Madyan Alsenwi

1.3k total citations · 1 hit paper
35 papers, 901 citations indexed

About

Madyan Alsenwi is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Madyan Alsenwi has authored 35 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Networks and Communications, 18 papers in Electrical and Electronic Engineering and 9 papers in Aerospace Engineering. Recurrent topics in Madyan Alsenwi's work include Advanced MIMO Systems Optimization (12 papers), Cooperative Communication and Network Coding (8 papers) and IoT and Edge/Fog Computing (7 papers). Madyan Alsenwi is often cited by papers focused on Advanced MIMO Systems Optimization (12 papers), Cooperative Communication and Network Coding (8 papers) and IoT and Edge/Fog Computing (7 papers). Madyan Alsenwi collaborates with scholars based in South Korea, Luxembourg and United States. Madyan Alsenwi's co-authors include Choong Seon Hong, Nguyen H. Tran, Anupam Kumar Bairagi, Mehdi Bennis, Yan Kyaw Tun, Shashi Raj Pandey, Zhu Han, Latif U. Khan, Ki Tae Kim and Muhammad Imran and has published in prestigious journals such as IEEE Access, IEEE Journal on Selected Areas in Communications and IEEE Communications Magazine.

In The Last Decade

Madyan Alsenwi

33 papers receiving 883 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Intelligent resource slicing for eMBB and URLLC coexistence in 5G and beyond:a deep reinforcement learning based approach

2021 223 citations Madyan Alsenwi, Nguyen H. Tran et al. University of Oulu Repository (University of Oulu) profile →

Peers

Madyan Alsenwi

EEE

CNC

AE

AI

CVPR

Omid Semiari United States

Mai Le South Korea

Liseng Fan China

Tianyu Wang China

Shujun Han China

Haichuan Ding China

Sun Mao China

Woongsoo Na South Korea

Gaofeng Nie China

Vu Nguyen Ha Luxembourg

Omid Semiari United States

Madyan Alsenwi

698 ×1.2

EEE

417 ×0.8

CNC

155 ×0.8

AE

200 ×1.4

AI

56 ×0.7

CVPR

Citations per year, relative to Madyan Alsenwi Madyan Alsenwi (= 1×) peers Omid Semiari

Countries citing papers authored by Madyan Alsenwi

Since Specialization

Citations

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

Fields of papers citing papers by Madyan Alsenwi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madyan Alsenwi

This figure shows the co-authorship network connecting the top 25 collaborators of Madyan Alsenwi. A scholar is included among the top collaborators of Madyan Alsenwi 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 Madyan Alsenwi. Madyan Alsenwi 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.

Al-Hraishawi, Hayder, et al.. (2025). Low-Complexity Channel Estimation Protocol for Non-Diagonal RIS-Assisted Communications. IEEE Transactions on Vehicular Technology. 74(11). 18157–18162. 1 indexed citations

2.

Al-Hraishawi, Hayder, et al.. (2025). Group-Connected Non-Diagonal RIS: An Energy Efficiency Analysis. IEEE Wireless Communications Letters. 14(9). 2987–2991.

3.

Alsenwi, Madyan, et al.. (2024). Flexible Synchronous Federated Learning Approach for LEO Satellite Constellation Networks. Open Repository and Bibliography (University of Luxembourg). 7–12. 2 indexed citations

4.

Alsenwi, Madyan, Eva Lagunas, & Symeon Chatzinotas. (2024). Distributed Learning Framework for eMBB-URLLC Multiplexing in Open Radio Access Networks. IEEE Transactions on Network and Service Management. 21(5). 5718–5732. 2 indexed citations

5.

Al-Hraishawi, Hayder, et al.. (2024). Digital Twin for Enhanced Resource Allocation in 6G Non-Terrestrial Networks. IEEE Communications Magazine. 63(3). 47–53. 3 indexed citations

6.

Querol, Jorge, et al.. (2024). Enhancing Handover Performance in LEO Satellite Networks with Multi-Connectivity and Conditional Handover Approach. Open Repository and Bibliography (University of Luxembourg). 1–6.

7.

Alsenwi, Madyan, Eva Lagunas, & Symeon Chatzinotas. (2023). Robust Beamforming for Massive MIMO LEO Satellite Communications: A Risk-Aware Learning Framework. IEEE Transactions on Vehicular Technology. 73(5). 6560–6571. 6 indexed citations

8.

Alsenwi, Madyan, et al.. (2022). Energy-Efficient Resource Allocation in Multi-UAV-Assisted Two-Stage Edge Computing for Beyond 5G Networks. IEEE Transactions on Intelligent Transportation Systems. 23(9). 16421–16432. 77 indexed citations

9.

Alsenwi, Madyan, Nguyen H. Tran, Mehdi Bennis, et al.. (2021). Intelligent resource slicing for eMBB and URLLC coexistence in 5G and beyond:a deep reinforcement learning based approach. University of Oulu Repository (University of Oulu). 223 indexed citations breakdown →

10.

Alsenwi, Madyan, et al.. (2021). Multi-UAV-Assisted MEC System: Joint Association and Resource Management Framework. 213–218. 25 indexed citations

11.

Pandey, Shashi Raj, Kitae Kim, Madyan Alsenwi, Yan Kyaw Tun, & Choong Seon Hong. (2021). A Crowd-enabled Task Execution Approach in UAV Networks Towards Fog Computing. 246–251. 3 indexed citations

12.

Tun, Yan Kyaw, et al.. (2021). An Efficient Resource Sharing Model for Multi-UAV-Assisted Wireless Networks. 390–393. 2 indexed citations

13.

Khan, Latif U., Madyan Alsenwi, Zhu Han, & Choong Seon Hong. (2020). Self Organizing Federated Learning Over Wireless Networks: A Socially Aware Clustering Approach. 453–458. 43 indexed citations

14.

Khan, Latif U., Madyan Alsenwi, Ibrar Yaqoob, et al.. (2020). Resource Optimized Federated Learning-Enabled Cognitive Internet of Things for Smart Industries. IEEE Access. 8. 168854–168864. 48 indexed citations

15.

Tun, Yan Kyaw, Do Hyeon Kim, Madyan Alsenwi, et al.. (2020). Energy Efficient Communication and Computation Resource Slicing for eMBB and URLLC Coexistence in 5G and Beyond. IEEE Access. 8. 136024–136035. 24 indexed citations

16.

Alsenwi, Madyan, Ibrar Yaqoob, Shashi Raj Pandey, et al.. (2019). Towards Coexistence of Cellular and WiFi Networks in Unlicensed Spectrum: A Neural Networks Based Approach. IEEE Access. 7. 110023–110034. 19 indexed citations

17.

Tun, Yan Kyaw, et al.. (2019). Weighted Proportional Allocation Based Power Allocation in Wireless Network Virtualization for Future Wireless Networks. 284–289. 4 indexed citations

18.

Alsenwi, Madyan, Yan Kyaw Tun, Shashi Raj Pandey, & Choong Seon Hong. (2019). A Hopfield Neural Networks Based Mechanism for Coexistence of LTE-U and WiFi Networks in Unlicensed Spectrum. 1–6. 3 indexed citations

19.

Alsenwi, Madyan, Shashi Raj Pandey, Yan Kyaw Tun, Ki Tae Kim, & Choong Seon Hong. (2019). A Chance Constrained Based Formulation for Dynamic Multiplexing of eMBB-URLLC Traffics in 5G New Radio. 108–113. 37 indexed citations

20.

Alsenwi, Madyan, Nguyen H. Tran, Mehdi Bennis, Anupam Kumar Bairagi, & Choong Seon Hong. (2019). eMBB-URLLC Resource Slicing: A Risk-Sensitive Approach. IEEE Communications Letters. 23(4). 740–743. 164 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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