Sertan Serte
Impact in
- Health Informatics top 2%
-
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- Retinal Imaging and Analysis
Papers in
-
- COVID-19 diagnosis using AI 20
- Radiomics and Machine Learning in Medical Imaging 11
- Retinal Imaging and Analysis 7
-
- AI in cancer detection 15
- Co-authors
- Ali Serener (19 shared papers)Hasan Demirel (3 shared papers)Fadi Al‐Turjman (6 shared papers)Mehmet Özsöz (8 shared papers)Abdullahi Umar Ibrahim (4 shared papers)Polycarp Shizawaliyi Yakoi (1 shared paper)Auwalu Saleh Mubarak (4 shared papers)Kaya Süer (1 shared paper)
In The Last Decade
Sertan Serte
35 papers receiving 989 citations
Sertan Serte's Hit Papers
Peers
Comparison fields: 5 of 94
- Health Informatics 58
- Radiology, Nuclear Medicine and Imaging 737
- Ophthalmology 130
- Artificial Intelligence 429
- Computer Vision and Pattern Recognition 261
Countries citing papers authored by Sertan Serte
This map shows the geographic impact of Sertan Serte'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 Sertan Serte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sertan Serte more than expected).
Fields of papers citing papers by Sertan Serte
This network shows the impact of papers produced by Sertan Serte. 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 Sertan Serte. The network helps show where Sertan Serte may publish in the future.
Co-authors
The 9 scholars most cited alongside Sertan Serte, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Pneumonia Classification Using Deep Learning from Chest X-ray Images During COVID-19 Hit paper breakdown → | 2021 | 248 |
| 2 | 2021 | 126 | |
| 3 | 2019 | 92 | |
| 4 | 2019 | 65 | |
| 5 | 2020 | 63 | |
| 6 | 2019 | 54 | |
| 7 | 2020 | 52 | |
| 8 | 2019 | 52 | |
| 9 | 2021 | 28 | |
| 10 | 2020 | 27 | |
| 11 | 2021 | 26 | |
| 12 | 2019 | 24 | |
| 13 | 2021 | 20 | |
| 14 | 2020 | 16 | |
| 15 | 2021 | 15 | |
| 16 | 2019 | 14 | |
| 17 | 2021 | 13 | |
| 18 | 2019 | 12 | |
| 19 | 2020 | 12 | |
| 20 | 2020 | 12 |
About Sertan Serte
Sertan Serte is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Ophthalmology, having authored 36 papers that have together received 1.0k indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (20 papers), AI in cancer detection (15 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), Digital Imaging for Blood Diseases (8 papers), Retinal Imaging and Analysis (7 papers), Cutaneous Melanoma Detection and Management (4 papers), Glaucoma and retinal disorders (4 papers) and Lung Cancer Diagnosis and Treatment (4 papers). The work is most often cited by research in Health Informatics (58 citations), Radiology, Nuclear Medicine and Imaging (737 citations), Ophthalmology (130 citations), Artificial Intelligence (429 citations) and Computer Vision and Pattern Recognition (261 citations). Sertan Serte has collaborated with scholars based in Cyprus, Libya and Türkiye. Frequent co-authors include Ali Serener, Hasan Demirel, Fadi Al‐Turjman, Mehmet Özsöz, Abdullahi Umar Ibrahim, Polycarp Shizawaliyi Yakoi, Auwalu Saleh Mubarak, Kaya Süer and Rabiu Aliyu Abdulkadir. Their work appears in journals such as Computers in Biology and Medicine, International Journal of Nanotechnology, Multimedia Tools and Applications, Cognitive Computation and Alexandria Engineering Journal.
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.