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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:

Bearing Fault Event-Triggered Diagnosis Using a Variational Mode Decomposition-Based Machine Learning Approach
Houssem Habbouche, Yassine Amirat, Tarak Benkedjouh, et al.
IEEE Transactions on Energy Conversion (2021) Vol. 37, Iss. 1, pp. 466-474
Open Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

Digital twin-based gearbox fault diagnosis using variational mode decomposition and dynamic vibration modeling
Houssem Habbouche, Yassine Amirat, Tarak Benkedjouh, et al.
Measurement (2025) Vol. 246, pp. 116669-116669
Closed Access | Times Cited: 1
Intelligent fault diagnosis of rolling bearing using variational mode extraction and improved one-dimensional convolutional neural network
Maoyou Ye, Xiaoan Yan, Ning Chen, et al.
Applied Acoustics (2022) Vol. 202, pp. 109143-109143
Closed Access | Times Cited: 60
Bearing fault diagnosis via a parameter-optimized feature mode decomposition
Xiaoan Yan, Minping Jia
Measurement (2022) Vol. 203, pp. 112016-112016
Closed Access | Times Cited: 43
Restricted Sparse Networks for Rolling Bearing Fault Diagnosis
Huaxiang Pu, Ke Zhang, Yiyao An
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 11, pp. 11139-11149
Closed Access | Times Cited: 28
FFT-Trans: Enhancing Robustness in Mechanical Fault Diagnosis With Fourier Transform-Based Transformer Under Noisy Conditions
Xiaoyu Luo, Huan Wang, Te Han, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access | Times Cited: 12
A milling tool wear predicting method with processing generalization capability
Mingjian Sun, Yunlong Han, Kai Guo, et al.
Journal of Manufacturing Processes (2024) Vol. 120, pp. 975-1001
Closed Access | Times Cited: 11
Machine learning and deep learning for safety applications: Investigating the intellectual structure and the temporal evolution
Leonardo Leoni, Ahmad BahooToroody, Mohammad Mahdi Abaei, et al.
Safety Science (2023) Vol. 170, pp. 106363-106363
Open Access | Times Cited: 19
Role of image feature enhancement in intelligent fault diagnosis for mechanical equipment: A review
Yongjian Sun, Wei Wang
Engineering Failure Analysis (2023) Vol. 156, pp. 107815-107815
Closed Access | Times Cited: 16
Bearing Fault Diagnosis Using Multichannel Broad Learning System Based on Positive–Negative Weighted Voting Mechanism
Tiantian Lu, Jianbin Xiong, Jiehan Zhou, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Open Access | Times Cited: 5
A Multiple Attention Convolutional Neural Networks for Diesel Engine Fault Diagnosis
Xiao Yang, Fengrong Bi, Jiangang Cheng, et al.
Sensors (2024) Vol. 24, Iss. 9, pp. 2708-2708
Open Access | Times Cited: 5
A Semi-Supervised Deep Transfer Learning Approach for Rolling-Element Bearing Remaining Useful Life Prediction
Tarek Berghout, Leïla Hayet Mouss, Toufik Bentrcia, et al.
IEEE Transactions on Energy Conversion (2021) Vol. 37, Iss. 2, pp. 1200-1210
Closed Access | Times Cited: 32
A Novel 1D-Convolutional Spatial-Time Fusion Strategy for Data-Driven Fault Diagnosis of Aero-Hydraulic Pipeline Systems
Tongguang Yang, Guanchen Li, Tongyu Wang, et al.
Mathematics (2023) Vol. 11, Iss. 14, pp. 3113-3113
Open Access | Times Cited: 13
Fault Diagnosis Method for Rolling Bearings Based on Grey Relation Degree
Yulin Mao, Jianghui Xin, Liguo Zang, et al.
Entropy (2024) Vol. 26, Iss. 3, pp. 222-222
Open Access | Times Cited: 4
Diesel Engine Fault Diagnosis Method Based on Optimized VMD and Improved CNN
Xianbiao Zhan, Huajun Bai, Hao Yan, et al.
Processes (2022) Vol. 10, Iss. 11, pp. 2162-2162
Open Access | Times Cited: 20
A Current Noise Cancellation Method Based on Integration of Stator Synchronized Currents for Bearing Fault Diagnosis
Somaye Nazari, Shoresh Shokoohi, Jamal Moshtagh
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 73, pp. 1-8
Closed Access | Times Cited: 10
Machinery fault diagnosis based on a modified hybrid deep sparse autoencoder using a raw vibration time-series signal
Mohd Syahril Ramadhan Mohd Saufi, M. Firdaus Isham, Zair Asrar Ahmad, et al.
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 4, pp. 3827-3838
Closed Access | Times Cited: 18
Tidal Stream Turbine Biofouling Detection and Estimation: A Review-Based Roadmap
Haroon Rashid, Mohamed Benbouzid, Hosna Titah-Benbouzid, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 5, pp. 908-908
Open Access | Times Cited: 9
A novel deep learning framework for rolling bearing fault diagnosis enhancement using VAE-augmented CNN model
Yu Wang, Dexiong Li, Lei Li, et al.
Heliyon (2024) Vol. 10, Iss. 15, pp. e35407-e35407
Open Access | Times Cited: 3
A novel multi-scale convolutional neural network incorporating multiple attention mechanisms for bearing fault diagnosis
Baoquan Hu, Jun Liu, Yue Xu
Measurement (2024) Vol. 242, pp. 115927-115927
Closed Access | Times Cited: 3
Detection of magnitude and position of rotor aerodynamic imbalance of wind turbines using Convolutional Neural Network
Zuoxia Xing, Mingyang Chen, Jia Cui, et al.
Renewable Energy (2022) Vol. 197, pp. 1020-1033
Closed Access | Times Cited: 14
Machine Learning in Event-Triggered Control: Recent Advances and Open Issues
Leila Sedghi, Zohaib Ijaz, Md. Noor‐A‐Rahim, et al.
IEEE Access (2022) Vol. 10, pp. 74671-74690
Open Access | Times Cited: 13
Bearing fault diagnosis using signal processing and machine learning techniques: A review
Viplav Barai, Sangharatna M. Ramteke, Vismay Dhanalkotwar, et al.
IOP Conference Series Materials Science and Engineering (2022) Vol. 1259, Iss. 1, pp. 012034-012034
Open Access | Times Cited: 12
A Novel Composite Envelope Negentropy Deconvolution Reconstruction Method for Fault Diagnosis
Lei Fu, Pengshuai Zhang, Mengke Ding, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 73, pp. 1-14
Closed Access | Times Cited: 7
Mode-Decoupling Auto-Encoder for Machinery Fault Diagnosis Under Unknown Working Conditions
Zenghui An, Xingxing Jiang, Jie Liu
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 3, pp. 4990-5003
Closed Access | Times Cited: 7
Bearing Fault Diagnosis Based on Parameter-Optimized Variational Mode Extraction and an Improved One-Dimensional Convolutional Neural Network
Rui Liang, Hanming Tao
Applied Sciences (2024) Vol. 14, Iss. 8, pp. 3289-3289
Open Access | Times Cited: 2
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