Ayman Yafoz

643 total citations
54 papers, 361 citations indexed

About

Ayman Yafoz is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Ayman Yafoz has authored 54 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 20 papers in Computer Networks and Communications and 9 papers in Signal Processing. Recurrent topics in Ayman Yafoz's work include Network Security and Intrusion Detection (14 papers), Sentiment Analysis and Opinion Mining (10 papers) and Anomaly Detection Techniques and Applications (8 papers). Ayman Yafoz is often cited by papers focused on Network Security and Intrusion Detection (14 papers), Sentiment Analysis and Opinion Mining (10 papers) and Anomaly Detection Techniques and Applications (8 papers). Ayman Yafoz collaborates with scholars based in Saudi Arabia, Egypt and Ethiopia. Ayman Yafoz's co-authors include Raed Alsini, Shitharth Selvarajan, Omar Alghushairy, Hariprasath Manoharan, Alaa O. Khadidos, Khaled H. Alyoubi, Hanan Abdullah Mengash, Farman Ali, Abdullah Mohamed and Adil O. Khadidos and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Ayman Yafoz

49 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ayman Yafoz Saudi Arabia 13 143 124 60 57 48 54 361
Selim Yılmaz Türkiye 7 154 1.1× 119 1.0× 52 0.9× 40 0.7× 28 0.6× 18 333
Mohammed Eshtay Jordan 9 262 1.8× 68 0.5× 32 0.5× 35 0.6× 72 1.5× 15 394
Diaa Salama Abd Elminaam Egypt 9 273 1.9× 88 0.7× 46 0.8× 37 0.6× 64 1.3× 16 473
Adel Sabry Eesa Iraq 8 304 2.1× 228 1.8× 37 0.6× 138 2.4× 53 1.1× 13 485
Jiashuai Shi China 6 159 1.1× 70 0.6× 41 0.7× 26 0.5× 44 0.9× 7 339
Yu-Xiang Wang China 5 104 0.7× 157 1.3× 90 1.5× 22 0.4× 38 0.8× 12 350
Amani A. Alneil Saudi Arabia 10 111 0.8× 59 0.5× 29 0.5× 31 0.5× 39 0.8× 33 265
Pradip Dhal India 7 194 1.4× 35 0.3× 39 0.7× 26 0.5× 51 1.1× 13 386
P. Thangaraj India 11 102 0.7× 152 1.2× 57 0.9× 35 0.6× 47 1.0× 62 352

Countries citing papers authored by Ayman Yafoz

Since Specialization
Citations

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

Fields of papers citing papers by Ayman Yafoz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayman Yafoz

This figure shows the co-authorship network connecting the top 25 collaborators of Ayman Yafoz. A scholar is included among the top collaborators of Ayman Yafoz 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 Ayman Yafoz. Ayman Yafoz 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.
Ali, Farman, et al.. (2024). IP-GCN: A deep learning model for prediction of insulin using graph convolutional network for diabetes drug design. Journal of Computational Science. 81. 102388–102388. 11 indexed citations
2.
Aldehim, Ghadah, Mashael Maashi, Mashael M. Asiri, et al.. (2024). Chaos Game Optimization with stacked LSTM sequence to sequence autoencoder for malware detection in IoT cloud environment. Alexandria Engineering Journal. 112. 688–700.
3.
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
4.
Ali, Farman, et al.. (2024). VEGF-ERCNN: A deep learning-based model for prediction of vascular endothelial growth factor using ensemble residual CNN. Journal of Computational Science. 83. 102448–102448. 13 indexed citations
5.
Alghushairy, Omar, Raed Alsini, Abdulrahman A. Alshdadi, et al.. (2024). An Efficient Support Vector Machine Algorithm Based Network Outlier Detection System. IEEE Access. 12. 24428–24441. 7 indexed citations
6.
7.
Alabduallah, Bayan, Mohammed Maray, Nuha Alruwais, et al.. (2024). Class imbalanced data handling with cyberattack classification using Hybrid Salp Swarm Algorithm with deep learning approach. Alexandria Engineering Journal. 106. 654–663. 2 indexed citations
8.
Motwakel, Abdelwahed, Jaber S. Alzahrani, Ayman Yafoz, et al.. (2023). Deer Hunting Optimization with Deep Learning Enabled Emotion Classification on English Twitter Data. Computer Systems Science and Engineering. 47(3). 2741–2757. 1 indexed citations
9.
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.
10.
Escorcia‐Gutierrez, José, et al.. (2023). Optimal Synergic Deep Learning for COVID-19 Classification Using Chest X-Ray Images. Computers, materials & continua/Computers, materials & continua (Print). 75(3). 5255–5270. 2 indexed citations
11.
Mahmood, Khalid, et al.. (2023). Modified Red Fox Optimizer With Deep Learning Enabled False Data Injection Attack Detection. IEEE Access. 11. 79256–79264. 6 indexed citations
12.
Selvarajan, Shitharth, et al.. (2023). Physical Stint Virtual Representation of Biomedical Signals With Wireless Sensors Using Swarm Intelligence Optimization Algorithm. IEEE Sensors Journal. 23(4). 3870–3877. 7 indexed citations
13.
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
14.
Aslam, Sheraz, et al.. (2022). A Hybrid Deep Learning-Based Model for Detection of Electricity Losses Using Big Data in Power Systems. Sustainability. 14(20). 13627–13627. 17 indexed citations
15.
Obayya, Marwa, Ayman Yafoz, Raed Alsini, et al.. (2022). Wavelet Mutation with Aquila Optimization-Based Routing Protocol for Energy-Aware Wireless Communication. Sensors. 22(21). 8508–8508. 11 indexed citations
16.
Yuvaraj, D., et al.. (2022). An Efficient Mechanism for Deep Web Data Extraction Based on Tree‐Structured Web Pattern Matching. Wireless Communications and Mobile Computing. 2022(1). 3 indexed citations
17.
Yafoz, Ayman, et al.. (2022). Computational Linguistics with Deep-Learning-Based Intent Detection for Natural Language Understanding. Applied Sciences. 12(17). 8633–8633. 4 indexed citations
18.
Alshareef, Abdulrhman M., et al.. (2022). Empirical Compression Features of Mobile Computing and Data Applications Using Deep Neural Networks. Security and Communication Networks. 2022. 1–11. 3 indexed citations
19.
Duhayyim, Mesfer Al, Areej Malibari, Abdullah Alharbi, et al.. (2022). Road Damage Detection Using the Hunger Games Search with Elman Neural Network on High-Resolution Remote Sensing Images. Remote Sensing. 14(24). 6222–6222. 9 indexed citations
20.
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

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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