Abdullah Elen
Impact in
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- Digital Imaging for Blood Diseases
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- AI in cancer detection
- Neural Networks and Applications
Papers in
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- Digital Imaging for Blood Diseases 5
- Face and Expression Recognition 4
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- AI in cancer detection 3
- Co-authors
- Serhat Kılıçarslan (5 shared papers)Emrah Dönmez (7 shared papers)Ümit Atila (1 shared paper)Aykut Di̇ker (5 shared papers)Ayhan Özçıfçı (3 shared papers)İsmail Rakıp Karaş (1 shared paper)
In The Last Decade
Abdullah Elen
30 papers receiving 266 citations
Peers
Comparison fields: 5 of 99
- Computer Vision and Pattern Recognition 74
- Artificial Intelligence 89
- Analytical Chemistry 19
- Health Information Management 9
- Radiology, Nuclear Medicine and Imaging 45
Countries citing papers authored by Abdullah Elen
This map shows the geographic impact of Abdullah Elen'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 Abdullah Elen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdullah Elen more than expected).
Fields of papers citing papers by Abdullah Elen
This network shows the impact of papers produced by Abdullah Elen. 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 Abdullah Elen. The network helps show where Abdullah Elen may publish in the future.
Co-authors
The 6 scholars most cited alongside Abdullah Elen, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 46 | |
| 2 | 2023 | 38 | |
| 3 | 2022 | 34 | |
| 4 | 2020 | 28 | |
| 5 | 2019 | 26 | |
| 6 | 2020 | 13 | |
| 7 | 2023 | 13 | |
| 8 | 2022 | 10 | |
| 9 | 2024 | 8 | |
| 10 | 2017 | 6 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2021 | 4 | |
| 15 | Analysis of DNA Gel Electrophoresis Images with Backpropagation Neural Network Based Canny Edge Detection Algorithm | 2016 | 3 |
| 16 | 2020 | 3 | |
| 17 | SOLVING OF SCHEDULING PROBLEM WITH HEURISTIC OPTIMIZATION APPROACH | 2010 | 3 |
| 18 | 2023 | 2 | |
| 19 | 2024 | 2 | |
| 20 | A COMPLETE SOLUTION to EXAM SCHEDULING PROBLEM: A CASE STUDY | 2021 | 2 |
About Abdullah Elen
Abdullah Elen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Plant Science, Radiology, Nuclear Medicine and Imaging and Signal Processing, having authored 32 papers that have together received 269 indexed citations. Recurring topics across this work include Digital Imaging for Blood Diseases (5 papers), Face and Expression Recognition (4 papers), Smart Agriculture and AI (4 papers), COVID-19 diagnosis using AI (3 papers), Spectroscopy and Chemometric Analyses (3 papers), Hand Gesture Recognition Systems (3 papers), AI in cancer detection (3 papers) and Biometric Identification and Security (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (74 citations), Artificial Intelligence (89 citations), Analytical Chemistry (19 citations), Health Information Management (9 citations) and Radiology, Nuclear Medicine and Imaging (45 citations). Abdullah Elen has collaborated with scholars based in Türkiye and Togo. Frequent co-authors include Serhat Kılıçarslan, Emrah Dönmez, Ümit Atila, Aykut Di̇ker, Ayhan Özçıfçı and İsmail Rakıp Karaş. Their work appears in journals such as Measurement, Arabian Journal for Science and Engineering, Computer Methods and Programs in Biomedicine, Soft Computing 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.