Bilal Taghezouit

1.4k total citations
34 papers, 1.0k citations indexed

About

Bilal Taghezouit is a scholar working on Renewable Energy, Sustainability and the Environment, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Bilal Taghezouit has authored 34 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Renewable Energy, Sustainability and the Environment, 17 papers in Artificial Intelligence and 13 papers in Control and Systems Engineering. Recurrent topics in Bilal Taghezouit's work include Photovoltaic System Optimization Techniques (25 papers), Solar Radiation and Photovoltaics (17 papers) and Fault Detection and Control Systems (9 papers). Bilal Taghezouit is often cited by papers focused on Photovoltaic System Optimization Techniques (25 papers), Solar Radiation and Photovoltaics (17 papers) and Fault Detection and Control Systems (9 papers). Bilal Taghezouit collaborates with scholars based in Algeria, Saudi Arabia and France. Bilal Taghezouit's co-authors include Ying Sun, Fouzi Harrou, Samir Moulahoum, Abdelkader Dairi, Engin Karatepe, Aissa Chouder, Santiago Silvestre, Ahmed Saidi, Amar Hadj Arab and Abdelhakim Saim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Power Sources and Energy Conversion and Management.

In The Last Decade

Bilal Taghezouit

32 papers receiving 989 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bilal Taghezouit Algeria 16 686 475 402 255 115 34 1.0k
Mahmoud Dhimish United Kingdom 13 809 1.2× 430 0.9× 552 1.4× 133 0.5× 95 0.8× 14 1.0k
Ye Zhao United States 13 864 1.3× 434 0.9× 707 1.8× 269 1.1× 150 1.3× 23 1.2k
Jean-François de Palma United States 9 718 1.0× 379 0.8× 587 1.5× 251 1.0× 118 1.0× 13 1.0k
Siva Ramakrishna Madeti India 7 565 0.8× 317 0.7× 407 1.0× 143 0.6× 84 0.7× 8 738
Kun Ding China 17 654 1.0× 442 0.9× 574 1.4× 216 0.8× 63 0.5× 74 1.0k
Mark Dales United Kingdom 13 744 1.1× 350 0.7× 482 1.2× 114 0.4× 72 0.6× 15 867
Kamel Kara Algeria 16 707 1.0× 467 1.0× 622 1.5× 459 1.8× 103 0.9× 51 1.2k
Kuei‐Hsiang Chao Taiwan 22 716 1.0× 430 0.9× 999 2.5× 386 1.5× 240 2.1× 96 1.5k
Dhanup S. Pillai India 17 1.4k 2.0× 628 1.3× 1.1k 2.7× 237 0.9× 137 1.2× 28 1.7k
Azhar Ul-Haq Pakistan 17 370 0.5× 189 0.4× 727 1.8× 239 0.9× 324 2.8× 47 997

Countries citing papers authored by Bilal Taghezouit

Since Specialization
Citations

This map shows the geographic impact of Bilal Taghezouit'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 Bilal Taghezouit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bilal Taghezouit more than expected).

Fields of papers citing papers by Bilal Taghezouit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bilal Taghezouit. 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 Bilal Taghezouit. The network helps show where Bilal Taghezouit may publish in the future.

Co-authorship network of co-authors of Bilal Taghezouit

This figure shows the co-authorship network connecting the top 25 collaborators of Bilal Taghezouit. A scholar is included among the top collaborators of Bilal Taghezouit 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 Bilal Taghezouit. Bilal Taghezouit 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
1.
Belhaouas, Nasreddine, et al.. (2025). Analysis of the Relationship Between Photovoltaic Temperature Coefficients and Varying Solar Irradiance Levels. Journal of Renewable Energies. 103–111.
2.
Mellit, A., et al.. (2024). A simple non-parametric model for photovoltaic output power prediction. Renewable Energy. 240. 122183–122183. 7 indexed citations
3.
Harrou, Fouzi, et al.. (2024). Improved lithium-ion battery health prediction with data-based approach. SHILAP Revista de lepidopterología. 7. 100457–100457. 4 indexed citations
4.
Harrou, Fouzi, et al.. (2024). Automatic fault detection in grid-connected photovoltaic systems via variational autoencoder-based monitoring. Energy Conversion and Management. 314. 118665–118665. 20 indexed citations
5.
Taghezouit, Bilal, et al.. (2024). Model-based fault detection in photovoltaic systems: A comprehensive review and avenues for enhancement. Results in Engineering. 21. 101835–101835. 42 indexed citations
6.
Lekouaghet, Badis, et al.. (2024). Advanced parameter estimation for lithium-ion battery model using the information sharing group teaching optimization algorithm. Journal of Power Sources. 624. 235615–235615. 7 indexed citations
7.
Harrou, Fouzi, Bilal Taghezouit, Benamar Bouyeddou, & Ying Sun. (2023). Cybersecurity of photovoltaic systems: challenges, threats, and mitigation strategies: a short survey. Frontiers in Energy Research. 11. 12 indexed citations
8.
Harrou, Fouzi, Ying Sun, Bilal Taghezouit, & Abdelkader Dairi. (2023). Artificial Intelligence Techniques for Solar Irradiance and PV Modeling and Forecasting. Energies. 16(18). 6731–6731. 7 indexed citations
9.
Bouyeddou, Benamar, Fouzi Harrou, Bilal Taghezouit, Ying Sun, & Amar Hadj Arab. (2022). Improved Semi-Supervised Data-Mining-Based Schemes for Fault Detection in a Grid-Connected Photovoltaic System. Energies. 15(21). 7978–7978. 12 indexed citations
10.
Harrou, Fouzi, Bilal Taghezouit, Sofiane Khadraoui, et al.. (2022). Ensemble Learning Techniques-Based Monitoring Charts for Fault Detection in Photovoltaic Systems. Energies. 15(18). 6716–6716. 20 indexed citations
11.
Taghezouit, Bilal, Fouzi Harrou, Chérif Larbès, et al.. (2022). Intelligent Monitoring of Photovoltaic Systems via Simplicial Empirical Models and Performance Loss Rate Evaluation under LabVIEW: A Case Study. Energies. 15(21). 7955–7955. 8 indexed citations
12.
Harrou, Fouzi, Bilal Taghezouit, Benamar Bouyeddou, Ying Sun, & Amar Hadj Arab. (2021). Fault Detection in Solar PV Systems Using Hypothesis Testing. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 150. 1–6. 1 indexed citations
13.
Taghezouit, Bilal, Fouzi Harrou, Ying Sun, Amar Hadj Arab, & Chérif Larbès. (2020). A simple and effective detection strategy using double exponential scheme for photovoltaic systems monitoring. Solar Energy. 214. 337–354. 28 indexed citations
14.
15.
Harrou, Fouzi, Bilal Taghezouit, & Ying Sun. (2019). Improved $k$NN-Based Monitoring Schemes for Detecting Faults in PV Systems. IEEE Journal of Photovoltaics. 9(3). 811–821. 97 indexed citations
16.
Harrou, Fouzi, Bilal Taghezouit, & Ying Sun. (2018). Robust and flexible strategy for fault detection in grid-connected photovoltaic systems. Energy Conversion and Management. 180. 1153–1166. 59 indexed citations
17.
Moulahoum, Samir, et al.. (2018). An enhanced dynamic modeling of PV module using Levenberg-Marquardt algorithm. Renewable Energy. 135. 745–760. 45 indexed citations
18.
Harrou, Fouzi, Bilal Taghezouit, & Ying Sun. (2018). A robust monitoring technique for fault detection in grid-connected PV plants. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 173. 594–598. 5 indexed citations
19.
Arab, Amar Hadj, et al.. (2018). Performance degradation of photovoltaic modules at different sites. IOP Conference Series Earth and Environmental Science. 154. 12005–12005. 1 indexed citations
20.

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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