Mohamed Ezz

758 total citations
47 papers, 447 citations indexed

About

Mohamed Ezz is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohamed Ezz has authored 47 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 11 papers in Information Systems and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohamed Ezz's work include Biometric Identification and Security (6 papers), AI in cancer detection (6 papers) and Face recognition and analysis (5 papers). Mohamed Ezz is often cited by papers focused on Biometric Identification and Security (6 papers), AI in cancer detection (6 papers) and Face recognition and analysis (5 papers). Mohamed Ezz collaborates with scholars based in Saudi Arabia, Egypt and South Africa. Mohamed Ezz's co-authors include Hany Harb, Murtada K. Elbashir, Mohanad Mohammed, Meshrif Alruily, Saleh Naif Almuayqil, Amjad Alsirhani, Wafaa Elakel, Mahmoud ElHefnawi, Wael Said and Mohammed Shokr and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Mohamed Ezz

39 papers receiving 408 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohamed Ezz Saudi Arabia 13 159 97 51 47 46 47 447
Ramjeevan Singh Thakur India 9 167 1.1× 147 1.5× 63 1.2× 48 1.0× 23 0.5× 43 340
Faris Kateb Saudi Arabia 11 99 0.6× 31 0.3× 60 1.2× 26 0.6× 33 0.7× 35 303
Aina Musdholifah Indonesia 10 220 1.4× 124 1.3× 49 1.0× 27 0.6× 10 0.2× 76 411
Mansur Alp Toçoğlu Türkiye 8 291 1.8× 62 0.6× 36 0.7× 20 0.4× 20 0.4× 11 427
Serkan Savaş Türkiye 11 108 0.7× 35 0.4× 58 1.1× 32 0.7× 9 0.2× 37 372
Zongda Wu China 5 275 1.7× 43 0.4× 60 1.2× 11 0.2× 22 0.5× 7 429
Mohamed Reda Bouadjenek Australia 13 209 1.3× 172 1.8× 63 1.2× 18 0.4× 16 0.3× 52 472
Chenglang Lu China 10 207 1.3× 82 0.8× 80 1.6× 17 0.4× 8 0.2× 20 407
Mohammad Shahadat Hossain Bangladesh 12 125 0.8× 60 0.6× 26 0.5× 42 0.9× 7 0.2× 39 378
Titin Siswantining Indonesia 9 123 0.8× 74 0.8× 38 0.7× 39 0.8× 14 0.3× 76 394

Countries citing papers authored by Mohamed Ezz

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Ezz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Ezz

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Ezz. A scholar is included among the top collaborators of Mohamed Ezz 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 Mohamed Ezz. Mohamed Ezz 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.
2.
Alsayat, Ahmed, et al.. (2025). Enhancing cardiac diagnostics: a deep learning ensemble approach for precise ECG image classification. Journal Of Big Data. 12(1). 5 indexed citations
3.
Mohamed, Ehab R., et al.. (2025). Decentralized Identity Management in Cloud Computing: A Blockchain‐Based Solution With Automatic Provisioning Techniques. International Journal of Intelligent Systems. 2025(1). 1 indexed citations
4.
El-Aziz, A. A. Abd, et al.. (2025). Ensemble deep learning for Alzheimer’s disease diagnosis using MRI: Integrating features from VGG16, MobileNet, and InceptionResNetV2 models. PLoS ONE. 20(4). e0318620–e0318620. 1 indexed citations
5.
6.
Alruily, Meshrif, et al.. (2025). Comprehensive Network Analysis of Lung Cancer Biomarkers Identifying Key Genes Through RNA‐Seq Data and PPI Networks. International Journal of Intelligent Systems. 2025(1).
7.
Aldughayfiq, Bader, et al.. (2025). AI-based prediction of traffic crash severity for improving road safety and transportation efficiency. Scientific Reports. 15(1). 27468–27468.
8.
Aldughayfiq, Bader, et al.. (2025). Optimized YOLOv8 for enhanced breast tumor segmentation in ultrasound imaging. Discover Oncology. 16(1). 1152–1152.
9.
Alruily, Meshrif, et al.. (2024). Enhancing Breast Cancer Detection in Ultrasound Images: An Innovative Approach Using Progressive Fine‐Tuning of Vision Transformer Models. International Journal of Intelligent Systems. 2024(1). 6 indexed citations
10.
Ezz, Mohamed, et al.. (2024). Computational challenges and solutions: Prime number generation for enhanced data security. PLoS ONE. 19(11). e0311782–e0311782.
11.
Jamel, Leila, et al.. (2024). Using Machine Learning for Detection and Prediction of Chronic Diseases. IEEE Access. 12. 177674–177691. 1 indexed citations
12.
Alruily, Meshrif, et al.. (2023). Automated Arabic Long-Tweet Classification Using Transfer Learning with BERT. Applied Sciences. 13(6). 3482–3482. 14 indexed citations
13.
Alruily, Meshrif, et al.. (2023). Breast Ultrasound Images Augmentation and Segmentation Using GAN with Identity Block and Modified U-Net 3+. Sensors. 23(20). 8599–8599. 13 indexed citations
14.
Ezz, Mohamed, et al.. (2023). Strengthening Cloud Security: An Innovative Multi-Factor Multi-Layer Authentication Framework for Cloud User Authentication. Applied Sciences. 13(19). 10871–10871. 25 indexed citations
15.
Alruily, Meshrif, et al.. (2023). A-Tuning Ensemble Machine Learning Technique for Cerebral Stroke Prediction. Applied Sciences. 13(8). 5047–5047. 18 indexed citations
16.
Ezz, Mohamed, et al.. (2023). Innovative Hetero-Associative Memory Encoder (HAMTE) for Palmprint Template Protection. Computer Systems Science and Engineering. 46(1). 619–636. 1 indexed citations
17.
Alruily, Meshrif, et al.. (2023). Innovative Forward Fusion Feature Selection Algorithm for Sentiment Analysis Using Supervised Classification. Applied Sciences. 13(4). 2074–2074. 9 indexed citations
18.
Ezz, Mohamed, et al.. (2021). Derivation of “Egyptian varices prediction (EVP) index”: A novel noninvasive index for diagnosing esophageal varices in HCV Patients. Journal of Advanced Research. 35. 87–97. 3 indexed citations
19.
Ezz, Mohamed, et al.. (2016). An Intrusion Detection and Prevention System based on Automatic Learning of Traffic Anomalies. International Journal of Computer Network and Information Security. 8(1). 53–60. 2 indexed citations
20.
Mohamed, Amal Ahmed, et al.. (2015). Vitamin D is it a Key in Egyptian NAFLD Pathogenesis?. Journal of Gastroenterology and Hepatology Research. 4(5). 1605–1609. 3 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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