Ridha Ejbali

1.3k total citations
95 papers, 837 citations indexed

About

Ridha Ejbali is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Ridha Ejbali has authored 95 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Computer Vision and Pattern Recognition, 33 papers in Artificial Intelligence and 16 papers in Signal Processing. Recurrent topics in Ridha Ejbali's work include Image Retrieval and Classification Techniques (13 papers), Anomaly Detection Techniques and Applications (12 papers) and Advanced Image and Video Retrieval Techniques (12 papers). Ridha Ejbali is often cited by papers focused on Image Retrieval and Classification Techniques (13 papers), Anomaly Detection Techniques and Applications (12 papers) and Advanced Image and Video Retrieval Techniques (12 papers). Ridha Ejbali collaborates with scholars based in Tunisia, Saudi Arabia and Sweden. Ridha Ejbali's co-authors include Mourad Zaied, Chokri Ben Amar, Monia Hamdi, Chokri Ben Amar, Mohamed Wiem Mkaouer, Makram Soui, Olfa Jemai, Najib Ben Aoun, Noureddine Boujnah and Amel Ali Alhussan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Ridha Ejbali

88 papers receiving 797 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ridha Ejbali Tunisia 15 481 287 157 87 84 95 837
Xuhui Chen China 16 256 0.5× 377 1.3× 176 1.1× 64 0.7× 82 1.0× 68 816
Rehan Ashraf Pakistan 19 666 1.4× 187 0.7× 130 0.8× 53 0.6× 65 0.8× 42 974
Jie Ling China 14 247 0.5× 302 1.1× 212 1.4× 49 0.6× 106 1.3× 73 739
Mahua Bhattacharya India 15 273 0.6× 242 0.8× 156 1.0× 101 1.2× 53 0.6× 104 723
Hesham Alhumyani Saudi Arabia 20 339 0.7× 292 1.0× 287 1.8× 265 3.0× 47 0.6× 64 1.2k
Yimu Ji China 16 406 0.8× 218 0.8× 76 0.5× 32 0.4× 56 0.7× 116 751
Jixin Ma United Kingdom 14 301 0.6× 342 1.2× 132 0.8× 34 0.4× 97 1.2× 104 759
Yifeng Zhang China 15 356 0.7× 307 1.1× 209 1.3× 66 0.8× 60 0.7× 66 875
Hamidreza Rashidy Kanan Iran 17 521 1.1× 314 1.1× 32 0.2× 41 0.5× 131 1.6× 56 853
Qingtao Wu China 17 180 0.4× 340 1.2× 472 3.0× 125 1.4× 47 0.6× 135 995

Countries citing papers authored by Ridha Ejbali

Since Specialization
Citations

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

Fields of papers citing papers by Ridha Ejbali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ridha Ejbali

This figure shows the co-authorship network connecting the top 25 collaborators of Ridha Ejbali. A scholar is included among the top collaborators of Ridha Ejbali 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 Ridha Ejbali. Ridha Ejbali 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.
Hamed, Dhafar, et al.. (2025). Comorbidity diagnosis using machine learning: Fuzzy decision-making approach. Journal of Intelligent Systems. 34(1).
2.
Ejbali, Ridha, et al.. (2025). Enhancing breast cancer classification using a deep sparse wavelet autoencoder approach. Scientific Reports. 15(1). 26194–26194.
3.
Aoun, Najib Ben, et al.. (2024). DenseViT-XGB: A hybrid approach for dates varieties identification. Neurocomputing. 596. 127976–127976. 6 indexed citations
4.
Hamdi, Monia, et al.. (2024). An adversarial environment reinforcement learning-driven intrusion detection algorithm for Internet of Things. EURASIP Journal on Wireless Communications and Networking. 2024(1). 9 indexed citations
5.
Ejbali, Ridha, et al.. (2024). Auto-authentication watermarking scheme based on CNN and perceptual hash function in the wavelet domain. Multimedia Tools and Applications. 83(21). 60079–60101. 2 indexed citations
6.
Ksibi, Amel, et al.. (2024). Empowering e-learning approach by the use of federated edge computing. Cluster Computing. 27(10). 13737–13748. 1 indexed citations
7.
Hamed, Dhafar, et al.. (2024). Enhancing Comorbidity Diagnosis with Adversarial Ensemble Learning. 381–386.
8.
Alhussan, Amel Ali, et al.. (2024). A mobile Deep Sparse Wavelet autoencoder for Arabic acoustic unit modeling and recognition. Heliyon. 10(4). e26583–e26583. 1 indexed citations
9.
Alturki, Nazik, et al.. (2024). Innovative Feature Extraction and Machine Learning Joint Approaches for Automated Detection of Focal Cortical Dysplasia Type II. IEEE Access. 12. 143544–143553. 2 indexed citations
10.
Ejbali, Ridha, et al.. (2024). Towards multi-agent system for learning object recommendation. Heliyon. 10(20). e39088–e39088. 1 indexed citations
11.
Ejbali, Ridha, et al.. (2023). A two-stream abnormal detection using a cascade of extreme learning machines and stacked auto encoder. Multimedia Tools and Applications. 82(25). 38743–38770. 6 indexed citations
12.
13.
Ejbali, Ridha, et al.. (2022). A new approach for integrating data into big data warehouse. 28–28. 3 indexed citations
14.
Ejbali, Ridha, et al.. (2017). Sensor Node Deployment Approach in Wireless Sensor Network Based on Multi-objective Flower Pollination Algorithm. SHILAP Revista de lepidopterología. 4 indexed citations
15.
Ejbali, Ridha, et al.. (2017). A Hybrid System Based on Wrinkles Shapes and Biometric Distances for Emotion Recognition. Advances in Computer-Human Interaction. 206–211. 1 indexed citations
16.
Ejbali, Ridha, et al.. (2017). Human Activities Recognition in Smart Homes Using Stacked Autoencoders. Advances in Computer-Human Interaction. 176–180. 3 indexed citations
17.
Ejbali, Ridha, et al.. (2017). Hybrid approach for detection of dental caries based on the methods FCM and level sets. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10341. 103411V–103411V. 1 indexed citations
18.
Ejbali, Ridha, et al.. (2016). 3D Human Heart Anatomy : Simulation and Visualization Based on MR Images. International Conference on Software Engineering Advances. 212–216. 1 indexed citations
19.
Ejbali, Ridha, et al.. (2016). Detection and Classification of Dental Caries in X-ray Images Using Deep Neural Networks. International Conference on Software Engineering Advances. 223–227. 26 indexed citations
20.
Ejbali, Ridha, et al.. (2011). A Neural Principal Component Analysis for text based documents keywords extraction. 3. 112–115. 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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