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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:

Deep network-based maximum correlated kurtosis deconvolution: A novel deep deconvolution for bearing fault diagnosis
Yonghao Miao, Chenhui Li, Huifang Shi, et al.
Mechanical Systems and Signal Processing (2023) Vol. 189, pp. 110110-110110
Open Access | Times Cited: 48

Showing 26-50 of 48 citing articles:

Maximum L-Kurtosis deconvolution and frequency-domain filtering algorithm for bearing fault diagnosis
Haitao Xu, Shengxi Zhou
Mechanical Systems and Signal Processing (2024) Vol. 223, pp. 111916-111916
Closed Access | Times Cited: 2
Multi-Node Feature Learning Network Based on Maximum Spectral Harmonics-to-Noise Ratio Deconvolution for Machine Condition Monitoring
Qiuyang Zhou, Cai Yi, Lei Yan, et al.
IEEE Transactions on Automation Science and Engineering (2023) Vol. 21, Iss. 3, pp. 3639-3651
Closed Access | Times Cited: 5
Bearing Diagnosis Using an Anti-Noise Neural Network Based on Selectable Branch Multiscale Modules and Attention Mechanisms
Ankang Li, Dechen Yao, Jianwei Yang, et al.
IEEE Sensors Journal (2023) Vol. 24, Iss. 5, pp. 5830-5840
Closed Access | Times Cited: 5
A New Bearing Fault Diagnosis Method Based on Deep Transfer Network and Supervised Joint Matching
Chengyao Liu, Fei Dong, Kunpeng Ge, et al.
IEEE photonics journal (2024) Vol. 16, Iss. 3, pp. 1-17
Open Access | Times Cited: 1
A novel bearing health sensing technique using smartphone
Shudong Ou, Ming Zhao, Xiang Cheng, et al.
Measurement (2024) Vol. 235, pp. 114972-114972
Closed Access | Times Cited: 1
Maximum Gpq–mean deconvolution for the impulsive fault feature enhancement of rolling bearing
Huaiqian Bao, Chenxu Wang, Zongzhen Zhang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096114-096114
Closed Access | Times Cited: 1
Resilient fast nonlinear blind deconvolution with uniform initialization for the bearing fault diagnosis
Hao Ma, Baokun Han, Jinrui Wang, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 1
A Novel Fault Diagnosis Method for Bearing Based on Maximum Average Kurtosis Morphological Deconvolution
Yixiang Lu, Zhiyi Yao, Qingwei Gao, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116137-116137
Closed Access | Times Cited: 1
Fault Diagnosis and Health Management of Power Machinery
Te Han, Ruonan Liu, Zhibin Zhao, et al.
Machines (2023) Vol. 11, Iss. 4, pp. 424-424
Open Access | Times Cited: 4
An adaptive Morlet wavelet-based iterative filtering method for locating informative frequency band
Huifang Shi, Yonghao Miao, Yu Xia, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086111-086111
Closed Access | Times Cited: 1
Multi-objective optimal deep deconvolution and its application to early fault signal enhancement of rotating machineries
Jiakai Ding, Yi Wang, Yi Qin, et al.
Mechanical Systems and Signal Processing (2024) Vol. 221, pp. 111722-111722
Closed Access | Times Cited: 1
Period Enhanced Feature Mode Decomposition and Its Application for Bearing Weak Fault Feature Extraction
Jinyan Zuo, Jing Lin, Yonghao Miao
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116127-116127
Closed Access | Times Cited: 1
Liquid circular angular accelerometer-based incipient bearing fault diagnosis
Simai Wang, Meiling Wang, Zifeng Gong, et al.
Measurement (2024) Vol. 241, pp. 115584-115584
Closed Access | Times Cited: 1
Cyclostationary Feature Mode Decomposition and Its Application in Fault Diagnosis of Planetary Gearboxes via Built-In Information
Jinyan Zuo, Yonghao Miao, Boyao Zhang, et al.
IEEE Sensors Journal (2023) Vol. 24, Iss. 2, pp. 1129-1139
Open Access | Times Cited: 2
AdaClass filter and its application in bearing fault diagnosis
Hanyu Zhang, Yuntao Li, Xin Zhang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 045033-045033
Open Access
Network-based System of Mechanical Vibration Fault Diagnosis
Q. J. Zhang, Xiaoxia Jin
Scalable Computing Practice and Experience (2024) Vol. 25, Iss. 3, pp. 1311-1320
Open Access
An Adaptive Multi-D-Norm-Driven Sparse Unfolding Deconvolutional Network for Bearing Fault Diagnosis
Jianbo Lin, Han Zhang, Yunfei Li, et al.
Sensors (2024) Vol. 24, Iss. 8, pp. 2624-2624
Open Access
Leakage detection of an acoustic emission pipeline based on an improved transformer network
Xianming Lang, Chunyu Wang
Engineering Research Express (2024) Vol. 6, Iss. 2, pp. 025216-025216
Open Access
SSGC-GAT: Synergistic Similarity Graph Construction Strategy Combined with GAT Network for Wind Turbine Anomaly Identification Using SCADA Data
Xiaomin Wang, Xiao Zhuang, Jian Ge, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access
Resilient fast convolutional sparse filtering with convergence directivity for the bearing fault diagnosis
Hao Ma, Baokun Han, Jinrui Wang, et al.
Structural Health Monitoring (2024)
Closed Access
A fault diagnosis method for rolling bearings of wind turbine generators based on MCGAN data enhancement
Zhiyuan Jia, Baojun Yu
SN Applied Sciences (2023) Vol. 5, Iss. 10
Open Access | Times Cited: 1
An enhanced spline-based time-varying filtering method and fast MKurtgram for bearing fault identification under random impulsive environment
Yuanbo Xu, Yu Wei, Youming Wang, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2023) Vol. 238, Iss. 11, pp. 5418-5433
Closed Access | Times Cited: 1
Multi D-norm Driven Algorithm Unfolding Network: A Rolling Bearing Fault Feature Extraction Method
Han Zhang, Jianbo Lin, Zhaohui Du, et al.
(2023), pp. 1273-1278
Closed Access | Times Cited: 1
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