El‐Sayed A. El‐Dahshan

3.4k total citations · 2 hit papers
54 papers, 2.4k citations indexed

About

El‐Sayed A. El‐Dahshan is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, El‐Sayed A. El‐Dahshan has authored 54 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 13 papers in Cardiology and Cardiovascular Medicine and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in El‐Sayed A. El‐Dahshan's work include ECG Monitoring and Analysis (13 papers), High-Energy Particle Collisions Research (9 papers) and Particle physics theoretical and experimental studies (9 papers). El‐Sayed A. El‐Dahshan is often cited by papers focused on ECG Monitoring and Analysis (13 papers), High-Energy Particle Collisions Research (9 papers) and Particle physics theoretical and experimental studies (9 papers). El‐Sayed A. El‐Dahshan collaborates with scholars based in Egypt, United Kingdom and United States. El‐Sayed A. El‐Dahshan's co-authors include Abdel-Badeeh M. Salem, Heba Mohsen, El-Sayed M. El-Horbaty, Abdel-Badeeh M. Salem, Kenneth Revett, Mahmoud M. Bassiouni, Ahmed Hagag, Manal A. Ismail, U. Rajendra Acharya and Aboul Ella Hassanien and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

El‐Sayed A. El‐Dahshan

47 papers receiving 2.2k citations

Hit Papers

Classification using deep learning neural networks for br... 2014 2026 2018 2022 2017 2014 200 400 600
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.

  1. Classification using deep learning neural networks for brain tumors
    2017 684 citations Heba Mohsen, El‐Sayed A. El‐Dahshan et al. profile →
  2. Computer-aided diagnosis of human brain tumor through MRI: A survey and a new algorithm
    2014 482 citations El‐Sayed A. El‐Dahshan, Heba Mohsen et al. Expert Systems with Applications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
El‐Sayed A. El‐Dahshan Egypt 17 1.4k 1.2k 775 438 270 54 2.4k
Fatih Özyurt Türkiye 15 398 0.3× 779 0.6× 723 0.9× 640 1.5× 94 0.3× 63 1.6k
Junding Sun China 18 358 0.3× 612 0.5× 462 0.6× 320 0.7× 143 0.5× 90 1.5k
Kebin Jia China 26 242 0.2× 895 0.7× 361 0.5× 454 1.0× 479 1.8× 235 2.3k
Zhifan Gao China 31 175 0.1× 818 0.7× 414 0.5× 1.1k 2.4× 630 2.3× 111 2.5k
Kaijian Xia China 19 165 0.1× 399 0.3× 401 0.5× 259 0.6× 128 0.5× 94 1.3k
Shuihua Wang United Kingdom 20 185 0.1× 417 0.3× 502 0.6× 385 0.9× 128 0.5× 66 1.4k
Albert C. S. Chung Hong Kong 24 170 0.1× 1.8k 1.4× 288 0.4× 495 1.1× 171 0.6× 113 2.2k
Shihui Ying China 24 265 0.2× 1.0k 0.8× 670 0.9× 435 1.0× 187 0.7× 124 2.2k
Chua Kuang Chua Singapore 28 136 0.1× 786 0.6× 405 0.5× 1.4k 3.1× 241 0.9× 36 2.7k
Savita Gupta India 22 161 0.1× 951 0.8× 447 0.6× 393 0.9× 148 0.5× 122 1.7k

Countries citing papers authored by El‐Sayed A. El‐Dahshan

Since Specialization
Citations

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

Fields of papers citing papers by El‐Sayed A. El‐Dahshan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by El‐Sayed A. El‐Dahshan. 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 El‐Sayed A. El‐Dahshan. The network helps show where El‐Sayed A. El‐Dahshan may publish in the future.

Co-authorship network of co-authors of El‐Sayed A. El‐Dahshan

This figure shows the co-authorship network connecting the top 25 collaborators of El‐Sayed A. El‐Dahshan. A scholar is included among the top collaborators of El‐Sayed A. El‐Dahshan 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 El‐Sayed A. El‐Dahshan. El‐Sayed A. El‐Dahshan 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.
El‐Dahshan, El‐Sayed A., et al.. (2025). Probing a novel neutral heavy gauge boson within the mono-Z′ portal at the HL-LHC. Chinese Journal of Physics. 97. 100–108.
2.
Mohamed, R. A., et al.. (2024). Computational intelligent techniques for predicting optical behavior of different materials. Optik. 313. 171986–171986.
3.
Mohamed, R. A., et al.. (2024). Investigation of optical properties of molybdenum trioxide (MoO3) thin films using neural networks. The European Physical Journal Plus. 139(5). 6 indexed citations
4.
El‐Dahshan, El‐Sayed A., Mahmoud M. Bassiouni, Smith K. Khare, Ru‐San Tan, & U. Rajendra Acharya. (2023). ExHyptNet: An explainable diagnosis of hypertension using EfficientNet with PPG signals. Expert Systems with Applications. 239. 122388–122388. 27 indexed citations
5.
6.
Melgani, Farid, et al.. (2022). Pixel-Wise Classification of Hyperspectral Images With 1D Convolutional SVM Networks. IEEE Access. 10. 133174–133185. 11 indexed citations
7.
Bassiouni, Mahmoud M., et al.. (2022). Automated Detection of COVID-19 Using Deep Learning Approaches with Paper-Based ECG Reports. Circuits Systems and Signal Processing. 41(10). 5535–5577. 16 indexed citations
8.
9.
El‐Dahshan, El‐Sayed A., et al.. (2020). An Efficient Computational Approach for Phonocardiogram Signals Analysis and Normal/Abnormal heart sounds diagnosis. Arab Journal of Nuclear Sciences and Applications. 53(3). 162–177.
10.
El‐Dahshan, El‐Sayed A. & Mahmoud M. Bassiouni. (2019). Intelligent methodologies for cardiac sound signals analysis and characterization in cepstrum and time‐scale domains. Computational Intelligence. 36(2). 427–458. 5 indexed citations
11.
Bassiouni, Mahmoud M., et al.. (2018). Intelligent hybrid approaches for human ECG signals identification. Signal Image and Video Processing. 12(5). 941–949. 53 indexed citations
12.
El‐Dahshan, El‐Sayed A., et al.. (2017). Heart Diseases Diagnosis Using Intelligent Algorithm Based on PCG Signal Analysis. Circuits and Systems. 8(7). 184–190. 26 indexed citations
13.
El‐Dahshan, El‐Sayed A., et al.. (2015). Mathematical modelling for pseudorapidity distribution of hadron-hadron collisions. The European Physical Journal Plus. 130(1). 2 indexed citations
14.
El‐Dahshan, El‐Sayed A., Heba Mohsen, Kenneth Revett, & Abdel-Badeeh M. Salem. (2014). Computer-aided diagnosis of human brain tumor through MRI: A survey and a new algorithm. Expert Systems with Applications. 41(11). 5526–5545. 482 indexed citations breakdown →
15.
Mohsen, Heba, El‐Sayed A. El‐Dahshan, & Abdel-Badeeh M. Salem. (2012). A machine learning technique for MRI brain images. 21 indexed citations
16.
El‐Dahshan, El‐Sayed A.. (2010). Application of genetic programming for proton-proton interactions. Open Physics. 9(3). 874–883. 4 indexed citations
17.
Salem, Abdel-Badeeh M., Kenneth Revett, & El‐Sayed A. El‐Dahshan. (2009). Machine learning in electrocardiogram diagnosis. 429–433. 16 indexed citations
18.
El‐Dahshan, El‐Sayed A., et al.. (2009). A Hybrid Technique for Automatic MRI Brain Images Classification. SHILAP Revista de lepidopterología. 48 indexed citations
19.
Revett, Kenneth, Florin Gorunescu, Abdel-Badeeh M. Salem, & El‐Sayed A. El‐Dahshan. (2009). Evaluation of the Feature Space of an Erythematosquamous Dataset Using Rough Sets. Annals of the University of Craiova Mathematics and Computer Science Series. 36(2). 123–130. 9 indexed citations
20.
El‐Dahshan, El‐Sayed A., et al.. (2009). Hybrid intelligent techniques for MRI brain images classification. Digital Signal Processing. 20(2). 433–441. 416 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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