Ryan Alturki

1.2k total citations
69 papers, 716 citations indexed

About

Ryan Alturki is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Ryan Alturki has authored 69 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 22 papers in Computer Networks and Communications and 18 papers in Information Systems. Recurrent topics in Ryan Alturki's work include IoT and Edge/Fog Computing (11 papers), Mobile Health and mHealth Applications (8 papers) and User Authentication and Security Systems (5 papers). Ryan Alturki is often cited by papers focused on IoT and Edge/Fog Computing (11 papers), Mobile Health and mHealth Applications (8 papers) and User Authentication and Security Systems (5 papers). Ryan Alturki collaborates with scholars based in Saudi Arabia, Pakistan and China. Ryan Alturki's co-authors include Fazlullah Khan, Mohammad Dahman Alshehri, Valérie Gay, Mohammad Wedyan, Mian Ahmad Jan, Spyridon Mastorakis, Ateeq Ur Rehman, Meiling Li, Qin Chen and Muhammad Usman Tariq and has published in prestigious journals such as IEEE Access, Sensors and International Journal of Environmental Research and Public Health.

In The Last Decade

Ryan Alturki

61 papers receiving 692 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan Alturki Saudi Arabia 15 232 196 158 118 77 69 716
Yazdan Ahmad Qadri South Korea 9 526 2.3× 155 0.8× 239 1.5× 246 2.1× 110 1.4× 20 923
Joseph Henry Anajemba China 18 496 2.1× 325 1.7× 264 1.7× 238 2.0× 81 1.1× 31 936
Yushan Siriwardhana Finland 8 504 2.2× 153 0.8× 198 1.3× 305 2.6× 149 1.9× 19 953
Gaspard Harerimana South Korea 6 129 0.6× 341 1.7× 89 0.6× 127 1.1× 78 1.0× 7 776
Mahmoud Elkhodr Australia 16 313 1.3× 153 0.8× 266 1.7× 143 1.2× 81 1.1× 46 705
Harishchandra Dubey United States 17 270 1.2× 279 1.4× 177 1.1× 110 0.9× 129 1.7× 43 851
Mithileysh Sathiyanarayanan India 14 124 0.5× 117 0.6× 147 0.9× 115 1.0× 154 2.0× 98 682
Revathi Sundarasekar India 7 301 1.3× 191 1.0× 190 1.2× 72 0.6× 132 1.7× 8 770
Sherzod Turaev Malaysia 14 183 0.8× 124 0.6× 69 0.4× 57 0.5× 94 1.2× 111 629

Countries citing papers authored by Ryan Alturki

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Alturki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan Alturki

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan Alturki. A scholar is included among the top collaborators of Ryan Alturki 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 Ryan Alturki. Ryan Alturki 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.
Alturki, Ryan, et al.. (2025). DSRS: DELIGHT sequential recommender system. Engineering Applications of Artificial Intelligence. 142. 109936–109936. 2 indexed citations
2.
Wang, Shudong, Yuanyuan Zhang, Sibo Qiao, et al.. (2025). Autonomously Adjusting Multi-Relational Hypergraphs Structure for Predicting circRNA-MiRNA Associations. IEEE Journal of Biomedical and Health Informatics. PP. 1–10. 1 indexed citations
3.
Alazab, Moutaz, et al.. (2024). A Novel IDS with a Dynamic Access Control Algorithm to Detect and Defend Intrusion at IoT Nodes. Sensors. 24(7). 2188–2188. 9 indexed citations
4.
Wu, Yong‐Jin, Hu Xiong, Fazlullah Khan, et al.. (2024). Efficient and provably secured puncturable attribute-based signature for Web 3.0. Future Generation Computer Systems. 164. 107568–107568. 3 indexed citations
5.
You, Li, et al.. (2024). Decoding the third dimension in the metaverse: A comprehensive method for reconstructing 2D NFT portraits into 3D models. Applied Soft Computing. 165. 111964–111964. 2 indexed citations
6.
Atwan, Jaffar, et al.. (2024). Using Deep Learning to Recognize Fake Faces. International Journal of Advanced Computer Science and Applications. 15(1). 1 indexed citations
7.
Munshi, Amr, et al.. (2024). Classification of SPAM mail utilizing machine learning and deep learning techniques. 16(2). 71–82. 1 indexed citations
8.
Abdallah, Fahed, et al.. (2024). One-step graph-based multi-view clustering via specific and unified nonnegative embeddings. International Journal of Machine Learning and Cybernetics. 15(12). 5807–5822.
9.
Khan, Fazlullah, et al.. (2023). A Secure Ensemble Learning-Based Fog-Cloud Approach for Cyberattack Detection in IoMT. IEEE Transactions on Industrial Informatics. 19(10). 10125–10132. 64 indexed citations
10.
Rahman, Md. Arafatur, et al.. (2023). Dynamic channel estimation-aware routing protocol in mobile cognitive radio networks for smart IIoT applications. Digital Communications and Networks. 9(2). 367–382. 7 indexed citations
11.
Wedyan, Mohammad, et al.. (2023). Improving Semantic Information Retrieval Using Multinomial Naive Bayes Classifier and Bayesian Networks. Information. 14(5). 272–272. 14 indexed citations
12.
Babar, Muhammad Ali, Mian Ahmad Jan, Xiangjian He, et al.. (2022). An Optimized IoT-Enabled Big Data Analytics Architecture for Edge–Cloud Computing. IEEE Internet of Things Journal. 10(5). 3995–4005. 49 indexed citations
13.
Khan, Rahim, et al.. (2022). A Trustworthy, Reliable, and Lightweight Privacy and Data Integrity Approach for the Internet of Things. IEEE Transactions on Industrial Informatics. 19(1). 511–518. 12 indexed citations
14.
Atwan, Jaffar, et al.. (2021). The Use of Stemming in the Arabic Text and Its Impact on the Accuracy of Classification. Scientific Programming. 2021. 1–9. 9 indexed citations
15.
Alturki, Ryan, Hasan J. Alyamani, Md. Arafatur Rahman, et al.. (2021). Sensor-Cloud Architecture: A Taxonomy of Security Issues in Cloud-Assisted Sensor Networks. IEEE Access. 9. 89344–89359. 11 indexed citations
16.
Ali, Ahmad, Fazlullah Khan, Muhammad Zakarya, et al.. (2021). Modeling Dynamic Spatio-Temporal Correlations for Urban Traffic Flows Prediction. IEEE Access. 9. 26502–26511. 36 indexed citations
17.
Muhammad, Yar, et al.. (2021). Identification of Pneumonia Disease Applying an Intelligent Computational Framework Based on Deep Learning and Machine Learning Techniques. Mobile Information Systems. 2021. 1–20. 42 indexed citations
18.
Khan, Fazlullah, et al.. (2021). Mutual Authentication Scheme for the Device-to-Server Communication in the Internet of Medical Things. IEEE Internet of Things Journal. 8(21). 15663–15671. 31 indexed citations
19.
Alturki, Ryan, et al.. (2021). A Proposed Application for Controlling Overweight and Obesity within the Framework of the Internet of Things. Mobile Information Systems. 2021. 1–9. 5 indexed citations
20.
Khan, Inam Ullah, et al.. (2021). Intelligent Detection System Enabled Attack Probability Using Markov Chain in Aerial Networks. Wireless Communications and Mobile Computing. 2021(1). 8 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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