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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 Feature Selection Framework-Based Multiscale Morphological Analysis Algorithm for Fault Diagnosis of Rolling Element Bearing
Xiaoan Yan, Ying Liu, Minping Jia
IEEE Access (2019) Vol. 7, pp. 123436-123452
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

An adversarial denoising convolutional neural network for fault diagnosis of rotating machinery under noisy environment and limited sample size case
Lei Zou, Yang Li, Feiyun Xu
Neurocomputing (2020) Vol. 407, pp. 105-120
Closed Access | Times Cited: 81
ANN Assisted Multi Sensor Information Fusion for BLDC Motor Fault Diagnosis
Tanvir Alam Shifat, Jang-Wook Hur
IEEE Access (2021) Vol. 9, pp. 9429-9441
Open Access | Times Cited: 74
Water Quality Prediction Based on Machine Learning and Comprehensive Weighting Methods
Xianhe Wang, Ying Li, Qian Qiao, et al.
Entropy (2023) Vol. 25, Iss. 8, pp. 1186-1186
Open Access | Times Cited: 33
Fault diagnosis of rolling bearing using CNN and PCA fractal based feature extraction
Kaicheng Zhao, Junqing Xiao, Chun Li, et al.
Measurement (2023) Vol. 223, pp. 113754-113754
Open Access | Times Cited: 22
Systematic Review on Fault Diagnosis on Rolling-Element Bearing
M. Pandiyan, T. Narendiranath Babu
Journal of Vibration Engineering & Technologies (2024)
Closed Access | Times Cited: 9
Detection and classification of DC and feeder faults in DC microgrid using new morphological operators with multi class AdaBoost algorithm
P.K. Dash, Smruti Rekha Pattnaik, Eluri N.V.D.V. Prasad, et al.
Applied Energy (2023) Vol. 340, pp. 121013-121013
Closed Access | Times Cited: 17
Research on a Novel Improved Adaptive Variational Mode Decomposition Method in Rotor Fault Diagnosis
Xiaoan Yan, Ying Liu, Wan Zhang, et al.
Applied Sciences (2020) Vol. 10, Iss. 5, pp. 1696-1696
Open Access | Times Cited: 44
Kalman Filter Assisted Deep Feature Learning for RUL Prediction of Hydraulic Gear Pump
Myeong-Seok Lee, Tanvir Alam Shifat, Jang-Wook Hur
IEEE Sensors Journal (2022) Vol. 22, Iss. 11, pp. 11088-11097
Closed Access | Times Cited: 27
Feature selection algorithm based on density and distance for fault diagnosis applied to a roll-to-roll manufacturing system
Hyogeun Oh, Yoonjae Lee, Jongsu Lee, et al.
Journal of Computational Design and Engineering (2022) Vol. 9, Iss. 2, pp. 805-825
Open Access | Times Cited: 20
Fault Diagnosis of Rolling-Element Bearing Using Multiscale Pattern Gradient Spectrum Entropy Coupled with Laplacian Score
Xiaoan Yan, Ying Liu, Peng Ding, et al.
Complexity (2020) Vol. 2020, pp. 1-29
Open Access | Times Cited: 21
Application of Generalized Composite Multiscale Lempel–Ziv Complexity in Identifying Wind Turbine Gearbox Faults
Xiaoan Yan, Daoming She, Yadong Xu, et al.
Entropy (2021) Vol. 23, Iss. 11, pp. 1372-1372
Open Access | Times Cited: 19
Combined classification models for bearing fault diagnosis with improved ICA and MFCC feature set
Azim Naz M., R Sarath
Advances in Engineering Software (2022) Vol. 173, pp. 103249-103249
Closed Access | Times Cited: 11
A bearing fault feature extraction method based on optimized singular spectrum decomposition and linear predictor
Xiaoan Yan, Zhang Wan, Minping Jia
Measurement Science and Technology (2021) Vol. 32, Iss. 11, pp. 115023-115023
Closed Access | Times Cited: 15
Novel Feature Selection Method for Nonlinear Support Vector Regression
Kejia Xu, Ying Xu, Yafen Ye, et al.
Complexity (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 10
An improved hybrid multiscale fusion algorithm based on NSST for infrared–visible images
Peng Hu, Chenjun Wang, Dequan Li, et al.
The Visual Computer (2023) Vol. 40, Iss. 2, pp. 1245-1259
Closed Access | Times Cited: 5
Remaining Useful Life Assessment of Slewing Bearing Based on Spatial-Temporal Sequence
Weigang Bao, Xiaodong Miao, Hua Wang, et al.
IEEE Access (2020) Vol. 8, pp. 9739-9750
Open Access | Times Cited: 9
A New Fault Feature Extraction Method for Rotating Machinery Based on Multiple Sensors
Feng Miao, Rongzhen Zhao, Xianli Wang, et al.
Sensors (2020) Vol. 20, Iss. 6, pp. 1713-1713
Open Access | Times Cited: 9
Co-Design of Event-Triggered Scheme and H∞ Output Control for Markov Jump Systems Against Deception Attacks
Shen Yan, Zhou Gu, Sing Kiong Nguang, et al.
IEEE Access (2020) Vol. 8, pp. 106554-106563
Open Access | Times Cited: 9
A Chaotic Feature Extraction Based on SMMF and CMMFD for Early Fault Diagnosis of Rolling Bearing
Xiaoli Yan, Guiji Tang, Xiaolong Wang
IEEE Access (2020) Vol. 8, pp. 179497-179515
Open Access | Times Cited: 9
Application of a New Enhanced Deconvolution Method in Gearbox Fault Diagnosis
Junyuan Wang, Wang Jingtai, Wenhua Du, et al.
Applied Sciences (2019) Vol. 9, Iss. 24, pp. 5313-5313
Open Access | Times Cited: 9
Application Research of a Novel Enhanced SSD Method in Composite Fault Diagnosis of Wind Power Gearbox
Zhijian Wang, Huihui He, Junyuan Wang, et al.
IEEE Access (2019) Vol. 7, pp. 154986-155001
Open Access | Times Cited: 6
A Novel Feature Extraction Method for the Condition Monitoring of Bearings
Abdenour Soualhi, Bilal El Yousfi, Hubert Razik, et al.
Energies (2021) Vol. 14, Iss. 8, pp. 2322-2322
Open Access | Times Cited: 4
Spot Image Segmentation of Lifting Container Vibration Based on Improved Threshold Method and Mathematical Morphology
Tianbing Ma, Qiang Wu, Fei Du, et al.
Shock and Vibration (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 4
Fault Diagnosis for Road Heading Bearings Based on a Multiscale Enhanced Cascaded Difference Filter
Xiaofei Qu, Yongkang Zhang, Yin Li
Journal of Computational and Nonlinear Dynamics (2024) Vol. 19, Iss. 3
Closed Access
Design of an Iterative Model for Fault Severity Classification Using CNN-LSTM and Attention Mechanisms
Shashi Rathore, Parul Sahare, Mayur Parate, et al.
(2024), pp. 1-29
Closed Access
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