Enes Ayan
Impact in
- General Dentistry top 5%
- Health Informatics top 5%
Papers in
-
- Dental Radiography and Imaging 5
-
- COVID-19 diagnosis using AI 3
- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- Halil Murat Ünver (4 shared papers)Yusuf Bayraktar (4 shared papers)Fatih Varçın (1 shared paper)Hasan Erbay (1 shared paper)Çiğdem Çelik (1 shared paper)Tamer Eren (1 shared paper)Saadet Atsü (1 shared paper)Ali Payıdar Akgüngör (1 shared paper)
- Journals
- Clinical Oral Investigations (2 papers)Arabian Journal for Science and Engineering (2 papers)BMC Oral Health (1 paper)Journal of Esthetic and Restorative Dentistry (1 paper)Computers and Electronics in Agriculture (1 paper)
- Partner nations
- TürkiyeSaudi Arabia
In The Last Decade
Enes Ayan
15 papers receiving 1.0k citations
Enes Ayan's Hit Papers
Peers
Comparison fields: 5 of 110
- General Dentistry 39
- Health Informatics 31
- Oral Surgery 134
- Radiology, Nuclear Medicine and Imaging 391
- Artificial Intelligence 354
Countries citing papers authored by Enes Ayan
This map shows the geographic impact of Enes Ayan'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 Enes Ayan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enes Ayan more than expected).
Fields of papers citing papers by Enes Ayan
This network shows the impact of papers produced by Enes Ayan. 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 Enes Ayan. The network helps show where Enes Ayan may publish in the future.
Co-authors
The 8 scholars most cited alongside Enes Ayan, 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 | Diagnosis of Pneumonia from Chest X-Ray Images Using Deep Learning Hit paper breakdown → | 2019 | 290 |
| 2 | 2019 | 231 | |
| 3 | 2020 | 151 | |
| 4 | Diagnosis of interproximal caries lesions with deep convolutional neural network in digital bitewing radiographs Hit paper breakdown → | 2021 | 116 |
| 5 | 2021 | 78 | |
| 6 | 2018 | 66 | |
| 7 | 2023 | 31 | |
| 8 | 2024 | 24 | |
| 9 | 2024 | 20 | |
| 10 | 2017 | 15 | |
| 11 | 2025 | 9 | |
| 12 | 2025 | 8 | |
| 13 | 2017 | 7 | |
| 14 | 2016 | 4 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 |
About Enes Ayan
Enes Ayan is a scholar working on Oral Surgery, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Computer Vision and Pattern Recognition and Oncology, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Dental Radiography and Imaging (5 papers), AI in cancer detection (4 papers), COVID-19 diagnosis using AI (3 papers), Cutaneous Melanoma Detection and Management (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Smart Agriculture and AI (2 papers), Gastrointestinal Bleeding Diagnosis and Treatment (1 paper) and Patient Safety and Medication Errors (1 paper). The work is most often cited by research in General Dentistry (39 citations), Health Informatics (31 citations), Oral Surgery (134 citations), Radiology, Nuclear Medicine and Imaging (391 citations) and Artificial Intelligence (354 citations). Enes Ayan has collaborated with scholars based in Türkiye and Saudi Arabia. Frequent co-authors include Halil Murat Ünver, Yusuf Bayraktar, Fatih Varçın, Hasan Erbay, Çiğdem Çelik, Tamer Eren, Saadet Atsü and Ali Payıdar Akgüngör. Their work appears in journals such as Clinical Oral Investigations, Arabian Journal for Science and Engineering, BMC Oral Health, Journal of Esthetic and Restorative Dentistry and Computers and Electronics in Agriculture.
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.