022) Vol. 36, Iss. 7, pp. 3263-3276
Closed Access | Times Cited: 8

Showing 8 citing articles:

Compound fault diagnosis of diesel engines by combining generative adversarial networks and transfer learning
Zhiquan Cui, Yanlin Lu, Yan Xu, et al.
Expert Systems with Applications (2024) Vol. 251, pp. 123969-123969
Closed Access | Times Cited: 10
Effect of surface micro-grooved textures in suppressing stick-slip vibration in high-speed train brake systems
Qian Zhang, Jiliang Mo, Z.Y. Xiang, et al.
Tribology International (2023) Vol. 189, pp. 108946-108946
Closed Access | Times Cited: 16
An autonomous recognition framework based on reinforced adversarial open set algorithm for compound fault of mechanical equipment
Zisheng Wang, Jianping Xuan, Tielin Shi
Mechanical Systems and Signal Processing (2024) Vol. 219, pp. 111596-111596
Closed Access | Times Cited: 7
Two-step filter-free phase retrieval approach based on independent component analysis and hyper ellipse fitting
Yifei Chen, Qinnan Zhang, Rui Li, et al.
Measurement (2025), pp. 117398-117398
Closed Access
Fault diagnosis of wind turbine blades with continuous wavelet transform based deep learning model using vibration signal
Manas Ranjan Sethi, Anjana Bharati Subba, Mohd Faisal, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109372-109372
Closed Access | Times Cited: 3
Compound Fault Feature Extraction of Rolling Bearing Acoustic Signals Based on AVMD-IMVO-MCKD
Shi-Shuai Wu, Jun Zhou, Tao Liu
Sensors (2022) Vol. 22, Iss. 18, pp. 6769-6769
Open Access | Times Cited: 9
A Detecting Method for “Weak” Friction-Induced Vibration Based on Cross-Correlation Analysis between Vibration and Sound Signals
Pengfei Xing, Yanchao Zhu, Guobin Li, et al.
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7468-7468
Open Access | Times Cited: 5
Study on the optimization of the classification method of rolling bearing fault type and damage degree based on SFO–VMD
Laixing Jing, Bian Jun, Xiangdong He, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125047-125047
Closed Access | Times Cited: 3
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