Abdullah Alshahrani

785 total citations
34 papers, 518 citations indexed

About

Abdullah Alshahrani is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Abdullah Alshahrani has authored 34 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 12 papers in Electrical and Electronic Engineering and 10 papers in Computer Networks and Communications. Recurrent topics in Abdullah Alshahrani's work include IoT and Edge/Fog Computing (5 papers), Sentiment Analysis and Opinion Mining (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Abdullah Alshahrani is often cited by papers focused on IoT and Edge/Fog Computing (5 papers), Sentiment Analysis and Opinion Mining (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Abdullah Alshahrani collaborates with scholars based in Saudi Arabia, Pakistan and Egypt. Abdullah Alshahrani's co-authors include Naif Al Mudawi, Ibrahim A. Elgendy, Ammar Muthanna, Ahmed Mohammed Alghamdi, Andrey Koucheryavy, Abdulwahab Alazeb, Ahmad Jalal, Mashael Khayyat, Soltan Alharbi and Saud S. Alotaibi and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Abdullah Alshahrani

31 papers receiving 489 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abdullah Alshahrani Saudi Arabia 12 189 183 106 101 67 34 518
Vasileios A. Memos Greece 10 237 1.3× 124 0.7× 92 0.9× 101 1.0× 98 1.5× 20 482
Ting Cao China 11 237 1.3× 186 1.0× 152 1.4× 92 0.9× 123 1.8× 41 547
Xiaoyi Fan Canada 15 252 1.3× 143 0.8× 206 1.9× 87 0.9× 109 1.6× 36 593
Ke Nai China 13 111 0.6× 266 1.5× 54 0.5× 61 0.6× 66 1.0× 28 420
Takumi Miyoshi Japan 11 256 1.4× 101 0.6× 168 1.6× 58 0.6× 35 0.5× 125 442
Mingkai Chen China 11 193 1.0× 68 0.4× 159 1.5× 68 0.7× 31 0.5× 68 430
Teemu Leppänen Finland 15 450 2.4× 118 0.6× 121 1.1× 84 0.8× 198 3.0× 33 657
Carlos Ruiz United States 12 76 0.4× 129 0.7× 97 0.9× 97 1.0× 47 0.7× 42 403
Fuhong Song China 7 254 1.3× 190 1.0× 97 0.9× 156 1.5× 86 1.3× 11 550
Hameedur Rahman Pakistan 13 69 0.4× 231 1.3× 47 0.4× 195 1.9× 68 1.0× 62 596

Countries citing papers authored by Abdullah Alshahrani

Since Specialization
Citations

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

Fields of papers citing papers by Abdullah Alshahrani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdullah Alshahrani

This figure shows the co-authorship network connecting the top 25 collaborators of Abdullah Alshahrani. A scholar is included among the top collaborators of Abdullah Alshahrani 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 Abdullah Alshahrani. Abdullah Alshahrani 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.
Alshahrani, Abdullah. (2025). Toward 6G: Latency-Optimized MEC Systems with UAV and RIS Integration. Mathematics. 13(5). 871–871.
2.
Alshahrani, Abdullah, et al.. (2024). Particle Swarm Optimization for Wireless Sensor Network Lifespan Maximization. Engineering Technology & Applied Science Research. 14(2). 13665–13670. 3 indexed citations
3.
Khan, Danyal Z., Abdullah Alshahrani, Abrar Almjally, et al.. (2024). Advanced IoT-Based Human Activity Recognition and Localization Using Deep Polynomial Neural Network. IEEE Access. 12. 94337–94353. 33 indexed citations
4.
5.
Alshahrani, Abdullah, Abrar Almjally, Naif Al Mudawi, et al.. (2024). Remote Sensing Image Interpretation: Deep Belief Networks for Multi-Object Analysis. IEEE Access. 12. 142360–142379. 19 indexed citations
6.
Mudawi, Naif Al, Bayan Alabduallah, Abdulwahab Alazeb, et al.. (2023). Predictive Analytics for Sustainable E-Learning: Tracking Student Behaviors. Sustainability. 15(20). 14780–14780. 33 indexed citations
7.
Alabdullah, Bayan, Naif Al Mudawi, Abdulwahab Alazeb, et al.. (2023). Smart Home Automation-Based Hand Gesture Recognition Using Feature Fusion and Recurrent Neural Network. Sensors. 23(17). 7523–7523. 50 indexed citations
8.
Shahid, Muhammad Ihsan, Muhammad Asim, Muhammad Fahad Sheikh, et al.. (2023). Design and performance analysis of salinity gradient solar pond under different climatic and soil conditions. PLoS ONE. 18(2). e0279311–e0279311. 6 indexed citations
9.
Mudawi, Naif Al, Maha Abdelhaq, Abdullah Alshahrani, et al.. (2023). Vehicle Detection and Classification via YOLOv8 and Deep Belief Network over Aerial Image Sequences. Sustainability. 15(19). 14597–14597. 21 indexed citations
10.
Alshahrani, Abdullah, et al.. (2022). Artificial Intelligence-based Speech Signal for COVID-19 Diagnostics. 311–317. 1 indexed citations
11.
Alghamdi, Ahmed Mohammed, et al.. (2022). Intelligence and Usability Empowerment of Smartphone Adaptive Features. Applied Sciences. 12(23). 12245–12245. 4 indexed citations
12.
Alshahrani, Abdullah, et al.. (2022). SmartTips: Online Products Recommendations System Based on Analyzing Customers Reviews. Applied Sciences. 12(17). 8823–8823. 3 indexed citations
13.
Shahzad, Syed Khuram, et al.. (2022). Automatic Detection of Weapons in Surveillance Cameras Using Efficient-Net. Computers, materials & continua/Computers, materials & continua (Print). 72(3). 4615–4630. 7 indexed citations
14.
Alshahrani, Abdullah, et al.. (2022). Extracting Prominent Aspects of Online Customer Reviews: A Data-Driven Approach to Big Data Analytics. Electronics. 11(13). 2042–2042. 3 indexed citations
15.
Alshahrani, Abdullah, et al.. (2022). Using Dynamic Pruned N-Gram Model for Identifying the Gender of the User. Applied Sciences. 12(13). 6378–6378. 1 indexed citations
16.
Jaffar, Arfan, et al.. (2022). Hybrid Color Texture Features Classification Through ANN for Melanoma. Intelligent Automation & Soft Computing. 35(2). 2205–2218. 13 indexed citations
17.
Alshahrani, Abdullah, et al.. (2021). Performance Estimation in V2X Networks Using Deep Learning-Based M-Estimator Loss Functions in the Presence of Outliers. Symmetry. 13(11). 2207–2207. 8 indexed citations
18.
Alshahrani, Abdullah, Ibrahim A. Elgendy, Ammar Muthanna, Ahmed Mohammed Alghamdi, & Adel Alshamrani. (2020). Efficient Multi-Player Computation Offloading for VR Edge-Cloud Computing Systems. Applied Sciences. 10(16). 5515–5515. 27 indexed citations
19.
Alshahrani, Abdullah, et al.. (2017). Asynchronous Optimization Algorithms for the Enhancement of Lifetime in WSNs. Journal of Communications. 636–643. 2 indexed citations
20.
Alshahrani, Abdullah, et al.. (2017). Escaping the local optima trap caused by PSO by hybridization scheme for elongate the WSN's lifetime. 121–127. 2 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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