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:

Prediction of rolling bearing performance degradation based on sae and TCN-attention models
Yaping Wang, Dekang Hou, Di Xu, et al.
Journal of Mechanical Science and Technology (2023) Vol. 37, Iss. 4, pp. 1567-1583
Closed Access | Times Cited: 6

Showing 6 citing articles:

Stress relaxation behavior and life prediction of 1Cr18Ni9 spring based on PSO-TCN-Attention
Tingting Zhang, Zenggui Gao, Z.C. Xu, et al.
Advances in Manufacturing (2025)
Closed Access

MC-ABDS: A system for low SNR fault diagnosis in industrial production with intense overlapping and interference
Haocheng Yin, Haitao Xu, Heng Zhang, et al.
Applied Acoustics (2024) Vol. 227, pp. 110217-110217
Closed Access | Times Cited: 1

Short-term traffic flow prediction based on SAE and its parallel training
Xiaoxue Tan, Yonghua Zhou, Lu Zhao, et al.
Applied Intelligence (2024) Vol. 54, Iss. 4, pp. 3650-3664
Closed Access

Performance degradation prediction of rolling bearing based on temporal graph convolutional neural network
Yaping Wang, Zunshan Xu, Songtao Zhao, et al.
Journal of Mechanical Science and Technology (2024) Vol. 38, Iss. 8, pp. 4019-4036
Closed Access

Wear prediction of high performance rolling bearing based on 1D-CNN-LSTM hybrid neural network under deep learning
Lai Hu, Jian Wang, Heow Pueh Lee, et al.
Heliyon (2024) Vol. 10, Iss. 17, pp. e35781-e35781
Open Access

Review of rolling bearings performance degradation trend prediction
Yaping Wang, Kaiting Lu, Renquan Dong, et al.
Noise & Vibration Worldwide (2024)
Closed Access

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