Duaa AlSaeed
Impact in
- Health Informatics top 10%
- Neurology top 10%
- Brain Tumor Detection and Classification
Papers in
-
- Medical Image Segmentation Techniques 4
-
- AI in cancer detection 3
- Co-authors
- Heyam H. Al-Baity (9 shared papers)Alhanoof Althnian (1 shared paper)Amani K. Samha (1 shared paper)Heba Kurdi (1 shared paper)Hend S. Al‐Khalifa (6 shared papers)Ahmed Bouridane (6 shared papers)Ali El‐Zaart (5 shared papers)Maha Al-Yahya (1 shared paper)
- Journals
- Applied Sciences (3 papers)Complexity (3 papers)Sensors (2 papers)Mathematical Methods in the Applied Sciences (1 paper)Journal of Medical Internet Research (1 paper)
- Partner nations
- Saudi ArabiaLebanonUnited Kingdom
In The Last Decade
Duaa AlSaeed
26 papers receiving 579 citations
Duaa AlSaeed's Hit Papers
Peers
Comparison fields: 5 of 138
- Health Informatics 18
- Neurology 81
- Artificial Intelligence 229
- Health Information Management 32
- Computer Vision and Pattern Recognition 93
Countries citing papers authored by Duaa AlSaeed
This map shows the geographic impact of Duaa AlSaeed'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 Duaa AlSaeed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duaa AlSaeed more than expected).
Fields of papers citing papers by Duaa AlSaeed
This network shows the impact of papers produced by Duaa AlSaeed. 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 Duaa AlSaeed. The network helps show where Duaa AlSaeed may publish in the future.
Co-authors
The 20 scholars most cited alongside Duaa AlSaeed, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Impact of Dataset Size on Classification Performance: An Empirical Evaluation in the Medical Domain Hit paper breakdown → | 2021 | 243 |
| 2 | 2022 | 88 | |
| 3 | 2021 | 63 | |
| 4 | 2020 | 52 | |
| 5 | 2012 | 28 | |
| 6 | 2022 | 25 | |
| 7 | 2021 | 21 | |
| 8 | A novel fast Otsu digital image segmentation method | 2016 | 16 |
| 9 | 2020 | 14 | |
| 10 | 2023 | 9 | |
| 11 | 2019 | 9 | |
| 12 | 2020 | 7 | |
| 13 | 2019 | 7 | |
| 14 | 2025 | 5 | |
| 15 | 2021 | 5 | |
| 16 | 2018 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2011 | 3 | |
| 19 | 2021 | 2 | |
| 20 | 2024 | 2 |
About Duaa AlSaeed
Duaa AlSaeed is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Sociology and Political Science, having authored 31 papers that have together received 612 indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (4 papers), Medical Image Segmentation Techniques (4 papers), Gaze Tracking and Assistive Technology (3 papers), Infrared Thermography in Medicine (3 papers), Thermography and Photoacoustic Techniques (3 papers), Brain Tumor Detection and Classification (3 papers), AI in cancer detection (3 papers) and Misinformation and Its Impacts (3 papers). The work is most often cited by research in Health Informatics (18 citations), Neurology (81 citations), Artificial Intelligence (229 citations), Health Information Management (32 citations) and Computer Vision and Pattern Recognition (93 citations). Duaa AlSaeed has collaborated with scholars based in Saudi Arabia, Lebanon and United Kingdom. Frequent co-authors include Heyam H. Al-Baity, Alhanoof Althnian, Amani K. Samha, Heba Kurdi, Hend S. Al‐Khalifa, Ahmed Bouridane, Ali El‐Zaart, Maha Al-Yahya, Rachid Sammouda and Hind M. Alotaibi. Their work appears in journals such as Applied Sciences, Complexity, Sensors, Mathematical Methods in the Applied Sciences and Journal of Medical Internet Research.
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.