Fatma S. Alrayes

725 total citations
57 papers, 399 citations indexed

About

Fatma S. Alrayes is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Fatma S. Alrayes has authored 57 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Networks and Communications, 28 papers in Artificial Intelligence and 18 papers in Signal Processing. Recurrent topics in Fatma S. Alrayes's work include Network Security and Intrusion Detection (31 papers), Advanced Malware Detection Techniques (18 papers) and Anomaly Detection Techniques and Applications (16 papers). Fatma S. Alrayes is often cited by papers focused on Network Security and Intrusion Detection (31 papers), Advanced Malware Detection Techniques (18 papers) and Anomaly Detection Techniques and Applications (16 papers). Fatma S. Alrayes collaborates with scholars based in Saudi Arabia, Egypt and United Kingdom. Fatma S. Alrayes's co-authors include Abdelwahed Motwakel, Alia I. Abdelmoty, Saud S. Alotaibi, Mohammed Zakariah, Khalid Alissa, Oumaima Saidani, Mashael Maashi, Mesfer Al Duhayyim, Mohammed Maray and Zafar Iqbal Khan and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Fatma S. Alrayes

42 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fatma S. Alrayes Saudi Arabia 11 187 166 95 65 57 57 399
Xin Xie China 10 72 0.4× 154 0.9× 76 0.8× 79 1.2× 31 0.5× 59 395
Makhlouf Derdour Algeria 10 351 1.9× 278 1.7× 163 1.7× 59 0.9× 121 2.1× 76 556
Mousa Al-Akhras Jordan 10 414 2.2× 250 1.5× 139 1.5× 41 0.6× 73 1.3× 40 576
Darshan Vishwasrao Medhane India 8 242 1.3× 166 1.0× 62 0.7× 57 0.9× 195 3.4× 15 492
Osama M. Elkomy Egypt 10 128 0.7× 139 0.8× 42 0.4× 65 1.0× 85 1.5× 18 332
Balasubramanian Prabhu Kavin India 11 162 0.9× 171 1.0× 50 0.5× 65 1.0× 143 2.5× 40 458
Hany Harb Egypt 13 145 0.8× 195 1.2× 34 0.4× 44 0.7× 122 2.1× 47 433
Ons Aouedi France 11 419 2.2× 425 2.6× 102 1.1× 46 0.7× 113 2.0× 23 706
Jie Wen China 10 133 0.7× 364 2.2× 32 0.3× 47 0.7× 114 2.0× 28 557
Áine MacDermott United Kingdom 11 239 1.3× 127 0.8× 147 1.5× 83 1.3× 295 5.2× 34 482

Countries citing papers authored by Fatma S. Alrayes

Since Specialization
Citations

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

Fields of papers citing papers by Fatma S. Alrayes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fatma S. Alrayes. 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 Fatma S. Alrayes. The network helps show where Fatma S. Alrayes may publish in the future.

Co-authorship network of co-authors of Fatma S. Alrayes

This figure shows the co-authorship network connecting the top 25 collaborators of Fatma S. Alrayes. A scholar is included among the top collaborators of Fatma S. Alrayes 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 Fatma S. Alrayes. Fatma S. Alrayes 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.
2.
Alrayes, Fatma S., Mohammed Zakariah, Syed Umar Amin, Zafar Iqbal Khan, & Maha Helal. (2025). Hybrid Cross-Temporal Contrastive Model with Spiking Energy-Efficient Network Intrusion Detection in IOMT. International Journal of Computational Intelligence Systems. 18(1).
3.
Alrayes, Fatma S., et al.. (2025). Ensuring Zero Trust Security in Consumer Internet of Things Using Federated Learning-Based Attack Detection Model. IEEE Access. 13. 54423–54438. 1 indexed citations
4.
Alrayes, Fatma S., et al.. (2025). Leveraging sparrow search optimization with deep learning-based cybersecurity detection in industrial internet of things environment. Alexandria Engineering Journal. 121. 128–137. 2 indexed citations
5.
Alotaibi, Sultan, et al.. (2025). An ensemble of fuzzy soft expert set with deep learning on attack detection for secure industrial cyber-physical systems. Journal of Radiation Research and Applied Sciences. 18(2). 101464–101464.
6.
Zakariah, Mohammed, Syed Umar Amin, Fatma S. Alrayes, Maha Helal, & Zafar Iqbal Khan. (2025). SCADA intrusion detection using deep factorization machines. Scientific Reports. 15(1). 39753–39753.
7.
Singh, Arvind R., et al.. (2024). AI-enhanced smart grid framework for intrusion detection and mitigation in EV charging stations. Alexandria Engineering Journal. 115. 603–621. 7 indexed citations
8.
9.
Alalayah, Khaled M., Fatma S. Alrayes, Jaber S. Alzahrani, et al.. (2023). Optimal Deep Learning Based Intruder Identification in Industrial Internet of Things Environment. Computer Systems Science and Engineering. 46(3). 3121–3139. 8 indexed citations
10.
Alrayes, Fatma S., Mashael M. Asiri, Mashael Maashi, et al.. (2023). Intrusion Detection Using Chaotic Poor and Rich Optimization with Deep Learning Model for Smart City Environment. Sustainability. 15(8). 6902–6902. 9 indexed citations
11.
Alalayah, Khaled M., Fatma S. Alrayes, Mohamed K. Nour, et al.. (2023). Learning-Based Artificial Algae Algorithm with Optimal Machine Learning Enabled Malware Detection. Computer Systems Science and Engineering. 46(3). 3103–3119.
12.
Alrayes, Fatma S., et al.. (2023). Interactive Effect of Learning Rate and Batch Size to Implement Transfer Learning for Brain Tumor Classification. Electronics. 12(4). 964–964. 19 indexed citations
13.
Almuqren, Latifah, et al.. (2023). Blockchain-Assisted Vehicle and Cargo Matching Using Optimal Fuzzy Restricted Boltzmann Machine in Autonomous Transport System. IEEE Access. 11. 105698–105705. 3 indexed citations
14.
Alrayes, Fatma S., Mashael M. Asiri, Mashael Maashi, et al.. (2023). Waste classification using vision transformer based on multilayer hybrid convolution neural network. Urban Climate. 49. 101483–101483. 28 indexed citations
15.
Luo, Suhuai, Peter Summons, Dadong Wang, et al.. (2022). Deep Ensemble Learning for the Automatic Detection of Pneumoconiosis in Coal Worker’s Chest X-ray Radiography. Journal of Clinical Medicine. 11(18). 5342–5342. 38 indexed citations
16.
Alqahtani, Hamed, Saud S. Alotaibi, Fatma S. Alrayes, et al.. (2022). Evolutionary Algorithm with Deep Auto Encoder Network Based Website Phishing Detection and Classification. Applied Sciences. 12(15). 7441–7441. 8 indexed citations
17.
Alrayes, Fatma S., Mohammed Maray, Ayman Yafoz, et al.. (2022). Modeling of Botnet Detection Using Barnacles Mating Optimizer with Machine Learning Model for Internet of Things Environment. Electronics. 11(20). 3411–3411. 12 indexed citations
18.
Alrayes, Fatma S., Saud S. Alotaibi, Khalid Alissa, et al.. (2022). Artificial Intelligence-Based Secure Communication and Classification for Drone-Enabled Emergency Monitoring Systems. Drones. 6(9). 222–222. 28 indexed citations
19.
Maray, Mohammed, Fatma S. Alrayes, Saud S. Alotaibi, et al.. (2022). Intelligent metaheuristics with optimal machine learning approach for malware detection on IoT‐enabled maritime transportation systems. Expert Systems. 39(10). 9 indexed citations
20.
Alissa, Khalid, Fatma S. Alrayes, Ayman Yafoz, et al.. (2022). Planet Optimization with Deep Convolutional Neural Network for Lightweight Intrusion Detection in Resource-Constrained IoT Networks. Applied Sciences. 12(17). 8676–8676. 4 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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