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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.

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Showing 19 citing articles:

A novel fault diagnosis method of rotating machinery via VMD, CWT and improved CNN
Jun Gu, Yuxing Peng, Hao Lu, et al.
Measurement (2022) Vol. 200, pp. 111635-111635
Closed Access | Times Cited: 85
Fault Diagnosis for Rolling Bearings Based on Composite Multiscale Fine-Sorted Dispersion Entropy and SVM With Hybrid Mutation SCA-HHO Algorithm Optimization
Wenlong Fu, Kaixuan Shao, Jiawen Tan, et al.
IEEE Access (2020) Vol. 8, pp. 13086-13104
Open Access | Times Cited: 93
Feature Extraction Using Hierarchical Dispersion Entropy for Rolling Bearing Fault Diagnosis
Qiang Xue, Boyu Xu, Changbo He, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-11
Closed Access | Times Cited: 41
Feature Engineering and Artificial Intelligence-Supported Approaches Used for Electric Powertrain Fault Diagnosis: A Review
Xiaotian Zhang, Yihua Hu, Jiamei Deng, et al.
IEEE Access (2022) Vol. 10, pp. 29069-29088
Open Access | Times Cited: 26
Fault Diagnosis for RPMs Based on Novel Weighted Multi-Scale Fractional Permutation Entropy Improved by Multi-Scale Algorithm and PSO
Yongkui Sun, Yuan Cao, Peng Li, et al.
IEEE Transactions on Vehicular Technology (2024) Vol. 73, Iss. 8, pp. 11072-11081
Closed Access | Times Cited: 4
Multi-Domain Entropy-Random Forest Method for the Fusion Diagnosis of Inter-Shaft Bearing Faults with Acoustic Emission Signals
Jing Tian, Lili Liu, Fengling Zhang, et al.
Entropy (2019) Vol. 22, Iss. 1, pp. 57-57
Open Access | Times Cited: 23
Intelligent fault diagnosis using an unsupervised sparse feature learning method
Chun Cheng, Weiping Wang, Haining Liu, et al.
Measurement Science and Technology (2020) Vol. 31, Iss. 9, pp. 095903-095903
Closed Access | Times Cited: 22
Machine Vibration Monitoring for Diagnostics through Hypothesis Testing
Alessandro Paolo Daga, Luigi Garibaldi
Information (2019) Vol. 10, Iss. 6, pp. 204-204
Open Access | Times Cited: 22
Related Entropy Theories Application in Condition Monitoring of Rotating Machineries
Liansheng Liu, Zhuo Zhi, Hanxing Zhang, et al.
Entropy (2019) Vol. 21, Iss. 11, pp. 1061-1061
Open Access | Times Cited: 21
Intelligent Fault Diagnosis Method for Gear Transmission Systems Based on Improved Multi-Scale Reverse Dispersion Entropy and Swarm Decomposition
Hongwei Wang, Wenlei Sun, Li He, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 71, pp. 1-13
Closed Access | Times Cited: 17
Fault Diagnosis for Rail Vehicle Axle-Box Bearings Based on Energy Feature Reconstruction and Composite Multiscale Permutation Entropy
Xiaochao Wang, Zhenggang Lu, Juyao Wei, et al.
Entropy (2019) Vol. 21, Iss. 9, pp. 865-865
Open Access | Times Cited: 17
A Novel Framework for Anomaly Detection for Satellite Momentum Wheel Based on Optimized SVM and Huffman-Multi-Scale Entropy
Yuqing Li, Mingjia Lei, Pengpeng Liu, et al.
Entropy (2021) Vol. 23, Iss. 8, pp. 1062-1062
Open Access | Times Cited: 12
Remaining Useful Life Prediction of Rolling Bearings Based on Multi-scale Permutation Entropy and SSA-LSTM
Hongju Wang, Xi Zhang, Mingming Ren, et al.
(2023)
Open Access | Times Cited: 3
A Multi-Sensor Data Fusion Method for Intelligent Aging Condition Identification of Viscoelastic Sandwich Structure
Jinxiu Qu, Changquan Shi
IEEE Access (2021) Vol. 9, pp. 63029-63042
Open Access | Times Cited: 7
Intelligent fault diagnosis method for common rail injectors based on hierarchical weighted permutation entropy and pair-wise feature proximity feature selection
Yun Ke, Chong Yao, Enzhe Song, et al.
Journal of Vibration and Control (2021) Vol. 28, Iss. 17-18, pp. 2386-2398
Closed Access | Times Cited: 7
Intelligent Fault Identification for Rolling Bearings Fusing Average Refined Composite Multiscale Dispersion Entropy-Assisted Feature Extraction and SVM with Multi-Strategy Enhanced Swarm Optimization
Huibin Shi, Wenlong Fu, Bailin Li, et al.
Entropy (2021) Vol. 23, Iss. 5, pp. 527-527
Open Access | Times Cited: 6
Remaining Useful Life Prediction of Rolling Bearings Based on Multi-scale Permutation Entropy and ISSA-LSTM
Hongju Wang, Xi Zhang, Mingming Ren, et al.
Entropy (2023) Vol. 25, Iss. 11, pp. 1477-1477
Open Access | Times Cited: 2
Gearbox fault diagnosis based on improved multi-scale fluctuation dispersion entropy and multi-cluster feature selection
Baoyue Li, Yonghua Yu, W.M. Wang, et al.
Transactions of the Institute of Measurement and Control (2024)
Closed Access
A Refined Multiscale Symbolic Diverse Entropy Technique for Detecting Weak Faults in Rotating Machinery
Shunming Li, Yuzhe Hou, Jiantao Lu, et al.
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7576-7576
Open Access
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