Hanan Abdullah Mengash

1.4k total citations · 1 hit paper
66 papers, 868 citations indexed

About

Hanan Abdullah Mengash is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hanan Abdullah Mengash has authored 66 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 15 papers in Computer Networks and Communications and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hanan Abdullah Mengash's work include Network Security and Intrusion Detection (8 papers), Internet Traffic Analysis and Secure E-voting (6 papers) and Advanced Malware Detection Techniques (6 papers). Hanan Abdullah Mengash is often cited by papers focused on Network Security and Intrusion Detection (8 papers), Internet Traffic Analysis and Secure E-voting (6 papers) and Advanced Malware Detection Techniques (6 papers). Hanan Abdullah Mengash collaborates with scholars based in Saudi Arabia, Egypt and United States. Hanan Abdullah Mengash's co-authors include Muhammad Adnan, Fatma Outay, Manar Ahmed Hamza, Ahmed S. Salama, Alexander Brodsky, Sumayh S. Aljameel, Faiz Abdullah Alotaibi, Abu Sarwar Zamani, Mohammad Alamgeer and Ayman Yafoz and has published in prestigious journals such as Scientific Reports, IEEE Access and Molecules.

In The Last Decade

Hanan Abdullah Mengash

57 papers receiving 817 citations

Hit Papers

Applications of unmanned aerial vehicle (UAV) in road saf... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hanan Abdullah Mengash Saudi Arabia 13 239 187 155 141 132 66 868
Xiaoliang Fan China 13 377 1.6× 146 0.8× 64 0.4× 105 0.7× 39 0.3× 51 1.6k
Shadi Atalla United Arab Emirates 18 245 1.0× 155 0.8× 36 0.2× 194 1.4× 121 0.9× 114 1.1k
Štěpán Hubálovský Czechia 16 490 2.1× 195 1.0× 50 0.3× 159 1.1× 116 0.9× 52 1.3k
Myriam Hadjouni Saudi Arabia 17 226 0.9× 89 0.5× 27 0.2× 177 1.3× 49 0.4× 38 685
Ruiyun Yu China 17 292 1.2× 122 0.7× 98 0.6× 208 1.5× 25 0.2× 68 1.0k
Ken Cai China 15 150 0.6× 160 0.9× 17 0.1× 159 1.1× 61 0.5× 51 796
Javier Medina Spain 14 102 0.4× 172 0.9× 40 0.3× 41 0.3× 40 0.3× 48 716
Doyen Sahoo Singapore 11 428 1.8× 607 3.2× 19 0.1× 62 0.4× 100 0.8× 21 1.3k
Susan McKeever Ireland 13 220 0.9× 364 1.9× 28 0.2× 179 1.3× 49 0.4× 52 848

Countries citing papers authored by Hanan Abdullah Mengash

Since Specialization
Citations

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

Fields of papers citing papers by Hanan Abdullah Mengash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hanan Abdullah Mengash. 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 Hanan Abdullah Mengash. The network helps show where Hanan Abdullah Mengash may publish in the future.

Co-authorship network of co-authors of Hanan Abdullah Mengash

This figure shows the co-authorship network connecting the top 25 collaborators of Hanan Abdullah Mengash. A scholar is included among the top collaborators of Hanan Abdullah Mengash 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 Hanan Abdullah Mengash. Hanan Abdullah Mengash 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.
Abdullah, Monir, et al.. (2025). Federated learning with Blockchain on Denial-of-Service attacks detection and classification of edge IIoT networks using Deep Transfer Learning model. Computers & Electrical Engineering. 124. 110319–110319. 1 indexed citations
2.
Mengash, Hanan Abdullah, et al.. (2025). TinyML-enabled structural health monitoring for real-time anomaly detection in civil infrastructure. Alexandria Engineering Journal. 129. 1340–1348.
3.
Mengash, Hanan Abdullah, et al.. (2025). Agricultural consumer Internet of Things devices: Methods for optimizing data aggregation. Alexandria Engineering Journal. 125. 692–699.
4.
Jagdale, Swati C., et al.. (2025). Optimization of Anthralin Microemulgel Targeted Delivery for Psoriasis and Acne. Molecules. 30(12). 2629–2629.
6.
Li, Wan, et al.. (2024). Deep learning-based photoplethysmography biometric authentication for continuous user verification. Applied Soft Computing. 156. 111461–111461. 4 indexed citations
7.
Mengash, Hanan Abdullah, et al.. (2024). Hybrid GWQBBA model for optimized classification of attacks in Intrusion Detection System. Alexandria Engineering Journal. 116. 9–19. 7 indexed citations
9.
Mengash, Hanan Abdullah, et al.. (2024). Land Use and Land Cover Classification Using River Formation Dynamics Algorithm With Deep Learning on Remote Sensing Images. IEEE Access. 12. 11147–11156. 12 indexed citations
11.
Mengash, Hanan Abdullah, et al.. (2023). Archimedes Optimization Algorithm-Based Feature Selection with Hybrid Deep-Learning-Based Churn Prediction in Telecom Industries. Biomimetics. 9(1). 1–1. 6 indexed citations
12.
Mengash, Hanan Abdullah, Mohammad Alamgeer, Mashael Maashi, et al.. (2023). Leveraging Marine Predators Algorithm with Deep Learning for Lung and Colon Cancer Diagnosis. Cancers. 15(5). 1591–1591. 31 indexed citations
13.
Motwakel, Abdelwahed, Aisha Hassan Abdalla Hashim, Hanan Abdullah Mengash, et al.. (2023). Green Anaconda Optimization Based Energy Aware Clustering Protocol for 6G Wireless Communication Systems. Mobile Networks and Applications. 29(1). 187–200.
14.
Alabdan, Rana, et al.. (2023). Modified Bald Eagle Search Algorithm With Deep Learning-Driven Sleep Quality Prediction for Healthcare Monitoring Systems. IEEE Access. 11. 135385–135393. 3 indexed citations
15.
Mengash, Hanan Abdullah, et al.. (2023). Sustainable residential building energy consumption forecasting for smart cities using optimal weighted voting ensemble learning. Sustainable Energy Technologies and Assessments. 57. 103271–103271. 14 indexed citations
16.
Alotaibi, Saud S., Hanan Abdullah Mengash, Noha Negm, et al.. (2022). Swarm Intelligence with Deep Transfer Learning Driven Aerial Image Classification Model on UAV Networks. Applied Sciences. 12(13). 6488–6488. 5 indexed citations
17.
Hamza, Manar Ahmed, Hanan Abdullah Mengash, Saud S. Alotaibi, et al.. (2022). Optimal and Efficient Deep Learning Model for Brain Tumor Magnetic Resonance Imaging Classification and Analysis. Applied Sciences. 12(15). 7953–7953. 13 indexed citations
18.
Aljebreen, Mohammed, Hanan Abdullah Mengash, Mohammad Alamgeer, et al.. (2022). Modelling of Metaheuristics with Machine Learning-Enabled Cybersecurity in Unmanned Aerial Vehicles. Sustainability. 14(24). 16741–16741. 5 indexed citations
19.
Duhayyim, Mesfer Al, et al.. (2022). Metaheuristics Optimization with Deep Learning Enabled Automated Image Captioning System. Applied Sciences. 12(15). 7724–7724. 11 indexed citations
20.
Outay, Fatma, Hanan Abdullah Mengash, & Muhammad Adnan. (2020). Applications of unmanned aerial vehicle (UAV) in road safety, traffic and highway infrastructure management: Recent advances and challenges. Transportation Research Part A Policy and Practice. 141. 116–129. 304 indexed citations breakdown →

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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