Mohammed Aly
Impact in
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- Image and Signal Denoising Methods
- Face and Expression Recognition
Papers in
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- Image and Signal Denoising Methods 3
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- Anomaly Detection Techniques and Applications 2
- Co-authors
- Abdullatif Ghallab (2 shared papers)Ahmed Alawadi (1 shared paper)Ali Alsaalamy (1 shared paper)Yasir Q. Аlmajidi (1 shared paper)Wesam R. Kadhum (1 shared paper)Ahmed Hjazi (1 shared paper)Jassim M. Abdul-Jabbar (1 shared paper)Kyle James (1 shared paper)
- Journals
- Scientific Reports (4 papers)IEEE Access (2 papers)Journal Of Big Data (1 paper)Multimedia Tools and Applications (1 paper)Water Resources and Industry (1 paper)
- Partner nations
- EgyptSaudi ArabiaJordan
In The Last Decade
Mohammed Aly
23 papers receiving 167 citations
Peers
Comparison fields: 5 of 58
- Human-Computer Interaction 14
- Computer Vision and Pattern Recognition 45
- Signal Processing 22
- Experimental and Cognitive Psychology 23
- Health Informatics 2
Countries citing papers authored by Mohammed Aly
This map shows the geographic impact of Mohammed Aly'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 Mohammed Aly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed Aly more than expected).
Fields of papers citing papers by Mohammed Aly
This network shows the impact of papers produced by Mohammed Aly. 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 Mohammed Aly. The network helps show where Mohammed Aly may publish in the future.
Co-authors
The 11 scholars most cited alongside Mohammed Aly, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 35 | |
| 2 | 2022 | 25 | |
| 3 | 2024 | 20 | |
| 4 | 2023 | 14 | |
| 5 | 2023 | 11 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 8 | |
| 8 | 2016 | 8 | |
| 9 | 2022 | 8 | |
| 10 | 2019 | 7 | |
| 11 | 2019 | 6 | |
| 12 | 2020 | 4 | |
| 13 | 2025 | 3 | |
| 14 | 2025 | 2 | |
| 15 | 2025 | 2 | |
| 16 | A Fast Image Denoising Algorithm Based on TLS model and Sparse Representation | 2019 | 2 |
| 17 | 2025 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2023 | 1 |
About Mohammed Aly
Mohammed Aly is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computational Mechanics, having authored 24 papers that have together received 174 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (3 papers), Image and Signal Denoising Methods (3 papers), Emotion and Mood Recognition (3 papers), Brain Tumor Detection and Classification (2 papers), Anomaly Detection Techniques and Applications (2 papers), Blind Source Separation Techniques (2 papers), Spectroscopy and Chemometric Analyses (2 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Human-Computer Interaction (14 citations), Computer Vision and Pattern Recognition (45 citations), Signal Processing (22 citations), Experimental and Cognitive Psychology (23 citations) and Health Informatics (2 citations). Mohammed Aly has collaborated with scholars based in Egypt, Saudi Arabia and Jordan. Frequent co-authors include Abdullatif Ghallab, Ahmed Alawadi, Ali Alsaalamy, Yasir Q. Аlmajidi, Wesam R. Kadhum, Ahmed Hjazi, Jassim M. Abdul-Jabbar, Kyle James, Reza Hassanpour and Islam Omar. Their work appears in journals such as Scientific Reports, IEEE Access, Journal Of Big Data, Multimedia Tools and Applications and Water Resources and Industry.
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.