Umut Özkaya

1.4k total citations
28 papers, 613 citations indexed

About

Umut Özkaya is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Aerospace Engineering. According to data from OpenAlex, Umut Özkaya has authored 28 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Aerospace Engineering. Recurrent topics in Umut Özkaya's work include AI in cancer detection (6 papers), Geophysical Methods and Applications (5 papers) and Microwave Imaging and Scattering Analysis (5 papers). Umut Özkaya is often cited by papers focused on AI in cancer detection (6 papers), Geophysical Methods and Applications (5 papers) and Microwave Imaging and Scattering Analysis (5 papers). Umut Özkaya collaborates with scholars based in Türkiye, India and Algeria. Umut Özkaya's co-authors include Şaban Öztürk, Levent Seyfi, Mücahid Barstuğan, Farid Melgani, Mesay Belete Bejiga, Enes Yi̇ği̇t, Massimo Donelli, Dilbag Singh, Hassène Gritli and Bayram Akdemïr and has published in prestigious journals such as SHILAP Revista de lepidopterología, Automation in Construction and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Umut Özkaya

24 papers receiving 587 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Umut Özkaya Türkiye 12 209 156 122 105 98 28 613
Martin P. DeSimio United States 16 231 1.1× 97 0.6× 48 0.4× 123 1.2× 185 1.9× 49 1.2k
Hasan Al-Marzouqi United Arab Emirates 11 89 0.4× 61 0.4× 41 0.3× 112 1.1× 46 0.5× 36 372
Jiayu Xu China 9 256 1.2× 223 1.4× 40 0.3× 408 3.9× 19 0.2× 27 738
Franck Marzani France 14 127 0.6× 74 0.5× 123 1.0× 155 1.5× 20 0.2× 57 569
Amirhossein Kazerouni Iran 7 302 1.4× 351 2.3× 43 0.4× 419 4.0× 16 0.2× 12 912
Andrea Pennisi Italy 11 213 1.0× 38 0.2× 172 1.4× 191 1.8× 76 0.8× 22 487
Anabia Sohail Pakistan 14 320 1.5× 290 1.9× 21 0.2× 204 1.9× 8 0.1× 23 732
Jinpeng Li China 13 165 0.8× 59 0.4× 40 0.3× 412 3.9× 27 0.3× 43 702
Jan Lundgren Sweden 9 82 0.4× 23 0.1× 73 0.6× 68 0.6× 28 0.3× 49 361
Federico Bolelli Italy 13 119 0.6× 96 0.6× 65 0.5× 200 1.9× 14 0.1× 37 462

Countries citing papers authored by Umut Özkaya

Since Specialization
Citations

This map shows the geographic impact of Umut Özkaya'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 Umut Özkaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umut Özkaya more than expected).

Fields of papers citing papers by Umut Özkaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Umut Özkaya. 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 Umut Özkaya. The network helps show where Umut Özkaya may publish in the future.

Co-authorship network of co-authors of Umut Özkaya

This figure shows the co-authorship network connecting the top 25 collaborators of Umut Özkaya. A scholar is included among the top collaborators of Umut Özkaya based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Umut Özkaya. Umut Özkaya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Şahin, Muhammet Emin, et al.. (2025). CucuNetCNNs: Application of novel ensemble deep neural networks for classification of cucumber leaf disease. Ain Shams Engineering Journal. 16(5). 103380–103380.
2.
Özkaya, Umut, et al.. (2024). The classification of eye diseases from fundus images based on CNN and pretrained models. Acta Polytechnica. 64(1). 1–11. 4 indexed citations
3.
Özkaya, Umut, et al.. (2023). Sugar beet farming goes high-tech: a method for automated weed detection using machine learning and deep learning in precision agriculture. Neural Computing and Applications. 36(9). 4603–4622. 11 indexed citations
4.
Yi̇ği̇t, Enes, Umut Özkaya, Şaban Öztürk, Dilbag Singh, & Hassène Gritli. (2021). Automatic Detection of Power Quality Disturbance Using Convolutional Neural Network Structure with Gated Recurrent Unit. Mobile Information Systems. 2021. 1–11. 33 indexed citations
5.
Barstuğan, Mücahid, Umut Özkaya, & Şaban Öztürk. (2021). Coronavirus (Covid-19) classification using CT images by machine learning methods. 2872. 29–35. 1 indexed citations
6.
Özkaya, Umut, Enes Yi̇ği̇t, Levent Seyfi, Şaban Öztürk, & Dilbag Singh. (2021). Comparative Regression Analysis for Estimating Resonant Frequency of C-Like Patch Antennas. Mathematical Problems in Engineering. 2021. 1–8. 8 indexed citations
7.
Özkaya, Umut, et al.. (2021). Efficient multitask learning analyses on grain silo measurement. Journal of Applied Remote Sensing. 15(3). 4 indexed citations
8.
Özkaya, Umut, Levent Seyfi, & Şaban Öztürk. (2021). Dimension optimization of multi-band microstrip antennas using deep learning methods. SHILAP Revista de lepidopterología. 27(2). 229–233. 2 indexed citations
9.
Öztürk, Şaban & Umut Özkaya. (2020). Residual LSTM layered CNN for classification of gastrointestinal tract diseases. Journal of Biomedical Informatics. 113. 103638–103638. 76 indexed citations
10.
Öztürk, Şaban, Enes Yi̇ği̇t, & Umut Özkaya. (2020). FUSED DEEP FEATURES BASED CLASSIFICATION FRAMEWORK FOR COVID-19 CLASSIFICATION WITH OPTIMIZED MLP. Konya Journal of Engineering Sciences. 8. 15–27. 1 indexed citations
11.
Özkaya, Umut. (2020). Makine Öğrenimi Tekniklerini Kullanarak SAR Görüntülemesinden Otomatik Hedef Tanıma (OHT). European Journal of Science and Technology. 165–169. 2 indexed citations
12.
Özkaya, Umut, Şaban Öztürk, Farid Melgani, & Levent Seyfi. (2020). Residual CNN + Bi-LSTM model to analyze GPR B scan images. Automation in Construction. 123. 103525–103525. 38 indexed citations
13.
Öztürk, Şaban & Umut Özkaya. (2020). Skin Lesion Segmentation with Improved Convolutional Neural Network. Journal of Digital Imaging. 33(4). 958–970. 107 indexed citations
14.
Özkaya, Umut, et al.. (2020). Makine Öğrenmesi Yöntemleri ile Tahıl Yüzey Sınıflaması. European Journal of Science and Technology.
15.
Özkaya, Umut, et al.. (2020). Mozaiklenmiş İnsansız Hava Aracı Görüntülerinde Eksik Bölgelerin Exemplar İç Boyaması ile Elde Edilmesi. SHILAP Revista de lepidopterología. 6(1). 61–68. 3 indexed citations
16.
Özkaya, Umut & Levent Seyfi. (2020). Yere Nüfuz Eden Radar B Tarama Görüntülerinin Az Parametreye Sahip Konvolüsyonel Sinir Ağı İle Değerlendirilmesi. Geomatik. 6(2). 84–92. 2 indexed citations
17.
Özkaya, Umut, Farid Melgani, Mesay Belete Bejiga, Levent Seyfi, & Massimo Donelli. (2020). GPR B scan image analysis with deep learning methods. Measurement. 165. 107770–107770. 62 indexed citations
18.
Öztürk, Şaban, Umut Özkaya, Bayram Akdemïr, & Levent Seyfi. (2018). Weighting and Classification of Image Features using Optimization Algorithms. 1–6. 1 indexed citations
19.
Özkaya, Umut & Levent Seyfi. (2018). Deep dictionary learning application in GPR B-scan images. Signal Image and Video Processing. 12(8). 1567–1575. 21 indexed citations
20.
Özkaya, Umut & Levent Seyfi. (2016). MODELING AND ANALYSIS OF ABSORBING BOUNDARY CONDITION IN ANTENNA DESIGN. CBU International Conference Proceedings. 4. 832–839. 2 indexed citations

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.

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