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:

Highly Reliable Multicomponent MEMS Sensor for Predictive Maintenance Management of Rolling Bearings
Elia Landi, Andrea Prato, Ada Fort, et al.
Micromachines (2023) Vol. 14, Iss. 2, pp. 376-376
Open Access | Times Cited: 8

Showing 8 citing articles:

Structural health monitoring for 3D-printed civil infrastructures: A review of challenges, applications and future directions
Lukesh Parida, Sumedha Moharana
Smart Materials and Structures (2024) Vol. 33, Iss. 10, pp. 103001-103001
Closed Access | Times Cited: 1

Metrology for next generation “Phygital Sensors”
Alessandro Schiavi, Fabrizio Mazzoleni, Alessio Facello, et al.
(2023), pp. 90-95
Open Access | Times Cited: 4

Evaluation of the Diagnostic Sensitivity of Digital Vibration Sensors Based on Capacitive MEMS Accelerometers
M. Fidali, Damian Augustyn, Jakub Ochmann, et al.
Sensors (2024) Vol. 24, Iss. 14, pp. 4463-4463
Open Access

AI-Enabled Modern Power Systems: Challenges, Solutions, and Recommendations
Seyed Mohammad Shobeiry
Power systems (2024), pp. 19-67
Closed Access

Winding Characteristics and Signal Characterization of Roller During Threshing of Mature Rice
Kexin Que, Xiaobo Zhuang, Y. Shi, et al.
Agriculture (2024) Vol. 14, Iss. 12, pp. 2332-2332
Open Access

Prediction of Remaining Useful Life of Mechanical Equipment : A Review
Gang Bao, Ranran Zhau, Rui Xu, et al.
(2023), pp. 83-89
Closed Access | Times Cited: 1

Bearing Failure Classification with Low Complexity Neural Network
Ada Fort, Marco Mugnaini, Filippo Spinelli, et al.
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (2023), pp. 353-358
Closed Access | Times Cited: 1

A Low Complexity Rolling Bearing Diagnosis Technique Based on Machine Learning and Smart Preprocessing
Ada Fort, Elia Landi, Marco Mugnaini, et al.
Sensors (2023) Vol. 23, Iss. 17, pp. 7546-7546
Open Access

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