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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:

Fault Diagnosis of Rolling Bearing Under Variable Working Conditions Based on CWT and T-ResNet
Ningkun Diao, Zhicheng Wang, Huaixiang Ma, et al.
Journal of Vibration Engineering & Technologies (2022) Vol. 11, Iss. 8, pp. 3747-3757
Closed Access | Times Cited: 22

Showing 22 citing articles:

Intelligent fault diagnosis of rotating machinery under varying working conditions with global–local neighborhood and sparse graphs embedding deep regularized autoencoder
Zejin Sun, Youren Wang, Jiahao Gao
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106590-106590
Closed Access | Times Cited: 18
Intelligent Diagnosis of Dual-Channel Parallel Rolling Bearings Based on Feature Fusion
Haike Guo, Xiaoqiang Zhao
IEEE Sensors Journal (2024) Vol. 24, Iss. 7, pp. 10640-10655
Closed Access | Times Cited: 4
A hybrid fault diagnosis method for rolling bearings based on GGRU-1DCNN with AdaBN algorithm under multiple load conditions
Lirong Sun, Xiaomin Zhu, Jiannan Xiao, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076201-076201
Closed Access | Times Cited: 4
Cross-domain bearing fault diagnosis under missing labels with uncertainty modeling and digital twin correction
Z. Zhou, Wenhua Chen
Measurement (2025), pp. 116869-116869
Closed Access
An unsupervised multi-level fusion domain adaptation method for transfer diagnosis under time-varying working conditions
Cuiying Lin, Yun Kong, Qinkai Han, et al.
Mechanical Systems and Signal Processing (2025) Vol. 228, pp. 112458-112458
Closed Access
Fault Diagnosis of PMSM Stator Winding Based on Continuous Wavelet Transform Analysis of Stator Phase Current Signal and Selected Artificial Intelligence Techniques
Przemysław Pietrzak, Marcin Wolkiewicz
Electronics (2023) Vol. 12, Iss. 7, pp. 1543-1543
Open Access | Times Cited: 11
High-Resistance Connection Fault Diagnosis in Ship Electric Propulsion System Using Res-CBDNN
Jialing Xie, Weifeng Shi, Ting Xue, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 4, pp. 583-583
Open Access | Times Cited: 3
A small sample bearing fault diagnosis method based on novel Zernike moment feature attention convolutional neural network
Yunji Zhao, Xu Jun
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 066208-066208
Closed Access | Times Cited: 3
Fault Diagnosis of Rolling Bearings in Agricultural Machines Using SVD-EDS-GST and ResViT
Fengyun Xie, Yang Wang, Wang Gan, et al.
Agriculture (2024) Vol. 14, Iss. 8, pp. 1286-1286
Open Access | Times Cited: 3
A novel autoencoder modeling method for intelligent assessment of bearing health based on Short-Time Fourier Transform and ensemble strategy
Yong Hao, Chengxiang Zhang, Yuanhang Lu, et al.
Precision Engineering (2023) Vol. 85, pp. 89-101
Closed Access | Times Cited: 5
A SENet-TSCNN model developed for fault diagnosis considering squeeze-excitation networks and two-stream feature fusion
Wujiu Pan, Yinghao Sun, R. C. H. Cheng, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125117-125117
Closed Access | Times Cited: 4
Condition Monitoring and Fault Diagnosis of Permanent Magnet Synchronous Motor Stator Winding Using the Continuous Wavelet Transform and Machine Learning
Przemysław Pietrzak, Marcin Wolkiewicz
Power Electronics and Drives (2024) Vol. 9, Iss. 1, pp. 106-121
Open Access | Times Cited: 1
Bearing fault diagnosis method based on multi-domain feature fusion and heterogeneous network under small sample conditions
Xiaoqiang Zhao, Sen Li
Research Square (Research Square) (2024)
Open Access
Lightweight Ghost Enhanced Feature Attention Network: An Efficient Intelligent Fault Diagnosis Method under Various Working Conditions
Huaihao Dong, Kai Zheng, Siguo Wen, et al.
Sensors (2024) Vol. 24, Iss. 11, pp. 3691-3691
Open Access
Bearing fault diagnosis method based on multi-domain feature fusion and heterogeneous network under small sample conditions
Xiaoqiang Zhao, Sen Li
Signal Image and Video Processing (2024) Vol. 18, Iss. 11, pp. 8131-8148
Open Access
Gearbox fault diagnosis based on RGT-MFFIN and multi-sensor fusion image generation
G.X. Xie, Hongfei Zhan, Junhe Yu, et al.
Engineering Research Express (2024) Vol. 6, Iss. 3, pp. 035577-035577
Closed Access
ResNet Diagnosis of Rotor Faults in Oil Transfer Pumps
Lei Chen, Liang Dong, Zhicai Wu, et al.
Heliyon (2024) Vol. 10, Iss. 16, pp. e36170-e36170
Open Access
Research on Fault Diagnosis of Rolling Bearing Based on Gramian Angular Field and Lightweight Model
Jingtao Shen, Zhe Wu, Yachao Cao, et al.
Sensors (2024) Vol. 24, Iss. 18, pp. 5952-5952
Open Access
Acoustic emission-based leakage detection for gas safety valves: Leveraging a multi-domain encoding learning algorithm
Qinyuan Huang, Xiang Shi, Wenhao Hu, et al.
Measurement (2024), pp. 116011-116011
Closed Access
Multi-condition bearing fault diagnosis method based on RP–MBRN
Linghui Meng, Jinyang Xie, Liye Cheng, et al.
Structural Health Monitoring (2024)
Closed Access
A lightweight diagnosis method for gear fault based on multi-path convolutional neural networks with attention mechanism
YangQuan Chen, Manyi Wang, Yilin Jiang, et al.
Applied Intelligence (2024) Vol. 55, Iss. 2
Closed Access
A rolling bearing fault diagnosis method for imbalanced data based on multi-scale self-attention mechanism and novel loss function
Qiang Ruiru, Xiaoqiang Zhao
Insight - Non-Destructive Testing and Condition Monitoring (2024) Vol. 66, Iss. 11, pp. 690-701
Closed Access
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