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:

Fault diagnosis method for rolling bearing based on VMD and improved SVM optimized by METLBO
Chao Tan, Long Yang, Hao Chen, et al.
Journal of Mechanical Science and Technology (2022) Vol. 36, Iss. 10, pp. 4979-4991
Closed Access | Times Cited: 12

Showing 12 citing articles:

An intelligent bearing fault diagnosis framework: one-dimensional improved self-attention-enhanced CNN and empirical wavelet transform
Zhilin Dong, Dezun Zhao, Lingli Cui
Nonlinear Dynamics (2024) Vol. 112, Iss. 8, pp. 6439-6459
Open Access | Times Cited: 35
Optimization of Variational Mode Decomposition-Convolutional Neural Network-Bidirectional Long Short Term Memory Rolling Bearing Fault Diagnosis Model Based on Improved Dung Beetle Optimizer Algorithm
Weiqing Sun, Yue Wang, Xingyi You, et al.
Lubricants (2024) Vol. 12, Iss. 7, pp. 239-239
Open Access | Times Cited: 4
Research on defect identification method of oil and gas pipeline based on ultrasonic echo signal
Minghui Wei, Zhanming Zhang
Nondestructive Testing And Evaluation (2025), pp. 1-27
Closed Access
A Fault Diagnosis Algorithm for the Dedicated Equipment Based on the CNN-LSTM Mechanism
Zhannan Guo, Yinlin Hao, Hanwen Shi, et al.
Energies (2023) Vol. 16, Iss. 13, pp. 5230-5230
Open Access | Times Cited: 8
Application of C-InGAN Model in Interpretable Feature of Bearing Fault Diagnosis
Wanyi Yang, Tao Liang, Jianxin Tan, et al.
Entropy (2024) Vol. 26, Iss. 6, pp. 480-480
Open Access | Times Cited: 1
Rolling Bearing Fault Diagnosis Based on SABO–VMD and WMH–KNN
Guangxing Liu, Yihao Ma, Na Wang
Sensors (2024) Vol. 24, Iss. 15, pp. 5003-5003
Open Access | Times Cited: 1
Rolling bearing fault diagnosis in strong noise background based on vibration signals
Dongjie Li, Mingyue Li, Yang Liu, et al.
Signal Image and Video Processing (2023) Vol. 18, Iss. 2, pp. 1295-1303
Closed Access | Times Cited: 4
Fault Feature Extraction Method for Rolling Bearings Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Variational Mode Decomposition
Lijing Wang, Hongjiang Li, Xi Tao, et al.
Sensors (2023) Vol. 23, Iss. 23, pp. 9441-9441
Open Access | Times Cited: 3
Optimization of VMD-CNN-BiLSTM Rolling Bearing Fault Diagnosis Model Based on Improved DBO Algorithm
Weiqing Sun, Yue Wang, Xingyi You, et al.
Research Square (Research Square) (2024)
Open Access
The intelligent operation and maintenance method and experimental research of CNC machine tool bearings
Shuo Wang, Zhenliang Yu, Fengwei Huo, et al.
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering (2024)
Closed Access
Research on fault diagnosis method of reciprocating compressor valve based on IVMD-CMS model
Fengfeng Bie, Suzhen Chen, Fengxia Lyu, et al.
Journal of Mechanical Science and Technology (2023) Vol. 37, Iss. 8, pp. 3931-3943
Closed Access | Times Cited: 1
An Intelligent Bearing Fault Diagnosis Framework: One Dimensional Improved Self Attention-enhanced CNN and Empirical Wavelet Transform
Zhilin Dong, Dezun Zhao, Lingli Cui
Research Square (Research Square) (2023)
Open Access
Page 1

Scroll to top