Abdullah Alshehri

841 total citations
42 papers, 460 citations indexed

About

Abdullah Alshehri is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Abdullah Alshehri has authored 42 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 10 papers in Artificial Intelligence and 9 papers in Information Systems. Recurrent topics in Abdullah Alshehri's work include Network Security and Intrusion Detection (5 papers), Wireless Communication Networks Research (4 papers) and Advanced Image Fusion Techniques (3 papers). Abdullah Alshehri is often cited by papers focused on Network Security and Intrusion Detection (5 papers), Wireless Communication Networks Research (4 papers) and Advanced Image Fusion Techniques (3 papers). Abdullah Alshehri collaborates with scholars based in Saudi Arabia, United States and Pakistan. Abdullah Alshehri's co-authors include Sultan S. Alshamrani, Rashid Amin, Mahmoud Owais, M.H. Abdel‐Aziz, Samina Khalid, Hareem Kibriya, Momina Masood, M. Bassyouni, Asma Hassan Alshehri and M. Sh. Zoromba and has published in prestigious journals such as IEEE Access, Industrial & Engineering Chemistry Research and Sensors.

In The Last Decade

Abdullah Alshehri

38 papers receiving 443 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 Alshehri Saudi Arabia 12 98 83 69 62 55 42 460
Brojo Kishore Mishra India 14 220 2.2× 115 1.4× 121 1.8× 118 1.9× 45 0.8× 79 607
Sultan Alfarhood Saudi Arabia 15 238 2.4× 89 1.1× 113 1.6× 123 2.0× 28 0.5× 91 743
Iftikhar Ahmed Khan Pakistan 14 128 1.3× 129 1.6× 213 3.1× 139 2.2× 17 0.3× 61 974
Debabrata Singh India 10 83 0.8× 147 1.8× 42 0.6× 41 0.7× 18 0.3× 52 375
Dina M. Ibrahim Egypt 12 78 0.8× 126 1.5× 102 1.5× 20 0.3× 28 0.5× 48 483
P. Prabu India 17 159 1.6× 123 1.5× 173 2.5× 101 1.6× 66 1.2× 46 686
V. Uma Maheswari India 11 93 0.9× 60 0.7× 41 0.6× 82 1.3× 18 0.3× 64 447
Hiren Kumar Thakkar India 14 116 1.2× 112 1.3× 158 2.3× 87 1.4× 26 0.5× 42 616
Kaushik Sekaran India 10 140 1.4× 96 1.2× 44 0.6× 56 0.9× 16 0.3× 18 391
Pradeep Tomar India 14 118 1.2× 70 0.8× 55 0.8× 161 2.6× 54 1.0× 68 525

Countries citing papers authored by Abdullah Alshehri

Since Specialization
Citations

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

Fields of papers citing papers by Abdullah Alshehri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdullah Alshehri

This figure shows the co-authorship network connecting the top 25 collaborators of Abdullah Alshehri. A scholar is included among the top collaborators of Abdullah Alshehri 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 Alshehri. Abdullah Alshehri 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.
Alzahrani, Abdulkareem, et al.. (2025). AI-Driven Innovations in Tourism: Developing a Hybrid Framework for the Saudi Tourism Sector. AI. 6(1). 7–7. 3 indexed citations
2.
Ali, Waqar, et al.. (2024). Residual Attention Augmentation Graph Neural Network for Improved Node Classification. Engineering Technology & Applied Science Research. 14(2). 13238–13242. 2 indexed citations
3.
Khan, Zeshan Aslam, Khalid Mehmood Cheema, Ali Mahmood, et al.. (2024). EA-CNN: Enhanced attention-CNN with explainable AI for fruit and vegetable classification. Heliyon. 10(23). e40820–e40820. 2 indexed citations
4.
Al‐kuraishy, Hayder M., Ali I. Al‐Gareeb, Αθανάσιος Αλεξίου, et al.. (2024). Depression and type 2 diabetes: A causal relationship and mechanistic pathway. Diabetes Obesity and Metabolism. 26(8). 3031–3044. 32 indexed citations
5.
Kibriya, Hareem, Rashid Amin, Asma Hassan Alshehri, et al.. (2022). A Novel and Effective Brain Tumor Classification Model Using Deep Feature Fusion and Famous Machine Learning Classifiers. Computational Intelligence and Neuroscience. 2022. 1–15. 66 indexed citations
6.
Amin, Rashid, et al.. (2022). Digital Forensics for Malware Classification: An Approach for Binary Code to Pixel Vector Transition. Computational Intelligence and Neuroscience. 2022. 1–12. 12 indexed citations
7.
Amin, Rashid, et al.. (2022). Machine Learning Algorithms for Depression: Diagnosis, Insights, and Research Directions. Electronics. 11(7). 1111–1111. 71 indexed citations
8.
Ramalakshmi, R., Irshad Hussain, Balasubramanian Prabhu Kavin, et al.. (2022). Predicting Attack Pattern via Machine Learning by Exploiting Stateful Firewall as Virtual Network Function in an SDN Network. Sensors. 22(3). 709–709. 38 indexed citations
9.
Tripathi, Vikas, Sultan S. Alshamrani, Ankur Dumka, et al.. (2022). Hybrid Spatiotemporal Contrastive Representation Learning for Content-Based Surgical Video Retrieval. Electronics. 11(9). 1353–1353. 11 indexed citations
10.
Alshehri, Abdullah, et al.. (2020). IoT Anomaly Detection using Multivariate. International Journal of Innovative Technology and Exploring Engineering. 9(4). 1662–1669. 2 indexed citations
11.
Alshehri, Abdullah, et al.. (2020). DCNN Optimization using Wavelet-based Image Fusion. International Journal of Engineering and Advanced Technology. 9(3). 3082–3088. 3 indexed citations
12.
Alshehri, Abdullah, et al.. (2019). Investigating GAN and VAE to train DCNN. International Journal of Machine Learning and Computing. 9(6). 774–781. 3 indexed citations
13.
Alshehri, Abdullah, et al.. (2019). KEY GENERIC COMPETENCIES REQUIRED FOR ENGINEERING GRADUATES. INTED proceedings. 1. 1205–1209. 1 indexed citations
14.
Alshehri, Abdullah, et al.. (2019). A COMPARATIVE STUDY OF MULTI-FOCUS, MULTI-RESOLUTION IMAGE FUSION TRANSFORMS AND METHODS. Zenodo (CERN European Organization for Nuclear Research). 8(9). 1 indexed citations
15.
Alshehri, Abdullah, et al.. (2018). Quality Audit and Operational Excellence in Aviation Industry. Journal of Business & Financial Affairs. 7(4).
16.
Alshehri, Abdullah, et al.. (2017). EFFECTIVE MANAGING APPROACH FOR ACCREDITATION OF ENGINEERING COLLEGE. EDULEARN proceedings. 1. 6898–6906. 1 indexed citations
17.
18.
Alshehri, Abdullah, et al.. (2013). Anomaly prediction in seismic signals using neural networks. 315. 1–5. 3 indexed citations
19.
Alshehri, Abdullah. (2005). Blind Estimation of Multi-Path and Multi-User Spread Spectrum Channels and Jammer Excision via the Evolutionary Spectral Theory. D-Scholarship@Pitt (University of Pittsburgh). 1 indexed citations
20.
Chaparro, L.F. & Abdullah Alshehri. (2004). Jammer excision in spread spectrum communications via Wiener masking and frequency-frequency evolutionary transform. 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).. 4. IV–473. 3 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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