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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.

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Showing 13 citing articles:

Machine Fault Diagnosis through Vibration Analysis: Continuous Wavelet Transform with Complex Morlet Wavelet and Time–Frequency RGB Image Recognition via Convolutional Neural Network
Dominik Łuczak
Electronics (2024) Vol. 13, Iss. 2, pp. 452-452
Open Access | Times Cited: 21
Convolutional Neural Network with Attention Mechanism and Visual Vibration Signal Analysis for Bearing Fault Diagnosis
Qing Zhang, Xiaohan Wei, Ye Wang, et al.
Sensors (2024) Vol. 24, Iss. 6, pp. 1831-1831
Open Access | Times Cited: 8
Data-Driven Machine Fault Diagnosis of Multisensor Vibration Data Using Synchrosqueezed Transform and Time-Frequency Image Recognition with Convolutional Neural Network
Dominik Łuczak
Electronics (2024) Vol. 13, Iss. 12, pp. 2411-2411
Open Access | Times Cited: 6
Remaining Useful Life Prediction of Rolling Bearings Based on ECA-CAE and Autoformer
Jianhua Zhong, Huying Li, Yuquan Chen, et al.
Biomimetics (2024) Vol. 9, Iss. 1, pp. 40-40
Open Access | Times Cited: 4
Machine Fault Diagnosis through Vibration Analysis: Time Series Conversion to Grayscale and RGB Images for Recognition via Convolutional Neural Networks
Dominik Łuczak
Energies (2024) Vol. 17, Iss. 9, pp. 1998-1998
Open Access | Times Cited: 4
Unraveling Induction Motor State through Thermal Imaging and Edge Processing: A Step towards Explainable Fault Diagnosis
Mateusz Piechocki, Tomasz Pajchrowski, Marek Kraft, et al.
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2023) Vol. 25, Iss. 3
Open Access | Times Cited: 7
Predicting Machine Failures from Multivariate Time Series: An Industrial Case Study
Nicolò Oreste Pinciroli Vago, Francesca Forbicini, Piero Fraternali
Machines (2024) Vol. 12, Iss. 6, pp. 357-357
Open Access | Times Cited: 2
Separation and Extraction of Compound-Fault Signal Based on Multi-Constraint Non-Negative Matrix Factorization
Mengyang Wang, Wenbao Zhang, Mingzhen Shao, et al.
Entropy (2024) Vol. 26, Iss. 7, pp. 583-583
Open Access | Times Cited: 2
Data-Driven Rotary Machine Fault Diagnosis Using Multisensor Vibration Data with Bandpass Filtering and Convolutional Neural Network for Signal-to-Image Recognition
Dominik Łuczak
Electronics (2024) Vol. 13, Iss. 15, pp. 2940-2940
Open Access | Times Cited: 1
Robust post-processing time frequency technology and its application to mechanical fault diagnosis
Junbo Long, Changshou Deng, Haibin Wang
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
An Approach based on IoT, MQTT and Docker to Distribute and Persist Data of an Automated AMBU Ventilator
Nerval de J. S., Hellen Dianne P. de Souza, Shigeaki L. de Lima, et al.
2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) (2024) Vol. 5, pp. 2738-2743
Closed Access
Deep Generative Model with Isolation Forest (DGM-IF) for Unsupervised Anomaly Detection in Wireless Sensor Network and Internet of Things
Meriem Zerkouk, Miloud Mihoubi, Belkacem Chikhaoui
2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) (2023), pp. 2275-2280
Closed Access
Transformer Faults Classification Based on Convolution Neural Network
Maha A. Elmohallawy, Adil Amirjanov, Amal F. Abdel-Gawad, et al.
International journal of electrical and computer engineering systems (2023) Vol. 14, Iss. 9, pp. 1069-1075
Open Access
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