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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:

Optimization of segmentation fragments in empirical wavelet transform and its applications to extracting industrial bearing fault features
Dong Wang, Kwok‐Leung Tsui, Yong Qin
Measurement (2018) Vol. 133, pp. 328-340
Closed Access | Times Cited: 62

Showing 1-25 of 62 citing articles:

A new fault diagnosis method based on adaptive spectrum mode extraction
Zhijian Wang, Ningning Yang, Naipeng Li, et al.
Structural Health Monitoring (2021) Vol. 20, Iss. 6, pp. 3354-3370
Closed Access | Times Cited: 103
Optimization of VMD using kernel-based mutual information for the extraction of weak features to detect bearing defects
Anil Kumar, Yuqing Zhou, Jiawei Xiang
Measurement (2020) Vol. 168, pp. 108402-108402
Closed Access | Times Cited: 109
An improved seasonal GM(1,1) model based on the HP filter for forecasting wind power generation in China
Wuyong Qian, Jue Wang
Energy (2020) Vol. 209, pp. 118499-118499
Closed Access | Times Cited: 105
Light neural network with fewer parameters based on CNN for fault diagnosis of rotating machinery
Tongtong Jin, Chuliang Yan, Chuanhai Chen, et al.
Measurement (2021) Vol. 181, pp. 109639-109639
Closed Access | Times Cited: 94
Symplectic geometry packet decomposition and its applications to gear fault diagnosis
Jian Cheng, Yu Yang, Xin Li, et al.
Mechanical Systems and Signal Processing (2022) Vol. 174, pp. 109096-109096
Closed Access | Times Cited: 43
Data Super-Network Fault Prediction Model and Maintenance Strategy for Mechanical Product Based on Digital Twin
Zhifeng Liu, Wei Chen, Caixia Zhang, et al.
IEEE Access (2019) Vol. 7, pp. 177284-177296
Open Access | Times Cited: 58
Fault Diagnosis Method and Application Based on Multi-scale Neural Network and Data Enhancement for Strong Noise
Zhehui Shao, Wenqiang Li, Hai Xiang, et al.
Journal of Vibration Engineering & Technologies (2023) Vol. 12, Iss. 1, pp. 295-308
Closed Access | Times Cited: 19
Transient extraction based on minimax concave regularized sparse representation for gear fault diagnosis
Weiguo Huang, Shijun Li, Xiangyu Fu, et al.
Measurement (2019) Vol. 151, pp. 107273-107273
Closed Access | Times Cited: 52
Fault detection and diagnosis of a wheelset-bearing system using a multi-Q-factor and multi-level tunable Q-factor wavelet transform
Jianming Ding, Jingyao Zhou, Yanli Yin
Measurement (2019) Vol. 143, pp. 112-124
Closed Access | Times Cited: 44
Basic tools for vibration analysis with applications to predictive maintenance of rotating machines: an overview
Theodor D. Popescu, Dorel Aiordǎchioaie, Anisia Florescu
The International Journal of Advanced Manufacturing Technology (2021) Vol. 118, Iss. 9-10, pp. 2883-2899
Closed Access | Times Cited: 33
A comprehensive evaluation of the effect of defect size in rolling element bearings on the statistical features of the vibration signal
Abbas Rohani Bastami, Sima Vahid
Mechanical Systems and Signal Processing (2020) Vol. 151, pp. 107334-107334
Closed Access | Times Cited: 37
Improved Empirical Wavelet Transform for Compound Weak Bearing Fault Diagnosis with Acoustic Signals
Chaoren Qin, Dongdong Wang, Zhi Xu, et al.
Applied Sciences (2020) Vol. 10, Iss. 2, pp. 682-682
Open Access | Times Cited: 34
A promising new tool for fault diagnosis of railway wheelset bearings: SSO-based Kurtogram
Cai Yi, Yiqun Li, Xiaoming Huo, et al.
ISA Transactions (2021) Vol. 128, pp. 498-512
Closed Access | Times Cited: 27
Ternary Precursor Centrifuge Rolling Bearing Fault Diagnosis Based on Adaptive Sample Length Adjustment of 1DCNN-SeNet
Feng Xu, Zhen Sui, Jiangang Ye, et al.
Processes (2024) Vol. 12, Iss. 4, pp. 702-702
Open Access | Times Cited: 4
An Improved Fault Diagnosis Method for Rolling Bearings Based on 1D_CNN Considering Noise and Working Condition Interference
Kai Huang, Linbo Zhu, Zhijun Ren, et al.
Machines (2024) Vol. 12, Iss. 6, pp. 383-383
Open Access | Times Cited: 4
Bandwidth-aware adaptive chirp mode decomposition for railway bearing fault diagnosis
Shiqian Chen, Lei Guo, Junjie Fan, et al.
Structural Health Monitoring (2023) Vol. 23, Iss. 2, pp. 876-902
Closed Access | Times Cited: 9
Frequency Phase Space Empirical Wavelet Transform for Rolling Bearings Fault Diagnosis
Xin Huang, Guangrui Wen, Lin Liang, et al.
IEEE Access (2019) Vol. 7, pp. 86306-86318
Open Access | Times Cited: 28
Iterative matching synchrosqueezing transform and application to rotating machinery fault diagnosis under nonstationary conditions
Zehui Hua, Juanjuan Shi, Yang Luo, et al.
Measurement (2020) Vol. 173, pp. 108592-108592
Closed Access | Times Cited: 27
Enhancement of adaptive mode decomposition via angular resampling for nonstationary signal analysis of rotating machinery: Principle and applications
Dong Zhang, Zhipeng Feng
Mechanical Systems and Signal Processing (2021) Vol. 160, pp. 107909-107909
Closed Access | Times Cited: 23
Combining kernel principal component analysis and spatial group-wise enhance convolutional neural network for fault recognition of rolling element bearings
Hui‐Lin Pan, Jiao Wei-dong, Tianyu Yan, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125003-125003
Closed Access | Times Cited: 7
Sensitive Sub-band Selection Criteria for Empirical Wavelet Transform to Detect Bearing Fault Based on Vibration Signals
Vikas Sharma, Naresh K. Raghuwanshi, Amit Kumar Jain
Journal of Vibration Engineering & Technologies (2021) Vol. 9, Iss. 7, pp. 1603-1617
Closed Access | Times Cited: 16
Forecasting the hydropower unit vibration based on adaptive variational mode decomposition and neural network
Zhaoheng Lu, Ran Tao, Ruofu Xiao, et al.
Applied Soft Computing (2023) Vol. 150, pp. 111040-111040
Closed Access | Times Cited: 6
Matching and reassignment based time-frequency enhancement for rotating machinery fault diagnosis under nonstationary speed operations
Zehui Hua, Juanjuan Shi, Xingxing Jiang, et al.
Measurement Science and Technology (2021) Vol. 32, Iss. 8, pp. 084002-084002
Closed Access | Times Cited: 15
Fractal geometry of wavelet decomposition in mechanical signature analysis
Jingshan Huang, Binqiang Chen, Terytty Yang Li, et al.
Measurement (2020) Vol. 173, pp. 108571-108571
Closed Access | Times Cited: 15
LGMA-DRSN: a lightweight convex global multi-attention deep residual shrinkage network for fault diagnosis
Zhijin Zhang, Chunlei Zhang, Lei Chen, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 11, pp. 115011-115011
Closed Access | Times Cited: 5
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