Yazan Otoum

738 total citations · 1 hit paper
17 papers, 488 citations indexed

About

Yazan Otoum is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Yazan Otoum has authored 17 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 9 papers in Artificial Intelligence and 7 papers in Signal Processing. Recurrent topics in Yazan Otoum's work include Network Security and Intrusion Detection (12 papers), Advanced Malware Detection Techniques (7 papers) and Privacy-Preserving Technologies in Data (5 papers). Yazan Otoum is often cited by papers focused on Network Security and Intrusion Detection (12 papers), Advanced Malware Detection Techniques (7 papers) and Privacy-Preserving Technologies in Data (5 papers). Yazan Otoum collaborates with scholars based in Canada, United States and India. Yazan Otoum's co-authors include Amiya Nayak, Dandan Liu, Vinay Chamola, Neeraj Kumar, Syed Muhammad Danish and Aris Leivadeas and has published in prestigious journals such as ACM Computing Surveys, Future Internet and IEEE Transactions on Network Science and Engineering.

In The Last Decade

Yazan Otoum

15 papers receiving 469 citations

Hit Papers

DL‐IDS: a deep learning–based intrusion detection framewo... 2019 2026 2021 2023 2019 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
Yazan Otoum Canada 10 401 297 227 67 50 17 488
İlhan Fırat Kılınçer Türkiye 7 328 0.8× 264 0.9× 178 0.8× 70 1.0× 21 0.4× 15 413
Kübra Kalkan Türkiye 11 548 1.4× 255 0.9× 159 0.7× 90 1.3× 46 0.9× 29 594
P. Arun Raj Kumar India 10 396 1.0× 261 0.9× 186 0.8× 82 1.2× 116 2.3× 31 479
S. Muthurajkumar India 10 325 0.8× 254 0.9× 104 0.5× 121 1.8× 48 1.0× 26 469
Basant Subba India 11 333 0.8× 273 0.9× 153 0.7× 80 1.2× 84 1.7× 23 457
Trung V. Phan Germany 13 471 1.2× 251 0.8× 150 0.7× 57 0.9× 62 1.2× 20 530
Abhinav Bhandari India 13 472 1.2× 287 1.0× 253 1.1× 105 1.6× 26 0.5× 42 561
Hadeel Alazzam Jordan 10 392 1.0× 331 1.1× 215 0.9× 90 1.3× 22 0.4× 26 515
Giampaolo Bovenzi Italy 10 423 1.1× 371 1.2× 208 0.9× 55 0.8× 36 0.7× 23 516
Muhammad Taimoor Khan Pakistan 8 244 0.6× 133 0.4× 126 0.6× 64 1.0× 27 0.5× 12 303

Countries citing papers authored by Yazan Otoum

Since Specialization
Citations

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

Fields of papers citing papers by Yazan Otoum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yazan Otoum

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

All Works

17 of 17 papers shown
3.
Otoum, Yazan, et al.. (2025). Blockchain Meets Adaptive Honeypots: A Trust-Aware Approach to Next-Gen IoT Security. IEEE Transactions on Network Science and Engineering. 13. 2270–2287. 1 indexed citations
5.
Otoum, Yazan & Amiya Nayak. (2025). Differential Privacy-Driven Framework for Enhancing Heart Disease Prediction. ArXiv.org. 5456–5462. 1 indexed citations
6.
Otoum, Yazan, et al.. (2024). Advancing IoMT Defenses: Deep Collaborative Learning for Robust Healthcare Security. 2966–2971. 3 indexed citations
7.
Otoum, Yazan, et al.. (2024). Machine Learning in Metaverse Security: Current Solutions and Future Challenges. ACM Computing Surveys. 56(8). 1–36. 22 indexed citations
8.
Otoum, Yazan, et al.. (2024). Enhancing Heart Disease Prediction with Federated Learning and Blockchain Integration. Future Internet. 16(10). 372–372. 11 indexed citations
9.
Otoum, Yazan, et al.. (2023). A Scalable Meta Learning-Based Model to Secure IoT Networks. IEEE Internet of Things Magazine. 6(2). 116–120. 5 indexed citations
10.
Otoum, Yazan, et al.. (2022). Transfer Learning-Driven Intrusion Detection for Internet of Vehicles (IoV). 2022 International Wireless Communications and Mobile Computing (IWCMC). 342–347. 24 indexed citations
11.
Otoum, Yazan, Vinay Chamola, & Amiya Nayak. (2022). Federated and Transfer Learning-Empowered Intrusion Detection for IoT Applications. IEEE Internet of Things Magazine. 5(3). 50–54. 20 indexed citations
12.
Otoum, Yazan, et al.. (2022). FTLIoT: A Federated Transfer Learning Framework for Securing IoT. GLOBECOM 2022 - 2022 IEEE Global Communications Conference. 10 indexed citations
13.
Otoum, Yazan & Amiya Nayak. (2021). AS-IDS: Anomaly and Signature Based IDS for the Internet of Things. Journal of Network and Systems Management. 29(3). 110 indexed citations
14.
Otoum, Yazan & Amiya Nayak. (2021). Signature-Over-The-Air with Transfer Learning IDS for Intelligent Connected Vehicles (ICV). 1–6. 13 indexed citations
15.
Otoum, Yazan, et al.. (2021). Federated Transfer Learning-Based IDS for the Internet of Medical Things (IoMT). 1–6. 29 indexed citations
16.
Otoum, Yazan & Amiya Nayak. (2020). On securing IoT from Deep Learning perspective. 1–7. 9 indexed citations
17.
Otoum, Yazan, Dandan Liu, & Amiya Nayak. (2019). DL‐IDS: a deep learning–based intrusion detection framework for securing IoT. Transactions on Emerging Telecommunications Technologies. 33(3). 229 indexed citations breakdown →

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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