Abdelmgeid A. Ali

2.3k total citations · 2 hit papers
33 papers, 1.5k citations indexed

About

Abdelmgeid A. Ali is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Abdelmgeid A. Ali has authored 33 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Abdelmgeid A. Ali's work include Artificial Intelligence in Healthcare (5 papers), Metaheuristic Optimization Algorithms Research (5 papers) and Face recognition and analysis (4 papers). Abdelmgeid A. Ali is often cited by papers focused on Artificial Intelligence in Healthcare (5 papers), Metaheuristic Optimization Algorithms Research (5 papers) and Face recognition and analysis (4 papers). Abdelmgeid A. Ali collaborates with scholars based in Egypt, China and United States. Abdelmgeid A. Ali's co-authors include Essam H. Houssein, Marwa M. Emam, Asmaa Hammad, Ponnuthurai Nagaratnam Suganthan, M. Hassaballah, Mina Younan, Mohamed Elhoseny, Hammam Alshazly, Tarek Abd El‐Hafeez and Yaser M. Wazery and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Abdelmgeid A. Ali

30 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review

2020 263 citations Essam H. Houssein, Marwa M. Emam et al. Expert Systems with Applications profile →
Human emotion recognition from EEG-based brain–computer interface using machine learning: a comprehensive review

2022 206 citations Essam H. Houssein, Asmaa Hammad et al. Neural Computing and Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Abdelmgeid A. Ali Egypt	18	645	385	286	168	135	33	1.5k
Adi Alhudhaif Saudi Arabia	27	630 1.0×	513 1.3×	242 0.8×	140 0.8×	143 1.1×	106	2.0k
AKM Azad Australia	19	364 0.6×	272 0.7×	212 0.7×	181 1.1×	198 1.5×	86	1.4k
Muhammad Usman Ghani Khan Pakistan	23	781 1.2×	592 1.5×	256 0.9×	177 1.1×	102 0.8×	112	2.0k
Md. Kamrul Hasan Bangladesh	20	1.1k 1.6×	394 1.0×	298 1.0×	152 0.9×	58 0.4×	67	2.0k
Fuqian Shi China	23	301 0.5×	445 1.2×	189 0.7×	99 0.6×	168 1.2×	76	1.5k
Galip Aydın Türkiye	17	365 0.6×	225 0.6×	183 0.6×	191 1.1×	154 1.1×	45	1.2k
Dilip Singh Sisodia India	19	790 1.2×	199 0.5×	153 0.5×	308 1.8×	128 0.9×	93	1.7k
Shtwai Alsubai Saudi Arabia	20	504 0.8×	354 0.9×	240 0.8×	42 0.3×	174 1.3×	182	1.5k
Khosro Rezaee Iran	18	328 0.5×	304 0.8×	158 0.6×	83 0.5×	101 0.7×	70	943
Rahib H. Abiyev Cyprus	23	835 1.3×	366 1.0×	230 0.8×	150 0.9×	88 0.7×	87	1.9k

Countries citing papers authored by Abdelmgeid A. Ali

Since Specialization

Citations

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

Fields of papers citing papers by Abdelmgeid A. Ali

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abdelmgeid A. Ali. 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 Abdelmgeid A. Ali. The network helps show where Abdelmgeid A. Ali may publish in the future.

Co-authorship network of co-authors of Abdelmgeid A. Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Abdelmgeid A. Ali. A scholar is included among the top collaborators of Abdelmgeid A. Ali 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 Abdelmgeid A. Ali. Abdelmgeid A. Ali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ali, Abdelmgeid A., et al.. (2025). A Co-Evolutionary Genetic Algorithm Approach to Optimizing Deep Learning for Brain Tumor Classification. IEEE Access. 13. 21229–21248. 5 indexed citations

Houssein, Essam H., et al.. (2024). Metaheuristic algorithms and their applications in wireless sensor networks: review, open issues, and challenges. Cluster Computing. 27(10). 13643–13673. 17 indexed citations

Houssein, Essam H., Asmaa Hammad, Nagwan Abdel Samee, Manal Abdullah Alohali, & Abdelmgeid A. Ali. (2024). TFCNN-BiGRU with self-attention mechanism for automatic human emotion recognition using multi-channel EEG data. Cluster Computing. 27(10). 14365–14385. 9 indexed citations

Houssein, Essam H., Asmaa Hammad, Marwa M. Emam, & Abdelmgeid A. Ali. (2024). An enhanced Coati Optimization Algorithm for global optimization and feature selection in EEG emotion recognition. Computers in Biology and Medicine. 173. 108329–108329. 28 indexed citations

Houssein, Essam H., Mohammed R. Saad, Emre Çelik, et al.. (2024). An enhanced sea-horse optimizer for solving global problems and cluster head selection in wireless sensor networks. Cluster Computing. 27(6). 7775–7802. 7 indexed citations

Houssein, Essam H., Mohammed R. Saad, Abdelmgeid A. Ali, & Hassan Shaban. (2023). Multiple Strategies Boosted Orca Predation Algorithm for Engineering Optimization Problems. International Journal of Computational Intelligence Systems. 16(1). 3 indexed citations

Houssein, Essam H., et al.. (2023). Heart disease risk factors detection from electronic health records using advanced NLP and deep learning techniques. Scientific Reports. 13(1). 7173–7173. 24 indexed citations

Ali, Abdelmgeid A., et al.. (2023). Gene selection and tumor identification based on a hybrid of the multi-filter embedded recursive mountain gazelle algorithm. Computers in Biology and Medicine. 167. 107674–107674. 7 indexed citations

Houssein, Essam H., Mosa E. Hosney, Marwa M. Emam, et al.. (2023). Soft computing techniques for biomedical data analysis: open issues and challenges. Artificial Intelligence Review. 56(S2). 2599–2649. 9 indexed citations

10.

Houssein, Essam H., Marwa M. Emam, & Abdelmgeid A. Ali. (2022). An optimized deep learning architecture for breast cancer diagnosis based on improved marine predators algorithm. Neural Computing and Applications. 34(20). 18015–18033. 98 indexed citations

11.

Houssein, Essam H., Mohammed R. Saad, Abdelmgeid A. Ali, & Hassan Shaban. (2022). An efficient multi-objective gorilla troops optimizer for minimizing energy consumption of large-scale wireless sensor networks. Expert Systems with Applications. 212. 118827–118827. 34 indexed citations

12.

Houssein, Essam H., Mosa E. Hosney, Waleed M. Mohamed, Abdelmgeid A. Ali, & Eman M. G. Younis. (2022). Fuzzy-based hunger games search algorithm for global optimization and feature selection using medical data. Neural Computing and Applications. 35(7). 5251–5275. 41 indexed citations

13.

Ali, Abdelmgeid A., et al.. (2021). Applying Deep Learning Methods on Time‐Series Data for Forecasting COVID‐19 in Egypt, Kuwait, and Saudi Arabia. Complexity. 2021(1). 35 indexed citations

14.

Houssein, Essam H., et al.. (2021). Machine Learning Techniques for Biomedical Natural Language Processing: A Comprehensive Review. IEEE Access. 9. 140628–140653. 47 indexed citations

15.

Houssein, Essam H., Marwa M. Emam, & Abdelmgeid A. Ali. (2021). Improved manta ray foraging optimization for multi-level thresholding using COVID-19 CT images. Neural Computing and Applications. 33(24). 16899–16919. 93 indexed citations

16.

Houssein, Essam H., Marwa M. Emam, & Abdelmgeid A. Ali. (2021). An efficient multilevel thresholding segmentation method for thermography breast cancer imaging based on improved chimp optimization algorithm. Expert Systems with Applications. 185. 115651–115651. 116 indexed citations

17.

Hassaballah, M., Hammam Alshazly, & Abdelmgeid A. Ali. (2020). Robust local oriented patterns for ear recognition. Multimedia Tools and Applications. 79(41-42). 31183–31204. 23 indexed citations

18.

Younan, Mina, Essam H. Houssein, Mohamed Elhoseny, & Abdelmgeid A. Ali. (2019). Challenges and recommended technologies for the industrial internet of things: A comprehensive review. Measurement. 151. 107198–107198. 145 indexed citations

19.

Ali, Abdelmgeid A., et al.. (2019). A Robust and Efficient System to Detect Human Faces Based on Facial Features. Asian Journal of Research in Computer Science. 1–12. 30 indexed citations

20.

Ali, Abdelmgeid A., et al.. (2013). USING SCHEMA MATCHING IN DATA TRANSFORMATIONFOR WAREHOUSING WEB DATA. 1 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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