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:
A novel approach for bearings multiclass fault diagnosis fusing multiscale deep convolution and hybrid attention networks
Fule Li, Xinlong Zhao
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 045017-045017
Closed Access | Times Cited: 8
Fule Li, Xinlong Zhao
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 045017-045017
Closed Access | Times Cited: 8
Showing 8 citing articles:
A data enhanced algorithm for fault diagnosis of slewing bearings based on times-series generative adversarial networks
Li Sun, Jun Jie Wu, Guochao Li, et al.
Signal Image and Video Processing (2025) Vol. 19, Iss. 4
Closed Access
Li Sun, Jun Jie Wu, Guochao Li, et al.
Signal Image and Video Processing (2025) Vol. 19, Iss. 4
Closed Access
Predictive Maintenance for Gantry Crane Shafts: Enhancing Sensor Features With Dynamic Dual-Domain Competitive Attention GRU Autoencoder
Xinhao Shao, Yanjun Ma, Daofang Chang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 11, pp. 18154-18171
Closed Access
Xinhao Shao, Yanjun Ma, Daofang Chang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 11, pp. 18154-18171
Closed Access
WBUN: An interpretable convolutional neural network with wavelet basis unit embedded for fault diagnosis
Sen Gao, Zhijin Zhang, Xin Zhang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086125-086125
Open Access
Sen Gao, Zhijin Zhang, Xin Zhang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086125-086125
Open Access
A Bearing Fault Diagnosis Method Based on Vibration Signal Extension and Time-Frequency Information Fusion Network Under Small Sample Conditions
Zedong Ju, Yinsheng Chen, Jiahui Chen, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 17, pp. 27712-27727
Closed Access
Zedong Ju, Yinsheng Chen, Jiahui Chen, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 17, pp. 27712-27727
Closed Access
Dual-feature enhanced hybrid convolutional network for imbalanced fault diagnosis of rolling bearings
Yingjie Zhao, Changfeng Yan, Bin Liu, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016023-016023
Open Access
Yingjie Zhao, Changfeng Yan, Bin Liu, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016023-016023
Open Access
Diagnosis of incipient faults in wind turbine bearings based on ICEEMDAN–IMCKD
Yanjun Li, DJ Han
International journal of mechanical system dynamics (2024)
Open Access
Yanjun Li, DJ Han
International journal of mechanical system dynamics (2024)
Open Access
An enhanced deep intelligent model with feature fusion and ensemble learning for the fault diagnosis of rotating machinery
Kejia Zhuang, Bin Deng, Huai Chen, et al.
Structural Health Monitoring (2024)
Closed Access
Kejia Zhuang, Bin Deng, Huai Chen, et al.
Structural Health Monitoring (2024)
Closed Access
Rolling bearing fault diagnosis method based on gramian angular difference field and dynamic self-calibrated convolution module
Chunli Liu, Jiarui Bai, Linlin Xue, et al.
PLoS ONE (2024) Vol. 19, Iss. 12, pp. e0314898-e0314898
Open Access
Chunli Liu, Jiarui Bai, Linlin Xue, et al.
PLoS ONE (2024) Vol. 19, Iss. 12, pp. e0314898-e0314898
Open Access
