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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:

A Novel Indicator to Improve Fast Kurtogram for the Health Monitoring of Rolling Bearing
Kaixuan Liang, Ming Zhao, Jing Lin, et al.
IEEE Sensors Journal (2020) Vol. 20, Iss. 20, pp. 12252-12261
Closed Access | Times Cited: 46

Showing 26-50 of 46 citing articles:

A new approach to adaptive VMD based on SSA for rolling bearing fault feature extraction
Shuzhi Gao, Ning Zhao, Xuefeng Chen, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 036102-036102
Closed Access | Times Cited: 7
Fault feature extraction method based on maximum envelope spectrum PFGI2 and empirical wavelet transform
Yinchu Tian, Guiji Tang, Zichen Liu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086124-086124
Closed Access | Times Cited: 2
Dynamic CUSUM Chart With an Integrated Indicator for Bearing Condition Monitoring
Wei Fan, Xinyu Zheng, Chao Chen, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 14, pp. 15400-15412
Closed Access | Times Cited: 6
Hybridization of time synchronous averaging, singular value decomposition, and adaptive neuro fuzzy inference system for multi-fault bearing diagnosis
Walid Touzout, Djamel Benazzouz, Fawzi Gougam, et al.
Advances in Mechanical Engineering (2014) Vol. 12, Iss. 12
Open Access | Times Cited: 17
The Detection of Motor Bearing Fault with Maximal Overlap Discrete Wavelet Packet Transform and Teager Energy Adaptive Spectral Kurtosis
D.-M. Yang
Sensors (2021) Vol. 21, Iss. 20, pp. 6895-6895
Open Access | Times Cited: 13
Nonlinear fast kurtogram for the extraction of gear fault features with shock interference
Hao Ma, Jinrui Wang, Baokun Han, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 2, pp. 024001-024001
Closed Access | Times Cited: 8
Early Fault Detection of Rolling Bearings Based on Time-Varying Filtering Empirical Mode Decomposition and Adaptive Multipoint Optimal Minimum Entropy Deconvolution Adjusted
Shuo Song, Wenbo Wang
Entropy (2023) Vol. 25, Iss. 10, pp. 1452-1452
Open Access | Times Cited: 4
RFIS-HI: a new health indicator for quantitative condition monitoring of the bearing under variable speed conditions
Weipeng Ma, Yaoxiang Yu, Liang Guo, et al.
Structural Health Monitoring (2023) Vol. 23, Iss. 4, pp. 2407-2422
Closed Access | Times Cited: 4
Bearing Fault Diagnosis Using Reconstruction Adaptive Determinate Stationary Subspace Filtering and Enhanced Third-Order Spectrum
Zhiqiang Liao, Xuewei Song, Hongfeng Wang, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 11, pp. 10764-10773
Closed Access | Times Cited: 6
Dynamic Evaluation of Degradation Space Variation for Machine Condition Monitoring
Guangyao Zhang, Yi Wang, Xiaomeng Li, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-10
Closed Access | Times Cited: 5
Multiscale Sparsity Measure Fusion for Bearing Performance Degradation Assessment
Qian Wang, Qiang Huang, Xingxing Jiang, et al.
IEEE Sensors Journal (2022) Vol. 23, Iss. 1, pp. 577-587
Closed Access | Times Cited: 5
Research on Weak Signal Feature Extraction Method of Rolling Bearing Based on Refined Composite Multi-Scale Weighted Entropy
Di Xu, Junpeng Shao, Jianghua Ge, et al.
Machines (2022) Vol. 10, Iss. 12, pp. 1155-1155
Open Access | Times Cited: 4
The evolved kurtogram: a novel repetitive transients extraction method for bearing fault diagnosis
Bin Pang, Yuzhi Hu, Heng Zhang, et al.
Journal of Mechanical Science and Technology (2022) Vol. 36, Iss. 12, pp. 5895-5913
Closed Access | Times Cited: 4
Segmentation MED method based on kurtosis-frequency curve and its application in bearing diagnosis
Chang Yan, Ming Zhao, Jing Lin, et al.
Measurement Science and Technology (2021) Vol. 32, Iss. 11, pp. 115004-115004
Closed Access | Times Cited: 5
A Novel Method for Identifying Resonance Frequency Band in Weak Bearing Fault Diagnosis of Electric Driving System
Cong Yue, Yu Zhu, Ping Cheng, et al.
Shock and Vibration (2024) Vol. 2024, pp. 1-20
Open Access
ORgram: semi-supervised learning framework for inline bearing diagnosis in varying speed
Chi-Yu Hung, Chia‐Yen Lee, Ching-Hsiung Tsai, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 134, Iss. 5-6, pp. 2387-2401
Closed Access
Experimental Studies of Statistical Diagnostics Information and Measuring Systems
Vitalii Babak, S. Babak, Artur Zaporozhets
Studies in systems, decision and control (2024), pp. 279-344
Closed Access
Wear State Estimation of Rolling Element Bearings using Support Vector Machines
Eoghan T. Chelmiah, Violeta I. McLoone, Darren F. Kavanagh
2022 16th IEEE International Conference on Signal Processing (ICSP) (2020) Vol. 153, pp. 306-311
Closed Access | Times Cited: 3
Enhanced Generalized Nonlinear Sparse Spectrum Based on Dual-Tree Complex Wavelet Packet Transform for Bearing Fault Diagnosis
Zujie Yang, Zongzhen Zhang, Jinrui Wang, et al.
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 1
An Iterative Modified Adaptive Chirp Mode Decomposition Method and Its Application on Fault Diagnosis of Wind Turbine Bearings
Ao Ding, Guiji Tang, Xiaolong Wang, et al.
Machines (2022) Vol. 10, Iss. 8, pp. 704-704
Open Access | Times Cited: 1
A Novel Method of Adaptive Vmd Based on SSA for Fault Feature Extraction of Rolling Bearings
Shuzhi Gao, Xuefeng Chen, Yimin Zhang, et al.
SSRN Electronic Journal (2021)
Closed Access
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