OpenAlex Citation Counts

OpenAlex Citations Logo

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 remaining useful life prediction with an improved CNN-LSTM network using an artificial gorilla troop optimization algorithm
Yonghua Li, Zhe Chen, Chaoqun Hu, et al.
Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability (2024)
Closed Access | Times Cited: 6

Showing 6 citing articles:

Rolling Bearing RUL Prediction Based on Fusion of Multi-Head Attention and Improved TCN-BiLSTM
Guo Yuan, Jun Zhou, Zhenbiao Dong, et al.
IEEE Access (2024) Vol. 12, pp. 95641-95658
Open Access | Times Cited: 5

Multi-dimensional failure risk load prediction of electric motor based on physical model and data-driven approach
Zhen Wang, Lihui Zhao, Dongdong Zhang, et al.
Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability (2025)
Closed Access

A New Strategy: Remaining Useful Life Prediction of Wind Power Bearings Based on Deep Learning under Data Missing Conditions
Xuejun Li, Lei Xu, Lingli Jiang, et al.
Mathematics (2024) Vol. 12, Iss. 13, pp. 2119-2119
Open Access | Times Cited: 2

Enhanced fault diagnosis and remaining useful life prediction of rolling bearings using a hybrid multilayer perceptron and LSTM network model
Kumaran Bharatheedasan, Tanmoy Maity, L.A. Kumaraswamidhas, et al.
Alexandria Engineering Journal (2024) Vol. 115, pp. 355-369
Closed Access | Times Cited: 1

A Rolling Bearing Remaining Life Prediction Method Based on Wiener Process Data-Model Integration in the Context of Mechanical Fault Diagnosis
Hongliang He, Tongtong Liu, Chao Zhang, et al.
Mechanisms and machine science (2024), pp. 262-273
Closed Access

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

Page 1

Scroll to top