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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 Multi-scale Fuzzy Measure Entropy and Infinite Feature Selection Based Approach for Rolling Bearing Fault Diagnosis
Keheng Zhu, Liang Chen, Xiong Hu
Journal of Nondestructive Evaluation (2019) Vol. 38, Iss. 4
Closed Access | Times Cited: 22

Showing 22 citing articles:

Fault diagnosis of angle grinders and electric impact drills using acoustic signals
Adam Głowacz, Ryszard Tadeusiewicz, Stanisław Legutko, et al.
Applied Acoustics (2021) Vol. 179, pp. 108070-108070
Open Access | Times Cited: 158
Multiscale Diversity Entropy: A Novel Dynamical Measure for Fault Diagnosis of Rotating Machinery
Xianzhi Wang, Shubin Si, Yongbo Li
IEEE Transactions on Industrial Informatics (2020) Vol. 17, Iss. 8, pp. 5419-5429
Closed Access | Times Cited: 106
An Intelligent Approach for Bearing Fault Diagnosis: Combination of 1D-LBP and GRA
Melih Kuncan
IEEE Access (2020) Vol. 8, pp. 137517-137529
Open Access | Times Cited: 92
A new automatic bearing fault size diagnosis using time-frequency images of CWT and deep transfer learning methods
Yılmaz Kaya, FATMA KUNCAN, HÜSEYİN METİN ERTUNÇ
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES (2022) Vol. 30, Iss. 5, pp. 1851-1867
Open Access | Times Cited: 54
Permutation entropy-based 2D feature extraction for bearing fault diagnosis
Mantas Landauskas, Maosen Cao, Minvydas Ragulskis
Nonlinear Dynamics (2020) Vol. 102, Iss. 3, pp. 1717-1731
Closed Access | Times Cited: 51
A novel method to classify bearing faults by integrating standard deviation to refined composite multi-scale fuzzy entropy
Amrinder Singh Minhas, Gurpreet Singh, Jagpreet Singh, et al.
Measurement (2019) Vol. 154, pp. 107441-107441
Closed Access | Times Cited: 45
Multi-scale entropy based damage identification of thermal protection structures with thermal cycles
Chengqi Zhang, Hua Zhong, Yupeng Zhang, et al.
Measurement (2025), pp. 116703-116703
Closed Access
A novel rolling bearing fault diagnosis method based on continuous hierarchical fractional range entropy
Jie Zhou, Chuanhai Chen, Jinyan Guo, et al.
Measurement (2023) Vol. 220, pp. 113395-113395
Closed Access | Times Cited: 11
An Entropy-Based Approach for Anomaly Detection in Activities of Daily Living in the Presence of a Visitor
Aadel Howedi, Ahmad Lotfi, Amir Pourabdollah
Entropy (2020) Vol. 22, Iss. 8, pp. 845-845
Open Access | Times Cited: 30
Mechanical Fault Diagnosis of a High Voltage Circuit Breaker Based on High-Efficiency Time-Domain Feature Extraction with Entropy Features
Jiajin Qi, Xu Gao, Nantian Huang
Entropy (2020) Vol. 22, Iss. 4, pp. 478-478
Open Access | Times Cited: 29
Complementary Ensemble Adaptive Local Iterative Filtering and Its Application to Rolling Bearing Fault Diagnosis
Yi Zhang, Yong Lv, Mao Ge
IEEE Access (2021) Vol. 9, pp. 47275-47293
Open Access | Times Cited: 14
Gear Fault Feature Extraction Based on Fuzzy Function and Improved Hu Invariant Moments
Chun Lv, Peilin Zhang, Dinghai Wu
IEEE Access (2020) Vol. 8, pp. 47490-47499
Open Access | Times Cited: 12
Anfis-Based Defect Severity Prediction on a Multi-Stage Gearbox Operating Under Fluctuating Speeds
Vamsi Inturi, N Shreyas, G. R. Sabareesh
Neural Processing Letters (2021) Vol. 53, Iss. 5, pp. 3445-3466
Closed Access | Times Cited: 11
Fault Diagnosis of Bearing Based on Improved Refined Composite Hierarchical Fuzzy Entropy and Least Squares Support Vector Machine
Hongqi Wang, Liying Yuan
Journal of Vibration Engineering & Technologies (2022) Vol. 10, Iss. 8, pp. 3025-3036
Closed Access | Times Cited: 7
Rolling-Bearing Fault-Diagnosis Method Based on Multimeasurement Hybrid-Feature Evaluation
Jianghua Ge, Guibin Yin, Yaping Wang, et al.
Information (2019) Vol. 10, Iss. 11, pp. 359-359
Open Access | Times Cited: 7
A multi-scale fuzzy entropy measure for anomaly detection in activities of daily living
Aadel Howedi, Ahmad Lotfi, Amir Pourabdollah
(2020), pp. 1-8
Closed Access | Times Cited: 7
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
A New Bearing Fault Diagnosis Method Based on Refined Composite Multiscale Global Fuzzy Entropy and Self-Organizing Fuzzy Logic Classifier
Ziying Zhang, Xi Zhang
Shock and Vibration (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 5
Sound Based Fault Diagnosis for Mechanical Components Based on Iceemdan and Fractional Multiscale Weighted Dispersion Entropy
Qiangqiang He, Xiaojing Yin, Bangcheng Zhang, et al.
(2024)
Closed Access
Rolling bearing fault diagnosis under variable working conditions using deep convolutional fuzzy system
Keheng Zhu, Shunming Zhou, Liang Chen, et al.
Transactions of the Institute of Measurement and Control (2023) Vol. 46, Iss. 5, pp. 845-857
Closed Access | Times Cited: 1
Omics feature learning for cross individual ALS disease identification with EMG signal
Chenxu Hao, Yali Qu, Xujian Wang, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2021), pp. 2700-2705
Closed Access | Times Cited: 2
Sound Based Fault Diagnosis for Mechanical Components Based on Iceemdan and Fractional Multiscale Weighted Dispersion Entropy
Xiaojing Yin, Qiangqiang He, Hao Zhang, et al.
(2023)
Closed Access
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