Ali Wagdy Mohamed

6.4k total citations · 3 hit papers
193 papers, 4.4k citations indexed

About

Ali Wagdy Mohamed is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Ali Wagdy Mohamed has authored 193 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Artificial Intelligence, 38 papers in Computational Theory and Mathematics and 36 papers in Electrical and Electronic Engineering. Recurrent topics in Ali Wagdy Mohamed's work include Metaheuristic Optimization Algorithms Research (67 papers), Advanced Multi-Objective Optimization Algorithms (38 papers) and Evolutionary Algorithms and Applications (31 papers). Ali Wagdy Mohamed is often cited by papers focused on Metaheuristic Optimization Algorithms Research (67 papers), Advanced Multi-Objective Optimization Algorithms (38 papers) and Evolutionary Algorithms and Applications (31 papers). Ali Wagdy Mohamed collaborates with scholars based in Egypt, Saudi Arabia and India. Ali Wagdy Mohamed's co-authors include Anas A. Hadi, Ali Khater Mohamed, Prachi Agrawal, Talari Ganesh, Kamal Jambi, Hattan F. Abutarboush, Ponnuthurai Nagaratnam Suganthan, Guojiang Xiong, Anas Fattouh and Karam M. Sallam and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and Scientific Reports.

In The Last Decade

Ali Wagdy Mohamed

174 papers receiving 4.3k citations

Hit Papers

Metaheuristic Algorithms on Feature Selection: A... 2017 2026 2020 2023 2021 2019 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Wagdy Mohamed Egypt 31 2.8k 1.4k 689 451 400 193 4.4k
Abdelazim G. Hussien Egypt 32 2.2k 0.8× 1.0k 0.7× 693 1.0× 549 1.2× 518 1.3× 112 3.8k
Abdolreza Hatamlou Iran 13 2.6k 0.9× 1.1k 0.8× 679 1.0× 443 1.0× 514 1.3× 25 4.0k
Kashif Hussain China 20 2.1k 0.8× 870 0.6× 684 1.0× 490 1.1× 479 1.2× 34 3.7k
Fatma A. Hashim Egypt 24 2.8k 1.0× 1.2k 0.9× 1.1k 1.6× 860 1.9× 636 1.6× 82 5.2k
Liying Wang China 17 2.0k 0.7× 891 0.6× 1.1k 1.6× 819 1.8× 390 1.0× 59 4.0k
Mohammad H. Nadimi-Shahraki Iran 30 2.2k 0.8× 955 0.7× 533 0.8× 434 1.0× 475 1.2× 77 3.6k
Seyedeh Zahra Mirjalili Australia 10 2.7k 1.0× 1.3k 0.9× 1.4k 2.0× 920 2.0× 558 1.4× 13 5.2k
Benyamın Abdollahzadeh Iran 13 1.7k 0.6× 748 0.5× 636 0.9× 492 1.1× 365 0.9× 16 3.1k
Sankalap Arora India 19 2.3k 0.8× 976 0.7× 719 1.0× 467 1.0× 506 1.3× 29 3.7k
Pavel Trojovský Czechia 29 1.9k 0.7× 676 0.5× 992 1.4× 658 1.5× 576 1.4× 119 4.4k

Countries citing papers authored by Ali Wagdy Mohamed

Since Specialization
Citations

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

Fields of papers citing papers by Ali Wagdy Mohamed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Wagdy Mohamed

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Wagdy Mohamed. A scholar is included among the top collaborators of Ali Wagdy Mohamed 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 Ali Wagdy Mohamed. Ali Wagdy Mohamed 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.
Mohamed, Ali Wagdy, et al.. (2025). Enhanced Gaining-Sharing Knowledge-based algorithm. Results in Control and Optimization. 19. 100542–100542.
2.
Wang, Qing, Huijun Li, Zhang Yon, et al.. (2025). Surrogate-assisted evolutionary algorithm with adaptive local region search for high-dimensional expensive multi-objective optimization problems. Swarm and Evolutionary Computation. 100. 102232–102232.
3.
Hadi, Anas A., et al.. (2025). HorseNet: a novel deep learning approach for horse health classification. Indonesian Journal of Electrical Engineering and Computer Science. 38(1). 555–555. 2 indexed citations
4.
Mousavirad, Seyed Jalaleddin, et al.. (2024). GSK-LocS: Towards a more effective generalisation in population-based neural network training. Alexandria Engineering Journal. 109. 126–143. 1 indexed citations
6.
Attıa, Abdelouahab, et al.. (2024). A comprehensive review of vulnerabilities and attack strategies in cancelable biometric systems. Egyptian Informatics Journal. 27. 100511–100511. 3 indexed citations
7.
Kumar, Ashok, Sandeep Kautish, Abdulaziz S. Almazyad, et al.. (2024). GastroFuse-Net: an ensemble deep learning framework designed for gastrointestinal abnormality detection in endoscopic images. Mathematical Biosciences & Engineering. 21(8). 6847–6869.
8.
Sun, Jianyong, et al.. (2024). A Gradient-based Method for Differential Evolution Parameter Control by Smoothing. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 423–426. 1 indexed citations
10.
Anter, Ahmed M., Ali Wagdy Mohamed, Min Zhang, & Zhiguo Zhang. (2023). A robust intelligence regression model for monitoring Parkinson’s disease based on speech signals. Future Generation Computer Systems. 147. 316–327. 14 indexed citations
11.
Xiong, Guojiang, et al.. (2023). Improving fault tolerance in diagnosing power system failures with optimal hierarchical extreme learning machine. Reliability Engineering & System Safety. 236. 109300–109300. 12 indexed citations
12.
Madhu, G., Sandeep Kautish, Khalid A. Alnowibet, Hossam M. Zawbaa, & Ali Wagdy Mohamed. (2023). NIPUNA: A Novel Optimizer Activation Function for Deep Neural Networks. Axioms. 12(3). 246–246. 13 indexed citations
14.
Kautish, Sandeep, et al.. (2023). Accelerating Crop Yield: Multisensor Data Fusion and Machine Learning for Agriculture Text Classification. IEEE Access. 11. 20795–20805. 37 indexed citations
15.
Mohamed, Ali Wagdy, et al.. (2023). Inversion of Gravity Data with Multiplicative Regularization Using an Improved Adaptive Differential Evolution. Minerals. 13(8). 1027–1027. 1 indexed citations
16.
Banerjee, Mousumi, et al.. (2023). Enhancing Sine–Cosine mutation strategy with Lorentz distribution for solving engineering design problems. International Journal of Systems Assurance Engineering and Management. 15(4). 1536–1567. 1 indexed citations
17.
Jasser, Muhammed Basheer, et al.. (2022). Harris Hawk Optimization-Based Deep Neural Networks Architecture for Optimal Bidding in the Electricity Market. Mathematics. 10(12). 2094–2094. 14 indexed citations
18.
Jasser, Muhammed Basheer, et al.. (2022). An Optimized Discrete Dragonfly Algorithm Tackling the Low Exploitation Problem for Solving TSP. Mathematics. 10(19). 3647–3647. 11 indexed citations
19.
Agrawal, Prachi, et al.. (2021). A Novel Multi-Objective Nonlinear Discrete Binary Gaining-Sharing Knowledge-Based Optimization Algorithm. International Journal of Applied Metaheuristic Computing. 13(1). 1–25. 1 indexed citations
20.
Mohamed, Ali Wagdy, Anas A. Hadi, Ali Khater Mohamed, & Noor H. Awad. (2020). Evaluating the Performance of Adaptive GainingSharing Knowledge Based Algorithm on CEC 2020 Benchmark Problems. 1–8. 129 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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