Aala Alkhayer

538 total citations
15 papers, 367 citations indexed

About

Aala Alkhayer is a scholar working on Signal Processing, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Aala Alkhayer has authored 15 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Signal Processing, 9 papers in Computer Networks and Communications and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Aala Alkhayer's work include Advanced Malware Detection Techniques (11 papers), Network Security and Intrusion Detection (8 papers) and Advanced Steganography and Watermarking Techniques (5 papers). Aala Alkhayer is often cited by papers focused on Advanced Malware Detection Techniques (11 papers), Network Security and Intrusion Detection (8 papers) and Advanced Steganography and Watermarking Techniques (5 papers). Aala Alkhayer collaborates with scholars based in Jordan, Saudi Arabia and Egypt. Aala Alkhayer's co-authors include Iman Almomani, Walid El‐Shafai, Ibrahim Aljarah, Hossam Faris, Raneem Qaddoura, Maria Habib, Sumayh S. Aljameel, Khalid Alissa, Λέανδρος Μαγλαράς and Dimitrios Kosmanos and has published in prestigious journals such as IEEE Access, Sensors and Applied Sciences.

In The Last Decade

Aala Alkhayer

15 papers receiving 356 citations

Peers

Aala Alkhayer
Anna Shubina United States
Shi Wu China
Joshua Saxe Finland
Afsah Anwar United States
Hwansoo Han South Korea
Brad Chen United States
Wen‐Chung Kuo Taiwan
Zhichun Li United States
Anna Shubina United States
Aala Alkhayer
Citations per year, relative to Aala Alkhayer Aala Alkhayer (= 1×) peers Anna Shubina

Countries citing papers authored by Aala Alkhayer

Since Specialization
Citations

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

Fields of papers citing papers by Aala Alkhayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aala Alkhayer

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

All Works

15 of 15 papers shown
1.
Almomani, Iman, Aala Alkhayer, & Walid El‐Shafai. (2023). E2E-RDS: Efficient End-to-End Ransomware Detection System Based on Static-Based ML and Vision-Based DL Approaches. Sensors. 23(9). 4467–4467. 14 indexed citations
2.
Almomani, Iman, Aala Alkhayer, & Walid El‐Shafai. (2022). A Crypto-Steganography Approach for Hiding Ransomware within HEVC Streams in Android IoT Devices. Sensors. 22(6). 2281–2281. 18 indexed citations
3.
Almomani, Iman, Aala Alkhayer, & Walid El‐Shafai. (2022). An Automated Vision-Based Deep Learning Model for Efficient Detection of Android Malware Attacks. IEEE Access. 10. 2700–2720. 43 indexed citations
4.
Almomani, Iman, et al.. (2022). An Efficient Localization and Avoidance Method of Jammers in Vehicular Ad Hoc Networks. IEEE Access. 10. 131640–131655. 7 indexed citations
5.
Almomani, Iman, et al.. (2022). Proposed Biometric Security System Based on Deep Learning and Chaos燗lgorithms. Computers, materials & continua/Computers, materials & continua (Print). 74(2). 3515–3537. 11 indexed citations
6.
El‐Shafai, Walid, et al.. (2022). An optical-based encryption and authentication algorithm for color and grayscale medical images. Multimedia Tools and Applications. 82(15). 23735–23770. 17 indexed citations
7.
Almomani, Iman, Raneem Qaddoura, Maria Habib, et al.. (2021). Android Ransomware Detection Based on a Hybrid Evolutionary Approach in the Context of Highly Imbalanced Data. IEEE Access. 9. 57674–57691. 58 indexed citations
8.
Almomani, Iman, et al.. (2021). Hybrid-Based Analysis Impact on Ransomware Detection for Android Systems. Applied Sciences. 11(22). 10976–10976. 14 indexed citations
9.
El‐Shafai, Walid, Iman Almomani, & Aala Alkhayer. (2021). Visualized Malware Multi-Classification Framework Using Fine-Tuned CNN-Based Transfer Learning Models. Applied Sciences. 11(14). 6446–6446. 44 indexed citations
10.
El‐Shafai, Walid, Iman Almomani, & Aala Alkhayer. (2021). Optical Bit-Plane-Based 3D-JST Cryptography Algorithm With Cascaded 2D-FrFT Encryption for Efficient and Secure HEVC Communication. IEEE Access. 9. 35004–35026. 51 indexed citations
11.
Almomani, Iman, et al.. (2021). An Efficient Machine Learning-based Approach for Android v.11 Ransomware Detection. 240–244. 18 indexed citations
12.
Almomani, Iman, Aala Alkhayer, & Walid El‐Shafai. (2021). Novel Ransomware Hiding Model Using HEVC Steganography Approach. Computers, materials & continua/Computers, materials & continua (Print). 70(1). 1209–1228. 7 indexed citations
13.
Almomani, Iman & Aala Alkhayer. (2020). A Comprehensive Analysis of the Android Permissions System. IEEE Access. 8. 216671–216688. 42 indexed citations
14.
Alkhayer, Aala, et al.. (2020). ASAF: Android Static Analysis Framework. 197–202. 9 indexed citations
15.
Almomani, Iman & Aala Alkhayer. (2019). Android Applications Scanning: The Guide. 1–5. 14 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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2026