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:

MSWR-LRCN: A new deep learning approach to remaining useful life estimation of bearings
Yongyi Chen, Dan Zhang, Wen‐An Zhang
Control Engineering Practice (2021) Vol. 118, pp. 104969-104969
Closed Access | Times Cited: 32

Showing 26-50 of 32 citing articles:

Wind Turbine Data-Driven Intelligent Fault Detection
Silvio Simani, Saverio Farsoni, Paolo Castaldi
Lecture notes in networks and systems (2024), pp. 50-60
Closed Access

Adaptive early initial degradation point detection and outlier correction for bearings
Qichao Yang, Baoping Tang, Lei Deng, et al.
Computers in Industry (2024) Vol. 164, pp. 104166-104166
Closed Access

A MPC Performance Degradation Diagnosis Method Based on Receding Feature Horizon
Wenhua Jiao, Tao Zou, Zhangcheng Xie, et al.
2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) (2024), pp. 2314-2319
Closed Access

Event-triggered adaptive NNs tracking control of three-phase PWM rectifiers under random disturbances
Ying Zhao, Ticao Jiao, Ju H. Park, et al.
Nonlinear Dynamics (2022) Vol. 111, Iss. 1, pp. 303-317
Closed Access | Times Cited: 2

Rolling bearing fault diagnosis based on the enhanced channel attention network
Zhongting Huang, Yongyi Chen, Jian‐Jun Liu, et al.
Cyber-Physical Systems (2023) Vol. 10, Iss. 2, pp. 197-213
Closed Access

CeRULEo: Comprehensive utilitiEs for Remaining Useful Life Estimation methOds
Luciano Lorenti, Gian Antonio Susto
The Journal of Open Source Software (2023) Vol. 8, Iss. 88, pp. 5294-5294
Open Access

Remaining Useful Life Prediction of Machinery Equipment via Deep Learning Approach Based on Separable CNN and Bi-LSTM
İbrahim Eke, Ahmet Kara
Lecture notes in mechanical engineering (2023), pp. 128-137
Closed Access

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