Selen Ayas

487 total citations
34 papers, 316 citations indexed

About

Selen Ayas is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Selen Ayas has authored 34 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 13 papers in Media Technology. Recurrent topics in Selen Ayas's work include Image Processing Techniques and Applications (9 papers), AI in cancer detection (6 papers) and Digital Imaging for Blood Diseases (5 papers). Selen Ayas is often cited by papers focused on Image Processing Techniques and Applications (9 papers), AI in cancer detection (6 papers) and Digital Imaging for Blood Diseases (5 papers). Selen Ayas collaborates with scholars based in Türkiye, Kazakhstan and United States. Selen Ayas's co-authors include Murat Ekіncі, Esra Tunç Görmüş, Mustafa Şinasi Ayas, Eyüp Gedіklі, Seddik M. Djouadi, Kemal Hacıefendioğlu, Ahmet Can, Hasan Basri Başağa, Vedat Toğan and Ahmet Can Altunışık and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and International Journal of Remote Sensing.

In The Last Decade

Selen Ayas

27 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Selen Ayas Türkiye 11 133 129 81 53 45 34 316
Andrea Pennisi Italy 11 35 0.3× 191 1.5× 213 2.6× 172 3.2× 22 0.5× 22 487
Zhineng Chen China 10 39 0.3× 236 1.8× 135 1.7× 40 0.8× 9 0.2× 29 408
Amirhassan Monadjemi Iran 11 51 0.4× 162 1.3× 76 0.9× 13 0.2× 17 0.4× 42 333
M. V. Subramanyam India 10 23 0.2× 66 0.5× 75 0.9× 65 1.2× 8 0.2× 52 307
Yanhong Luo China 5 55 0.4× 129 1.0× 101 1.2× 49 0.9× 9 0.2× 7 320
Alok Jain India 8 28 0.2× 131 1.0× 124 1.5× 10 0.2× 30 0.7× 39 294
Harald Ganster Austria 8 18 0.1× 140 1.1× 68 0.8× 55 1.0× 19 0.4× 22 269
Heba A. Elnemr Egypt 10 112 0.8× 185 1.4× 45 0.6× 6 0.1× 30 0.7× 15 337
Yongfei Wu China 11 34 0.3× 197 1.5× 77 1.0× 23 0.4× 11 0.2× 47 322
Zhifang Wang China 10 50 0.4× 227 1.8× 59 0.7× 12 0.2× 10 0.2× 45 357

Countries citing papers authored by Selen Ayas

Since Specialization
Citations

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

Fields of papers citing papers by Selen Ayas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Selen Ayas

This figure shows the co-authorship network connecting the top 25 collaborators of Selen Ayas. A scholar is included among the top collaborators of Selen Ayas 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 Selen Ayas. Selen Ayas 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
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Ayas, Selen, et al.. (2025). Detecting cyberattacks based on deep neural network approaches in industrial control systems. Journal of Information Security and Applications. 94. 104206–104206.
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Ayas, Selen, et al.. (2024). Enhancing the adversarial robustness in medical image classification: exploring adversarial machine learning with vision transformers-based models. Neural Computing and Applications. 37(12). 7971–7989. 1 indexed citations
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Ayas, Selen, et al.. (2024). StainSWIN: Vision transformer-based stain normalization for histopathology image analysis. Engineering Applications of Artificial Intelligence. 133. 108136–108136. 5 indexed citations
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Ayas, Selen, et al.. (2024). Evaluating and enhancing the robustness of vision transformers against adversarial attacks in medical imaging. Medical & Biological Engineering & Computing. 63(3). 673–690.
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Ayas, Selen, et al.. (2023). Anomaly Detection in Predicted Water Treatment Data Using Hybrid CNN-LSTM Network Model. 1–4. 1 indexed citations
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Ayas, Selen. (2022). Multiclass skin lesion classification in dermoscopic images using swin transformer model. Neural Computing and Applications. 35(9). 6713–6722. 43 indexed citations
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Hacıefendioğlu, Kemal, et al.. (2022). Automatic Estimation of Post-fire Compressive Strength Reduction of Masonry Structures Using Deep Convolutional Neural Network. Fire Technology. 58(5). 2779–2809. 5 indexed citations
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Ayas, Selen & Esra Tunç Görmüş. (2022). SpectralSWIN: a spectral-swin transformer network for hyperspectral image classification. International Journal of Remote Sensing. 43(11). 4025–4044. 40 indexed citations
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Ayas, Selen & Murat Ekіncі. (2019). Single image super resolution using dictionary learning and sparse coding with multi-scale and multi-directional Gabor feature representation. Information Sciences. 512. 1264–1278. 25 indexed citations
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Ayas, Selen & Murat Ekіncі. (2019). Microscopic image super resolution using deep convolutional neural networks. Multimedia Tools and Applications. 79(21-22). 15397–15415. 8 indexed citations
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Ayas, Selen, Esra Tunç Görmüş, & Murat Ekіncі. (2018). A novel pan sharpening method via sparse representation over learned dictionary. 1–4. 1 indexed citations
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Üstübioğlu, Beste, et al.. (2015). Image forgery detection based on Colour SIFT. 2. 1741–1744. 5 indexed citations
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Ayas, Selen & Murat Ekіncі. (2014). Random forest-based tuberculosis bacteria classification in images of ZN-stained sputum smear samples. Signal Image and Video Processing. 8(S1). 49–61. 49 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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