Aziz Alotaibi

797 total citations
34 papers, 427 citations indexed

About

Aziz Alotaibi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Aziz Alotaibi has authored 34 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Signal Processing and 9 papers in Artificial Intelligence. Recurrent topics in Aziz Alotaibi's work include Advanced Malware Detection Techniques (6 papers), Spam and Phishing Detection (5 papers) and Blockchain Technology Applications and Security (4 papers). Aziz Alotaibi is often cited by papers focused on Advanced Malware Detection Techniques (6 papers), Spam and Phishing Detection (5 papers) and Blockchain Technology Applications and Security (4 papers). Aziz Alotaibi collaborates with scholars based in Saudi Arabia, Kazakhstan and United States. Aziz Alotaibi's co-authors include Ausif Mahmood, Abdul Razaque, Bandar Alotaibi, Munif Alotaibi, Sultan S. Alshamrani, Rashid Amin, Mudassar Hussain, Syed Mohsan Raza, Nadir Shah and Vinay Rishiwal and has published in prestigious journals such as IEEE Access, Sensors and Sustainability.

In The Last Decade

Aziz Alotaibi

31 papers receiving 402 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aziz Alotaibi Saudi Arabia 13 165 119 103 84 83 34 427
Ahmet Burak Can Türkiye 12 167 1.0× 38 0.3× 149 1.4× 124 1.5× 176 2.1× 43 476
Woong-Kee Loh South Korea 12 110 0.7× 184 1.5× 222 2.2× 71 0.8× 62 0.7× 46 548
I. Jeena Jacob India 11 183 1.1× 42 0.4× 138 1.3× 75 0.9× 61 0.7× 39 497
Grega Vrbančič Slovenia 11 61 0.4× 88 0.7× 206 2.0× 146 1.7× 58 0.7× 16 459
Mohammed S. Alshehri Saudi Arabia 14 79 0.5× 139 1.2× 235 2.3× 75 0.9× 257 3.1× 62 594
Shailendra Aswale India 11 53 0.3× 43 0.4× 136 1.3× 60 0.7× 119 1.4× 44 390
Kefeng Fan China 12 176 1.1× 43 0.4× 135 1.3× 72 0.9× 46 0.6× 67 488
Shibao Zheng China 14 490 3.0× 91 0.8× 267 2.6× 80 1.0× 82 1.0× 74 664

Countries citing papers authored by Aziz Alotaibi

Since Specialization
Citations

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

Fields of papers citing papers by Aziz Alotaibi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aziz Alotaibi

This figure shows the co-authorship network connecting the top 25 collaborators of Aziz Alotaibi. A scholar is included among the top collaborators of Aziz Alotaibi 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 Aziz Alotaibi. Aziz Alotaibi 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.
Anwar, Saeed, et al.. (2025). SEDNet: Synergistic Learning Network with Embedded Encoder and Dense Atrous Convolution for Vehicle Re-identification. Alexandria Engineering Journal. 128. 297–305. 1 indexed citations
2.
Hamza, Rafik, Aziz Alotaibi, & Khan Muhammad. (2025). A practical multi-layered framework for post-quantum secure machine learning. Engineering Applications of Artificial Intelligence. 163. 113044–113044.
3.
Jagatheesaperumal, Senthil Kumar, et al.. (2025). Generative AI-Enhanced Neuro-Symbolic Quantum Architectures for Secure Communications and Networking. IEEE Network. 39(5). 36–43. 5 indexed citations
4.
5.
Alotaibi, Aziz. (2025). Ensemble Deep Learning Approaches in Health Care: A Review. Computers, materials & continua/Computers, materials & continua (Print). 82(3). 3741–3771. 2 indexed citations
6.
Rishiwal, Vinay, Udit Agarwal, Aziz Alotaibi, et al.. (2024). Exploring Secure V2X Communication Networks for Human-Centric Security and Privacy in Smart Cities. IEEE Access. 12. 138763–138788. 14 indexed citations
7.
Rishiwal, Vinay, Udit Agarwal, Mano Yadav, et al.. (2024). Blockchain-Secure Gaming Environments: A Comprehensive Survey. IEEE Access. 12. 183466–183488. 2 indexed citations
8.
Yadav, Preeti, et al.. (2024). Investigation and Empirical Analysis of Transfer Learning for Industrial IoT Networks. IEEE Access. 12. 173351–173379. 4 indexed citations
9.
10.
Liaqat, Hannan Bin, et al.. (2023). Identification and Classification of Lungs Focal Opacity Using CNN Segmentation and Optimal Feature Selection. Computational Intelligence and Neuroscience. 2023(1). 6357252–6357252. 2 indexed citations
11.
Razaque, Abdul, Gulnara Bektemyssova, Joon Yoo, et al.. (2023). Malicious Vehicle Detection Using Layer-Based Paradigm and the Internet of Things. Sensors. 23(14). 6554–6554. 3 indexed citations
12.
Hussain, Mudassar, Nadir Shah, Rashid Amin, et al.. (2022). Software-Defined Networking: Categories, Analysis, and Future Directions. Sensors. 22(15). 5551–5551. 28 indexed citations
13.
Razaque, Abdul, Bandar Alotaibi, Munif Alotaibi, et al.. (2022). Clickbait Detection Using Deep Recurrent Neural Network. Applied Sciences. 12(1). 504–504. 12 indexed citations
14.
Sharma, Himanshu, Neeraj Kumar, Bijaya Ketan Panigrahi, & Aziz Alotaibi. (2022). Deep Learning-Based Authentication Framework for Secure Terrestrial Communications in Next Generation Heterogeneous Networks. IEEE Internet of Things Magazine. 5(4). 174–179. 3 indexed citations
15.
Alanazi, Turki M., Bandar Alotaibi, Munif Alotaibi, et al.. (2022). Detection of Unauthorized Unmanned Aerial Vehicles Using YOLOv5 and Transfer Learning. Electronics. 11(17). 2669–2669. 25 indexed citations
16.
Rashid, Mamoon, et al.. (2022). Deep Learning Approach for the Detection of Noise Type in Ancient Images. Sustainability. 14(18). 11786–11786. 10 indexed citations
17.
Razaque, Abdul, Bandar Alotaibi, Munif Alotaibi, et al.. (2021). Blockchain-Enabled Deep Recurrent Neural Network Model for Clickbait Detection. IEEE Access. 10. 3144–3163. 15 indexed citations
18.
Alotaibi, Aziz, et al.. (2021). Prediction of Severity of COVID-19-Infected Patients Using Machine Learning Techniques. Computers. 10(3). 31–31. 17 indexed citations
19.
Alotaibi, Aziz. (2020). A Hybird Framework based on Autoencoder and Deep Neural Networks for Fashion Image Classification. International Journal of Advanced Computer Science and Applications. 11(12). 3 indexed citations
20.
Alotaibi, Aziz & Ausif Mahmood. (2016). Deep face liveness detection based on nonlinear diffusion using convolution neural network. Signal Image and Video Processing. 11(4). 713–720. 77 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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