Jamel Baili

1.3k total citations
58 papers, 871 citations indexed

About

Jamel Baili is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Neurology. According to data from OpenAlex, Jamel Baili has authored 58 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 8 papers in Neurology. Recurrent topics in Jamel Baili's work include Brain Tumor Detection and Classification (8 papers), Fractional Differential Equations Solutions (7 papers) and Nonlinear Waves and Solitons (5 papers). Jamel Baili is often cited by papers focused on Brain Tumor Detection and Classification (8 papers), Fractional Differential Equations Solutions (7 papers) and Nonlinear Waves and Solitons (5 papers). Jamel Baili collaborates with scholars based in Saudi Arabia, Pakistan and Tunisia. Jamel Baili's co-authors include Hijaz Ahmad, Aysha Rehman, Kamel Besbes, Samer Lahouar, Tuan Nguyen Gia, Imad L. Al‐Qadi, Mehrez Marzougui, Muhammad Attique Khan, Muhammad Naveed Khan and Shafiq Ahmad and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Jamel Baili

42 papers receiving 837 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jamel Baili Saudi Arabia 18 242 176 139 134 133 58 871
Luis E. Suárez Puerto Rico 21 50 0.2× 180 1.0× 234 1.7× 78 0.6× 123 0.9× 64 1.5k
Abolhassan Razminia Iran 16 72 0.3× 144 0.8× 49 0.4× 48 0.4× 237 1.8× 58 775
Elena Atroshchenko Australia 22 266 1.1× 328 1.9× 770 5.5× 101 0.8× 19 0.1× 65 2.1k
Robert Hanus Poland 22 627 2.6× 323 1.8× 104 0.7× 79 0.6× 13 0.1× 101 1.6k
Bo Yu China 21 128 0.5× 180 1.0× 343 2.5× 65 0.5× 15 0.1× 102 1.3k
Mohammad Rahimian Iran 23 74 0.3× 261 1.5× 154 1.1× 18 0.1× 120 0.9× 101 1.6k
Hongzhe Dai China 24 47 0.2× 94 0.5× 31 0.2× 56 0.4× 91 0.7× 57 1.6k
Lihua Wang China 19 61 0.3× 188 1.1× 254 1.8× 30 0.2× 65 0.5× 65 1.1k
P. C. Hughes Canada 25 248 1.0× 343 1.9× 179 1.3× 98 0.7× 20 0.2× 83 3.2k
Guanying Huo China 14 54 0.2× 102 0.6× 91 0.7× 244 1.8× 27 0.2× 63 705

Countries citing papers authored by Jamel Baili

Since Specialization
Citations

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

Fields of papers citing papers by Jamel Baili

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jamel Baili

This figure shows the co-authorship network connecting the top 25 collaborators of Jamel Baili. A scholar is included among the top collaborators of Jamel Baili 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 Jamel Baili. Jamel Baili 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.
Kryvinska, Natalia, et al.. (2026). Quantum transfer learning for cross-domain cybersecurity threat detection and categorization. Scientific Reports. 16(1).
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Hou, Lei, et al.. (2025). Endmember-Free Hyperspectral Unmixing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 23912–23924.
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Alsubai, Shtwai, Stephen Ojo, Mohamed Arselene Ayari, et al.. (2025). Transfer deep learning and explainable AI framework for brain tumor and Alzheimer's detection across multiple datasets. Frontiers in Medicine. 12. 1618550–1618550.
7.
Hasan, Mohammad Kamrul, et al.. (2025). A Real-Time Monitoring of Communication Protocols in 6G Mobile Network Consumer Electronics Applications Using Intelligent Surface and Internet of Things. IEEE Transactions on Consumer Electronics. 71(3). 8603–8616.
8.
Chauhdary, Sohaib Tahir, et al.. (2025). Microgrid anti islanding protection scheme based on deep neural network algorithm and unscented Kalman filtering. Scientific Reports. 15(1). 28726–28726.
9.
Jabeen, Kiran, Muhammad Attique Khan, Robertas Damaševičius, et al.. (2024). An intelligent healthcare framework for breast cancer diagnosis based on the information fusion of novel deep learning architectures and improved optimization algorithm. Engineering Applications of Artificial Intelligence. 137. 109152–109152. 13 indexed citations
10.
Kim, Tae‐Hoon, Mobeen Shahroz, Bayan Alabdullah, et al.. (2024). ANFIS Fuzzy convolutional neural network model for leaf disease detection. Frontiers in Plant Science. 15. 1465960–1465960. 5 indexed citations
11.
Baili, Jamel, et al.. (2023). An efficient implementation of traffic signs recognition system using CNN. Microprocessors and Microsystems. 98. 104791–104791. 14 indexed citations
12.
Nawaz, Marriam, Tahira Nazir, Jamel Baili, et al.. (2023). CXray-EffDet: Chest Disease Detection and Classification from X-ray Images Using the EfficientDet Model. Diagnostics. 13(2). 248–248. 33 indexed citations
13.
Masood, Anum, Nouf Abdullah Almujally, Jamel Baili, et al.. (2023). BRMI-Net: Deep Learning Features and Flower Pollination-Controlled Regula Falsi-Based Feature Selection Framework for Breast Cancer Recognition in Mammography Images. Diagnostics. 13(9). 1618–1618. 12 indexed citations
14.
Almadhor, Ahmad, Gabriel Avelino Sampedro, Mideth Abisado, et al.. (2023). Wrist-Based Electrodermal Activity Monitoring for Stress Detection Using Federated Learning. Sensors. 23(8). 3984–3984. 17 indexed citations
15.
Khan, Naveed, Zubair Ahmad, Saqib Murtaza, et al.. (2023). Dynamics of chaotic system based on circuit design with Ulam stability through fractal-fractional derivative with power law kernel. Scientific Reports. 13(1). 5043–5043. 17 indexed citations
16.
Khan, Muhammad Attique, Reham R. Mostafa, Yudong Zhang, et al.. (2023). Deep-Net: Fine-Tuned Deep Neural Network Multi-Features Fusion for Brain Tumor Recognition. Computers, materials & continua/Computers, materials & continua (Print). 76(3). 3029–3047. 9 indexed citations
17.
Baili, Jamel, et al.. (2022). Experiments and predictive modeling of optimized fiber-reinforced concrete columns having FRP rebars and hoops. Mechanics of Advanced Materials and Structures. 30(23). 4913–4932. 34 indexed citations
18.
Derdour, A., Noureddine Kaid, Jamel Baili, et al.. (2022). Assessment of the impacts of climate change on drought in an arid area using drought indices and Landsat remote sensing data. International Journal of Low-Carbon Technologies. 17. 1459–1469. 6 indexed citations
19.
Baili, Jamel, et al.. (2022). Improving Medical Video Coding Using Multi Scale Quincunx Lattice: From Low Bitrate to High Quality. Traitement du signal. 39(4). 1191–1202. 2 indexed citations
20.
Marzougui, Mehrez, Areej Alasiry, Yassin Kortli, & Jamel Baili. (2020). A Lane Tracking Method Based on Progressive Probabilistic Hough Transform. IEEE Access. 8. 84893–84905. 51 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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