Afaf Tareef
Impact in
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- Digital Imaging for Blood Diseases
- Advanced Steganography and Watermarking Techniques
- Medical Image Segmentation Techniques
- Chaos-based Image/Signal Encryption
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
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- Digital Imaging for Blood Diseases 8
- Advanced Steganography and Watermarking Techniques 5
- Chaos-based Image/Signal Encryption 4
- Digital Media Forensic Detection 4
- Face recognition and analysis 2
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- AI in cancer detection 7
- Co-authors
- Yang Song (7 shared papers)Weidong Cai (7 shared papers)Dagan Feng (7 shared papers)Mei Chen (4 shared papers)Heng Huang (3 shared papers)Ahmed Al-Ani (1 shared paper)Yue Wang (1 shared paper)Saleh A. Wasimi (1 shared paper)
- Journals
- Neurocomputing (2 papers)IEEE Transactions on Medical Imaging (1 paper)Multimedia Tools and Applications (1 paper)Expert Systems with Applications (1 paper)Journal of Advances in Information Technology (2 papers)
- Partner nations
- AustraliaJordanUnited States
In The Last Decade
Afaf Tareef
17 papers receiving 338 citations
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 247
- Biophysics 46
- Artificial Intelligence 214
- Media Technology 33
- Signal Processing 40
Countries citing papers authored by Afaf Tareef
This map shows the geographic impact of Afaf Tareef'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 Afaf Tareef with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Afaf Tareef more than expected).
Fields of papers citing papers by Afaf Tareef
This network shows the impact of papers produced by Afaf Tareef. 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 Afaf Tareef. The network helps show where Afaf Tareef may publish in the future.
Co-authors
The 24 scholars most cited alongside Afaf Tareef, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 76 | |
| 2 | 2017 | 53 | |
| 3 | 2016 | 52 | |
| 4 | 2017 | 37 | |
| 5 | 2014 | 26 | |
| 6 | 2016 | 24 | |
| 7 | 2014 | 23 | |
| 8 | 2017 | 15 | |
| 9 | 2015 | 12 | |
| 10 | 2014 | 9 | |
| 11 | An enhanced sub image matching algorithm for binary images | 2010 | 7 |
| 12 | 2023 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2022 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2024 | 0 |
About Afaf Tareef
Afaf Tareef is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Biophysics and Information Systems, having authored 21 papers that have together received 350 indexed citations. Recurring topics across this work include Digital Imaging for Blood Diseases (8 papers), AI in cancer detection (7 papers), Advanced Steganography and Watermarking Techniques (5 papers), Chaos-based Image/Signal Encryption (4 papers), Digital Media Forensic Detection (4 papers), Cell Image Analysis Techniques (3 papers), Biometric Identification and Security (3 papers) and Face recognition and analysis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (247 citations), Biophysics (46 citations), Artificial Intelligence (214 citations), Media Technology (33 citations) and Signal Processing (40 citations). Afaf Tareef has collaborated with scholars based in Australia, Jordan and United States. Frequent co-authors include Yang Song, Weidong Cai, Dagan Feng, Mei Chen, Heng Huang, Ahmed Al-Ani, Yue Wang, Saleh A. Wasimi, Santoso Wibowo and Yue Wang. Their work appears in journals such as Neurocomputing, IEEE Transactions on Medical Imaging, Multimedia Tools and Applications, Expert Systems with Applications and Journal of Advances in Information Technology.
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.