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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:

Fault Diagnosis for Rolling Bearings Based on Fine-Sorted Dispersion Entropy and SVM Optimized with Mutation SCA-PSO
Wenlong Fu, Jiawen Tan, Yanhe Xu, et al.
Entropy (2019) Vol. 21, Iss. 4, pp. 404-404
Open Access | Times Cited: 23

Showing 23 citing articles:

Coordinated approach fusing time-shift multiscale dispersion entropy and vibrational Harris hawks optimization-based SVM for fault diagnosis of rolling bearing
Kaixuan Shao, Wenlong Fu, Jiawen Tan, et al.
Measurement (2020) Vol. 173, pp. 108580-108580
Closed Access | Times Cited: 122
Detection of Deterioration of Three-phase Induction Motor using Vibration Signals
Adam Głowacz, W. Głowacz, Jarosław Kozik, et al.
Measurement Science Review (2019) Vol. 19, Iss. 6, pp. 241-249
Closed Access | Times Cited: 115
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
EntropyHub: An open-source toolkit for entropic time series analysis
Matthew W. Flood, Bernd Grimm
PLoS ONE (2021) Vol. 16, Iss. 11, pp. e0259448-e0259448
Open Access | Times Cited: 61
A kMap optimized VMD-SVM model for milling chatter detection with an industrial robot
Yu Wang, Mingkai Zhang, Xiaowei Tang, et al.
Journal of Intelligent Manufacturing (2021) Vol. 33, Iss. 5, pp. 1483-1502
Closed Access | Times Cited: 47
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
Bearing Fault Diagnosis Using Lightweight and Robust One-Dimensional Convolution Neural Network in the Frequency Domain
Mohammed Hakim, Abdoulhdi A. Borhana Omran, Jawaid I. Inayat-Hussain, et al.
Sensors (2022) Vol. 22, Iss. 15, pp. 5793-5793
Open Access | Times Cited: 26
Signal-to-Image: Rolling Bearing Fault Diagnosis Using ResNet Family Deep-Learning Models
Guoguo Wu, Xuerong Ji, Guolai Yang, et al.
Processes (2023) Vol. 11, Iss. 5, pp. 1527-1527
Open Access | Times Cited: 15
A novel approach for bearing fault diagnosis in complex environments using PSO-CWT and SA-FPN
Linfeng Deng, Cheng Zhao, Xinhui Yan, et al.
Measurement (2025), pp. 117027-117027
Closed Access
An adaptive boundary determination method for empirical wavelet transform and its application in wheelset-bearing fault detection in high-speed trains
Qingsong Zhang, Jianming Ding, Wentao Zhao
Measurement (2020) Vol. 171, pp. 108746-108746
Closed Access | Times Cited: 35
Rope Tension Fault Diagnosis in Hoisting Systems Based on Vibration Signals Using EEMD, Improved Permutation Entropy, and PSO-SVM
Shaohua Xue, Jianping Tan, Lixiang Shi, et al.
Entropy (2020) Vol. 22, Iss. 2, pp. 209-209
Open Access | Times Cited: 32
Bearing fault identification based on stacking modified composite multiscale dispersion entropy and optimised support vector machine
Hongchuang Tan, Suchao Xie, Runda Liu, et al.
Measurement (2021) Vol. 186, pp. 110180-110180
Closed Access | Times Cited: 24
Fault Diagnosis for Rolling Bearing Based on Semi-Supervised Clustering and Support Vector Data Description with Adaptive Parameter Optimization and Improved Decision Strategy
Jiawen Tan, Wenlong Fu, Kai Wang, et al.
Applied Sciences (2019) Vol. 9, Iss. 8, pp. 1676-1676
Open Access | Times Cited: 27
Optimizing machine learning algorithms for spatial prediction of gully erosion susceptibility with four training scenarios
Guoqing Liu, Alireza Arabameri, M. Santosh, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 16, pp. 46979-46996
Open Access | Times Cited: 8
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
RETRACTED: Evaluating the impact of climate change and geo‐environmental factors on flood hazards in India: An integrated framework
Indrajit Chowdhuri, Subodh Chandra Pal, Paramita Roy, et al.
Geological Journal (2023) Vol. 58, Iss. 9, pp. 3515-3543
Closed Access | Times Cited: 6
Intelligent feature selection model based on particle swarm optimization to detect phishing websites
Theyab R. Alsenani, Safial Islam Ayon, Sayeda Mayesha Yousuf, et al.
Multimedia Tools and Applications (2023) Vol. 82, Iss. 29, pp. 44943-44975
Closed Access | Times Cited: 5
Improved multiscale weighted-dispersion entropy and its application in fault diagnosis of train bearing
Yongjian Li, Hao Song, Bingrong Miao, et al.
Measurement Science and Technology (2021) Vol. 32, Iss. 7, pp. 075002-075002
Closed Access | Times Cited: 9
Spectral-coherence guided variational mode extraction and its application in rolling bearing fault diagnosis
Zhenduo Sun, Heng Zhang, Bin Pang, et al.
Measurement Science and Technology (2022) Vol. 33, Iss. 11, pp. 115102-115102
Closed Access | Times Cited: 6
Feature extraction method of ship-radiated noise based on dispersion entropy: A review
Guanni Ji
Frontiers in Physics (2023) Vol. 11
Open Access | Times Cited: 3
Currents Analysis of a Brushless Motor with Inverter Faults—Part I: Parameters of Entropy Functions and Open-Circuit Faults Detection
Cristina Morel, Sébastien Rivero, Baptiste Le Gueux, et al.
Actuators (2023) Vol. 12, Iss. 6, pp. 228-228
Open Access | Times Cited: 3
Optimizing machine learning algorithms for spatial prediction of gully erosion susceptibility with four training scenarios
Guoqing liu, Alireza Arabameri, M. Santosh, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 2
A Hybrid SVM-WOA Approach for Intelligent Fault Diagnosis Applications
Utku Köse
2022 Innovations in Intelligent Systems and Applications Conference (ASYU) (2019) Vol. 9, pp. 1-6
Closed Access | Times Cited: 2
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