Heba M. Afify
Impact in
- Biophysics top 10%
- Cell Image Analysis Techniques
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
-
- AI in cancer detection 8
- Algorithms and Data Compression 2
-
- Machine Learning in Bioinformatics 4
- Co-authors
- Aboul Ella Hassanien (12 shared papers)Mai S. Mabrouk (7 shared papers)Fatma Helmy Ismail (1 shared paper)Ashraf Darwish (1 shared paper)Manal Abdel Wahed (2 shared papers)Muhammad Islam (1 shared paper)Ahmed El-Bialy (1 shared paper)Mohammed A. Al‐masni (1 shared paper)
- Journals
- Neural Computing and Applications (2 papers)International Journal of Imaging Systems and Technology (2 papers)Ain Shams Engineering Journal (1 paper)International Journal of Bio-Inspired Computation (1 paper)Annals of Biomedical Engineering (1 paper)
- Partner nations
- EgyptUnited StatesKuwait
In The Last Decade
Heba M. Afify
26 papers receiving 239 citations
Peers
Comparison fields: 5 of 79
- Biophysics 26
- Radiology, Nuclear Medicine and Imaging 72
- Artificial Intelligence 110
- Health Informatics 4
- Neurology 24
Countries citing papers authored by Heba M. Afify
This map shows the geographic impact of Heba M. Afify'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 Heba M. Afify with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heba M. Afify more than expected).
Fields of papers citing papers by Heba M. Afify
This network shows the impact of papers produced by Heba M. Afify. 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 Heba M. Afify. The network helps show where Heba M. Afify may publish in the future.
Co-authors
The 11 scholars most cited alongside Heba M. Afify, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 29 | |
| 2 | 2019 | 28 | |
| 3 | 2018 | 25 | |
| 4 | 2019 | 24 | |
| 5 | 2021 | 21 | |
| 6 | 2020 | 16 | |
| 7 | 2022 | 16 | |
| 8 | 2023 | 15 | |
| 9 | 2020 | 11 | |
| 10 | 2021 | 10 | |
| 11 | 2021 | 9 | |
| 12 | 2021 | 6 | |
| 13 | 2011 | 6 | |
| 14 | 2023 | 4 | |
| 15 | 2021 | 4 | |
| 16 | 2021 | 4 | |
| 17 | 2025 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2018 | 3 | |
| 20 | 2017 | 3 |
About Heba M. Afify
Heba M. Afify is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 29 papers that have together received 250 indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Machine Learning in Bioinformatics (4 papers), Brain Tumor Detection and Classification (3 papers), Spine and Intervertebral Disc Pathology (3 papers), Medical Imaging and Analysis (3 papers), Cutaneous Melanoma Detection and Management (2 papers) and Algorithms and Data Compression (2 papers). The work is most often cited by research in Biophysics (26 citations), Radiology, Nuclear Medicine and Imaging (72 citations), Artificial Intelligence (110 citations), Health Informatics (4 citations) and Neurology (24 citations). Heba M. Afify has collaborated with scholars based in Egypt, United States and Kuwait. Frequent co-authors include Aboul Ella Hassanien, Mai S. Mabrouk, Fatma Helmy Ismail, Ashraf Darwish, Manal Abdel Wahed, Muhammad Islam, Ahmed El-Bialy, Mohammed A. Al‐masni, Neven Saleh and Ahmed M. Salaheldin. Their work appears in journals such as Neural Computing and Applications, International Journal of Imaging Systems and Technology, Ain Shams Engineering Journal, International Journal of Bio-Inspired Computation and Annals of Biomedical Engineering.
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.