Asmaa Halbouni

607 total citations · 2 hit papers
8 papers, 328 citations indexed

About

Asmaa Halbouni is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Asmaa Halbouni has authored 8 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 4 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Asmaa Halbouni's work include Network Security and Intrusion Detection (4 papers), Internet Traffic Analysis and Secure E-voting (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Asmaa Halbouni is often cited by papers focused on Network Security and Intrusion Detection (4 papers), Internet Traffic Analysis and Secure E-voting (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Asmaa Halbouni collaborates with scholars based in Malaysia, Indonesia and Palestinian Territory. Asmaa Halbouni's co-authors include Teddy Surya Gunawan, Mohamed Hadi Habaebi, Robiah Ahmad, Mira Kartiwi, Meng-Chew Leow, Bernardi Pranggono, Siti Hajar Yusoff, Suriza Ahmad Zabidi, Nanang Ismail and Kalamullah Ramli and has published in prestigious journals such as IEEE Access, Energies and The International Islamic University Malaysia Repository (The International Islamic University Malaysia).

In The Last Decade

Asmaa Halbouni

8 papers receiving 307 citations

Hit Papers

CNN-LSTM: Hybrid Deep Neural Network for Network Intrusio... 2022 2026 2023 2024 2022 2022 50 100 150
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.

  1. CNN-LSTM: Hybrid Deep Neural Network for Network Intrusion Detection System
    2022 172 citations Asmaa Halbouni, Teddy Surya Gunawan et al. IEEE Access profile →
  2. Machine Learning and Deep Learning Approaches for CyberSecurity: A Review
    2022 111 citations Asmaa Halbouni, Teddy Surya Gunawan et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Asmaa Halbouni Malaysia 6 246 181 108 49 39 8 328
Zafer Albayrak Türkiye 8 267 1.1× 162 0.9× 117 1.1× 54 1.1× 30 0.8× 22 331
Paulo Freitas de Araujo-Filho Brazil 7 178 0.7× 147 0.8× 93 0.9× 34 0.7× 50 1.3× 13 243
R. Vijayanand India 6 236 1.0× 213 1.2× 116 1.1× 54 1.1× 29 0.7× 9 295
Nazrulazhar Bahaman Malaysia 6 303 1.2× 231 1.3× 175 1.6× 31 0.6× 38 1.0× 18 367
Syeda Manjia Tahsien Canada 3 234 1.0× 125 0.7× 113 1.0× 29 0.6× 46 1.2× 6 311
Gülay Öke Türkiye 8 159 0.6× 109 0.6× 69 0.6× 68 1.4× 24 0.6× 21 252
Binghao Yan China 7 215 0.9× 177 1.0× 91 0.8× 20 0.4× 38 1.0× 14 300
P. Santhi India 5 208 0.8× 171 0.9× 113 1.0× 17 0.3× 17 0.4× 14 262
Mohamed Faisal Elrawy Cyprus 6 304 1.2× 196 1.1× 172 1.6× 82 1.7× 48 1.2× 8 366
Lokesh Sharma India 6 277 1.1× 202 1.1× 135 1.3× 49 1.0× 21 0.5× 15 342

Countries citing papers authored by Asmaa Halbouni

Since Specialization
Citations

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

Fields of papers citing papers by Asmaa Halbouni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asmaa Halbouni

This figure shows the co-authorship network connecting the top 25 collaborators of Asmaa Halbouni. A scholar is included among the top collaborators of Asmaa Halbouni 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 Asmaa Halbouni. Asmaa Halbouni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Yusoff, Siti Hajar, et al.. (2023). Model Predictive Control Based Energy Management System Literature Assessment for RES Integration. Energies. 16(8). 3362–3362. 15 indexed citations
2.
Halbouni, Asmaa, et al.. (2023). Wireless Security Protocols WPA3: A Systematic Literature Review. IEEE Access. 11. 112438–112450. 10 indexed citations
3.
Khalifa, Othman Omran, et al.. (2022). Development of A Lightweight IoT Security System. The International Islamic University Malaysia Repository (The International Islamic University Malaysia). 1–5. 1 indexed citations
4.
Halbouni, Asmaa, et al.. (2022). CNN-IDS: Convolutional Neural Network for Network Intrusion Detection System. 1–4. 13 indexed citations
5.
Halbouni, Asmaa, et al.. (2022). CNN-LSTM: Hybrid Deep Neural Network for Network Intrusion Detection System. IEEE Access. 10. 99837–99849. 172 indexed citations breakdown →
6.
Halbouni, Asmaa, et al.. (2022). Machine Learning and Deep Learning Approaches for CyberSecurity: A Review. IEEE Access. 10. 19572–19585. 111 indexed citations breakdown →
7.
Ramli, Kalamullah, et al.. (2021). Development of Intrusion Detection System using Residual Feedforward Neural Network Algorithm. 539–543. 5 indexed citations
8.

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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2026