Maazen Alsabaan

1.3k total citations
68 papers, 778 citations indexed

About

Maazen Alsabaan is a scholar working on Artificial Intelligence, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Maazen Alsabaan has authored 68 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 27 papers in Control and Systems Engineering and 26 papers in Electrical and Electronic Engineering. Recurrent topics in Maazen Alsabaan's work include Smart Grid Security and Resilience (21 papers), Adversarial Robustness in Machine Learning (10 papers) and Electricity Theft Detection Techniques (8 papers). Maazen Alsabaan is often cited by papers focused on Smart Grid Security and Resilience (21 papers), Adversarial Robustness in Machine Learning (10 papers) and Electricity Theft Detection Techniques (8 papers). Maazen Alsabaan collaborates with scholars based in Saudi Arabia, United States and Egypt. Maazen Alsabaan's co-authors include Kshirasagar Naik, Tarek Khalifa, Mohamed Mahmoud, Mostafa M. Fouda, Mohamed I. Ibrahem, Waleed Alasmary, Mahmoud M. Badr, Amiya Nayak, Engy El-Shafeiy and Rajeev Tripathi and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Access and Sensors.

In The Last Decade

Maazen Alsabaan

65 papers receiving 747 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maazen Alsabaan Saudi Arabia 15 345 286 272 164 116 68 778
Qiang Zhao China 18 775 2.2× 342 1.2× 300 1.1× 186 1.1× 92 0.8× 136 1.2k
Salah Zidi Tunisia 11 184 0.5× 164 0.6× 245 0.9× 221 1.3× 40 0.3× 60 644
Tarek Khalifa Canada 10 490 1.4× 331 1.2× 247 0.9× 37 0.2× 80 0.7× 29 713
Jitendra Bhatia India 12 296 0.9× 85 0.3× 339 1.2× 102 0.6× 41 0.4× 47 667
Ribal Atallah Canada 19 806 2.3× 345 1.2× 451 1.7× 88 0.5× 259 2.2× 54 1.1k
Yacine Ghamri-Doudane France 17 582 1.7× 103 0.4× 861 3.2× 170 1.0× 58 0.5× 96 1.2k
Xiangyu Zhang United States 15 439 1.3× 229 0.8× 119 0.4× 108 0.7× 54 0.5× 63 714
Yilong Ren China 16 178 0.5× 271 0.9× 116 0.4× 155 0.9× 208 1.8× 85 831
Peng Zhuang Canada 13 900 2.6× 808 2.8× 403 1.5× 151 0.9× 97 0.8× 28 1.3k
Syed Muhammad Mohsin Pakistan 15 535 1.6× 165 0.6× 292 1.1× 305 1.9× 31 0.3× 40 1.0k

Countries citing papers authored by Maazen Alsabaan

Since Specialization
Citations

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

Fields of papers citing papers by Maazen Alsabaan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maazen Alsabaan

This figure shows the co-authorship network connecting the top 25 collaborators of Maazen Alsabaan. A scholar is included among the top collaborators of Maazen Alsabaan 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 Maazen Alsabaan. Maazen Alsabaan 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.
Nabil, Mahmoud, et al.. (2025). Trojan Attack and Defense for Deep Learning Based Power Quality Disturbances Classification. IEEE Transactions on Network Science and Engineering. 12(5). 3962–3974. 1 indexed citations
2.
Badr, Mahmoud M., et al.. (2025). Securing Smart Grid Federated Learning Against Advanced Evasion Attacks Using Ensemble-Based Adversarial Training. IEEE Internet of Things Journal. 12(21). 45288–45306. 1 indexed citations
3.
Badr, Mahmoud M., et al.. (2024). Secured Cluster-Based Electricity Theft Detectors Against Blackbox Evasion Attacks. 333–338. 8 indexed citations
4.
Badr, Mahmoud M., et al.. (2024). A Trojan Attack against Smart Grid Federated Learning and Countermeasures. IEEE Access. 1–1. 3 indexed citations
5.
Rasheed, Amar, et al.. (2024). Identifying Tampered Radio-Frequency Transmissions in LoRa Networks Using Machine Learning. Sensors. 24(20). 6611–6611. 1 indexed citations
6.
El-Shazly, A. A., Mahmoud M. Badr, Mohamed Mahmoud, et al.. (2024). Reinforcement Learning for Fair and Efficient Charging Coordination for Smart Grid. Energies. 17(18). 4557–4557. 6 indexed citations
7.
El-Shazly, A. A., et al.. (2024). False Data Injection Attacks on Reinforcement Learning-Based Charging Coordination in Smart Grids and a Countermeasure. Applied Sciences. 14(23). 10874–10874. 3 indexed citations
8.
Badr, Mahmoud M., et al.. (2024). Securing One-Class Federated Learning Classifiers Against Trojan Attacks in Smart Grid. IEEE Internet of Things Journal. 12(4). 4006–4021. 4 indexed citations
9.
Baza, Mohamed, et al.. (2024). Privacy-Preserving Detection of Tampered Radio-Frequency Transmissions Utilizing Federated Learning in LoRa Networks. Sensors. 24(22). 7336–7336. 3 indexed citations
10.
11.
Badr, Mahmoud M., et al.. (2024). Repetitive Backdoor Attacks and Countermeasures for Smart Grid Reinforcement Incremental Learning. IEEE Internet of Things Journal. 12(3). 3089–3104. 4 indexed citations
12.
13.
Badr, Mahmoud M., et al.. (2024). XAI-Based Accurate Anomaly Detector That Is Robust Against Black-Box Evasion Attacks for the Smart Grid. Applied Sciences. 14(21). 9897–9897. 4 indexed citations
14.
Rajesh, V., et al.. (2023). Cloud-Based LeNet-5 CNN for MRI Brain Tumor Diagnosis and Recognition. Traitement du signal. 40(4). 1581–1592. 8 indexed citations
15.
Badr, Mahmoud M., et al.. (2023). Electricity Theft Detection Using Deep Reinforcement Learning in Smart Power Grids. IEEE Access. 11. 59558–59574. 34 indexed citations
16.
Baza, Mohamed, Mohamed Mahmoud, Mostafa M. Fouda, et al.. (2023). Lightweight Multi-Class Support Vector Machine-Based Medical Diagnosis System with Privacy Preservation. Sensors. 23(22). 9033–9033. 7 indexed citations
17.
El-Shafeiy, Engy, et al.. (2023). Real-Time Anomaly Detection for Water Quality Sensor Monitoring Based on Multivariate Deep Learning Technique. Sensors. 23(20). 8613–8613. 38 indexed citations
18.
Mahmoud, Mohamed, et al.. (2023). Efficient One-Class False Data Detector Based on Deep SVDD for Smart Grids. Energies. 16(20). 7069–7069. 6 indexed citations
19.
Mahmoud, Mohamed, et al.. (2023). Countering Evasion Attacks for Smart Grid Reinforcement Learning-Based Detectors. IEEE Access. 11. 97373–97390. 15 indexed citations
20.
Alenazi, Mohammed J. F., et al.. (2020). RSSGM: Recurrent Self-Similar Gauss–Markov Mobility Model. Electronics. 9(12). 2089–2089. 10 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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