Radhia Fezai

681 total citations
31 papers, 506 citations indexed

About

Radhia Fezai is a scholar working on Control and Systems Engineering, Analytical Chemistry and Mechanical Engineering. According to data from OpenAlex, Radhia Fezai has authored 31 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Control and Systems Engineering, 15 papers in Analytical Chemistry and 14 papers in Mechanical Engineering. Recurrent topics in Radhia Fezai's work include Fault Detection and Control Systems (30 papers), Spectroscopy and Chemometric Analyses (15 papers) and Mineral Processing and Grinding (14 papers). Radhia Fezai is often cited by papers focused on Fault Detection and Control Systems (30 papers), Spectroscopy and Chemometric Analyses (15 papers) and Mineral Processing and Grinding (14 papers). Radhia Fezai collaborates with scholars based in Qatar, Tunisia and Kuwait. Radhia Fezai's co-authors include Majdi Mansouri, Mohamed Nounou, Hazem Nounou, Mohamed Faouzi Harkat, Mohamed Trabelsi, Khaled Dhibi, Abdelmalek Kouadri, Okba Taouali, Kais Bouzrara and Mansour Hajji and has published in prestigious journals such as IEEE Access, Energy and IEEE Sensors Journal.

In The Last Decade

Radhia Fezai

27 papers receiving 496 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Radhia Fezai Qatar	11	358	158	137	100	84	31	506
Khaled Dhibi Qatar	10	269 0.8×	65 0.4×	201 1.5×	134 1.3×	17 0.2×	21	467
Francesco Simmini Italy	9	165 0.5×	89 0.6×	78 0.6×	39 0.4×	17 0.2×	13	334
Khaoula Tidriri France	6	322 0.9×	132 0.8×	28 0.2×	9 0.1×	46 0.5×	11	392
Reza Sharifi Iran	12	240 0.7×	35 0.2×	298 2.2×	94 0.9×	16 0.2×	28	499
Ketan P. Detroja India	10	307 0.9×	82 0.5×	122 0.9×	25 0.3×	54 0.6×	41	393
Mehdi Forouzanfar Iran	10	186 0.5×	55 0.3×	152 1.1×	66 0.7×	14 0.2×	31	397
Michał Orkisz Poland	10	252 0.7×	134 0.8×	95 0.7×	27 0.3×	8 0.1×	30	362
Marcos Quiñones-Grueiro United States	9	211 0.6×	107 0.7×	38 0.3×	7 0.1×	26 0.3×	45	400
Kenneth R. Uren South Africa	11	176 0.5×	73 0.5×	162 1.2×	50 0.5×	18 0.2×	52	412
M. Ziyan Sheriff United States	9	236 0.7×	131 0.8×	20 0.1×	10 0.1×	70 0.8×	20	389

Countries citing papers authored by Radhia Fezai

Since Specialization

Citations

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

Fields of papers citing papers by Radhia Fezai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Radhia Fezai

This figure shows the co-authorship network connecting the top 25 collaborators of Radhia Fezai. A scholar is included among the top collaborators of Radhia Fezai 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 Radhia Fezai. Radhia Fezai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Mansouri, Majdi, Radhia Fezai, Mohamed Trabelsi, et al.. (2022). Enhanced Gaussian Process Regression for Diagnosing Wind Energy Conversion Systems. IFAC-PapersOnLine. 55(6). 673–678. 2 indexed citations

Mansouri, Majdi, Radhia Fezai, Mohamed Trabelsi, et al.. (2022). Fault Diagnosis of Wind Energy Conversion Systems Using Gaussian Process Regression-based Multi-Class Random Forest. IFAC-PapersOnLine. 55(6). 127–132. 4 indexed citations

Fezai, Radhia, et al.. (2022). Deep Learning for Fault Detection and Diagnosis: Application to Photovoltaic System. 2022 19th International Multi-Conference on Systems, Signals & Devices (SSD). 128. 829–834. 2 indexed citations

Fezai, Radhia, Kais Bouzrara, Majdi Mansouri, et al.. (2021). Random forest-based nonlinear improved feature extraction and selection for fault classification. 66. 601–606.

Fezai, Radhia, Kais Bouzrara, Majdi Mansouri, et al.. (2021). A Novel Leak Detection Approach in Water Distribution Networks. QRU Quaderns de Recerca en Urbanisme. 607–612.

Mansouri, Majdi, Radhia Fezai, Mohamed Trabelsi, et al.. (2021). Reduced Gaussian process regression based random forest approach for fault diagnosis of wind energy conversion systems. IET Renewable Power Generation. 15(15). 3612–3621. 16 indexed citations

Dhibi, Khaled, Radhia Fezai, Kais Bouzrara, et al.. (2021). Enhanced RF for Fault Detection and Diagnosis of Uncertain PV systems. 103–108. 3 indexed citations

Fezai, Radhia, Kais Bouzrara, Majdi Mansouri, et al.. (2021). Reduced GPR based RF Approach for Fault Diagnosis of Wind Energy Conversion Systems. 595–600. 2 indexed citations

Fezai, Radhia, Kamaleldin Abodayeh, Majdi Mansouri, et al.. (2020). Reliable Fault Detection and Diagnosis of Large-Scale Nonlinear Uncertain Systems Using Interval Reduced Kernel PLS. IEEE Access. 8. 78343–78353. 17 indexed citations

10.

Dhibi, Khaled, Radhia Fezai, Kais Bouzrara, et al.. (2020). Fault detection of uncertain nonlinear process using interval-valued data-driven approach. 585–590. 1 indexed citations

11.

Harkat, Mohamed Faouzi, Abdelmalek Kouadri, Radhia Fezai, et al.. (2020). Machine Learning-Based Reduced Kernel PCA Model for Nonlinear Chemical Process Monitoring. Journal of Control Automation and Electrical Systems. 31(5). 1196–1209. 28 indexed citations

12.

Dhibi, Khaled, Radhia Fezai, Kais Bouzrara, et al.. (2020). Machine Learning based Multiscale Reduced Kernel PCA for Nonlinear Process Monitoring. 4 indexed citations

13.

Fezai, Radhia, Kamaleldin Abodayeh, Majdi Mansouri, Hazem Nounou, & Mohamed Nounou. (2020). Fault diagnosis of biological systems using improved machine learning technique. International Journal of Machine Learning and Cybernetics. 12(2). 515–528. 7 indexed citations

14.

Mansouri, Majdi, Radhia Fezai, Mohamed Trabelsi, et al.. (2020). A Novel Fault Diagnosis of Uncertain Systems Based on Interval Gaussian Process Regression: Application to Wind Energy Conversion Systems. IEEE Access. 8. 219672–219679. 21 indexed citations

15.

Fezai, Radhia, et al.. (2019). Machine learning based Gaussian process regression for fault detection of Biological Systems. 174–179. 1 indexed citations

16.

Fezai, Radhia, Kamaleldin Abodayeh, Majdi Mansouri, Hazem Nounou, & Mohamed Nounou. (2019). Diagnosis of nonlinear systems using reduced kernel principal component analysis. 40. 1–6.

17.

Fezai, Radhia, Majdi Mansouri, Mohamed Trabelsi, et al.. (2019). Online reduced kernel GLRT technique for improved fault detection in photovoltaic systems. Energy. 179. 1133–1154. 30 indexed citations

18.

Fezai, Radhia, Majdi Mansouri, Kamaleldin Abodayeh, Hazem Nounou, & Mohamed Nounou. (2019). Online reduced gaussian process regression based generalized likelihood ratio test for fault detection. Journal of Process Control. 85. 30–40. 21 indexed citations

19.

Fezai, Radhia, et al.. (2018). Fault Diagnosis for Dynamic Nonlinear System Based on Variable Moving Window KPCA. 590–595. 1 indexed citations

20.

Fezai, Radhia, et al.. (2017). Online process monitoring based on kernel method. 44. 236–241. 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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