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:

Fault diagnosis for rolling bearings under unknown time-varying speed conditions with sparse representation
Fatao Hou, Ivan Selesnick, Jin Chen, et al.
Journal of Sound and Vibration (2020) Vol. 494, pp. 115854-115854
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

An Adaptive Domain Adaptation Method for Rolling Bearings’ Fault Diagnosis Fusing Deep Convolution and Self-Attention Networks
Xiao Yu, Youjie Wang, Zhongting Liang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 46

High-fidelity fault signature extraction of rolling bearings via nonconvex regularized sparse representation enhanced by flexible analytical wavelet transform
Chunlin Zhang, Yudong Qiang, Wenbo Hou, et al.
Structural Health Monitoring (2024) Vol. 23, Iss. 5, pp. 2869-2891
Closed Access | Times Cited: 10

Sparse and low-rank decomposition of the time–frequency representation for bearing fault diagnosis under variable speed conditions
Ran Wang, Haitao Fang, Longjing Yu, et al.
ISA Transactions (2021) Vol. 128, pp. 579-598
Closed Access | Times Cited: 38

Bearing Fault Diagnosis Under Variable Working Conditions Base on Contrastive Domain Adaptation Method
Yiyao An, Ke Zhang, Yi Chai, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Closed Access | Times Cited: 25

Sparsity enforced time–frequency decomposition in the Bayesian framework for bearing fault feature extraction under time-varying conditions
Ran Wang, Ruoyu Zhang, Haitao Fang, et al.
Mechanical Systems and Signal Processing (2022) Vol. 185, pp. 109755-109755
Closed Access | Times Cited: 24

Significance of multi-level fusion in multi-component fault diagnosis under speed varying condition in rotational machinery
M. Saimurugan, S. Sowmya, Immanuel Edinbarough
FME Transaction (2025) Vol. 53, Iss. 1, pp. 15-30
Open Access

Fault identification of rolling bearing with variable speed based on generalized broadband mode decomposition and distance evaluation technique
Hongyan Geng, Yanfeng Peng, Long Ye, et al.
Digital Signal Processing (2022) Vol. 129, pp. 103662-103662
Closed Access | Times Cited: 20

Synchroextracting frequency synchronous chirplet transform for fault diagnosis of rotating machinery under varying speed conditions
Chuancang Ding, Weiguo Huang, Changqing Shen, et al.
Structural Health Monitoring (2023) Vol. 23, Iss. 3, pp. 1403-1422
Closed Access | Times Cited: 11

Enhanced Sparse Regularization Based on Logarithm Penalty and Its Application to Gearbox Compound Fault Diagnosis
Yi Liao, Weiguo Huang, Changqing Shen, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-12
Closed Access | Times Cited: 25

Fault signature extraction of rolling bearings under variable speed via time–frequency overlap group sparse representation
Chunlin Zhang, Zhe Meng, Yanfeng Wang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 223, pp. 111823-111823
Closed Access | Times Cited: 3

Feature extraction of ultrasonic guided wave weld detection based on group sparse wavelet transform with tunable Q-factor
Yongjun Yang, Jiankang Zhong, Aisong Qin, et al.
Measurement (2022) Vol. 206, pp. 112314-112314
Closed Access | Times Cited: 15

New Approach for Bearing Fault Diagnosis Based on Fractional Spatio-Temporal Sparse Low Rank Matrix Under Multichannel Time-Varying Speed Condition
Qing Li
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-12
Closed Access | Times Cited: 12

Generalized Autocorrelation Method for Fault Detection Under Varying-Speed Working Conditions
Yongxiang Li, Huixian Zhao, Wei Fan, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-11
Closed Access | Times Cited: 14

Low-rank and periodic group sparse based signal denoising method for rolling bearing fault feature extraction
Qian Zhang, Xinxin Li, Weili Tang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 11, pp. 115012-115012
Closed Access | Times Cited: 5

A SENet-TSCNN model developed for fault diagnosis considering squeeze-excitation networks and two-stream feature fusion
Wujiu Pan, Yinghao Sun, R. C. H. Cheng, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125117-125117
Closed Access | Times Cited: 4

Fault identification of rolling bearings under linear varying speed based on the slope features of time–frequency ridges
Xiaohan Cheng, Yuan Long, Yuxin Lu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 205, pp. 110834-110834
Closed Access | Times Cited: 4

Fault Detection of Servo Motor Bearing Based on Speed Signal Under Variable Speed Conditions
Xu Huang, Jianzhong Zhang, Ming Cheng
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access | Times Cited: 1

Complementary-Label Adversarial Domain Adaptation Fault Diagnosis Network under Time-Varying Rotational Speed and Weakly-Supervised Conditions
Siyuan Liu, Huang Jin-ying, Jiancheng Ma, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 79, Iss. 1, pp. 761-777
Open Access | Times Cited: 1

Rolling Bearing Weak Fault Feature Extraction under Variable Speed Conditions via Joint Sparsity and Low-Rankness in the Cyclic Order-Frequency Domain
Ran Wang, Chenyu Zhang, Liang Yu, et al.
Applied Sciences (2022) Vol. 12, Iss. 5, pp. 2449-2449
Open Access | Times Cited: 7

A pyroshock signal characterization method based on shock-waveform dictionary
Yinzhong Yan, Q.M. Li
International Journal of Mechanical Sciences (2023) Vol. 249, pp. 108251-108251
Closed Access | Times Cited: 3

A time-frequency sparse strategy based on optimal flux atom and scale lp approximation operator
Changkun Han, Wei Lü, Pengxin Wang, et al.
Measurement Science and Technology (2022) Vol. 33, Iss. 7, pp. 075109-075109
Closed Access | Times Cited: 4

Rolling bearing incipient fault feature extraction using impulse-enhanced sparse time-frequency representation
Hongxuan Zhu, Hongkai Jiang, Renhe Yao, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 10, pp. 105124-105124
Closed Access | Times Cited: 2

Bearing fault diagnosis based on improved cepstrum under variable speed condition
Jian Wang, Yongjian Sun, Wei Wang
Engineering Research Express (2023) Vol. 5, Iss. 2, pp. 025051-025051
Open Access | Times Cited: 1

Identification of fault frequency variation in the envelope spectrum in the vibration-based local damage detection in possible changing load/speed conditions
Daniel Kuzio, Radosław Zimroz, Agnieszka Wyłomańska
Measurement (2023) Vol. 218, pp. 113148-113148
Open Access | Times Cited: 1

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