Dalia Ezzat

692 total citations
8 papers, 462 citations indexed

About

Dalia Ezzat is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Neurology. According to data from OpenAlex, Dalia Ezzat has authored 8 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Neurology. Recurrent topics in Dalia Ezzat's work include Brain Tumor Detection and Classification (2 papers), Machine Learning and Data Classification (1 paper) and Water Quality Monitoring Technologies (1 paper). Dalia Ezzat is often cited by papers focused on Brain Tumor Detection and Classification (2 papers), Machine Learning and Data Classification (1 paper) and Water Quality Monitoring Technologies (1 paper). Dalia Ezzat collaborates with scholars based in Egypt, Kuwait and United Arab Emirates. Dalia Ezzat's co-authors include Aboul Ella Hassanien, Ashraf Darwish, Hassan Aboul-Ella, Adam Słowik, Nour Eldeen M. Khalifa, Mohamed Hamed N. Taha, Ashraf Darwish, Ayman Ahmed and Mona Soliman and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Applied Soft Computing.

In The Last Decade

Dalia Ezzat

7 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dalia Ezzat Egypt	6	195	141	108	63	49	8	462
Jianhua Qu China	10	276 1.4×	126 0.9×	136 1.3×	76 1.2×	59 1.2×	36	707
Amit Kumar Das India	8	205 1.1×	136 1.0×	69 0.6×	85 1.3×	35 0.7×	24	438
Shankar Thawkar India	14	228 1.2×	218 1.5×	44 0.4×	142 2.3×	48 1.0×	23	511
Aqib Ali Pakistan	10	100 0.5×	96 0.7×	132 1.2×	39 0.6×	20 0.4×	33	492
Samreen Naeem Pakistan	10	93 0.5×	95 0.7×	130 1.2×	39 0.6×	20 0.4×	26	434
Xiangyu Lǚ China	9	105 0.5×	47 0.3×	123 1.1×	65 1.0×	12 0.2×	32	339
Sujata Chakravarty India	12	168 0.9×	52 0.4×	88 0.8×	73 1.2×	12 0.2×	52	497
Sania Anam Pakistan	6	77 0.4×	81 0.6×	56 0.5×	37 0.6×	12 0.2×	19	345
Vandana Bharti India	9	153 0.8×	85 0.6×	154 1.4×	82 1.3×	93 1.9×	22	450
Hamoud Alshammari Saudi Arabia	11	98 0.5×	69 0.5×	111 1.0×	46 0.7×	7 0.1×	27	392

Countries citing papers authored by Dalia Ezzat

Since Specialization

Citations

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

Fields of papers citing papers by Dalia Ezzat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dalia Ezzat

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

All Works

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8 of 8 papers shown

1.

Ezzat, Dalia, et al.. (2024). An interpretable Bayesian deep learning-based approach for sustainable clean energy. Neural Computing and Applications. 36(27). 17145–17163. 1 indexed citations

2.

Ezzat, Dalia & Aboul Ella Hassanien. (2023). Optimized Bayesian convolutional neural networks for invasive breast cancer diagnosis system. Applied Soft Computing. 147. 110810–110810. 7 indexed citations

3.

Ezzat, Dalia, et al.. (2023). An optimized explainable artificial intelligence approach for sustainable clean water. Environment Development and Sustainability. 26(10). 25899–25919. 8 indexed citations

4.

Ezzat, Dalia, et al.. (2021). Multi-Objective Hybrid Artificial Intelligence Approach for Fault Diagnosis of Aerospace Systems. IEEE Access. 9. 41717–41730. 20 indexed citations

5.

Ezzat, Dalia, Aboul Ella Hassanien, & Hassan Aboul-Ella. (2020). An optimized deep learning architecture for the diagnosis of COVID-19 disease based on gravitational search optimization. Applied Soft Computing. 98. 106742–106742. 154 indexed citations

6.

Khalifa, Nour Eldeen M., Mohamed Hamed N. Taha, Dalia Ezzat, Adam Słowik, & Aboul Ella Hassanien. (2020). Artificial Intelligence Technique for Gene Expression by Tumor RNA-Seq Data: A Novel Optimized Deep Learning Approach. IEEE Access. 8. 22874–22883. 82 indexed citations

7.

Darwish, Ashraf, Dalia Ezzat, & Aboul Ella Hassanien. (2019). An optimized model based on convolutional neural networks and orthogonal learning particle swarm optimization algorithm for plant diseases diagnosis. Swarm and Evolutionary Computation. 52. 100616–100616. 190 indexed citations

8.

Ezzat, Dalia, et al.. (2018). WATER IN ISLAMIC ARCHITECTURE: STUDY OF THE WATER DISPENSARY (SABIL). SHILAP Revista de lepidopterología.

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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