M. A. El-Dosuky

481 total citations
30 papers, 219 citations indexed

About

M. A. El-Dosuky is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, M. A. El-Dosuky has authored 30 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in M. A. El-Dosuky's work include Energy Load and Power Forecasting (3 papers), Blockchain Technology Applications and Security (3 papers) and Topic Modeling (2 papers). M. A. El-Dosuky is often cited by papers focused on Energy Load and Power Forecasting (3 papers), Blockchain Technology Applications and Security (3 papers) and Topic Modeling (2 papers). M. A. El-Dosuky collaborates with scholars based in Egypt, Saudi Arabia and Yemen. M. A. El-Dosuky's co-authors include Aboul Ella Hassanien, Ahmed M. Elshewey, El‐Sayed M. El‐kenawy, Zahraa Tarek, Mahmoud Y. Shams, Abdelaziz A. Abdelhamid, Abdelhameed Ibrahim‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Ashraf Darwish, M. Z. Rashad and A. S. Tolba and has published in prestigious journals such as Scientific Reports, Applied Soft Computing and Neural Computing and Applications.

In The Last Decade

M. A. El-Dosuky

21 papers receiving 207 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. A. El-Dosuky Egypt 8 58 48 41 23 20 30 219
Armin Masoumian Spain 7 64 1.1× 40 0.8× 84 2.0× 23 1.0× 8 0.4× 8 259
Y. C. A. Padmanabha Reddy India 5 70 1.2× 40 0.8× 30 0.7× 9 0.4× 12 0.6× 16 247
Nidhi Sindhwani India 11 57 1.0× 61 1.3× 51 1.2× 38 1.7× 18 0.9× 39 262
Xincan Wu China 4 150 2.6× 43 0.9× 50 1.2× 18 0.8× 8 0.4× 7 293
J. Surendiran India 10 47 0.8× 43 0.9× 36 0.9× 4 0.2× 19 0.9× 28 209
Mingwei Li China 8 97 1.7× 48 1.0× 64 1.6× 8 0.3× 13 0.7× 29 255
Zhiyi Qu China 8 67 1.2× 60 1.3× 105 2.6× 13 0.6× 6 0.3× 30 290
Arvind R. Yadav India 9 22 0.4× 24 0.5× 73 1.8× 21 0.9× 6 0.3× 31 265
Harun Bingöl Türkiye 10 204 3.5× 25 0.5× 63 1.5× 10 0.4× 20 1.0× 24 367
Dweepna Garg India 9 60 1.0× 29 0.6× 59 1.4× 5 0.2× 17 0.8× 32 238

Countries citing papers authored by M. A. El-Dosuky

Since Specialization
Citations

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

Fields of papers citing papers by M. A. El-Dosuky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. A. El-Dosuky. 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 M. A. El-Dosuky. The network helps show where M. A. El-Dosuky may publish in the future.

Co-authorship network of co-authors of M. A. El-Dosuky

This figure shows the co-authorship network connecting the top 25 collaborators of M. A. El-Dosuky. A scholar is included among the top collaborators of M. A. El-Dosuky 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 M. A. El-Dosuky. M. A. El-Dosuky 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.
El-Dosuky, M. A., et al.. (2025). Explainable energy consumption and speed prediction in sustainable cities using deep learning. Neural Computing and Applications. 37(8). 6233–6249.
2.
El-Dosuky, M. A., et al.. (2025). Predicting power consumption of drones using explainable optimized mathematical and machine learning models. The Journal of Supercomputing. 81(5). 4 indexed citations
3.
Askr, Heba, M. A. El-Dosuky, Ashraf Darwish, & Aboul Ella Hassanien. (2024). Explainable ResNet50 learning model based on copula entropy for cotton plant disease prediction. Applied Soft Computing. 164. 112009–112009. 13 indexed citations
4.
El-Dosuky, M. A., et al.. (2024). Wind Power Forecasting Using Grey Wolf Optimized Long Short-Term Memory Based on Numerical Weather Prediction. Journal of Power and Energy Engineering. 12(12). 1–16.
5.
El-Dosuky, M. A., et al.. (2024). A deep learning approach for ovarian cancer detection and classification based on fuzzy deep learning. Scientific Reports. 14(1). 26463–26463. 7 indexed citations
6.
El-Dosuky, M. A., et al.. (2024). Natural Language Processing and Natural Language Understanding Techniques for Intelligent Search. International Journal of Computer Applications. 186(11). 39–45.
7.
El-Dosuky, M. A., et al.. (2024). Optical Character Recognition and Named Entity Recognition for Highly Confidential Documents. International Journal of Computer Applications. 186(25). 20–26.
8.
Elshewey, Ahmed M., et al.. (2023). Weight Prediction Using the Hybrid Stacked-LSTM Food Selection Model. Computer Systems Science and Engineering. 46(1). 765–781. 18 indexed citations
9.
El-Dosuky, M. A., et al.. (2021). Emotional Public Sphere: Sentiment Analysis of Tweets after New Zealand Mosque Shooting. 57(2). 1051–1100. 1 indexed citations
10.
El-Dosuky, M. A., Mona Soliman, & Aboul Ella Hassanien. (2021). COVID‐19 vs influenza viruses: A cockroach optimized deep neural network classification approach. International Journal of Imaging Systems and Technology. 31(2). 472–482. 10 indexed citations
11.
El-Dosuky, M. A., et al.. (2020). Financial Portfolio Optimization using Monte Carlo and Operation Research. International Journal of Computer Applications. 175(34). 43–46. 1 indexed citations
12.
El-Dosuky, M. A., et al.. (2020). Quality of Third Generation Sequencing. Journal of Computational and Theoretical Nanoscience. 17(12). 5205–5209. 1 indexed citations
13.
14.
El-Dosuky, M. A., et al.. (2019). Multi-column Deep Neural Network Based On Particle Swarm Optimization. 351. 1–5. 3 indexed citations
15.
El-Dosuky, M. A., et al.. (2018). Autonomous Quadrotor Delivery System Modeling and Simulation. 1(1). 7–14. 1 indexed citations
16.
El-Dosuky, M. A., et al.. (2017). Management of Data Security Based on Data Cost Evaluation. Journal of Computational and Theoretical Nanoscience. 14(10). 4964–4969. 1 indexed citations
17.
El-Dosuky, M. A., et al.. (2016). A NOVEL SECURITY MODEL FOR DATA MANAGEMENT IN CLOUD COMPUTING. 16(1). 59–69. 1 indexed citations
18.
Rashad, M. Z., et al.. (2014). Implementation of a New Visualization Framework of Job Scheduling in Grid Computers. International Journal of Computer Applications. 86(5). 13–18. 1 indexed citations
19.
Rashad, M. Z., et al.. (2014). Genetic Cuckoo Optimization Algorithm (GCOA). International Journal of Computer Applications. 90(3). 7–12. 1 indexed citations
20.
Rashad, M. Z., Mohamed Abu ElSoud, & M. A. El-Dosuky. (2013). FAFSA: Fast Artificial Fish Swarm Algorithm. 5 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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