Emrah Aslan
Impact in
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- Brain Tumor Detection and Classification
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Machine Fault Diagnosis Techniques 3
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- AI in cancer detection 4
- Co-authors
- Yıldırım ÖZÜPAK (20 shared papers)Burhanettin Özdemir (1 shared paper)İshak Paçal (1 shared paper)Z. M. S. Elbarbary (1 shared paper)Ayşegül Uçar (2 shared papers)Mahmoud A. Mossa (1 shared paper)Anna Pinnarelli (1 shared paper)Євген Зайцев (1 shared paper)
- Journals
- Scientific Reports (4 papers)IEEE Access (2 papers)Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi (1 paper)Eksploatacja i Niezawodnosc - Maintenance and Reliability (1 paper)Ain Shams Engineering Journal (1 paper)
- Partner nations
- TürkiyeUkraineSaudi Arabia
In The Last Decade
Emrah Aslan
25 papers receiving 189 citations
Emrah Aslan's Hit Papers
Peers
Comparison fields: 5 of 47
- Neurology 20
- Radiology, Nuclear Medicine and Imaging 34
- Computer Vision and Pattern Recognition 34
- Artificial Intelligence 49
- Health Information Management 5
Countries citing papers authored by Emrah Aslan
This map shows the geographic impact of Emrah Aslan'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 Emrah Aslan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emrah Aslan more than expected).
Fields of papers citing papers by Emrah Aslan
This network shows the impact of papers produced by Emrah Aslan. 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 Emrah Aslan. The network helps show where Emrah Aslan may publish in the future.
Co-authors
The 8 scholars most cited alongside Emrah Aslan, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Attention Enhanced InceptionNeXt-Based Hybrid Deep Learning Model for Lung Cancer Detection Hit paper breakdown → | 2025 | 45 |
| 2 | 2025 | 15 | |
| 3 | 2025 | 15 | |
| 4 | 2024 | 14 | |
| 5 | 2024 | 11 | |
| 6 | 2025 | 10 | |
| 7 | 2023 | 10 | |
| 8 | 2024 | 9 | |
| 9 | 2024 | 8 | |
| 10 | 2024 | 7 | |
| 11 | 2024 | 6 | |
| 12 | 2025 | 5 | |
| 13 | 2024 | 5 | |
| 14 | 2025 | 4 | |
| 15 | 2025 | 4 | |
| 16 | 2025 | 4 | |
| 17 | 2025 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2025 | 3 | |
| 20 | 2024 | 3 |
About Emrah Aslan
Emrah Aslan is a scholar working on Control and Systems Engineering, Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 33 papers that have together received 193 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (4 papers), AI in cancer detection (4 papers), Machine Fault Diagnosis Techniques (3 papers), Spectroscopy and Chemometric Analyses (3 papers), COVID-19 diagnosis using AI (3 papers), Smart Agriculture and AI (3 papers), Vehicle emissions and performance (2 papers) and Digital Imaging for Blood Diseases (2 papers). The work is most often cited by research in Neurology (20 citations), Radiology, Nuclear Medicine and Imaging (34 citations), Computer Vision and Pattern Recognition (34 citations), Artificial Intelligence (49 citations) and Health Information Management (5 citations). Emrah Aslan has collaborated with scholars based in Türkiye, Ukraine and Saudi Arabia. Frequent co-authors include Yıldırım ÖZÜPAK, Burhanettin Özdemir, İshak Paçal, Z. M. S. Elbarbary, Ayşegül Uçar, Mahmoud A. Mossa, Anna Pinnarelli and Євген Зайцев. Their work appears in journals such as Scientific Reports, IEEE Access, Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, Eksploatacja i Niezawodnosc - Maintenance and Reliability and Ain Shams 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.