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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:

Performance degradation prediction model of rolling bearing based on self-checking long short-term memory network
Xiaosheng Lan, Yunfeng Li, Yuanhao Su, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 1, pp. 015016-015016
Closed Access | Times Cited: 13

Showing 13 citing articles:

A Data Augmentation Boosted Dual Informer Framework for the Performance Degradation Prediction of Aero-Engines
Zhiyao Zhang, Pengpeng Chen, Chenguang Xing, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 11, pp. 12018-12030
Closed Access | Times Cited: 9
Drill Tools Sticking Prediction Based on Adaptive Long Short-Term Memory
Honglin Wu, Zhongbin Wang, Lei Si, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086134-086134
Closed Access | Times Cited: 2
Gearbox compound fault diagnosis method based on deep adversarial graph convolution transfer learning network under low label ratios
Xiaojia Kong, Yuanhao Su, Liang Meng, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 8, pp. 085010-085010
Open Access | Times Cited: 6
ANFIS-based Framework for the Prediction of Bearing’s Remaining Useful Life
Abdel wahhab Lourari, Tarak Benkedjouh, Bilal El Yousfi, et al.
International Journal of Prognostics and Health Management (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
RUL prediction of rolling bearings based on adaptive variational mode decomposition and double-discriminator conditional CycleGAN
Jun Yu, Kun Zhao, Zhenyu Guo, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2024) Vol. 238, Iss. 12, pp. 6007-6017
Closed Access
SPLSTM: A Prediction Model for Operational Faults in Rotating Machinery
Xiaosheng Lan, Tongle Xu
IEEE Sensors Journal (2024) Vol. 24, Iss. 7, pp. 10447-10461
Closed Access
A Procedure for Assessing of Machine Health Index Data Prediction Quality
Daniel Kuzio, Radosław Zimroz, Agnieszka Wyłomańska
(2024)
Closed Access
A model fusion optimization strategy for lithium mill equipment state prediction
Yanjun Xiao, Fuan Ning, Shanshan Yin, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 125001-125001
Closed Access
Review of rolling bearings performance degradation trend prediction
Yaping Wang, Kaiting Lu, Renquan Dong, et al.
Noise & Vibration Worldwide (2024)
Closed Access
A procedure for assessing of machine health index data prediction quality
Daniel Kuzio, Radosław Zimroz, Agnieszka Wyłomańska
Measurement (2024) Vol. 242, pp. 116040-116040
Open Access
Comparative Study of Time Series Analysis Algorithms Suitable for Short-Term Forecasting in Implementing Demand Response Based on AMI
Myung-joo Park, Hyo-Sik Yang
Sensors (2024) Vol. 24, Iss. 22, pp. 7205-7205
Open Access
1D-SCRN: a novel approach for industrial machinery performance degradation trend prediction
Gangjin Huang, Hongkun Li, Chaoge Wang, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2023) Vol. 45, Iss. 11
Closed Access
A New Approach to the Degradation Stage Prediction of Rolling Bearings Using Hierarchical Grey Entropy and a Grey Bootstrap Markov Chain
Li Cheng, Wensuo Ma, Zuobin Gao
Sensors (2023) Vol. 23, Iss. 22, pp. 9082-9082
Open Access
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