Mubarak Alrashoud

1.9k total citations
67 papers, 1.2k citations indexed

About

Mubarak Alrashoud is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Mubarak Alrashoud has authored 67 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 17 papers in Electrical and Electronic Engineering and 16 papers in Artificial Intelligence. Recurrent topics in Mubarak Alrashoud's work include IoT and Edge/Fog Computing (7 papers), UAV Applications and Optimization (7 papers) and Software Engineering Research (5 papers). Mubarak Alrashoud is often cited by papers focused on IoT and Edge/Fog Computing (7 papers), UAV Applications and Optimization (7 papers) and Software Engineering Research (5 papers). Mubarak Alrashoud collaborates with scholars based in Saudi Arabia, China and Canada. Mubarak Alrashoud's co-authors include Ahmed Ghoneim, M. Shamim Hossain, Sahil Garg, Enmin Song, Jiayi Lu, Ghulam Muhammad, Michał Wieczorek, Jakub Siłka, Marcin Woźniak and Arun Kumar Sangaiah and has published in prestigious journals such as Scientific Reports, IEEE Access and IEEE Transactions on Vehicular Technology.

In The Last Decade

Mubarak Alrashoud

59 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mubarak Alrashoud Saudi Arabia 19 481 380 245 195 128 67 1.2k
Salil Bharany India 18 302 0.6× 602 1.6× 339 1.4× 189 1.0× 112 0.9× 113 1.3k
Hela Elmannai Saudi Arabia 22 546 1.1× 383 1.0× 282 1.2× 171 0.9× 116 0.9× 104 1.6k
Mohammad Dahman Alshehri Saudi Arabia 24 407 0.8× 584 1.5× 432 1.8× 352 1.8× 116 0.9× 56 1.5k
Lewis Nkenyereye South Korea 20 304 0.6× 460 1.2× 248 1.0× 320 1.6× 87 0.7× 76 1.1k
Saqib Hakak Canada 15 397 0.8× 312 0.8× 462 1.9× 131 0.7× 185 1.4× 21 1.4k
Liang Qiao China 20 357 0.7× 453 1.2× 365 1.5× 268 1.4× 76 0.6× 32 1.4k
Shijie Zhou China 21 709 1.5× 523 1.4× 295 1.2× 245 1.3× 224 1.8× 123 1.4k
Ashish Kr. Luhach Papua New Guinea 22 325 0.7× 603 1.6× 386 1.6× 266 1.4× 88 0.7× 95 1.4k
Muhammad Rizwan Pakistan 24 620 1.3× 696 1.8× 407 1.7× 320 1.6× 110 0.9× 75 1.9k
M. Prakash India 22 374 0.8× 512 1.3× 360 1.5× 320 1.6× 67 0.5× 79 1.5k

Countries citing papers authored by Mubarak Alrashoud

Since Specialization
Citations

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

Fields of papers citing papers by Mubarak Alrashoud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mubarak Alrashoud

This figure shows the co-authorship network connecting the top 25 collaborators of Mubarak Alrashoud. A scholar is included among the top collaborators of Mubarak Alrashoud 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 Mubarak Alrashoud. Mubarak Alrashoud 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.
Yang, Fan, et al.. (2025). Split Learning-Based Robust Resource Allocation for Consumer Electronics in Smart Cities. IEEE Transactions on Consumer Electronics. 71(2). 6700–6710.
2.
Alrashoud, Mubarak. (2025). Deepfake video detection methods, approaches, and challenges. Alexandria Engineering Journal. 125. 265–277. 3 indexed citations
3.
Budhiraja, Ishan, et al.. (2025). Proximal Policy Optimization based sum rate maximization scheme for STAR-RIS-assisted vehicular networks underlaying UAV. Alexandria Engineering Journal. 118. 700–710. 1 indexed citations
4.
Huang, Yanze, Limei Lin, Xiaoding Wang, et al.. (2025). Graph-Neural-Network-Based Intermittent Fault Diagnosis for Reliability of Symbiotic Internet of Things. IEEE Internet of Things Journal. 12(20). 41276–41286.
5.
6.
Cao, Haotong, et al.. (2024). GCN-Based Multi-Agent Deep Reinforcement Learning for Dynamic Service Function Chain Deployment in IoT. IEEE Transactions on Consumer Electronics. 70(3). 6105–6118. 6 indexed citations
7.
Zhao, Haitao, et al.. (2024). Long-Term Energy Management Empowered Hierarchical Federated Learning for Smart Consumer Electronics. IEEE Transactions on Consumer Electronics. 70(1). 1155–1166. 6 indexed citations
8.
Li, Zengpeng, et al.. (2024). Lightweight Infrared and Visible Image Fusion Technique: Guided Gradient Optimization Driven. IEEE Transactions on Consumer Electronics. 70(4). 7233–7243. 1 indexed citations
9.
Saha, Sourav, Ashok Kumar Das, Mohammad Wazid, et al.. (2024). Smart Contract-Based Access Control Scheme for Blockchain Assisted 6G-Enabled IoT-Based Big Data Driven Healthcare Cyber Physical Systems. IEEE Transactions on Consumer Electronics. 70(4). 6975–6986. 12 indexed citations
10.
Budhiraja, Ishan, et al.. (2024). Deep reinforcement learning based rate enhancement scheme for RIS assisted mobile users underlaying UAV. Alexandria Engineering Journal. 91. 1–11. 14 indexed citations
11.
Budhiraja, Ishan, Deepak Garg, Ramendra K. Singh, et al.. (2024). SWIPT and uplink NOMA approach for self energy recycling in full-duplex enabled D2D network. Alexandria Engineering Journal. 90. 208–215. 2 indexed citations
12.
Du, Pengfei, et al.. (2024). AI-Enabled Trajectory Optimization of Logistics UAVs With Wind Impacts in Smart Cities. IEEE Transactions on Consumer Electronics. 70(1). 3885–3897. 37 indexed citations
13.
Abbasi, Waqas Sarwar, et al.. (2023). Rectangular Cylinder Orientation and Aspect Ratio Impact on the Onset of Vortex Shedding. Mathematics. 11(22). 4571–4571. 1 indexed citations
14.
Du, Pengfei, et al.. (2023). 3-D Trajectory Optimization and Communication Resources Allocation in UAV-Assisted IoT Networks for Sustainable Industry 5.0. IEEE Transactions on Consumer Electronics. 70(1). 1423–1433. 16 indexed citations
15.
Liu, Peng, et al.. (2023). Federated Multimodal Learning for Privacy-Preserving Driver Break Recommendations in Consumer Electronics. IEEE Transactions on Consumer Electronics. 70(1). 4564–4573. 12 indexed citations
16.
Wang, Xiaoding, Jianmin Liu, Hui Lin, Sahil Garg, & Mubarak Alrashoud. (2023). A multi-modal spatial–temporal model for accurate motion forecasting with visual fusion. Information Fusion. 102. 102046–102046. 16 indexed citations
17.
Zhao, Haitao, Kun Liu, Miao Liu, Sahil Garg, & Mubarak Alrashoud. (2023). Intelligent Beamforming for UAV-Assisted IIoT Based on Hypergraph Inspired Explainable Deep Learning. IEEE Transactions on Consumer Electronics. 70(1). 1972–1982. 8 indexed citations
18.
Guo, Teng, Wenhong Zhao, Mubarak Alrashoud, et al.. (2022). Multimodal Educational Data Fusion for Students’ Mental Health Detection. IEEE Access. 10. 70370–70382. 24 indexed citations
19.
Gupta, Divya, Shalli Rani, Syed Hassan Ahmed, et al.. (2021). ICN-Based Enhanced Cooperative Caching for Multimedia Streaming in Resource Constrained Vehicular Environment. IEEE Transactions on Intelligent Transportation Systems. 22(7). 4588–4600. 48 indexed citations
20.
Makkar, Aaisha, Sahil Garg, Neeraj Kumar, et al.. (2020). An Efficient Spam Detection Technique for IoT Devices Using Machine Learning. IEEE Transactions on Industrial Informatics. 17(2). 903–912. 99 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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