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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.

Requested Article:

Fault diagnosis of machines operating in variable conditions using artificial neural network not requiring training data from a faulty machine
Paweł Pawlik, Konrad Kania, Bartosz Przysucha
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2023) Vol. 25, Iss. 3
Open Access | Times Cited: 19

Showing 19 citing articles:

Evaluation of the maintenance system readiness using the semi-Markov model taking into account hidden factors
Edward Kozłowski, Anna Borucka, Piotr Oleszczuk, et al.
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2023) Vol. 25, Iss. 4
Open Access | Times Cited: 37
Optimizing the Neural Network Loss Function in Electrical Tomography to Increase Energy Efficiency in Industrial Reactors
Monika Kulisz, Grzegorz Kłosowski, Tomasz Rymarczyk, et al.
Energies (2024) Vol. 17, Iss. 3, pp. 681-681
Open Access | Times Cited: 7
Autonomous Mobile Robots in Automotive Remanufacturing: A Case Study for Intra-Logistics Support
Jakub Pizoń, Łukasz Wójcik, Arkadiusz Gola, et al.
Advances in Science and Technology – Research Journal (2024) Vol. 18, Iss. 1, pp. 213-230
Open Access | Times Cited: 5
Application of Machine Learning to the Prediction of Surface Roughness in the Milling Process on the Basis of Sensor Signals
Katarzyna Antosz, Edward Kozłowski, Jarosław Sęp, et al.
Materials (2025) Vol. 18, Iss. 1, pp. 148-148
Open Access
Analysis of Instantaneous Energy Consumption and Recuperation Based on Measurements from SORT Runs
Edward Kozłowski, Magdalena Zimakowska-Laskowska, Agnieszka Dudziak, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 1681-1681
Open Access
Advancing bearing fault diagnosis under variable working conditions: a CEEMDAN-SBS approach with vibro-electric signal integration
Abdel wahhab Lourari, Abdenour Soualhi, Tarak Benkedjouh
The International Journal of Advanced Manufacturing Technology (2024) Vol. 132, Iss. 5-6, pp. 2753-2772
Open Access | Times Cited: 3
Temperature Prediction and Performance Comparison of Permanent Magnet Synchronous Motors Using Different Machine Learning Techniques for Early Failure Detection
Emrah Aslan
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2024)
Open Access | Times Cited: 3
Detection and Determination of User Position Using Radio Tomography with Optimal Energy Consumption of Measuring Devices in Smart Buildings
Michał Styła, Edward Kozłowski, Paweł Tchórzewski, et al.
Energies (2024) Vol. 17, Iss. 11, pp. 2757-2757
Open Access | Times Cited: 2
Enhanced Indoor Positioning System Using Ultra-Wideband Technology and Machine Learning Algorithms for Energy-Efficient Warehouse Management
Dominik Gnaś, Dariusz Majerek, Michał Styła, et al.
Energies (2024) Vol. 17, Iss. 16, pp. 4125-4125
Open Access | Times Cited: 2
Analytical Approach for Forecasting the Load Capacity of the EN AW-7075-T6 Aluminum Alloy Joints Created Using RFSSW Technology
R. Kluz, Magdalena Bucior, Andrzej Kubit, et al.
Materials (2024) Vol. 17, Iss. 7, pp. 1529-1529
Open Access | Times Cited: 1
Gearbox fault identification using auto-encoder without training data from the damaged machine
Paweł Pawlik, Konrad Kania, Bartosz Przysucha
Measurement (2024), pp. 115805-115805
Open Access | Times Cited: 1
Algorithms for Optimizing Energy Consumption for Fermentation Processes in Biogas Production
Grzegorz Rybak, Edward Kozłowski, Krzysztof Król, et al.
Energies (2023) Vol. 16, Iss. 24, pp. 7972-7972
Open Access | Times Cited: 2
Neural net monitoring of signals parameters during the induction motors run-out
О. В. Андреев, V. G. Grigoriev, G. V. Malinin, et al.
(2024), pp. 5-5
Closed Access
MONITORING OF NON-STATIONARY SIGNALS WITH MINIMAL DELAY: NEURAL NETWORK IMPLEMENTATION
Oleg N. Andreev, В. В. Андреев, N. V. Russova, et al.
Vestnik Chuvashskogo universiteta (2024), Iss. 2, pp. 5-14
Open Access
Condition Monitoring Using a Latent Space of Variational Autoencoder Trained Only on a Healthy Machine
Iwona Komorska, Andrzej Puchalski
Sensors (2024) Vol. 24, Iss. 21, pp. 6825-6825
Open Access
50 Years of scientific thought on Machine Diagnostics in PolanD anD its influence on MaritiMe aPPlications
Grzegorz Klekot, Zbigniew Dąbrowski, J. Dziurdź
Polish Maritime Research (2024) Vol. 31, Iss. 4, pp. 161-173
Open Access
Rotating Machinery Fault Identification Using Auto-Encoder Without Training Data from the Damaged Machine
Paweł Pawlik, Konrad Kania, Bartosz Przysucha
(2023)
Closed Access
Reconstruction-based stacked sparse auto-encoder for nonlinear industrial process fault diagnosis
Qihang Weng, Shaojun Ren, Baoyu Zhu, et al.
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2023) Vol. 26, Iss. 1
Open Access
Advancing Bearing Fault Diagnosis under Variable Working Conditions: A CEEMDAN-SBS Approach with Vibro-Electric Signal Integration
Abdel wahhab Lourari, Abdenour Soualhi, Tarak BENKEDJOUH
Research Square (Research Square) (2023)
Open Access
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