Hossam El-Din Moustafa

942 total citations · 1 hit paper
56 papers, 536 citations indexed

About

Hossam El-Din Moustafa is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hossam El-Din Moustafa has authored 56 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hossam El-Din Moustafa's work include AI in cancer detection (12 papers), Brain Tumor Detection and Classification (11 papers) and Artificial Intelligence in Healthcare (10 papers). Hossam El-Din Moustafa is often cited by papers focused on AI in cancer detection (12 papers), Brain Tumor Detection and Classification (11 papers) and Artificial Intelligence in Healthcare (10 papers). Hossam El-Din Moustafa collaborates with scholars based in Egypt, United States and Saudi Arabia. Hossam El-Din Moustafa's co-authors include Hesham Ali, Ahmed Elnakib, Fahmi Khalifa, Hatem Khater, Hanan M. Amer, Ehab H. Abdelhay, Amr E. Eldin Rashed, Idris Ismail, Fayez W. Zaki and Gehad A. Saleh and has published in prestigious journals such as Scientific Reports, IEEE Access and Cancers.

In The Last Decade

Hossam El-Din Moustafa

44 papers receiving 510 citations

Hit Papers

An MRI-based deep learning approach for accurate detectio... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hossam El-Din Moustafa Egypt 12 223 220 159 110 110 56 536
Ahsan Bin Tufail Pakistan 9 146 0.7× 162 0.7× 132 0.8× 63 0.6× 84 0.8× 15 378
Umair Khan Pakistan 9 160 0.7× 241 1.1× 84 0.5× 64 0.6× 109 1.0× 27 597
Amir Ebrahimi Ghahnavieh Iran 8 336 1.5× 220 1.0× 106 0.7× 115 1.0× 135 1.2× 12 570
Dan Pan China 8 186 0.8× 187 0.8× 72 0.5× 69 0.6× 70 0.6× 28 474
Ho Yub Jung South Korea 10 179 0.8× 127 0.6× 57 0.4× 70 0.6× 181 1.6× 30 437
Deevyankar Agarwal Spain 6 78 0.3× 182 0.8× 185 1.2× 24 0.2× 81 0.7× 10 413
S. Prabha India 10 113 0.5× 72 0.3× 96 0.6× 50 0.5× 62 0.6× 49 278
Mouloud Adel France 14 129 0.6× 111 0.5× 320 2.0× 34 0.3× 295 2.7× 45 626
Ahmad Al Smadi China 9 145 0.7× 132 0.6× 76 0.5× 52 0.5× 74 0.7× 33 393
Sapiah Sakri Saudi Arabia 7 58 0.3× 205 0.9× 50 0.3× 75 0.7× 59 0.5× 16 374

Countries citing papers authored by Hossam El-Din Moustafa

Since Specialization
Citations

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

Fields of papers citing papers by Hossam El-Din Moustafa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hossam El-Din Moustafa. 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 Hossam El-Din Moustafa. The network helps show where Hossam El-Din Moustafa may publish in the future.

Co-authorship network of co-authors of Hossam El-Din Moustafa

This figure shows the co-authorship network connecting the top 25 collaborators of Hossam El-Din Moustafa. A scholar is included among the top collaborators of Hossam El-Din Moustafa 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 Hossam El-Din Moustafa. Hossam El-Din Moustafa 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.
Moustafa, Hossam El-Din, et al.. (2025). Utilizing voting classifiers for enhanced analysis and diagnosis of cardiac conditions. Results in Engineering. 26. 104636–104636. 4 indexed citations
2.
Amer, Hanan M., et al.. (2024). Automatic measurement of head circumference in fetal ultrasound images using a squeeze atrous pooling UNet. Biomedical Signal Processing and Control. 103. 107434–107434. 1 indexed citations
3.
Moustafa, Hossam El-Din, et al.. (2024). Improved Unsupervised Deep Boltzmann Learning Approach for Accurate Hand Vein Recognition. IEEE Access. 12. 18488–18507. 4 indexed citations
4.
Moustafa, Hossam El-Din, et al.. (2024). Deep Learning Based Classification of Focal Liver Lesions with 3 and 4 Phase Contrast-Enhanced CT Protocols. MEJ Mansoura Engineering Journal. 49(3). 1 indexed citations
5.
Moustafa, Hossam El-Din, et al.. (2024). Palmprint Authentication Techniques: A Comparative Study. 386–393.
6.
El‐kenawy, El‐Sayed M., et al.. (2024). Optimization of Feature Selection Using Greylag Goose Optimization Algorithm for Monkeypox. 1(2). 1–16. 1 indexed citations
7.
Amer, Hanan M., et al.. (2024). Empowering health data protection: machine learning-enabled diabetes classification in a secure cloud-based IoT framework. Indonesian Journal of Electrical Engineering and Computer Science. 34(2). 1110–1110. 2 indexed citations
8.
Moustafa, Hossam El-Din, et al.. (2023). A deep learning framework for early diagnosis of Alzheimer’s disease on MRI images. Multimedia Tools and Applications. 83(2). 3767–3799. 60 indexed citations
9.
Alksas, Ahmed, Mohamed Shehata, Ali Mahmoud, et al.. (2023). Exploring Neoadjuvant Chemotherapy, Predictive Models, Radiomic, and Pathological Markers in Breast Cancer: A Comprehensive Review. Cancers. 15(21). 5288–5288. 7 indexed citations
10.
Moustafa, Hossam El-Din, et al.. (2023). A deep convolutional structure-based approach for accurate recognition of skin lesions in dermoscopy images. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 13(5). 5792–5792. 3 indexed citations
11.
Moustafa, Hossam El-Din, et al.. (2022). Classification of focal liver disease in egyptian patients using ultrasound images and convolutional neural networks. Indonesian Journal of Electrical Engineering and Computer Science. 27(2). 793–793. 2 indexed citations
12.
Khalifa, Fahmi, et al.. (2022). A deep learning based system for accurate diagnosis of brain tumors using T1-w MRI. Indonesian Journal of Electrical Engineering and Computer Science. 28(2). 1192–1192. 8 indexed citations
13.
Moustafa, Hossam El-Din, et al.. (2022). Deep segmentation of the liver and the hepatic tumors from abdomen CT images. International Journal of Electrical and Computer Engineering (IJECE). 12(1).
14.
Rashed, Amr E. Eldin, et al.. (2021). Accelerating DNA pairwise sequence alignment using FPGA and a customized convolutional neural network. Computers & Electrical Engineering. 92. 107112–107112. 15 indexed citations
15.
Moustafa, Hossam El-Din, et al.. (2020). Feature Level Fusion of Iris and Voice. 40(1). 55–63. 1 indexed citations
16.
Elnakib, Ahmed, et al.. (2020). Breast Cancer Detection, Diagnosis, and Prediction. 9(6). 38–42. 1 indexed citations
17.
Ali, Hesham, et al.. (2020). Alzheimer Disease Early Detection Using Convolutional Neural Networks. 1–6. 19 indexed citations
18.
Abdelhay, Ehab H., Fayez W. Zaki, Sherif Kishk, & Hossam El-Din Moustafa. (2015). Uplink LTE-A Performance Improvement Using Synchronous Direct and Multi-hop Transmission. 1(1). 43–51. 2 indexed citations
19.
Moustafa, Hossam El-Din, et al.. (2012). Assessing Problem-Based Learning : A Case Study of a Medically Oriented Biophysics Problem-Based Learning Course. Data Archiving and Networked Services (DANS). 8(12). 725–728. 2 indexed citations
20.
Moustafa, Hossam El-Din, et al.. (2012). A new combination method for background subtraction in video sequences. 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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