Yalin E. Sagduyu

5.1k total citations
160 papers, 2.7k citations indexed

About

Yalin E. Sagduyu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Yalin E. Sagduyu has authored 160 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Computer Networks and Communications, 90 papers in Electrical and Electronic Engineering and 52 papers in Artificial Intelligence. Recurrent topics in Yalin E. Sagduyu's work include Cooperative Communication and Network Coding (49 papers), Wireless Networks and Protocols (34 papers) and Wireless Signal Modulation Classification (34 papers). Yalin E. Sagduyu is often cited by papers focused on Cooperative Communication and Network Coding (49 papers), Wireless Networks and Protocols (34 papers) and Wireless Signal Modulation Classification (34 papers). Yalin E. Sagduyu collaborates with scholars based in United States, Germany and Greece. Yalin E. Sagduyu's co-authors include Yi Shi, Anthony Ephremides, Tugba Erpek, Kemal Davaslıoğlu, Randall Berry, Şennur Ulukuş, Jason H. Li, Zhuo Lu, Aylin Yener and M. Cenk Gursoy and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Communications Surveys & Tutorials and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Yalin E. Sagduyu

154 papers receiving 2.6k citations

Peers

Yalin E. Sagduyu

CNC

EEE

AI

AE

SP

Salvatore D’Oro United States

Francesco Restuccia United States

Paolo Di Lorenzo Italy

Stefano Tomasin Italy

Paul Patras United Kingdom

Christina Pöpper United States

Walaa Hamouda Canada

Biao Chen United States

Qinghe Du China

Pinyi Ren China

Salvatore D’Oro United States

Yalin E. Sagduyu

1.5k ×0.9

CNC

1.5k ×1.1

EEE

758 ×0.7

AI

336 ×0.9

AE

250 ×0.9

SP

Citations per year, relative to Yalin E. Sagduyu Yalin E. Sagduyu (= 1×) peers Salvatore D’Oro

Countries citing papers authored by Yalin E. Sagduyu

Since Specialization

Citations

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

Fields of papers citing papers by Yalin E. Sagduyu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yalin E. Sagduyu. 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 Yalin E. Sagduyu. The network helps show where Yalin E. Sagduyu may publish in the future.

Co-authorship network of co-authors of Yalin E. Sagduyu

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

All Works

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20 of 20 papers shown

1.

Sagduyu, Yalin E., et al.. (2025). Distributed Federated Learning for Vehicular Network Security: Anomaly Detection Benefits and Multi-Domain Attack Threats. 26–31.

2.

Sagduyu, Yalin E., Tugba Erpek, Aylin Yener, & Şennur Ulukuş. (2024). Will 6G Be Semantic Communications? Opportunities and Challenges From Task Oriented and Secure Communications to Integrated Sensing. IEEE Network. 38(6). 72–80. 9 indexed citations

3.

Sagduyu, Yalin E., Tugba Erpek, Aylin Yener, & Şennur Ulukuş. (2023). Multi - Receiver Task-Oriented Communications via Multi - Task Deep Learning. 1–6. 10 indexed citations

4.

Sagduyu, Yalin E., Şennur Ulukuş, & Aylin Yener. (2023). Age of Information in Deep Learning-Driven Task-Oriented Communications. 1–6. 10 indexed citations

5.

Sagduyu, Yalin E., Tugba Erpek, Şennur Ulukuş, & Aylin Yener. (2023). Vulnerabilities of Deep Learning-Driven Semantic Communications to Backdoor (Trojan) Attacks. 1–6. 15 indexed citations

6.

Sagduyu, Yalin E., Tugba Erpek, & Yi Shi. (2023). Securing NextG Systems against Poisoning Attacks on Federated Learning: A Game-Theoretic Solution. 815–820. 1 indexed citations

7.

Shi, Yi, Yalin E. Sagduyu, Tugba Erpek, & M. Cenk Gursoy. (2022). Jamming Attacks on NextG Radio Access Network Slicing with Reinforcement Learning. 397–402. 8 indexed citations

8.

Sagduyu, Yalin E., et al.. (2022). Adversarial Machine Learning in Wireless Communications Using RF Data: A Review. IEEE Communications Surveys & Tutorials. 25(1). 77–100. 85 indexed citations

9.

Ayanoğlu, Ender, Kemal Davaslıoğlu, & Yalin E. Sagduyu. (2022). Machine Learning in NextG Networks via Generative Adversarial Networks. IEEE Transactions on Cognitive Communications and Networking. 8(2). 480–501. 35 indexed citations

10.

Shi, Yi, Yalin E. Sagduyu, & Tugba Erpek. (2022). Federated learning for distributed spectrum sensing in NextG communication networks. 59–59. 9 indexed citations

11.

Davaslıoğlu, Kemal, et al.. (2022). Self-Supervised RF Signal Representation Learning for NextG Signal Classification With Deep Learning. IEEE Wireless Communications Letters. 12(1). 65–69. 23 indexed citations

12.

Wang, Xueyuan, M. Cenk Gursoy, Tugba Erpek, & Yalin E. Sagduyu. (2021). Jamming-Resilient Path Planning for Multiple UAVs via Deep Reinforcement Learning. 1–6. 11 indexed citations

13.

Kim, Brian, Yalin E. Sagduyu, Kemal Davaslıoğlu, Tugba Erpek, & Şennur Ulukuş. (2020). How to Make 5G Communications "Invisible": Adversarial Machine Learning for Wireless Privacy. 763–767. 20 indexed citations

14.

Shi, Yi, Yalin E. Sagduyu, & Tugba Erpek. (2020). Reinforcement Learning for Dynamic Resource Optimization in 5G Radio Access Network Slicing. 1–6. 54 indexed citations

15.

Shi, Yi, Tugba Erpek, Yalin E. Sagduyu, & Jason H. Li. (2018). Spectrum Data Poisoning with Adversarial Deep Learning. 407–412. 45 indexed citations

16.

Shi, Yi, Yalin E. Sagduyu, Tugba Erpek, et al.. (2018). Adversarial Deep Learning for Cognitive Radio Security: Jamming Attack and Defense Strategies. 1–6. 76 indexed citations

17.

Shi, Yi, Yalin E. Sagduyu, Kemal Davaslıoğlu, & Jason H. Li. (2018). Generative Adversarial Networks for Black-Box API Attacks with Limited Training Data. 453–458. 18 indexed citations

18.

Sagduyu, Yalin E., et al.. (2018). Optimal Network-Centric Planning for Airborne Relay Communications. IEEE Systems Journal. 12(4). 3450–3460. 3 indexed citations

19.

Sagduyu, Yalin E., et al.. (2013). Opportunistic spectrum access in wireless communications with network coding. 146–153. 1 indexed citations

20.

Sagduyu, Yalin E., et al.. (2010). Wireless jamming attacks under dynamic traffic uncertainty. HAL (Le Centre pour la Communication Scientifique Directe). 303–312. 24 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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