Ryad Zemouri

1.2k total citations
60 papers, 780 citations indexed

About

Ryad Zemouri is a scholar working on Control and Systems Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Ryad Zemouri has authored 60 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Control and Systems Engineering, 25 papers in Artificial Intelligence and 14 papers in Mechanical Engineering. Recurrent topics in Ryad Zemouri's work include Machine Fault Diagnosis Techniques (24 papers), Fault Detection and Control Systems (22 papers) and Neural Networks and Applications (15 papers). Ryad Zemouri is often cited by papers focused on Machine Fault Diagnosis Techniques (24 papers), Fault Detection and Control Systems (22 papers) and Neural Networks and Applications (15 papers). Ryad Zemouri collaborates with scholars based in France, Canada and Romania. Ryad Zemouri's co-authors include Noureddine Zerhouni, Daniel Racoceanu, Antoine Tahan, Rafael Gouriveau, Mélanie Lévesque, Marc Thomas, Kamran Javed, Arezki Merkhouf, N. Amyot and C. Hudon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Ryad Zemouri

57 papers receiving 741 citations

Peers

Ryad Zemouri
Rahul K. Sevakula India
Rui Yao China
Hongpeng Yin China
Hexuan Hu China
Jinhua Wang China
Pu Wang China
Cheng Shao China
Fulufhelo V. Nelwamondo South Africa
Rahul K. Sevakula India
Ryad Zemouri
Citations per year, relative to Ryad Zemouri Ryad Zemouri (= 1×) peers Rahul K. Sevakula

Countries citing papers authored by Ryad Zemouri

Since Specialization
Citations

This map shows the geographic impact of Ryad Zemouri's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ryad Zemouri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryad Zemouri more than expected).

Fields of papers citing papers by Ryad Zemouri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryad Zemouri. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ryad Zemouri. The network helps show where Ryad Zemouri may publish in the future.

Co-authorship network of co-authors of Ryad Zemouri

This figure shows the co-authorship network connecting the top 25 collaborators of Ryad Zemouri. A scholar is included among the top collaborators of Ryad Zemouri based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ryad Zemouri. Ryad Zemouri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Fofana, I., et al.. (2025). Optimizing deep learning predictive models: A comprehensive review of RNN and its variant architectures. Applied Soft Computing. 185. 114015–114015. 1 indexed citations
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Zemouri, Ryad, et al.. (2025). Prognostics of complex machinery with sparse multilabel multimodal run-to-failure data: A graph neural network approach. Advanced Engineering Informatics. 65. 103361–103361.
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Zemouri, Ryad. (2025). Power Transformer Prognostics and Health Management Using Machine Learning: A Review and Future Directions. Machines. 13(2). 125–125. 2 indexed citations
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Tahan, Antoine, et al.. (2024). Unleashing Artificial Intelligence: Monitoring and Diagnosing Large Hydrogenerators. IEEE Power and Energy Magazine. 22(6). 89–99. 1 indexed citations
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Zemouri, Ryad, et al.. (2024). Review of Artificial Intelligence Methods for Faults Monitoring, Diagnosis, and Prognosis in Hydroelectric Synchronous Generators. IEEE Access. 12. 173599–173617. 2 indexed citations
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Nguyen, Khanh T.P., et al.. (2024). Bridging expert knowledge and sensor measurements for machine fault quantification with large language models. Espace ÉTS (ETS). 530–535. 1 indexed citations
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Zemouri, Ryad, et al.. (2024). On the Use of Indirect Measurements in Virtual Sensors for Renewable Energies: A Review. Electronics. 13(8). 1545–1545. 2 indexed citations
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Zemouri, Ryad, et al.. (2023). Hydrogenerator early fault detection: Sparse Dictionary Learning jointly with the Variational Autoencoder. Engineering Applications of Artificial Intelligence. 120. 105859–105859. 31 indexed citations
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Merkhouf, Arezki, et al.. (2023). Field Winding Short Circuit Fault Signature Analysis in Stray Flux of large Hydrogenerator. Espace ÉTS (ETS). 2. 78–83. 1 indexed citations
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Zemouri, Ryad, et al.. (2023). Rotor Fault Diagnosis in a Hydrogenerator based on the Stator Vibration and the Variational Autoencoder. Espace ÉTS (ETS). 2. 1–7. 5 indexed citations
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Zemouri, Ryad, et al.. (2021). Generative Adversarial Networks used for latent space Optimization: a comparative study for the Classification of Partial Discharge Sources. PHM Society European Conference. 6(1). 10–10. 2 indexed citations
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Zemouri, Ryad, et al.. (2019). Intelligence artificielle : quel avenir en anatomie pathologique ?. Annales de Pathologie. 39(2). 119–129. 21 indexed citations
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Javed, Kamran, Rafael Gouriveau, Ryad Zemouri, & Noureddine Zerhouni. (2011). Improving data-driven prognostics by assessing predictability of features. Annual Conference of the PHM Society. 3(1). 12 indexed citations
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Zemouri, Ryad & Rafael Gouriveau. (2010). WITHDRAWN: Recurrent NARX time series model prediction: A feedforward and recurrent radial basis function network. Neural Networks. 2 indexed citations
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Zemouri, Ryad, et al.. (2010). Combining a recurrent neural network and a PID controller for prognostic purpose: a way to improve the accuracy of predictions. 5(5). 353–371. 7 indexed citations
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Zemouri, Ryad, et al.. (2003). Réseaux de neurones récurrents à fonctions de base radiales. Application à la surveillance dynamique. Journal Européen des Systèmes Automatisés. 37(1). 49–81. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026