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:

A time-varying instantaneous frequency fault features extraction method of rolling bearing under variable speed
Baojia Chen, Zhichao Hai, Xueliang Chen, et al.
Journal of Sound and Vibration (2023) Vol. 560, pp. 117785-117785
Closed Access | Times Cited: 15

Showing 15 citing articles:

Rotating Machinery Fault Diagnosis Under Time-Varying Speeds: A Review
Dongdong Liu, Lingli Cui, Huaqing Wang
IEEE Sensors Journal (2023) Vol. 23, Iss. 24, pp. 29969-29990
Open Access | Times Cited: 54

Review of research on signal decomposition and fault diagnosis of rolling bearing based on vibration signal
Junning Li, Luo Wen-guang, Mengsha Bai
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 092001-092001
Closed Access | Times Cited: 9

Uncertainty-Weighted Domain Generalization for Remaining Useful Life Prediction of Rolling Bearings Under Unseen Conditions
S Tong, Yan Han, Xiaolong Zhang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 7, pp. 10933-10943
Closed Access | Times Cited: 4

Towards dual-perspective alignment: A novel hierarchical selective adversarial network for transfer fault diagnosis
Yansong Zhang, Xianfeng Yuan, Xilin Yang, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103113-103113
Closed Access

Spectral denoising random feature decomposition and its application in gear fault diagnosis
Feng Liu, Zhengyang Cheng, Xin Kang, et al.
Applied Acoustics (2025) Vol. 231, pp. 110562-110562
Closed Access

Overview of Condition Monitoring Technology for Variable-Speed Offshore Wind Turbines
Yuankui Wang, Hai Liu, Qingyuan Li, et al.
Energies (2025) Vol. 18, Iss. 5, pp. 1026-1026
Open Access

Enhancing industrial machinery maintenance through advanced fault and novelty detection using variational autoencoder and hybrid transformer model
H. Hamdaoui, Looh Augustine Ngiejungbwen, Jinan Gu, et al.
Structural Health Monitoring (2025)
Closed Access

A hybrid deep learning model for fault diagnosis of rolling bearings using raw vibration signals
Liang Jiang, Jiahui Tang, Sun Ning, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096201-096201
Open Access | Times Cited: 2

An ensemble deep learning approach for untrained compound fault diagnosis in bearings under unstable conditions
Miao Jiang, Yang Xiang
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 025907-025907
Closed Access | Times Cited: 4

Study on the dynamic characteristics of double row self-aligning roller bearings with surface faults
Huiming Yang, Yang Xia, Yuqi Huang
Industrial Lubrication and Tribology (2024)
Closed Access

Methodology for the Automated Selection of Time-Frequency Representations
Nathaniel DeVol, Christopher SaldaƱa, Katherine Fu
Journal of Sound and Vibration (2024), pp. 118788-118788
Closed Access

A depthwise separable convolution-based neural network for rolling bearing fault diagnosis
Rong Jiang, Chenxi Wu, Chao Zhong
Journal of Computational Methods in Sciences and Engineering (2024) Vol. 24, Iss. 6, pp. 4153-4170
Closed Access

Theoretical studies of vibrations and noise of grinding belt machines
Alexey N. Beskopylny, Alexander Chukarin, Dmitrii Dzhedirov, et al.
E3S Web of Conferences (2023) Vol. 402, pp. 10034-10034
Open Access | Times Cited: 1

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