Bouchaib Cherradi

2.8k total citations
121 papers, 1.7k citations indexed

About

Bouchaib Cherradi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Bouchaib Cherradi has authored 121 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Artificial Intelligence, 30 papers in Computer Vision and Pattern Recognition and 25 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Bouchaib Cherradi's work include Artificial Intelligence in Healthcare (21 papers), AI in cancer detection (17 papers) and COVID-19 diagnosis using AI (14 papers). Bouchaib Cherradi is often cited by papers focused on Artificial Intelligence in Healthcare (21 papers), AI in cancer detection (17 papers) and COVID-19 diagnosis using AI (14 papers). Bouchaib Cherradi collaborates with scholars based in Morocco, Portugal and France. Bouchaib Cherradi's co-authors include Abdelhadi Raihani, Soufiane Hamida, Oussama El Gannour, Omar Bouattane, Oumaima Terrada, Amal Tmiri, Hassan Ouajji, Mohamed Youssfi, Lhoussain Bahatti and Mohammed Al-Sarem and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain Research and IEEE Access.

In The Last Decade

Bouchaib Cherradi

107 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bouchaib Cherradi Morocco 29 782 413 354 291 227 121 1.7k
Abdelhadi Raihani Morocco 26 487 0.6× 235 0.6× 194 0.5× 176 0.6× 128 0.6× 132 1.5k
F. M. Javed Mehedi Shamrat Bangladesh 21 679 0.9× 466 1.1× 189 0.5× 487 1.7× 148 0.7× 67 1.6k
Murat Karabatak Türkiye 13 702 0.9× 304 0.7× 306 0.9× 154 0.5× 101 0.4× 77 1.4k
Soufiane Hamida Morocco 21 450 0.6× 236 0.6× 171 0.5× 133 0.5× 108 0.5× 66 886
Omar Bouattane Morocco 18 342 0.4× 193 0.5× 190 0.5× 151 0.5× 92 0.4× 153 1.1k
T R Mahesh India 21 529 0.7× 309 0.7× 235 0.7× 169 0.6× 180 0.8× 163 1.4k
Muhammad Hammad Memon China 15 586 0.7× 200 0.5× 130 0.4× 554 1.9× 57 0.3× 35 1.2k
V. Vinoth Kumar India 21 435 0.6× 194 0.5× 142 0.4× 119 0.4× 136 0.6× 75 1.1k
Ahmed M. Anter Egypt 18 463 0.6× 245 0.6× 307 0.9× 39 0.1× 124 0.5× 52 1.1k
Azhar Imran Pakistan 21 447 0.6× 573 1.4× 310 0.9× 134 0.5× 160 0.7× 75 1.3k

Countries citing papers authored by Bouchaib Cherradi

Since Specialization
Citations

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

Fields of papers citing papers by Bouchaib Cherradi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bouchaib Cherradi

This figure shows the co-authorship network connecting the top 25 collaborators of Bouchaib Cherradi. A scholar is included among the top collaborators of Bouchaib Cherradi 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 Bouchaib Cherradi. Bouchaib Cherradi 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.
Cherradi, Bouchaib, et al.. (2025). Optimisation des modes d’apprentissage à l’ère de l’Intelligence Artificielle : Quelle Synérgie ?. SHS Web of Conferences. 214. 1013–1013.
2.
Gannour, Oussama El, et al.. (2025). Fuzzy based system for coronary artery disease prediction using subtractive clustering and risk factors data. Intelligence-Based Medicine. 11. 100208–100208. 1 indexed citations
3.
Hamida, Soufiane, et al.. (2024). AIoT-based embedded systems optimization using feature selection for Parkinson's disease diagnosis through speech disorders. Intelligence-Based Medicine. 10. 100184–100184. 2 indexed citations
4.
Gannour, Oussama El, et al.. (2024). Vulnerability in MobileNet: Case of Diabetes Retinopathy Prediction. 4. 1–6. 1 indexed citations
5.
Cherradi, Bouchaib, et al.. (2024). Enhancing learner performance prediction on online platforms using machine learning algorithms. Indonesian Journal of Electrical Engineering and Computer Science. 35(1). 343–343. 1 indexed citations
7.
8.
Cherradi, Bouchaib, Oussama El Gannour, Wamda Nagmeldin, et al.. (2023). A Novel Explainable CNN Model for Screening COVID-19 on X-ray Images. Computer Systems Science and Engineering. 46(2). 1789–1809. 2 indexed citations
10.
Hamida, Soufiane, et al.. (2023). Classifying Brain Tumors using Convolutional Neural Networks on MRI Scans. 1–7. 3 indexed citations
11.
Raihani, Abdelhadi, et al.. (2023). Parkinson’s diagnosis hybrid system based on deep learning classification with imbalanced dataset. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 13(3). 3204–3204. 11 indexed citations
12.
Cherradi, Bouchaib, et al.. (2023). Classifying toxicity in the Arabic Moroccan dialect on Instagram: a machine and deep learning approach. Indonesian Journal of Electrical Engineering and Computer Science. 31(1). 588–588. 5 indexed citations
13.
Hamida, Soufiane, et al.. (2023). Integrating GIS Data with Machine Learning Approaches for Improved Flood Hazard Prediction. 1–7. 1 indexed citations
14.
Gannour, Oussama El, et al.. (2023). Improving skin diseases prediction through data balancing via classes weighting and transfer learning. Bulletin of Electrical Engineering and Informatics. 13(1). 628–637. 8 indexed citations
15.
Cherradi, Bouchaib, et al.. (2023). A comprehensive survey on blockchain-based healthcare industry: applications and challenges. Indonesian Journal of Electrical Engineering and Computer Science. 30(3). 1558–1558. 6 indexed citations
16.
Hamida, Soufiane, et al.. (2023). Improved Multiclass Brain Tumor Detection using Convolutional Neural Networks and Magnetic Resonance Imaging. International Journal of Advanced Computer Science and Applications. 14(3). 48 indexed citations
17.
Hamida, Soufiane, Oussama El Gannour, Bouchaib Cherradi, Hassan Ouajji, & Abdelhadi Raihani. (2022). Efficient feature descriptor selection for improved Arabic handwritten words recognition. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 12(5). 5304–5304. 25 indexed citations
18.
Hamida, Soufiane, et al.. (2021). A Novel COVID-19 Diagnosis Support System Using the Stacking Approach and Transfer Learning Technique on Chest X-Ray Images. Journal of Healthcare Engineering. 2021. 1–17. 31 indexed citations
19.
Raihani, Abdelhadi, et al.. (2021). A Novel Approach for Parkinson’s Disease Detection Based on Voice Classification and Features Selection Techniques. International Journal of Online and Biomedical Engineering (iJOE). 17(10). 111–130. 34 indexed citations
20.
Terrada, Oumaima, Bouchaib Cherradi, Abdelhadi Raihani, & Omar Bouattane. (2020). A novel medical diagnosis support system for predicting patients with atherosclerosis diseases. Informatics in Medicine Unlocked. 21. 100483–100483. 32 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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