Assif Assad
Impact in
- Artificial Intelligence top 5%
- AI in cancer detection
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Health Informatics top 10%
Papers in
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- AI in cancer detection 9
- Anomaly Detection Techniques and Applications 4
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- Radiomics and Machine Learning in Medical Imaging 7
- Co-authors
- Kusum Deep (6 shared papers)Nusrat Mohi Ud Din (12 shared papers)Rayees Ahmad Dar (7 shared papers)Hossein Moayedi (1 shared paper)Shubham Gupta (1 shared paper)Loke Kok Foong (1 shared paper)Rakesh Kumar Meena (2 shared papers)Madhu Jain (2 shared papers)
In The Last Decade
Assif Assad
41 papers receiving 698 citations
Assif Assad's Hit Papers
Peers
Comparison fields: 5 of 116
- Artificial Intelligence 308
- Health Informatics 11
- Neurology 58
- Radiology, Nuclear Medicine and Imaging 126
- Health Information Management 23
Countries citing papers authored by Assif Assad
This map shows the geographic impact of Assif Assad'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 Assif Assad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Assif Assad more than expected).
Fields of papers citing papers by Assif Assad
This network shows the impact of papers produced by Assif Assad. 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 Assif Assad. The network helps show where Assif Assad may publish in the future.
Co-authors
The 25 scholars most cited alongside Assif Assad, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Breast cancer detection using deep learning: Datasets, methods, and challenges ahead Hit paper breakdown → | 2022 | 210 |
| 2 | 2018 | 100 | |
| 3 | 2020 | 84 | |
| 4 | 2024 | 35 | |
| 5 | 2023 | 34 | |
| 6 | 2019 | 31 | |
| 7 | 2022 | 25 | |
| 8 | 2023 | 21 | |
| 9 | 2024 | 20 | |
| 10 | 2022 | 19 | |
| 11 | 2024 | 13 | |
| 12 | 2025 | 13 | |
| 13 | 2024 | 10 | |
| 14 | 2017 | 10 | |
| 15 | 2024 | 9 | |
| 16 | 2023 | 9 | |
| 17 | 2024 | 7 | |
| 18 | 2025 | 6 | |
| 19 | 2017 | 6 | |
| 20 | 2023 | 6 |
About Assif Assad
Assif Assad is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computational Theory and Mathematics, Molecular Biology and Computer Vision and Pattern Recognition, having authored 47 papers that have together received 719 indexed citations. Recurring topics across this work include AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Anomaly Detection Techniques and Applications (4 papers), Spectroscopy and Chemometric Analyses (4 papers), Smart Agriculture and AI (4 papers), Artificial Intelligence in Healthcare (3 papers), Computational Drug Discovery Methods (3 papers) and Digital Holography and Microscopy (3 papers). The work is most often cited by research in Artificial Intelligence (308 citations), Health Informatics (11 citations), Neurology (58 citations), Radiology, Nuclear Medicine and Imaging (126 citations) and Health Information Management (23 citations). Assif Assad has collaborated with scholars based in India, Qatar and Vietnam. Frequent co-authors include Kusum Deep, Nusrat Mohi Ud Din, Rayees Ahmad Dar, Hossein Moayedi, Shubham Gupta, Loke Kok Foong, Rakesh Kumar Meena, Madhu Jain, Sudeep Singh Sanga and Mandeep Singh. Their work appears in journals such as International Journal of Systems Assurance Engineering and Management, Mathematics and Computers in Simulation, Journal of Computational Biology, Engineering Applications of Artificial Intelligence and Engineering With Computers.
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.