Open Access Helper

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:

Cyclostationary Analysis towards Fault Diagnosis of Rotating Machinery
Shengnan Tang, Shouqi Yuan, Yong Zhu
Processes (2020) Vol. 8, Iss. 10, pp. 1217-1217
Open Access | Times Cited: 9

Showing 9 citing articles:

Intelligent Fault Diagnosis of Hydraulic Piston Pump Based on Wavelet Analysis and Improved AlexNet
Yong Zhu, Guangpeng Li, Rui Wang, et al.
Sensors (2021) Vol. 21, Iss. 2, pp. 549-549
Open Access | Times Cited: 44
Development of a ship classification method based on Convolutional neural network and Cyclostationarity Analysis
Rodrigo Emanoel de B.A. Barros, Nelson F. F. Ebecken
Mechanical Systems and Signal Processing (2022) Vol. 170, pp. 108778-108778
Closed Access | Times Cited: 13
Vibration Signal Analysis for Intelligent Rotating Machinery Diagnosis and Prognosis: A Comprehensive Systematic Literature Review
Ikram Bagri, Karim Tahiry, Aziz Hraiba, et al.
Vibration (2024) Vol. 7, Iss. 4, pp. 1013-1062
Open Access | Times Cited: 1
FaultBit: Generic and Efficient Wireless Fault Detection Using the Internet of Things
Koustabh Dolui, Ashok Samraj Thangarajan, Sergii Morshchavka, et al.
(2024), pp. 97-118
Closed Access
Designing a Multivariate Belt Conveyor Idler Stall Detection and Identification System with Scalability Analysis
Kyeong Min Shin, Younho Nam, Young-Joo Suh
Sensors (2024) Vol. 24, Iss. 24, pp. 7989-7989
Open Access
Fault Diagnosis in Industries: How to Improve the Health Assessment of Rotating Machinery
Francesca Calabrese, Alberto Regattieri, Marco Bortolini, et al.
Smart innovation, systems and technologies (2021), pp. 257-266
Closed Access | Times Cited: 3
Special Issue “Advances in Machine Learning and Deep Learning Based Machine Fault Diagnosis and Prognosis”
Mohand Djeziri, Marc Bendahan
Processes (2021) Vol. 9, Iss. 3, pp. 532-532
Open Access | Times Cited: 2
A composite learning approach for multiple fault diagnosis in gears
Udeme Ibanga Inyang, Ivan Petrunin, Ian Jennions
Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability (2022) Vol. 238, Iss. 1, pp. 158-171
Open Access | Times Cited: 1
REMOTE MONITORING AND INTELLIGENT FAILURE DIAGNOSIS OF ROTATING MACHINERY USING THE B/S MODE
Jianping He
International Journal of Mechatronics and Applied Mechanics (2021) Vol. 1, Iss. 10
Open Access
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