Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 1-25 of 46 citing articles:

Imbalanced fault diagnosis of rolling bearing using improved MsR-GAN and feature enhancement-driven CapsNet
Jie Liu, Changhe Zhang, Xingxing Jiang
Mechanical Systems and Signal Processing (2021) Vol. 168, pp. 108664-108664
Closed Access | Times Cited: 126
Fault diagnosis in industrial rotating equipment based on permutation entropy, signal processing and multi-output neuro-fuzzy classifier
Saeed Rajabi, Mehdi Saman Azari, Stefania Santini, et al.
Expert Systems with Applications (2022) Vol. 206, pp. 117754-117754
Open Access | Times Cited: 85
IGIgram: An Improved Gini Index-Based Envelope Analysis for Rolling Bearing Fault Diagnosis
Bingyan Chen, Dongli Song, Yao Cheng, et al.
Journal of Dynamics Monitoring and Diagnostics (2022), pp. 111-124
Open Access | Times Cited: 40
Health indicator based on signal probability distribution measures for machinery condition monitoring
Guangyao Zhang, Yi Wang, Xiaomeng Li, et al.
Mechanical Systems and Signal Processing (2023) Vol. 198, pp. 110460-110460
Closed Access | Times Cited: 24
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
Role of image feature enhancement in intelligent fault diagnosis for mechanical equipment: A review
Yongjian Sun, Wei Wang
Engineering Failure Analysis (2023) Vol. 156, pp. 107815-107815
Closed Access | Times Cited: 16
An autoregressive model-based degradation trend prognosis considering health indicators with multiscale attention information
Jichao Zhuang, Yudong Cao, Yifei Ding, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107868-107868
Closed Access | Times Cited: 4
Multi-period impulse cyclic spectrum based on optimized RSSD for bearing compound fault diagnosis
Xiaofeng Liu, Qiushi Xu, Daiping Wei, et al.
Applied Acoustics (2025) Vol. 231, pp. 110525-110525
Closed Access
Statistical distribution measures based on amplitude normalization for wind turbine generator bearing condition monitoring under variable speed conditions
Guangyao Zhang, Yi Wang, Yi Qin, et al.
Mechanical Systems and Signal Processing (2025) Vol. 228, pp. 112464-112464
Closed Access
A Resonance-Identification-Guided Autogram for the Fault Diagnosis of Rolling Element Bearings
Mingxuan Liu, Yiping Shen, Yuandong Xu
Machines (2025) Vol. 13, Iss. 3, pp. 169-169
Open Access
An optimal candidate fault frequency periodicity index optimization-gram for bearing fault diagnosis
Xinyuan Zhao, Dongdong Liu, Lingli Cui
Structural Health Monitoring (2025)
Closed Access
A method combining dynamic path matching with multipath adaptive drift Lévy stable motion for performance degradation prediction
Shuai Lv, Shujie Liu, Hongkun Li, et al.
Structural Health Monitoring (2025)
Closed Access
Use of artificial intelligence techniques in characterization of vibration signals for application in agri-food engineering
Amalia Luque Sendra, Daniel Campos Olivares, Mirko Mazzoleni, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Open Access
Time-Varying Envelope Filtering for Exhibiting Space Bearing Cage Fault Features
Sha Wei, Dong Wang, Hong Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 70, pp. 1-13
Closed Access | Times Cited: 34
Fault Diagnosis of Wind Turbine Bearing Based on Optimized Adaptive Chirp Mode Decomposition
Xiaolong Wang, Guiji Tang, Xiaoli Yan, et al.
IEEE Sensors Journal (2021) Vol. 21, Iss. 12, pp. 13649-13666
Closed Access | Times Cited: 29
Enhanced symplectic geometry mode decomposition and its application to rotating machinery fault diagnosis under variable speed conditions
Guangyao Zhang, Yi Wang, Xiaomeng Li, et al.
Mechanical Systems and Signal Processing (2022) Vol. 170, pp. 108841-108841
Closed Access | Times Cited: 20
Fast nonlinear Hoyergram for bearings fault diagnosis under random impact interference
Zujie Yang, Zongzhen Zhang, Jinrui Wang, et al.
Measurement Science and Technology (2022) Vol. 33, Iss. 7, pp. 075112-075112
Closed Access | Times Cited: 19
A new method to select frequency band for vibration signal demodulation and condition estimation of rolling bearings
Yaoxiang Yu, Mengui Qian, Tao Chen, et al.
ISA Transactions (2022) Vol. 133, pp. 575-596
Closed Access | Times Cited: 18
A novel rolling bearing fault diagnosis method based on generalized nonlinear spectral sparsity
Baokun Han, Zujie Yang, Zongzhen Zhang, et al.
Measurement (2022) Vol. 198, pp. 111131-111131
Closed Access | Times Cited: 16
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.
Measurement Science and Technology (2023) Vol. 34, Iss. 5, pp. 055109-055109
Closed Access | Times Cited: 9
Minimum entropy morphological deconvolution and its application in bearing fault diagnosis
Rongkai Duan, Yuhe Liao, Lei Yang, et al.
Measurement (2021) Vol. 182, pp. 109649-109649
Closed Access | Times Cited: 20
A new health indicator for rolling bearings based on impulsiveness and periodicity of signals
Mengui Qian, Yaoxiang Yu, Liang Guo, et al.
Measurement Science and Technology (2022) Vol. 33, Iss. 10, pp. 105008-105008
Closed Access | Times Cited: 15
Impulsive feature extraction with improved singular spectrum decomposition and sparsity-closing morphological analysis
Rongkai Duan, Yuhe Liao
Mechanical Systems and Signal Processing (2022) Vol. 180, pp. 109436-109436
Closed Access | Times Cited: 15
Multi-objective sparsity maximum mode de-composition: a new method for rotating machine fault diagnosis on high-speed train axle box
Qiuyang Zhou, Cai Yi, Lei Yan, et al.
IEEE Transactions on Vehicular Technology (2023) Vol. 72, Iss. 10, pp. 12744-12756
Closed Access | Times Cited: 8
Bearing faults classification under various operation modes using time domain features, singular value decomposition, and fuzzy logic system
Fawzi Gougam, Chemseddine Rahmoune, Djamel Benazzouz, et al.
Advances in Mechanical Engineering (2014) Vol. 12, Iss. 10
Open Access | Times Cited: 26
Page 1 - Next Page

Scroll to top