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:

Modulation signal bispectrum with optimized wavelet packet denoising for rolling bearing fault diagnosis
Junchao Guo, Zhanqun Shi, Dong Zhen, et al.
Structural Health Monitoring (2021) Vol. 21, Iss. 3, pp. 984-1011
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Toward accurate extraction of bearing fault modulation characteristics with novel time–frequency modulation bispectrum and modulation Gini index analysis
Xue Zou, Huaming Zhang, Zuhua Jiang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 219, pp. 111629-111629
Closed Access | Times Cited: 16

A wavelet packet transform-based deep feature transfer learning method for bearing fault diagnosis under different working conditions
Xiao Yu, Zhongting Liang, Youjie Wang, et al.
Measurement (2022) Vol. 201, pp. 111597-111597
Open Access | Times Cited: 64

A Survey on Fault Diagnosis of Rolling Bearings
Bo Peng, Ying Bi, Bing Xue, et al.
Algorithms (2022) Vol. 15, Iss. 10, pp. 347-347
Open Access | Times Cited: 55

Multi-sensor data fusion for rotating machinery fault detection using improved cyclic spectral covariance matrix and motor current signal analysis
Junchao Guo, Qingbo He, Dong Zhen, et al.
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108969-108969
Open Access | Times Cited: 38

Development of entropy measure for selecting highly sensitive WPT band to identify defective components of an axial piston pump
Yuqing Zhou, Anil Kumar, Chander Parkash, et al.
Applied Acoustics (2023) Vol. 203, pp. 109225-109225
Closed Access | Times Cited: 33

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

An adaptive reweighted-Kurtogram for bearing fault diagnosis under strong external impulse noise
Jie Peng, Yumeng Zhao, Xin Zhang, et al.
Structural Health Monitoring (2024) Vol. 23, Iss. 6, pp. 3336-3351
Closed Access | Times Cited: 8

Robust time series denoising with learnable wavelet packet transform
Gaëtan Frusque, Olga Fink
Advanced Engineering Informatics (2024) Vol. 62, pp. 102669-102669
Open Access | Times Cited: 7

Intelligent Fault Detection for Rotating Machinery Using Cyclic Morphological Modulation Spectrum and Hierarchical Teager Permutation Entropy
Junchao Guo, Qingbo He, Dong Zhen, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 4, pp. 6196-6207
Open Access | Times Cited: 26

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

Reweighted-Kurtogram with sub-bands rearranged and ensemble dual-tree complex wavelet packet transform for bearing fault diagnosis
Xin Zhang, Zhongqiang Zhang, Jiaxu Wang, et al.
Structural Health Monitoring (2022) Vol. 21, Iss. 6, pp. 2951-2967
Closed Access | Times Cited: 18

Machine tool chattering monitoring by Chen-Lee chaotic system-based deep convolutional generative adversarial nets
Ping‐Huan Kuo, Po‐Chien Luan, Yung‐Ruen Tseng, et al.
Structural Health Monitoring (2023) Vol. 22, Iss. 6, pp. 3891-3907
Closed Access | Times Cited: 10

Maximum negative entropy deconvolution and its application to bearing condition monitoring
Zewen Zhou, Bingyan Chen, Baoshan Huang, et al.
Structural Health Monitoring (2023) Vol. 23, Iss. 3, pp. 1334-1357
Open Access | Times Cited: 10

Compound fault diagnosis of rolling bearings based on AVMD and IMOMEDA
Zhijie Lu, Xiaoan Yan, Zhiliang Wang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 066124-066124
Closed Access | Times Cited: 3

A local modulation signal bispectrum for multiple amplitude and frequency modulation demodulation in gearbox fault diagnosis
Junchao Guo, Qingbo He, Yang Yang, et al.
Structural Health Monitoring (2023) Vol. 22, Iss. 5, pp. 3189-3205
Closed Access | Times Cited: 8

An iterative morphological difference product wavelet for weak fault feature extraction in rolling bearing fault diagnosis
Junchao Guo, Qingbo He, Dong Zhen, et al.
Structural Health Monitoring (2022) Vol. 22, Iss. 1, pp. 296-318
Open Access | Times Cited: 10

Flexible iterative generalized demodulation filtering for the fault diagnosis of rotating machinery under nonstationary conditions
Dongdong Liu, Lingli Cui, Weidong Cheng
Structural Health Monitoring (2022) Vol. 22, Iss. 2, pp. 1421-1436
Closed Access | Times Cited: 9

The Development of a Novel Transient Signal Analysis: A Wavelet Transform Approach
Eduardo Gómez-Luna, Dixon E. Cuadros-Orta, John E. Candelo-Becerra, et al.
Computation (2024) Vol. 12, Iss. 9, pp. 178-178
Open Access | Times Cited: 1

An early fault warning and diagnosis model based on a two-step analysis strategy for wind turbine bearings
Wei Dong, Xiaojin Wu, Shuqing Zhang, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 1

Fast Spectral Correlation Detector for Periodic Impulse Extraction of Rotating Machinery
Junchao Guo, Dong Zhen, Fengshou Gu, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-13
Open Access | Times Cited: 4

Analyzing spectral peak distribution of coupled signals using Fourier transform theory
Wenbing Wu, Xiaojian Yuan
Indian Journal of Physics (2023) Vol. 97, Iss. 14, pp. 4509-4519
Closed Access | Times Cited: 2

Novel Fault Detection Method for Rolling Bearings Based on Improved Variational Modal Decomposition Method
Xiaoli Huang, Haifeng Xu, Junying Cui
IEEE Access (2024) Vol. 12, pp. 36546-36557
Open Access

A rolling bearing fault signal denoising algorithm that combines a new adaptive information entropy with a new wavelet threshold function
Min Li, Xuemei Li, Bin Liu, et al.
Engineering Research Express (2024) Vol. 6, Iss. 4, pp. 045536-045536
Closed Access

Weak fault feature extraction method of rolling bearing based on wavelet packet decomposition and optimized MCKD
Yao Jinbao, Bing Wang, B. Yue, et al.
Review of Scientific Instruments (2024) Vol. 95, Iss. 12
Closed Access

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