Mohamed Loey

3.7k total citations · 4 hit papers
24 papers, 2.2k citations indexed

About

Mohamed Loey is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mohamed Loey has authored 24 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mohamed Loey's work include COVID-19 diagnosis using AI (11 papers), AI in cancer detection (6 papers) and Digital Imaging for Blood Diseases (5 papers). Mohamed Loey is often cited by papers focused on COVID-19 diagnosis using AI (11 papers), AI in cancer detection (6 papers) and Digital Imaging for Blood Diseases (5 papers). Mohamed Loey collaborates with scholars based in Egypt, United States and Taiwan. Mohamed Loey's co-authors include Nour Eldeen M. Khalifa, Gunasekaran Manogaran, Mohamed Hamed N. Taha, Florentín Smarandache, Seyedali Mirjalili, Ahmed El-Sawy, Hazem M. El‐Bakry, Hala H. Zayed, Shaker El–Sappagh and Ripon K. Chakrabortty and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sustainable Cities and Society and Neural Computing and Applications.

In The Last Decade

Mohamed Loey

23 papers receiving 2.1k citations

Hit Papers

A hybrid deep transfer learning model with machine learni... 2020 2026 2022 2024 2020 2020 2020 2021 100 200 300 400
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. A hybrid deep transfer learning model with machine learning methods for face mask detection in the era of the COVID-19 pandemic
    2020 457 citations Mohamed Loey, Gunasekaran Manogaran et al. Measurement profile →
  2. Within the Lack of Chest COVID-19 X-ray Dataset: A Novel Detection Model Based on GAN and Deep Transfer Learning
    2020 385 citations Mohamed Loey, Florentín Smarandache et al. Symmetry profile →
  3. Fighting against COVID-19: A novel deep learning model based on YOLO-v2 with ResNet-50 for medical face mask detection
    2020 322 citations Mohamed Loey, Gunasekaran Manogaran et al. Sustainable Cities and Society profile →
  4. A comprehensive survey of recent trends in deep learning for digital images augmentation
    2021 235 citations Nour Eldeen M. Khalifa, Mohamed Loey et al. Artificial Intelligence Review profile →

Peers

Mohamed Loey
Nour Eldeen M. Khalifa Egypt
Burhan Ergen Türkiye
Mesut Toğaçar Türkiye
Mugahed A. Al–antari South Korea
Saad Bin Abul Kashem Qatar
Idit Diamant Israel
Md Mamunur Rahaman China
Fatih Özyurt Türkiye
P. K. Gupta India
Anselmo Cardoso de Paiva Brazil
Nour Eldeen M. Khalifa Egypt
Mohamed Loey
Citations per year, relative to Mohamed Loey Mohamed Loey (= 1×) peers Nour Eldeen M. Khalifa

Countries citing papers authored by Mohamed Loey

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Loey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Loey

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Loey. A scholar is included among the top collaborators of Mohamed Loey 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 Loey. Mohamed Loey 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.
Taha, Mohamed Hamed N., et al.. (2025). Enhancing Data Privacy and Trust in E‐Learning: A Blockchain‐Based Access Control Protocol for Cloud Educational Systems. Concurrency and Computation Practice and Experience. 37(18-20).
2.
Khalifa, Nour Eldeen M., et al.. (2023). Cyber-Physical Systems for Industrial Transformation. 2 indexed citations
3.
Loey, Mohamed, Shaker El–Sappagh, & Seyedali Mirjalili. (2022). Bayesian-based optimized deep learning model to detect COVID-19 patients using chest X-ray image data. Computers in Biology and Medicine. 142. 105213–105213. 75 indexed citations
4.
Khalifa, Nour Eldeen M., Mohamed Loey, Ripon K. Chakrabortty, & Mohamed Hamed N. Taha. (2022). Within the Protection of COVID-19 Spreading: A Face Mask Detection Model Based on the Neutrosophic RGB with Deep Transfer Learning.. SHILAP Revista de lepidopterología. 2 indexed citations
5.
Khalifa, Nour Eldeen M., Florentín Smarandache, Gunasekaran Manogaran, & Mohamed Loey. (2021). A Study of the Neutrosophic Set Significance on Deep Transfer Learning Models: an Experimental Case on a Limited COVID-19 Chest X-ray Dataset. Cognitive Computation. 16(4). 1602–1611. 33 indexed citations
6.
7.
Loey, Mohamed, et al.. (2021). Face Completion Using Generative Adversarial Network with Pretrained Face Landmark Generator. International journal of intelligent engineering and systems. 14(2). 295–305. 2 indexed citations
8.
Loey, Mohamed & Seyedali Mirjalili. (2021). COVID-19 cough sound symptoms classification from scalogram image representation using deep learning models. Computers in Biology and Medicine. 139. 105020–105020. 42 indexed citations
9.
Khalifa, Nour Eldeen M., Mohamed Loey, & Seyedali Mirjalili. (2021). A comprehensive survey of recent trends in deep learning for digital images augmentation. Artificial Intelligence Review. 55(3). 2351–2377. 235 indexed citations breakdown →
10.
Khalifa, Nour Eldeen M., Gunasekaran Manogaran, Mohamed Hamed N. Taha, & Mohamed Loey. (2021). A deep learning semantic segmentation architecture for COVID‐19 lesions discovery in limited chest CT datasets. Expert Systems. 39(6). e12742–e12742. 17 indexed citations
11.
Loey, Mohamed, et al.. (2020). Deep Transfer Learning in Diagnosing Leukemia in Blood Cells. Computers. 9(2). 29–29. 75 indexed citations
12.
Loey, Mohamed, Gunasekaran Manogaran, Mohamed Hamed N. Taha, & Nour Eldeen M. Khalifa. (2020). A hybrid deep transfer learning model with machine learning methods for face mask detection in the era of the COVID-19 pandemic. Measurement. 167. 108288–108288. 457 indexed citations breakdown →
13.
Loey, Mohamed, Gunasekaran Manogaran, Mohamed Hamed N. Taha, & Nour Eldeen M. Khalifa. (2020). Fighting against COVID-19: A novel deep learning model based on YOLO-v2 with ResNet-50 for medical face mask detection. Sustainable Cities and Society. 65. 102600–102600. 322 indexed citations breakdown →
14.
Loey, Mohamed, Gunasekaran Manogaran, & Nour Eldeen M. Khalifa. (2020). A deep transfer learning model with classical data augmentation and CGAN to detect COVID-19 from chest CT radiography digital images. Neural Computing and Applications. 37(35-36). 29099–29111. 207 indexed citations
15.
16.
Loey, Mohamed, et al.. (2020). A Survey on Blood Image Diseases Detection Using Deep Learning. International Journal of Service Science Management Engineering and Technology. 11(3). 18–32. 7 indexed citations
17.
Loey, Mohamed, Florentín Smarandache, & Nour Eldeen M. Khalifa. (2020). Within the Lack of Chest COVID-19 X-ray Dataset: A Novel Detection Model Based on GAN and Deep Transfer Learning. Symmetry. 12(4). 651–651. 385 indexed citations breakdown →
18.
Khalifa, Nour Eldeen M., et al.. (2019). Deep Transfer Learning Models for Medical Diabetic Retinopathy Detection. Acta Informatica Medica. 27(5). 327–327. 91 indexed citations
19.
El-Sawy, Ahmed, Mohamed Loey, & Hazem M. El‐Bakry. (2017). Arabic Handwritten Characters Recognition Using Convolutional Neural Network. WSEAS Transactions on Computers archive. 5. 111 indexed citations
20.
El-Sawy, Ahmed, Mohamed Loey, & Hazem M. El‐Bakry. (2016). Arab Kids Tutor (AKT) System For Handwriting Stroke Errors Detection. International Journal of Technology Enhancements and Emerging Engineering Research. 4(3). 42–49. 7 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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