Haseeb Sultan
Impact in
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- Retinal Imaging and Analysis
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Advanced Neural Network Applications 4
- Digital Imaging for Blood Diseases 3
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- COVID-19 diagnosis using AI 4
- Radiomics and Machine Learning in Medical Imaging 3
- Retinal Imaging and Analysis 2
- Co-authors
- Adnan Haider (12 shared papers)Kang Ryoung Park (16 shared papers)Muhammad Owais (8 shared papers)Muhammad Arsalan (6 shared papers)Tahir Mahmood (3 shared papers)Tahir Mahmood (4 shared papers)Se Hyun Nam (4 shared papers)Min Beom Lee (1 shared paper)
- Journals
- Engineering Applications of Artificial Intelligence (4 papers)Applied Soft Computing (3 papers)Journal of Personalized Medicine (3 papers)Journal of King Saud University - Computer and Information Sciences (2 papers)Expert Systems with Applications (1 paper)
- Partner nations
- South KoreaQatar
In The Last Decade
Haseeb Sultan
18 papers receiving 286 citations
Peers
Comparison fields: 5 of 56
- Health Informatics 10
- Radiology, Nuclear Medicine and Imaging 132
- Ophthalmology 46
- Computer Vision and Pattern Recognition 103
- Neurology 28
Countries citing papers authored by Haseeb Sultan
This map shows the geographic impact of Haseeb Sultan'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 Haseeb Sultan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haseeb Sultan more than expected).
Fields of papers citing papers by Haseeb Sultan
This network shows the impact of papers produced by Haseeb Sultan. 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 Haseeb Sultan. The network helps show where Haseeb Sultan may publish in the future.
Co-authors
The 15 scholars most cited alongside Haseeb Sultan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 52 | |
| 2 | 2021 | 32 | |
| 3 | 2021 | 28 | |
| 4 | 2022 | 26 | |
| 5 | 2021 | 24 | |
| 6 | 2022 | 21 | |
| 7 | 2023 | 19 | |
| 8 | 2023 | 16 | |
| 9 | 2021 | 15 | |
| 10 | 2022 | 11 | |
| 11 | 2023 | 11 | |
| 12 | 2024 | 10 | |
| 13 | 2024 | 7 | |
| 14 | 2023 | 7 | |
| 15 | 2024 | 4 | |
| 16 | 2025 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2025 | 0 |
About Haseeb Sultan
Haseeb Sultan is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Plant Science and Nature and Landscape Conservation, having authored 19 papers that have together received 291 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), COVID-19 diagnosis using AI (4 papers), Advanced Neural Network Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Digital Imaging for Blood Diseases (3 papers), Remote Sensing in Agriculture (2 papers), Brain Tumor Detection and Classification (2 papers) and Retinal Imaging and Analysis (2 papers). The work is most often cited by research in Health Informatics (10 citations), Radiology, Nuclear Medicine and Imaging (132 citations), Ophthalmology (46 citations), Computer Vision and Pattern Recognition (103 citations) and Neurology (28 citations). Haseeb Sultan has collaborated with scholars based in South Korea and Qatar. Frequent co-authors include Adnan Haider, Kang Ryoung Park, Muhammad Owais, Muhammad Arsalan, Tahir Mahmood, Tahir Mahmood, Se Hyun Nam, Min Beom Lee, Jiho Choi and Kang Park. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Applied Soft Computing, Journal of Personalized Medicine, Journal of King Saud University - Computer and Information Sciences and Expert Systems with Applications.
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.