Waleed M. Mohamed

1.4k total citations
23 papers, 931 citations indexed

About

Waleed M. Mohamed is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Waleed M. Mohamed has authored 23 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 6 papers in Management Science and Operations Research. Recurrent topics in Waleed M. Mohamed's work include Metaheuristic Optimization Algorithms Research (6 papers), Computational Drug Discovery Methods (4 papers) and Stock Market Forecasting Methods (4 papers). Waleed M. Mohamed is often cited by papers focused on Metaheuristic Optimization Algorithms Research (6 papers), Computational Drug Discovery Methods (4 papers) and Stock Market Forecasting Methods (4 papers). Waleed M. Mohamed collaborates with scholars based in Egypt, Mexico and China. Waleed M. Mohamed's co-authors include Essam H. Houssein, Mosa E. Hosney, M. Hassaballah, Mohamed Elhoseny, Diego Oliva, Mohamed A. Mahdy, Maude Josée Blondin, Awais Manzoor, Ram Sarkar and Eman M. G. Younis and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Internet of Things Journal.

In The Last Decade

Waleed M. Mohamed

20 papers receiving 908 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Waleed M. Mohamed Egypt 13 542 230 137 97 90 23 931
Cătălin Stoean Romania 19 602 1.1× 120 0.5× 150 1.1× 47 0.5× 124 1.4× 75 1.1k
Yu Zeng China 16 348 0.6× 308 1.3× 125 0.9× 42 0.4× 147 1.6× 54 948
Mehreen Saeed Pakistan 9 705 1.3× 257 1.1× 160 1.2× 60 0.6× 166 1.8× 26 1.1k
Junkai Ji China 20 742 1.4× 158 0.7× 227 1.7× 79 0.8× 122 1.4× 68 1.2k
Ender Sevinç Türkiye 8 488 0.9× 203 0.9× 110 0.8× 45 0.5× 120 1.3× 18 946
Irfan Younas Pakistan 12 643 1.2× 303 1.3× 187 1.4× 66 0.7× 211 2.3× 38 1.1k
Zhenyu Lei Japan 20 504 0.9× 228 1.0× 128 0.9× 51 0.5× 109 1.2× 74 839
Prachi Agrawal India 12 529 1.0× 158 0.7× 99 0.7× 70 0.7× 220 2.4× 39 967
Ruxandra Stoean Romania 16 496 0.9× 123 0.5× 132 1.0× 31 0.3× 120 1.3× 71 929

Countries citing papers authored by Waleed M. Mohamed

Since Specialization
Citations

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

Fields of papers citing papers by Waleed M. Mohamed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Waleed M. Mohamed

This figure shows the co-authorship network connecting the top 25 collaborators of Waleed M. Mohamed. A scholar is included among the top collaborators of Waleed M. 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 Waleed M. Mohamed. Waleed M. 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
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2.
Houssein, Essam H., et al.. (2025). A hybrid Harris Hawks Optimization with Support Vector Regression for air quality forecasting. Scientific Reports. 15(1). 2275–2275. 2 indexed citations
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Mohamed, Waleed M., et al.. (2025). Enhanced sentiment classification of phone brands on Twitter with a modified walrus optimizer and novel ensemble method. Neural Computing and Applications. 37(19). 14299–14325.
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Houssein, Essam H., et al.. (2024). Internet of Things in Smart Cities: Comprehensive Review, Open Issues, and Challenges. IEEE Internet of Things Journal. 11(21). 34941–34952. 19 indexed citations
7.
Houssein, Essam H., Mosa E. Hosney, Marwa M. Emam, et al.. (2024). Optimizing feedforward neural networks using a modified weighted mean of vectors: Case study chemical datasets. Swarm and Evolutionary Computation. 89. 101656–101656. 2 indexed citations
8.
Houssein, Essam H., Mosa E. Hosney, Diego Oliva, et al.. (2023). An efficient discrete rat swarm optimizer for global optimization and feature selection in chemoinformatics. Knowledge-Based Systems. 275. 110697–110697. 16 indexed citations
9.
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., et al.. (2022). An efficient binary harris hawks optimization based on quantum SVM for cancer classification tasks. IET conference proceedings.. 2021(8). 247–258. 8 indexed citations
11.
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
12.
Houssein, Essam H., et al.. (2022). Machine learning in the quantum realm: The state-of-the-art, challenges, and future vision. Expert Systems with Applications. 194. 116512–116512. 84 indexed citations
13.
Houssein, Essam H., et al.. (2021). Artificial Neural Networks for Stock Market Prediction: A Comprehensive Review. Studies in computational intelligence. 409–444. 4 indexed citations
14.
Houssein, Essam H., et al.. (2021). An efficient equilibrium optimizer with support vector regression for stock market prediction. Neural Computing and Applications. 34(4). 3165–3200. 48 indexed citations
15.
Houssein, Essam H., et al.. (2021). Hybrid slime mould algorithm with adaptive guided differential evolution algorithm for combinatorial and global optimization problems. Expert Systems with Applications. 174. 114689–114689. 134 indexed citations
16.
Houssein, Essam H., Nabil Neggaz, Mosa E. Hosney, Waleed M. Mohamed, & M. Hassaballah. (2021). Enhanced Harris hawks optimization with genetic operators for selection chemical descriptors and compounds activities. Neural Computing and Applications. 33(20). 13601–13618. 53 indexed citations
17.
Houssein, Essam H., et al.. (2021). An efficient slime mould algorithm for solving multi-objective optimization problems. Expert Systems with Applications. 187. 115870–115870. 93 indexed citations
18.
Houssein, Essam H., Mosa E. Hosney, Mohamed Elhoseny, et al.. (2020). Hybrid Harris hawks optimization with cuckoo search for drug design and discovery in chemoinformatics. Scientific Reports. 10(1). 14439–14439. 88 indexed citations
19.
Houssein, Essam H., et al.. (2020). Assess deep learning models for Egyptian exchange prediction using nonlinear artificial neural networks. Neural Computing and Applications. 33(11). 5965–5987. 24 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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