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:
Boosted Convolutional Neural Network Algorithm for the Classification of the Bearing Fault form 1-D Raw Sensor Data
Paweł Knap, Krzysztof Lalik, Patryk Bałazy
Sensors (2023) Vol. 23, Iss. 9, pp. 4295-4295
Open Access | Times Cited: 8
Paweł Knap, Krzysztof Lalik, Patryk Bałazy
Sensors (2023) Vol. 23, Iss. 9, pp. 4295-4295
Open Access | Times Cited: 8
Showing 8 citing articles:
An Improved Spectral Subtraction Method for Eliminating Additive Noise in Condition Monitoring System Using Fiber Bragg Grating Sensors
Qi Liu, Yongchao Yu, Boon Siew Han, et al.
Sensors (2024) Vol. 24, Iss. 2, pp. 443-443
Open Access | Times Cited: 7
Qi Liu, Yongchao Yu, Boon Siew Han, et al.
Sensors (2024) Vol. 24, Iss. 2, pp. 443-443
Open Access | Times Cited: 7
Multi-Patch Time Series Transformer for Robust Bearing Fault Detection with Varying Noise
Sangkeun Ko, Suan Lee
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1257-1257
Open Access
Sangkeun Ko, Suan Lee
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1257-1257
Open Access
A Systematic Literature Review on Artificial Intelligence and Explainable Artificial Intelligence for Visual Quality Assurance in Manufacturing
Rudolf Hoffmann, Christoph Reich
Electronics (2023) Vol. 12, Iss. 22, pp. 4572-4572
Open Access | Times Cited: 8
Rudolf Hoffmann, Christoph Reich
Electronics (2023) Vol. 12, Iss. 22, pp. 4572-4572
Open Access | Times Cited: 8
Wind Turbine Condition Monitoring Using the SSA-Optimized Self-Attention BiLSTM Network and Changepoint Detection Algorithm
Junshuai Yan, Yongqian Liu, Li Li, et al.
Sensors (2023) Vol. 23, Iss. 13, pp. 5873-5873
Open Access | Times Cited: 5
Junshuai Yan, Yongqian Liu, Li Li, et al.
Sensors (2023) Vol. 23, Iss. 13, pp. 5873-5873
Open Access | Times Cited: 5
Fault Diagnosis for Motor Bearings via an Intelligent Strategy Combined with Signal Reconstruction and Deep Learning
Weiguo Li, Naiyuan Fan, Xianghe Peng, et al.
Energies (2024) Vol. 17, Iss. 19, pp. 4773-4773
Open Access | Times Cited: 1
Weiguo Li, Naiyuan Fan, Xianghe Peng, et al.
Energies (2024) Vol. 17, Iss. 19, pp. 4773-4773
Open Access | Times Cited: 1
Application of Artificial Neural Networks to Determine the Length of Mining Bolts Using a Self-Excited Acoustical System
Ireneusz Dominik, Krzysztof Lalik, Jan Przepióra
(2024), pp. 1-4
Closed Access
Ireneusz Dominik, Krzysztof Lalik, Jan Przepióra
(2024), pp. 1-4
Closed Access
Reinforcement Lerning-Based Overhead Crane Control for Handling in Sensor-Failure Scenarios
Patryk Bałazy, Szymon Podlasek
(2024), pp. 1-5
Closed Access
Patryk Bałazy, Szymon Podlasek
(2024), pp. 1-5
Closed Access
Improved Intelligent Condition Monitoring with Diagnostic Indicator Selection
Urszula Jachymczyk, Paweł Knap, Krzysztof Lalik
Sensors (2024) Vol. 25, Iss. 1, pp. 137-137
Open Access
Urszula Jachymczyk, Paweł Knap, Krzysztof Lalik
Sensors (2024) Vol. 25, Iss. 1, pp. 137-137
Open Access
