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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:

Anomaly detection method based on the deep knowledge behind behavior patterns in industrial components. Application to a hydropower plant
Pablo Calvo-Bascones, Miguel Á. Sanz-Bobi, Thomas Michael Welte
Computers in Industry (2020) Vol. 125, pp. 103376-103376
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

K-Means and Alternative Clustering Methods in Modern Power Systems
Seyed Mahdi Miraftabzadeh, Cristian Giovanni Colombo, Michela Longo, et al.
IEEE Access (2023) Vol. 11, pp. 119596-119633
Open Access | Times Cited: 46
Deep attention SMOTE: Data augmentation with a learnable interpolation factor for imbalanced anomaly detection of gas turbines
Dan Liu, Shisheng Zhong, Lin Lin, et al.
Computers in Industry (2023) Vol. 151, pp. 103972-103972
Closed Access | Times Cited: 29
A collaborative network of digital twins for anomaly detection applications of complex systems. Snitch Digital Twin concept
Pablo Calvo-Bascones, Alexandre Voisin, Phuc Do, et al.
Computers in Industry (2022) Vol. 144, pp. 103767-103767
Open Access | Times Cited: 29
Efficiency Monitoring of a Cooling Water Pump based on Machine Learning Techniques
Marta Casero, Miguel Á. Sanz-Bobi, F. Javier Bellido-López, et al.
International Journal of Prognostics and Health Management (2025) Vol. 16, Iss. 1
Open Access
A Machine Learning Modeling Framework for Predictive Maintenance Based on Equipment Load Cycle: An Application in a Real World Case
Arnaldo Rabello de Aguiar Vallim Filho, Daniel Farina Moraes, Marco Vinicius Bhering de Aguiar Vallim, et al.
Energies (2022) Vol. 15, Iss. 10, pp. 3724-3724
Open Access | Times Cited: 19
Anomaly Detection in Industrial Machinery Using IoT Devices and Machine Learning: A Systematic Mapping
Sérgio F. Chevtchenko, Élisson da Silva Rocha, Monalisa Cristina Moura Dos Santos, et al.
IEEE Access (2023) Vol. 11, pp. 128288-128305
Open Access | Times Cited: 11
Sensors Data Analysis in Supervisory Control and Data Acquisition (SCADA) Systems to Foresee Failures with an Undetermined Origin
F.J. Maseda, Iker Gómez López, Itziar Martija, et al.
Sensors (2021) Vol. 21, Iss. 8, pp. 2762-2762
Open Access | Times Cited: 23
An anomalous sound detection methodology for predictive maintenance
E. Fiore, Antonino Ferraro, Antonio Galli, et al.
Expert Systems with Applications (2022) Vol. 209, pp. 118324-118324
Closed Access | Times Cited: 18
Anomaly detection for hydropower turbine unit based on variational modal decomposition and deep autoencoder
Hongteng Wang, Xuewei Liu, Liyong Ma, et al.
Energy Reports (2021) Vol. 7, pp. 938-946
Open Access | Times Cited: 22
Towards more accurate and explainable supervised learning-based prediction of deliverability for underground natural gas storage
Aliyuda Ali, Kachalla Aliyuda, Nouh Sabri Elmitwally, et al.
Applied Energy (2022) Vol. 327, pp. 120098-120098
Open Access | Times Cited: 14
A novel approach for the detection of anomalous energy consumption patterns in industrial cyber‐physical systems
Izaskun Mendia, Sergio Gil-López, I. Grau, et al.
Expert Systems (2022) Vol. 41, Iss. 2
Closed Access | Times Cited: 13
An effective intrusion-resilient mechanism for programmable logic controllers against data tampering attacks
Kai Yang, Haining Wang, Haining Wang, et al.
Computers in Industry (2022) Vol. 138, pp. 103613-103613
Closed Access | Times Cited: 12
Anomaly detection for hydropower turbine based on variational modal decomposition and hierarchical temporal memory
Tianyuan Ma, Ziyuan Zhu, Lianfang Wang, et al.
Energy Reports (2022) Vol. 8, pp. 1546-1551
Open Access | Times Cited: 7
Opt-TCAE: Optimal temporal convolutional auto-encoder for boiler tube leakage detection in a thermal power plant using multi-sensor data
Hyeongmin Kim, Jin Uk Ko, Kyumin Na, et al.
Expert Systems with Applications (2022) Vol. 215, pp. 119377-119377
Closed Access | Times Cited: 7
A Systematic Literature Review of Unsupervised Fault Detection Approach for Complex Engineering System
Nur Maisarah Mohd Sobran, Zool Hilmi Ismail
Journal of Advanced Research in Applied Mechanics (2023) Vol. 103, Iss. 1, pp. 43-60
Open Access | Times Cited: 3
Advanced Prognosis methodology based on behavioral indicators and Chained Sequential Memory Neural Networks with a diesel engine application
Pablo Calvo-Bascones, Miguel Á. Sanz-Bobi
Computers in Industry (2022) Vol. 144, pp. 103771-103771
Open Access | Times Cited: 5
The Unknown Abnormal Condition Monitoring Method for Pumped-Storage Hydroelectricity
Jun Lee, Kiyoung Kim, Hoon Sohn
Sensors (2023) Vol. 23, Iss. 14, pp. 6336-6336
Open Access | Times Cited: 2
Anomaly Detection in Power Markets and Systems
Ugur Halden, Ümit Cali, Ferhat Özgür Çatak, et al.
2021 IEEE Power & Energy Society General Meeting (PESGM) (2023), pp. 1-5
Open Access | Times Cited: 2
Clustering at the Disposal of Industry 4.0: Automatic Extraction of Plant Behaviors
Dylan Molinié, Kurosh Madani, Véronique Amarger
Sensors (2022) Vol. 22, Iss. 8, pp. 2939-2939
Open Access | Times Cited: 3
Forecasting Telecommunication Network States on the Basis of Log Patterns Analysis and Knowledge Graphs Modeling
Kirill Krinkin, Alexander Vodyaho, Igor Kulikov, et al.
International Journal of Embedded and Real-Time Communication Systems (2022) Vol. 13, Iss. 1, pp. 1-27
Closed Access | Times Cited: 3
Research on Pedestrian Intrusion Detection Method in Coal Mine Based on Deep Learning
Haidi Yuan, Wenjing Liu
(2024), pp. 169-183
Closed Access
Monitoring socioeconomic readiness for the demographic transition: introducing the Senior Economy Tracker
David Roch-Dupré, Elisa Aracil, Pablo Calvo-Bascones
Structural Change and Economic Dynamics (2024) Vol. 71, pp. 430-443
Open Access
Evaluating Deep Learning Networks Versus Hybrid Network for Smart Monitoring of Hydropower Plants
Fatemeh Hajimohammadali, Emanuele Crisostomi, Mauro Tucci, et al.
Energies (2024) Vol. 17, Iss. 22, pp. 5670-5670
Open Access
Multi-objective energy dispatch with deep reinforcement learning for wind–solar–thermal–storage hybrid systems
Ziwei Wang, Yan Ma, Jingjing Xie, et al.
Journal of Energy Storage (2024) Vol. 105, pp. 114635-114635
Closed Access
3D objects descriptors method for fault detection in a multi sensors context
François Meunier, Selma Khebbache
(2021), pp. 1-7
Closed Access | Times Cited: 1
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