Ons Aouedi

1.4k total citations · 2 hit papers
23 papers, 706 citations indexed

About

Ons Aouedi is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Ons Aouedi has authored 23 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 16 papers in Computer Networks and Communications and 5 papers in Information Systems. Recurrent topics in Ons Aouedi's work include Network Security and Intrusion Detection (12 papers), Internet Traffic Analysis and Secure E-voting (11 papers) and Privacy-Preserving Technologies in Data (7 papers). Ons Aouedi is often cited by papers focused on Network Security and Intrusion Detection (12 papers), Internet Traffic Analysis and Secure E-voting (11 papers) and Privacy-Preserving Technologies in Data (7 papers). Ons Aouedi collaborates with scholars based in France, Luxembourg and India. Ons Aouedi's co-authors include Kandaraj Piamrat, Alessio Sacco, Sweta Bhattacharya, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu, Gokul Yenduri, Guido Marchetto, Guillaume Müller, Kamal Singh and Mamoun Alazab and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, ACM Computing Surveys and IEEE Transactions on Industrial Informatics.

In The Last Decade

Ons Aouedi

20 papers receiving 686 citations

Hit Papers

Federated Learning for intrusion detection system: Concep... 2022 2026 2023 2024 2022 2024 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ons Aouedi France 11 425 419 113 102 91 23 706
Kandaraj Piamrat France 14 413 1.0× 556 1.3× 99 0.9× 136 1.3× 231 2.5× 42 858
Mikail Mohammed Salim South Korea 11 229 0.5× 315 0.8× 192 1.7× 122 1.2× 70 0.8× 17 535
Ahamed Aljuhani Saudi Arabia 17 350 0.8× 491 1.2× 177 1.6× 244 2.4× 60 0.7× 42 794
Hakima Ould‐Slimane Canada 9 526 1.2× 214 0.5× 139 1.2× 37 0.4× 142 1.6× 32 709
Zakaria Abou El Houda France 17 506 1.2× 577 1.4× 263 2.3× 192 1.9× 157 1.7× 38 927
Ferhat Özgür Çatak Norway 17 422 1.0× 254 0.6× 188 1.7× 203 2.0× 89 1.0× 61 741
Zuobin Xiong United States 10 395 0.9× 120 0.3× 80 0.7× 78 0.8× 71 0.8× 21 599
Aydın Çetin Türkiye 8 309 0.7× 269 0.6× 51 0.5× 108 1.1× 103 1.1× 35 679
Rajneesh Kumar India 14 302 0.7× 392 0.9× 155 1.4× 104 1.0× 149 1.6× 103 897
Xin Du China 11 201 0.5× 183 0.4× 161 1.4× 39 0.4× 68 0.7× 49 475

Countries citing papers authored by Ons Aouedi

Since Specialization
Citations

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

Fields of papers citing papers by Ons Aouedi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ons Aouedi

This figure shows the co-authorship network connecting the top 25 collaborators of Ons Aouedi. A scholar is included among the top collaborators of Ons Aouedi 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 Ons Aouedi. Ons Aouedi 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
2.
Piamrat, Kandaraj, et al.. (2025). TUNE-FL: Adaptive Semi-Synchronous Semi-Decentralized Federated Learning. Open Repository and Bibliography (University of Luxembourg). 1–6.
3.
Aouedi, Ons, et al.. (2025). Deep Learning on Network Traffic Prediction: Recent Advances, Analysis, and Future Directions. ACM Computing Surveys. 57(6). 1–37. 8 indexed citations
4.
Aouedi, Ons & Kandaraj Piamrat. (2024). SURFS: Sustainable IntrUsion Detection with HieraRchical Federated Spiking Neural Networks. SPIRE - Sciences Po Institutional REpository. 2173–2178. 3 indexed citations
5.
Piamrat, Kandaraj, et al.. (2024). FLEXIBLE: Forecasting Cellular Traffic by Leveraging Explicit Inductive Graph-Based Learning. SPIRE - Sciences Po Institutional REpository. 1–6.
6.
Aouedi, Ons & Kandaraj Piamrat. (2024). Toward a Scalable and Energy-Efficient Framework for Industrial Cloud-Edge-IoT Continuum. IEEE Internet of Things Magazine. 7(5). 14–20. 6 indexed citations
7.
Aouedi, Ons, et al.. (2024). METALS : seMi-supervised fEderaTed Active Learning for intrusion detection Systems. SPIRE - Sciences Po Institutional REpository. 1–6. 1 indexed citations
8.
Aouedi, Ons, Alessio Sacco, Latif U. Khan, Dinh C. Nguyen, & Mohsen Guizani. (2024). Federated Learning for Human Activity Recognition: Overview, Advances, and Challenges. IEEE Open Journal of the Communications Society. 5. 7341–7367. 7 indexed citations
9.
Aouedi, Ons, Thai-Hoc Vu, Alessio Sacco, et al.. (2024). A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions. IEEE Communications Surveys & Tutorials. 27(2). 1238–1292. 67 indexed citations breakdown →
10.
Aouedi, Ons & Kandaraj Piamrat. (2023). F-BIDS: Federated-Blending based Intrusion Detection System. Pervasive and Mobile Computing. 89. 101750–101750. 30 indexed citations
11.
12.
Aouedi, Ons, Kandaraj Piamrat, & Mario Südholt. (2023). HFedSNN: Efficient Hierarchical Federated Learning using Spiking Neural Networks. SPIRE - Sciences Po Institutional REpository. 53–60. 5 indexed citations
13.
Maddikunta, Praveen Kumar Reddy, Quoc‐Viet Pham, Dinh C. Nguyen, et al.. (2022). Incentive techniques for the Internet of Things: A survey. Journal of Network and Computer Applications. 206. 103464–103464. 54 indexed citations
14.
Agrawal, Shaashwat, Sagnik Sarkar, Ons Aouedi, et al.. (2022). Federated Learning for intrusion detection system: Concepts, challenges and future directions. Computer Communications. 195. 346–361. 223 indexed citations breakdown →
15.
Aouedi, Ons, Kandaraj Piamrat, & Benoît Parrein. (2022). Intelligent Traffic Management in Next-Generation Networks. Future Internet. 14(2). 44–44. 27 indexed citations
16.
Aouedi, Ons, Kandaraj Piamrat, Guillaume Müller, & Kamal Singh. (2022). Federated Semisupervised Learning for Attack Detection in Industrial Internet of Things. IEEE Transactions on Industrial Informatics. 19(1). 286–295. 92 indexed citations
17.
Aouedi, Ons, Alessio Sacco, Kandaraj Piamrat, & Guido Marchetto. (2022). Handling Privacy-Sensitive Medical Data With Federated Learning: Challenges and Future Directions. IEEE Journal of Biomedical and Health Informatics. 27(2). 790–803. 83 indexed citations
18.
Aouedi, Ons, Kandaraj Piamrat, Guillaume Müller, & Kamal Singh. (2022). Intrusion detection for Softwarized Networks with Semi-supervised Federated Learning. ICC 2022 - IEEE International Conference on Communications. 5244–5249. 17 indexed citations
19.
Aouedi, Ons, Kandaraj Piamrat, & Benoît Parrein. (2022). Ensemble-Based Deep Learning Model for Network Traffic Classification. IEEE Transactions on Network and Service Management. 19(4). 4124–4135. 23 indexed citations
20.
Aouedi, Ons, et al.. (2022). Handling partially labeled network data: A semi-supervised approach using stacked sparse autoencoder. Computer Networks. 207. 108742–108742. 8 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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