Betül Ay

799 total citations
22 papers, 524 citations indexed

About

Betül Ay is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Betül Ay has authored 22 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in Betül Ay's work include Topic Modeling (5 papers), Sentiment Analysis and Opinion Mining (4 papers) and Face recognition and analysis (4 papers). Betül Ay is often cited by papers focused on Topic Modeling (5 papers), Sentiment Analysis and Opinion Mining (4 papers) and Face recognition and analysis (4 papers). Betül Ay collaborates with scholars based in Türkiye, Malaysia and Singapore. Betül Ay's co-authors include Galip Aydın, Muhammed Talo, Ulaş Baran Baloğlu, U. Rajendra Acharya, Özal Yıldırım, Subha D. Puthankattil, Fatih Ertam, Mehmet Karaköse and Rüya Şamlı and has published in prestigious journals such as IEEE Access, Applied Sciences and Neural Computing and Applications.

In The Last Decade

Betül Ay

19 papers receiving 496 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Betül Ay Türkiye 11 180 144 104 73 59 22 524
Seral Özşen Türkiye 11 169 0.9× 108 0.8× 73 0.7× 51 0.7× 49 0.8× 38 453
Álvaro A. Orozco Colombia 13 224 1.2× 182 1.3× 46 0.4× 84 1.2× 133 2.3× 95 650
Hyun-Soo Choi South Korea 16 179 1.0× 178 1.2× 101 1.0× 87 1.2× 44 0.7× 60 779
Md. Rashed-Al-Mahfuz Bangladesh 10 200 1.1× 185 1.3× 79 0.8× 50 0.7× 97 1.6× 15 585
Sajid Gul Khawaja Pakistan 12 113 0.6× 65 0.5× 60 0.6× 95 1.3× 87 1.5× 50 496
Stanisław Saganowski Poland 11 121 0.7× 161 1.1× 62 0.6× 64 0.9× 201 3.4× 28 573
Delaram Sadeghi Australia 9 352 2.0× 173 1.2× 81 0.8× 72 1.0× 23 0.4× 11 710
Abdullah Y. Muaad India 17 79 0.4× 279 1.9× 79 0.8× 100 1.4× 75 1.3× 37 715
Allam Jaya Prakash India 15 162 0.9× 115 0.8× 177 1.7× 160 2.2× 31 0.5× 30 633
Антон Попов Ukraine 12 293 1.6× 81 0.6× 108 1.0× 32 0.4× 31 0.5× 72 506

Countries citing papers authored by Betül Ay

Since Specialization
Citations

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

Fields of papers citing papers by Betül Ay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Betül Ay

This figure shows the co-authorship network connecting the top 25 collaborators of Betül Ay. A scholar is included among the top collaborators of Betül Ay 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 Betül Ay. Betül Ay 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.
Ay, Betül, et al.. (2025). Towards Efficient Video Stream Analysis: A Distributed Deep Learning Framework: The DiVA Approach. Traitement du signal. 42(3). 1541–1552.
2.
3.
Ay, Betül, et al.. (2023). Turkish abstractive text document summarization using text to text transfer transformer. Alexandria Engineering Journal. 68. 1–13. 16 indexed citations
4.
Ay, Betül, et al.. (2022). Automated classification of nasal polyps in endoscopy video-frames using handcrafted and CNN features. Computers in Biology and Medicine. 147. 105725–105725. 21 indexed citations
5.
Ay, Betül, et al.. (2022). Deep transfer learning-based visual classification of pressure injuries stages. Neural Computing and Applications. 34(18). 16157–16168. 19 indexed citations
6.
Ay, Betül. (2022). Open-Set Learning-Based Hologram Verification System Using Generative Adversarial Networks. IEEE Access. 10. 25114–25124. 11 indexed citations
7.
Ay, Betül, et al.. (2022). Active Face Spoof Detection Using Image Distortion Analysis. DergiPark (Istanbul University). 17(2). 435–450.
8.
Ay, Betül, et al.. (2021). A Review of Face Anti-spoofing Methods for Face Recognition Systems. 1–9. 11 indexed citations
9.
Ay, Betül, et al.. (2021). User Representation Learning for Social Networks: An Empirical Study. Applied Sciences. 11(12). 5489–5489. 2 indexed citations
10.
Ay, Betül, et al.. (2020). Average Neural Face Embeddings for Gender Recognition. European Journal of Science and Technology. 522–527. 3 indexed citations
11.
Ay, Betül, Özal Yıldırım, Muhammed Talo, et al.. (2019). Automated Depression Detection Using Deep Representation and Sequence Learning with EEG Signals. Journal of Medical Systems. 43(7). 205–205. 195 indexed citations
12.
Yıldırım, Özal, Muhammed Talo, Betül Ay, et al.. (2019). Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals. Computers in Biology and Medicine. 113. 103387–103387. 114 indexed citations
13.
Ay, Betül, et al.. (2019). A Visual Similarity Recommendation System using Generative Adversarial Networks. 44–48. 22 indexed citations
14.
Ay, Betül, et al.. (2019). user2Vec: Social Media User Representation Based on Distributed Document Embeddings. 1–5. 7 indexed citations
15.
Ay, Betül, et al.. (2018). Evaluating deep learning models for sentiment classification. Concurrency and Computation Practice and Experience. 30(21). 48 indexed citations
16.
17.
Ay, Betül, et al.. (2018). Binary Classification of Criminal Tools from the Images of the Case Using CNN. 323. 1–6. 2 indexed citations
18.
Ay, Betül, et al.. (2017). Preparation of Improved Turkish DataSet for Sentiment Analysis in Social Media. Springer Link (Chiba Institute of Technology). 3 indexed citations
19.
20.
Ay, Betül & Mehmet Karaköse. (2013). Motion classification approach based on biomechanical analysis of human activities. 1–8. 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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