Shadi Basurra

780 total citations · 1 hit paper
30 papers, 393 citations indexed

About

Shadi Basurra is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Shadi Basurra has authored 30 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Shadi Basurra's work include IoT and Edge/Fog Computing (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Mobile Ad Hoc Networks (3 papers). Shadi Basurra is often cited by papers focused on IoT and Edge/Fog Computing (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Mobile Ad Hoc Networks (3 papers). Shadi Basurra collaborates with scholars based in United Kingdom, Saudi Arabia and Malaysia. Shadi Basurra's co-authors include Faisal Saeed, Mohamed Medhat Gaber, Sultan Noman Qasem, Abdullah M. Albarrak, Tawfik Al-Hadhrami, Simon Armour, Marina De Vos, Julián Padget, Tim Lewis and Yusheng Ji and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Shadi Basurra

29 papers receiving 380 citations

Hit Papers

Machine Learning-Based Predictive Models for Detection of... 2024 2026 2025 2024 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shadi Basurra United Kingdom 9 117 92 54 54 46 30 393
Jiayi Lu China 9 83 0.7× 149 1.6× 55 1.0× 48 0.9× 44 1.0× 20 360
T. Saravanan India 14 95 0.8× 102 1.1× 29 0.5× 66 1.2× 104 2.3× 57 488
Shubhi Gupta India 12 103 0.9× 62 0.7× 27 0.5× 57 1.1× 50 1.1× 37 331
A. Harshavardhan India 11 80 0.7× 112 1.2× 65 1.2× 55 1.0× 62 1.3× 33 395
S. Ravikumar India 8 79 0.7× 76 0.8× 18 0.3× 42 0.8× 56 1.2× 25 312
T. Poongodi India 8 94 0.8× 69 0.8× 43 0.8× 46 0.9× 28 0.6× 28 265
Mudita Uppal India 11 74 0.6× 60 0.7× 22 0.4× 35 0.6× 49 1.1× 55 290
Shamimul Qamar Saudi Arabia 12 70 0.6× 102 1.1× 22 0.4× 64 1.2× 52 1.1× 49 357
Ahmad F. Subahi Saudi Arabia 13 136 1.2× 87 0.9× 33 0.6× 54 1.0× 32 0.7× 24 425

Countries citing papers authored by Shadi Basurra

Since Specialization
Citations

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

Fields of papers citing papers by Shadi Basurra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shadi Basurra

This figure shows the co-authorship network connecting the top 25 collaborators of Shadi Basurra. A scholar is included among the top collaborators of Shadi Basurra 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 Shadi Basurra. Shadi Basurra 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.
Basurra, Shadi, et al.. (2025). Advanced Diagnosis of Cardiac and Respiratory Diseases from Chest X-Ray Imagery Using Deep Learning Ensembles. Journal of Sensor and Actuator Networks. 14(2). 44–44. 2 indexed citations
2.
Alnazzawi, Noha, et al.. (2025). IoT-UAV-Enabled Intelligent Resource Management in Low-Carbon Smart Agriculture Using Federated Reinforcement Learning. IEEE Transactions on Consumer Electronics. 71(2). 6933–6941. 1 indexed citations
3.
Saeed, Faisal, et al.. (2024). Machine Learning-Based Predictive Models for Detection of Cardiovascular Diseases. Diagnostics. 14(2). 144–144. 81 indexed citations breakdown →
4.
Basurra, Shadi, et al.. (2024). Image Classifier for an Online Footwear Marketplace to Distinguish between Counterfeit and Real Sneakers for Resale. Sensors. 24(10). 3030–3030. 2 indexed citations
5.
Wu, Wenyan, et al.. (2024). Intelligent Edge-Cloud Framework for Water Quality Monitoring in Water Distribution System. Water. 16(2). 196–196. 13 indexed citations
7.
Michael, Eric, et al.. (2024). Real-Time Pipeline Fault Detection in Water Distribution Networks Using You Only Look Once v8. Sensors. 24(21). 6982–6982. 5 indexed citations
8.
Basurra, Shadi, et al.. (2024). Temporal meta-optimiser based sensitivity analysis (TMSA) for agent-based models and applications in children’s services. Scientific Reports. 14(1). 9105–9105. 1 indexed citations
9.
Al-Hadhrami, Tawfik, et al.. (2024). Laser communications system with drones as relay medium for healthcare applications. PeerJ Computer Science. 10. e1759–e1759. 1 indexed citations
10.
Gaber, Mohamed Medhat, et al.. (2024). Human-in-the-Loop Learning with LLMs for Efficient RASE Tagging in Building Compliance Regulations. IEEE Access. 1–1. 4 indexed citations
11.
Alsewari, AbdulRahman A., et al.. (2023). Diabetes disease prediction system using HNB classifier based on discretization method. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 20(1). 2 indexed citations
12.
Saeed, Faisal, et al.. (2023). DenseNet-201 and Xception Pre-Trained Deep Learning Models for Fruit Recognition. Electronics. 12(14). 3132–3132. 63 indexed citations
13.
Saeed, Faisal, Zhe Liu, Shadi Basurra, et al.. (2023). Machine learning in metastatic cancer research: Potentials, possibilities, and prospects. Computational and Structural Biotechnology Journal. 21. 2454–2470. 10 indexed citations
14.
Salih, Sinan Q., AbdulRahman A. Alsewari, Hafiz Abdul Wahab, et al.. (2023). Multi-population Black Hole Algorithm for the problem of data clustering. PLoS ONE. 18(7). e0288044–e0288044. 6 indexed citations
15.
Kyriakou, Marios, et al.. (2023). The power of progressive active learning in floorplan images for energy assessment. Scientific Reports. 13(1). 16238–16238. 1 indexed citations
16.
Hassan, Sara, et al.. (2023). A Review of Mental Health Issues Prevalent in Science, Technology, Engineering, and Mathematics (STEM) Subjects. Advances in educational technologies and instructional design book series. 1–27. 1 indexed citations
17.
Basurra, Shadi, et al.. (2023). FedNets: Federated Learning on Edge Devices Using Ensembles of Pruned Deep Neural Networks. IEEE Access. 11. 30726–30738. 7 indexed citations
18.
Basurra, Shadi, et al.. (2018). Edge Machine Learning: Enabling Smart Internet of Things Applications. Big Data and Cognitive Computing. 2(3). 26–26. 65 indexed citations
19.
Basurra, Shadi, et al.. (2018). A Non-Intrusive Heuristic for Energy Messaging Intervention Modeled Using a Novel Agent-Based Approach. IEEE Access. 7. 1627–1646. 4 indexed citations
20.
Basurra, Shadi, Marina De Vos, Julián Padget, Tim Lewis, & Simon Armour. (2010). A Zone-based Routing Protocol with Parallel Collision Guidance Broadcasting for MANET. 1188–1191. 4 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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