Mohamed Loey
- Radiology, Nuclear Medicine and Imaging top 1%
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Pulmonary and Respiratory Medicine top 10%
- Health Informatics top 0.5%
- Co-authors
- Nour Eldeen M. KhalifaGunasekaran ManogaranMohamed Hamed N. TahaFlorentín SmarandacheSeyedali MirjaliliAhmed El-SawyHazem M. El‐BakryHala H. Zayed
- Topics
- COVID-19 diagnosis using AI (11 papers)AI in cancer detection (6 papers)Digital Imaging for Blood Diseases (5 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaSustainable Cities and SocietyNeural Computing and Applications
- Partner nations
- EgyptUnited StatesTaiwan
In The Last Decade
Mohamed Loey
23 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Radiology, Nuclear Medicine and Imaging 1.1k
- Computer Vision and Pattern Recognition 953
- Artificial Intelligence 793
- Pulmonary and Respiratory Medicine 238
- Health Informatics 151
Countries citing papers authored by Mohamed Loey
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 75 | |
| 4 | 2 | |
| 5 | 33 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 42 | |
| 9 | A comprehensive survey of recent trends in deep learning for digital images augmentationbreakdown → | 235 |
| 10 | 17 | |
| 11 | 75 | |
| 12 | A hybrid deep transfer learning model with machine learning methods for face mask detection in the era of the COVID-19 pandemicbreakdown → | 457 |
| 13 | Fighting against COVID-19: A novel deep learning model based on YOLO-v2 with ResNet-50 for medical face mask detectionbreakdown → | 322 |
| 14 | 207 | |
| 15 | 6 | |
| 16 | 7 | |
| 17 | Within the Lack of Chest COVID-19 X-ray Dataset: A Novel Detection Model Based on GAN and Deep Transfer Learningbreakdown → | 385 |
| 18 | 91 | |
| 19 | Arabic Handwritten Characters Recognition Using Convolutional Neural Network | 111 |
| 20 | Arab Kids Tutor (AKT) System For Handwriting Stroke Errors Detection | 7 |
About Mohamed Loey
Mohamed Loey is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 24 papers that have together received 2.2k indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (11 papers), AI in cancer detection (6 papers) and Digital Imaging for Blood Diseases (5 papers). The work is most often cited by research in Health Informatics (151 citations), Radiology, Nuclear Medicine and Imaging (1.1k citations) and Computer Vision and Pattern Recognition (953 citations). Mohamed Loey has collaborated with scholars based in Egypt, United States and Taiwan. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Sustainable Cities and Society and Neural Computing and Applications.
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.