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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:

Rolling Bearing Fault Severity Recognition via Data Mining Integrated With Convolutional Neural Network
Dongdong Liu, Lingli Cui, Weidong Cheng, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 6, pp. 5768-5777
Closed Access | Times Cited: 43

Showing 26-50 of 43 citing articles:

Deep learning segmentation models for estimating the health status of induction motor bearing
Kuldeep Kumar, Srihari Mandava
Neural Computing and Applications (2024) Vol. 36, Iss. 27, pp. 16977-16989
Closed Access | Times Cited: 1
Fault Diagnosis of Ultra-Supercritical Thermal Power Units Based on Improved ICEEMDAN and LeNet-5
Chun Wei, Xingfan Zhang, Cheng Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 1
Periodic Detection Mode Decomposition and Its Application in Bearing Fault Diagnosis
Chaoyong Ma, Zhiqiang Yang, Yonggang Xu, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 11, pp. 11806-11814
Closed Access | Times Cited: 3
Multilevel feature fusion of multi-domain vibration signals for bearing fault diagnosis
Hui Li, Daichao Wang
Signal Image and Video Processing (2023) Vol. 18, Iss. 1, pp. 99-108
Closed Access | Times Cited: 3
Egram Based SVD Method for Gear Fault Diagnosis
Lingli Cui, Yinhang Liu, Dezun Zhao, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 13, pp. 13188-13200
Closed Access | Times Cited: 5
Fault Diagnosis With Robustness and Lightweight Synergy Under Noisy Environment
Juan Tian, Gang Xie, Xiaohong Zhang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 14, pp. 16351-16362
Closed Access | Times Cited: 2
Analysis of hot spots and trends in rolling bearing fault diagnosis research based on scientific knowledge mapping
Bin Chen, Yang Zhao, Yuteng Zhang, et al.
Engineering Research Express (2024) Vol. 6, Iss. 2, pp. 025536-025536
Open Access
Fault diagnosis of power equipment based on variational autoencoder and semi‐supervised learning
B.G. Ye, Feng Li, Linghao Zhang, et al.
Concurrency and Computation Practice and Experience (2024) Vol. 36, Iss. 20
Closed Access
Action Recognition for Special Needs Students: An Algorithmic Study Integrating Convolutional Neural Networks and Temporal Attention Mechanism
Fan Zhang
(2024), pp. 237-242
Closed Access
A Low Cost IoT-Based Hybrid Multiscale CNN-LSTM Approach for Bearing Fault Diagnosis Using Low Sampling Rate Vibration Data
Seyed Mohammad Mahdi Moosavi, Sajad Khoshbakht, Hossein Taheri
(2024) Vol. 1, Iss. 2, pp. 113-125
Closed Access
An Information Fusion Based Incipient Fault Diagnosis Method for Railway Vehicle Door System
Keyi Zhou, Ningyun Lu, Bin Jiang, et al.
IEEE Transactions on Intelligent Vehicles (2023) Vol. 9, Iss. 1, pp. 1320-1332
Closed Access | Times Cited: 1
A Novel Lightweight Customized Convolution Neural Network for Bearing Fault Classification
Karan Kumar K, Srihari Mandava
(2023)
Closed Access | Times Cited: 1
Multiscale Time-Frequency Sparse Transformer Based on Partly Interpretable Method for Bearing Fault Diagnosis
Shouquan Che, Jianfeng Lu, Congwang Bao, et al.
Shock and Vibration (2023) Vol. 2023, pp. 1-21
Open Access | Times Cited: 1
An Improved Anti-Noise Network for Bearing Fault Diagnosis under Noisy Environment
Chaoyang Weng, Baochun Lu, Wei Sun
(2022), pp. 120-125
Closed Access | Times Cited: 2
Convolutional autoencoder neural network for fault diagnosis with multi-sensor data
Xin Wang, Lingli Cui, Na Yang
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2022), pp. 095440622211413-095440622211413
Closed Access | Times Cited: 1
An Emerging Fault Diagnosis Framework with Incremental Meta-Learning for Rotating Machinery
Ke Yue, Jipu Li, Zhuyun Chen, et al.
(2023), pp. 1-6
Closed Access
Table of Contents

IEEE Sensors Journal (2022) Vol. 22, Iss. 6, pp. 4734-4740
Open Access
Full-circle localization diagnosis of rolling bearing outer ring defects based on double-vibration signal fusion
Jinfeng Huang, Lingli Cui
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2022) Vol. 238, Iss. 13, pp. 6064-6081
Closed Access
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