Asem Ali
Impact in
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- Medical Image Segmentation Techniques
- Face recognition and analysis
- Face and Expression Recognition
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Medical Image Segmentation Techniques 14
- Face recognition and analysis 12
- Face and Expression Recognition 9
- Advanced Image and Video Retrieval Techniques 8
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- Radiomics and Machine Learning in Medical Imaging 7
- Co-authors
- Aly A. Farag (49 shared papers)Ayman El‐Baz (4 shared papers)Naweed Alzaman (1 shared paper)Amal Farag (8 shared papers)Ben Arnold (6 shared papers)Riad Hammoud (1 shared paper)Ping Xiang (6 shared papers)James Graham (1 shared paper)
- Journals
- International Journal of Computer Assisted Radiology and Surgery (2 papers)Archives of Gynecology and Obstetrics (2 papers)Sensors (2 papers)Neurophysiologie Clinique (1 paper)The Thoracic and Cardiovascular Surgeon (1 paper)
- Partner nations
- United StatesEgyptUnited Kingdom
In The Last Decade
Asem Ali
58 papers receiving 449 citations
Peers
Comparison fields: 5 of 97
- Computer Vision and Pattern Recognition 183
- Radiology, Nuclear Medicine and Imaging 128
- Computer Science Applications 25
- Oral Surgery 31
- Human-Computer Interaction 17
Countries citing papers authored by Asem Ali
This map shows the geographic impact of Asem Ali'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 Asem Ali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asem Ali more than expected).
Fields of papers citing papers by Asem Ali
This network shows the impact of papers produced by Asem Ali. 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 Asem Ali. The network helps show where Asem Ali may publish in the future.
Co-authors
The 25 scholars most cited alongside Asem Ali, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 52 | |
| 2 | 2011 | 38 | |
| 3 | 2016 | 34 | |
| 4 | 2013 | 27 | |
| 5 | 2017 | 27 | |
| 6 | 2017 | 23 | |
| 7 | 2015 | 22 | |
| 8 | 2019 | 15 | |
| 9 | 2010 | 14 | |
| 10 | 2023 | 13 | |
| 11 | 2007 | 12 | |
| 12 | 2006 | 11 | |
| 13 | 2014 | 11 | |
| 14 | 2010 | 11 | |
| 15 | 2016 | 11 | |
| 16 | 2009 | 9 | |
| 17 | 2015 | 8 | |
| 18 | 2022 | 8 | |
| 19 | 2010 | 8 | |
| 20 | 2008 | 7 |
About Asem Ali
Asem Ali is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pulmonary and Respiratory Medicine and Oncology, having authored 66 papers that have together received 471 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (14 papers), Face recognition and analysis (12 papers), Face and Expression Recognition (9 papers), Medical Imaging and Analysis (8 papers), Advanced Image and Video Retrieval Techniques (8 papers), Dental Radiography and Imaging (7 papers), Colorectal Cancer Screening and Detection (7 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (183 citations), Radiology, Nuclear Medicine and Imaging (128 citations), Computer Science Applications (25 citations), Oral Surgery (31 citations) and Human-Computer Interaction (17 citations). Asem Ali has collaborated with scholars based in United States, Egypt and United Kingdom. Frequent co-authors include Aly A. Farag, Ayman El‐Baz, Naweed Alzaman, Amal Farag, Ben Arnold, Riad Hammoud, Ping Xiang, James Graham, Robert Falk and Shrikanth Narayanan. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, Archives of Gynecology and Obstetrics, Sensors, Neurophysiologie Clinique and The Thoracic and Cardiovascular Surgeon.
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.