
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 Diagnosis Method Based on Deep Learning and Health State Division
Lin Shi, Shaohui Su, Wanqiang Wang, et al.
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7424-7424
Open Access | Times Cited: 8
Lin Shi, Shaohui Su, Wanqiang Wang, et al.
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7424-7424
Open Access | Times Cited: 8
Showing 8 citing articles:
Transfer learning for servomotor bearing fault detection in the industrial robot
Prashant Kumar, Izaz Raouf, Heung Soo Kim
Advances in Engineering Software (2024) Vol. 194, pp. 103672-103672
Closed Access | Times Cited: 12
Prashant Kumar, Izaz Raouf, Heung Soo Kim
Advances in Engineering Software (2024) Vol. 194, pp. 103672-103672
Closed Access | Times Cited: 12
Multi‐Channel Deep Pulse‐Coupled Net: A Novel Bearing Fault Diagnosis Framework
Yanxi Wu, Yalin Yang, Zhuoran Yang, et al.
IET Image Processing (2025) Vol. 19, Iss. 1
Open Access
Yanxi Wu, Yalin Yang, Zhuoran Yang, et al.
IET Image Processing (2025) Vol. 19, Iss. 1
Open Access
Convolutional Neural Networks Based on Resonance Demodulation of Vibration Signal for Rolling Bearing Fault Diagnosis in Permanent Magnet Synchronous Motors
Ding Li, Haotian Guo, Liqiang Bian
Energies (2024) Vol. 17, Iss. 17, pp. 4334-4334
Open Access | Times Cited: 3
Ding Li, Haotian Guo, Liqiang Bian
Energies (2024) Vol. 17, Iss. 17, pp. 4334-4334
Open Access | Times Cited: 3
Research on Fault Diagnosis of Rotating Parts Based on Transformer Deep Learning Model
Zilin Zhang, Yaohua Deng, Xiali Liu, et al.
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10095-10095
Open Access | Times Cited: 2
Zilin Zhang, Yaohua Deng, Xiali Liu, et al.
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10095-10095
Open Access | Times Cited: 2
Anomaly detection of industrial motors under few-shot feature conditions based on causality
Yuefeng Cen, Xucheng Li, Gang Cen, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125004-125004
Closed Access | Times Cited: 3
Yuefeng Cen, Xucheng Li, Gang Cen, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125004-125004
Closed Access | Times Cited: 3
An identification method of compound faults of rolling bearings blending variational mode decomposition and vector bispectrum
Mingyue Yu, Xin Wang, Xiangdong Ge, et al.
Noise & Vibration Worldwide (2024) Vol. 55, Iss. 6-7, pp. 322-337
Closed Access
Mingyue Yu, Xin Wang, Xiangdong Ge, et al.
Noise & Vibration Worldwide (2024) Vol. 55, Iss. 6-7, pp. 322-337
Closed Access
Coupling Fault Diagnosis Based on Dynamic Vertex Interpretable Graph Neural Network
Shenglong Wang, Bo Jing, Jinxin Pan, et al.
Sensors (2024) Vol. 24, Iss. 13, pp. 4356-4356
Open Access
Shenglong Wang, Bo Jing, Jinxin Pan, et al.
Sensors (2024) Vol. 24, Iss. 13, pp. 4356-4356
Open Access
A novel performance prediction method for harmonic reducers based on the trend-enhanced Fisher’s discriminant ratio-Wiener process
Yixin Zhang, Yang Xu, Guosheng Xie, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016133-016133
Closed Access
Yixin Zhang, Yang Xu, Guosheng Xie, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016133-016133
Closed Access
Gaussian-Linearized Transformer with Tranquilized Time-Series Decomposition Methods for Fault Diagnosis and Forecasting of Methane Gas Sensor Arrays
Kai Zhang, Wangze Ning, Yudi Zhu, et al.
Applied Sciences (2023) Vol. 14, Iss. 1, pp. 218-218
Open Access
Kai Zhang, Wangze Ning, Yudi Zhu, et al.
Applied Sciences (2023) Vol. 14, Iss. 1, pp. 218-218
Open Access