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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:

Health index synthetization and remaining useful life estimation for turbofan engines based on run-to-failure datasets
Jianming Shi, Yongxiang Li, Gong Wang, et al.
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2016) Vol. 18, Iss. 4, pp. 621-631
Open Access | Times Cited: 14

Showing 14 citing articles:

Prognostics and Health Management of Bearings Based on Logarithmic Linear Recursive Least-Squares and Recursive Maximum Likelihood Estimation
Xiongjun Liu, Ping Song, Cheng Yang, et al.
IEEE Transactions on Industrial Electronics (2017) Vol. 65, Iss. 2, pp. 1549-1558
Closed Access | Times Cited: 63
Machining sensor data management for operation-level predictive model
Edward Kozłowski, Dariusz Mazurkiewicz, Tomasz Żabiński, et al.
Expert Systems with Applications (2020) Vol. 159, pp. 113600-113600
Open Access | Times Cited: 53
Similarity-based prediction method for machinery remaining useful life: A review
Bin Xue, Huangyang Xu, Xing Huang, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 121, Iss. 3-4, pp. 1501-1531
Closed Access | Times Cited: 22
An ensemble model for engineered systems prognostics combining health index synthesis approach and particle filtering
Li Yongxiang, Jianming Shi, Gong Wang, et al.
Quality and Reliability Engineering International (2017) Vol. 33, Iss. 8, pp. 2711-2725
Closed Access | Times Cited: 22
Estimating Remaining Useful Life of Turbofan Engine Using Data-Level Fusion and Feature-Level Fusion
Sheida Ghorbani, Karim Salahshoor
Journal of Failure Analysis and Prevention (2020) Vol. 20, Iss. 1, pp. 323-332
Closed Access | Times Cited: 15
Remaining useful life prediction via long‐short time memory neural network with novel partial least squares and genetic algorithm
Ke Yang, Yongjian Wang, Yunan Yao, et al.
Quality and Reliability Engineering International (2020) Vol. 37, Iss. 3, pp. 1080-1098
Closed Access | Times Cited: 14
Remaining useful life prognostics based on stochastic degradation modeling: turbofan engine as case study
Zahra Esfahani, Karim Salahshoor, A. H. Mazinan
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2022) Vol. 44, Iss. 7
Closed Access | Times Cited: 8
Health Assessment and Remaining Useful Life Prediction of Wind Turbine High-Speed Shaft Bearings
Zhenen Li, Xinyan Zhang, Tusongjiang Kari, et al.
Energies (2021) Vol. 14, Iss. 15, pp. 4612-4612
Open Access | Times Cited: 11
A decision fusion based methodology for fault Prognostic and Health Management of complex systems
Khaoula Tidriri, Sylvain Verron, Téodor Tiplica, et al.
Applied Soft Computing (2019) Vol. 83, pp. 105622-105622
Closed Access | Times Cited: 10
Data-driven health condition and RUL prognosis for liquid filtration systems
Seung‐Hyun Lee, Seungju Lee, Kwonneung Lee, et al.
Journal of Mechanical Science and Technology (2021) Vol. 35, Iss. 4, pp. 1597-1607
Closed Access | Times Cited: 7
An aero-engine state evaluation method based on weighted Hellinger distance
Biao Yang, Zi Mei, Ping Wang, et al.
Measurement and Control (2022) Vol. 56, Iss. 1-2, pp. 49-59
Open Access | Times Cited: 3
A LS-SVM based Approach for Turbine Engines Prognostics Using Sensor Data
Yongxiang Li, Xiaoming Shan, Wei Zhao, et al.
2022 IEEE International Conference on Industrial Technology (ICIT) (2019), pp. 983-987
Closed Access | Times Cited: 3
A new Signal Processing-based Prognostic Approach applied to Turbofan Engines
Khaoula Tidriri, Sylvain Verron, Nizar Chatti
(2020), pp. 1-6
Closed Access
A New Kurtosis Spectrogram and One Dimensional Deep CNN Model for High-Speed Bearing Lifespan Estimation on Wind Turbine
M. Shyamala Devi, Carmel Mary Belinda M J, R. Aruna, et al.
2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) (2022), pp. 1-5
Closed Access
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