Enas Elgeldawi

838 total citations · 2 hit papers
13 papers, 505 citations indexed

About

Enas Elgeldawi is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Enas Elgeldawi has authored 13 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 4 papers in Artificial Intelligence and 3 papers in Computational Theory and Mathematics. Recurrent topics in Enas Elgeldawi's work include Computational Drug Discovery Methods (3 papers), UAV Applications and Optimization (3 papers) and Sentiment Analysis and Opinion Mining (2 papers). Enas Elgeldawi is often cited by papers focused on Computational Drug Discovery Methods (3 papers), UAV Applications and Optimization (3 papers) and Sentiment Analysis and Opinion Mining (2 papers). Enas Elgeldawi collaborates with scholars based in Egypt, United States and Saudi Arabia. Enas Elgeldawi's co-authors include Awny Sayed, Alaa M. Zaki, Yaseen A. M. M. Elshaier, Heba Askr, Aboul Ella Hassanien, Damla Turgut, Begümhan Turgut, Heba Mamdouh Farghaly, Ashraf Darwish and Hassan Aboul-Ella and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Scientific Reports and Artificial Intelligence Review.

In The Last Decade

Enas Elgeldawi

12 papers receiving 487 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.

Hyperparameter Tuning for Machine Learning Algorithms Used for Arabic Sentiment Analysis

2021 253 citations Enas Elgeldawi, Awny Sayed et al. Informatics profile →
Deep learning in drug discovery: an integrative review and future challenges

2022 181 citations Heba Askr, Enas Elgeldawi et al. Artificial Intelligence Review profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Enas Elgeldawi Egypt	7	153	112	101	49	42	13	505
Wenjia Wang China	13	104 0.7×	73 0.7×	129 1.3×	41 0.8×	25 0.6×	61	500
Hu Li China	8	132 0.9×	121 1.1×	86 0.9×	21 0.4×	25 0.6×	34	386
Xiaohong Li China	15	137 0.9×	220 2.0×	207 2.0×	21 0.4×	51 1.2×	31	815
Xiaocai Zhang China	14	86 0.6×	86 0.8×	145 1.4×	36 0.7×	13 0.3×	44	559
Yashuang Mu China	8	139 0.9×	55 0.5×	58 0.6×	18 0.4×	52 1.2×	25	438
Lili Li China	14	154 1.0×	88 0.8×	44 0.4×	82 1.7×	52 1.2×	61	664
Alexander Karlsson Sweden	10	132 0.9×	130 1.2×	98 1.0×	40 0.8×	22 0.5×	37	418
Kaijun Wang China	12	149 1.0×	32 0.3×	85 0.8×	58 1.2×	39 0.9×	29	538
Qingqing Zhang China	12	154 1.0×	49 0.4×	36 0.4×	67 1.4×	28 0.7×	61	417
Rafael Gomes Mantovani Brazil	12	239 1.6×	30 0.3×	49 0.5×	76 1.6×	62 1.5×	34	594

Countries citing papers authored by Enas Elgeldawi

Since Specialization

Citations

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

Fields of papers citing papers by Enas Elgeldawi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Enas Elgeldawi. 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 Enas Elgeldawi. The network helps show where Enas Elgeldawi may publish in the future.

Co-authorship network of co-authors of Enas Elgeldawi

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

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Askr, Heba, Marwa A. A. Fayed, Heba Mamdouh Farghaly, et al.. (2025). Exploring the anticancer activities of Sulfur and magnesium oxide through integration of deep learning and fuzzy rough set analyses based on the features of Vidarabine alkaloid. Scientific Reports. 15(1). 2224–2224. 2 indexed citations

2.

Askr, Heba, et al.. (2025). Artificial intelligence for sustainable green hydrogen production: A systematic literature review. Renewable and Sustainable Energy Reviews. 224. 116071–116071.

3.

Farghaly, Heba Mamdouh, Enas Elgeldawi, Heba Askr, et al.. (2023). A deep learning predictive model for public health concerns and hesitancy toward the COVID-19 vaccines. Scientific Reports. 13(1). 9171–9171. 7 indexed citations

4.

Sayed, Awny, et al.. (2022). Split-n-Swap: A New Modification of the Twofish Block Cipher Algorithm. Computers, materials & continua/Computers, materials & continua (Print). 74(1). 1723–1734. 2 indexed citations

5.

Elgeldawi, Enas, et al.. (2022). UAV Charging Station Placement in Opportunistic Networks. Drones. 6(10). 293–293. 13 indexed citations

6.

Askr, Heba, et al.. (2022). Deep learning in drug discovery: an integrative review and future challenges. Artificial Intelligence Review. 56(7). 5975–6037. 181 indexed citations breakdown →

7.

Girgis, Moheb R., et al.. (2022). Ensemble Machine Learning to Enhance Q8 Protein Secondary Structure燩rediction. Computers, materials & continua/Computers, materials & continua (Print). 73(2). 3951–3967. 1 indexed citations

8.

Elgeldawi, Enas, et al.. (2021). Placement of Package Delivery Center for UAVs with Machine Learning. 2021 IEEE Global Communications Conference (GLOBECOM). 5 indexed citations

9.

Elgeldawi, Enas, et al.. (2021). Hyperparameter Tuning for Machine Learning Algorithms Used for Arabic Sentiment Analysis. Informatics. 8(4). 79–79. 253 indexed citations breakdown →

10.

Elgeldawi, Enas, et al.. (2021). Charging Station Placement in Unmanned Aerial Vehicle Aided Opportunistic Networks. 1–5. 7 indexed citations

11.

Sayed, Awny, et al.. (2020). Sentiment Analysis for Arabic Reviews using Machine Learning Classification Algorithms. 56–63. 15 indexed citations

12.

Elgeldawi, Enas, et al.. (2019). A Comparative Analysis of Symmetric Algorithms in Cloud Computing: A Survey. International Journal of Computer Applications. 182(48). 7–16. 15 indexed citations

13.

Radwan, Ahmed, Tarek M. Mahmoud, Moheb R. Girgis, & Enas Elgeldawi. (2000). Improving the Efficiency of the Flow Deviation Method for Solving the Optimal Routing Problem in a Packet-switched Computer Network.. 22. 4 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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