Warda M. Shaban

814 total citations
23 papers, 507 citations indexed

About

Warda M. Shaban is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Health Information Management. According to data from OpenAlex, Warda M. Shaban has authored 23 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Health Information Management. Recurrent topics in Warda M. Shaban's work include Artificial Intelligence in Healthcare (5 papers), Energy Load and Power Forecasting (4 papers) and COVID-19 diagnosis using AI (4 papers). Warda M. Shaban is often cited by papers focused on Artificial Intelligence in Healthcare (5 papers), Energy Load and Power Forecasting (4 papers) and COVID-19 diagnosis using AI (4 papers). Warda M. Shaban collaborates with scholars based in Egypt, Saudi Arabia and Algeria. Warda M. Shaban's co-authors include Ahmed I. Saleh, M.A. Abo-Elsoud, Asmaa H. Rabie, Fatma M. Talaat, A.E. Kabeel, Mohammed El Hadi Attia, Sayed A. Ward, Mostafa A. Elhosseini, Mohamed Shehata and Medhat A. Tawfeek and has published in prestigious journals such as Scientific Reports, Renewable Energy and Solar Energy.

In The Last Decade

Warda M. Shaban

17 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Warda M. Shaban Egypt 11 232 187 67 58 50 23 507
Alaa Ali Hameed Türkiye 11 233 1.0× 195 1.0× 35 0.5× 105 1.8× 7 0.1× 58 603
M. Srinivas India 12 156 0.7× 114 0.6× 46 0.7× 45 0.8× 5 0.1× 48 438
Ferhat Uçar Türkiye 12 402 1.7× 468 2.5× 18 0.3× 106 1.8× 22 0.4× 29 811
Shankar Thawkar India 14 228 1.0× 218 1.2× 45 0.7× 142 2.4× 6 0.1× 23 511
S. Punitha India 11 321 1.4× 146 0.8× 42 0.6× 103 1.8× 4 0.1× 42 494
Almas Abbasi Pakistan 10 129 0.6× 153 0.8× 20 0.3× 186 3.2× 13 0.3× 29 702
Tamanna Siddiqui India 9 152 0.7× 101 0.5× 26 0.4× 103 1.8× 4 0.1× 33 506
Noppadol Maneerat Thailand 14 84 0.4× 260 1.4× 42 0.6× 198 3.4× 15 0.3× 41 506
Mohammed Nasir Uddin Bangladesh 12 228 1.0× 17 0.1× 54 0.8× 60 1.0× 5 0.1× 60 507
Mengxiang Chen China 7 154 0.7× 25 0.1× 6 0.1× 21 0.4× 27 0.5× 17 337

Countries citing papers authored by Warda M. Shaban

Since Specialization
Citations

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

Fields of papers citing papers by Warda M. Shaban

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Warda M. Shaban. 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 Warda M. Shaban. The network helps show where Warda M. Shaban may publish in the future.

Co-authorship network of co-authors of Warda M. Shaban

This figure shows the co-authorship network connecting the top 25 collaborators of Warda M. Shaban. A scholar is included among the top collaborators of Warda M. Shaban 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 Warda M. Shaban. Warda M. Shaban 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.
Talaat, Fatma M., A.E. Kabeel, & Warda M. Shaban. (2025). Powering a sustainable future: AI-driven integration of renewables for optimized grid management. Sustainable Futures. 10. 100821–100821. 2 indexed citations
2.
Moustafa, Hossam El-Din, et al.. (2025). Utilizing voting classifiers for enhanced analysis and diagnosis of cardiac conditions. Results in Engineering. 26. 104636–104636. 4 indexed citations
3.
Shaban, Warda M.. (2025). An AI-based automatic leukemia classification system utilizing dimensional Archimedes optimization. Scientific Reports. 15(1). 17091–17091.
4.
Tawfeek, Medhat A., Ibrahim Alrashdi, Madallah Alruwaili, Warda M. Shaban, & Fatma M. Talaat. (2025). Enhancing the efficiency of lung cancer screening: predictive models utilizing deep learning from CT scans. Neural Computing and Applications. 37(17). 11459–11477. 3 indexed citations
5.
Shaban, Warda M., et al.. (2025). Machine learning framework for predicting susceptibility to obesity. Scientific Reports. 15(1). 35040–35040.
6.
Talaat, Fatma M., A.E. Kabeel, & Warda M. Shaban. (2025). Towards sustainable energy management: Leveraging explainable Artificial Intelligence for transparent and efficient decision-making. Sustainable Energy Technologies and Assessments. 78. 104348–104348. 2 indexed citations
7.
Shaban, Warda M.. (2025). Artificial intelligence-based diagnostic model for autism spectrum disorder using blood biomarkers. Neural Computing and Applications. 37(29). 24075–24102.
8.
Talaat, Fatma M., Warda M. Shaban, Hanaa ZainEldin, Mahmoud Badawy, & Mostafa A. Elhosseini. (2025). Integrating V2X solutions in intelligent green cities: an AI-driven point exchange system approach. Neural Computing and Applications. 37(20). 15311–15343.
9.
Shaban, Warda M., A.E. Kabeel, Mohammed El Hadi Attia, & Fatma M. Talaat. (2024). Optimizing photovoltaic thermal solar systems efficiency through advanced artificial intelligence driven thermal management techniques. Applied Thermal Engineering. 247. 123029–123029. 45 indexed citations
10.
Talaat, Fatma M., et al.. (2024). CardioRiskNet: A Hybrid AI-Based Model for Explainable Risk Prediction and Prognosis in Cardiovascular Disease. Bioengineering. 11(8). 822–822. 14 indexed citations
11.
Talaat, Fatma M., A.E. Kabeel, & Warda M. Shaban. (2024). The role of utilizing artificial intelligence and renewable energy in reaching sustainable development goals. Renewable Energy. 235. 121311–121311. 23 indexed citations
12.
Shaban, Warda M.. (2024). Detection and classification of photovoltaic module defects based on artificial intelligence. Neural Computing and Applications. 36(27). 16769–16796. 13 indexed citations
13.
Shaban, Warda M.. (2023). Early diagnosis of liver disease using improved binary butterfly optimization and machine learning algorithms. Multimedia Tools and Applications. 83(10). 30867–30895. 21 indexed citations
14.
15.
Shaban, Warda M., et al.. (2023). SMP-DL: a novel stock market prediction approach based on deep learning for effective trend forecasting. Neural Computing and Applications. 36(4). 1849–1873. 32 indexed citations
16.
Shaban, Warda M.. (2023). Breast Cancer Classification based on Artificial Intelligence: State of the Art. 0(0). 0–0. 1 indexed citations
17.
Shaban, Warda M.. (2022). Insight into breast cancer detection: new hybrid feature selection method. Neural Computing and Applications. 35(9). 6831–6853. 29 indexed citations
18.
Shaban, Warda M., Asmaa H. Rabie, Ahmed I. Saleh, & M.A. Abo-Elsoud. (2021). Accurate detection of COVID-19 patients based on distance biased Naïve Bayes (DBNB) classification strategy. Pattern Recognition. 119. 108110–108110. 42 indexed citations
19.
Shaban, Warda M., Asmaa H. Rabie, Ahmed I. Saleh, & M.A. Abo-Elsoud. (2020). A new COVID-19 Patients Detection Strategy (CPDS) based on hybrid feature selection and enhanced KNN classifier. Knowledge-Based Systems. 205. 106270–106270. 167 indexed citations
20.
Shaban, Warda M., Asmaa H. Rabie, Ahmed I. Saleh, & M.A. Abo-Elsoud. (2020). Detecting COVID-19 patients based on fuzzy inference engine and Deep Neural Network. Applied Soft Computing. 99. 106906–106906. 83 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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