Derya Avcı

1.7k total citations
47 papers, 1.3k citations indexed

About

Derya Avcı is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Derya Avcı has authored 47 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 8 papers in Media Technology. Recurrent topics in Derya Avcı's work include Artificial Intelligence in Healthcare (7 papers), Machine Learning and ELM (6 papers) and Brain Tumor Detection and Classification (6 papers). Derya Avcı is often cited by papers focused on Artificial Intelligence in Healthcare (7 papers), Machine Learning and ELM (6 papers) and Brain Tumor Detection and Classification (6 papers). Derya Avcı collaborates with scholars based in Türkiye, Australia and Poland. Derya Avcı's co-authors include Melek Acar Boyacıoğlu, Akif Doğantekin, Eser Sert, Engin Avcı, Esin Doğantekin, Fatih Özyurt, Asaf Varol, Aykut Di̇ker, Özlem Özmen and Kemal Leblebi̇ci̇oğlu and has published in prestigious journals such as Expert Systems with Applications, Biomedical Signal Processing and Control and Multimedia Tools and Applications.

In The Last Decade

Derya Avcı

43 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Derya Avcı Türkiye 19 500 305 199 178 167 47 1.3k
Olga Valenzuela Spain 18 462 0.9× 163 0.5× 177 0.9× 25 0.1× 58 0.3× 84 1.1k
Ivana Strumberger Serbia 27 1.0k 2.0× 344 1.1× 154 0.8× 49 0.3× 43 0.3× 71 2.0k
Timea Bezdan Serbia 21 635 1.3× 241 0.8× 66 0.3× 39 0.2× 59 0.4× 35 1.2k
Harun Uğuz Türkiye 15 824 1.6× 264 0.9× 56 0.3× 63 0.4× 25 0.1× 37 1.5k
Cătălin Stoean Romania 19 602 1.2× 124 0.4× 92 0.5× 70 0.4× 15 0.1× 75 1.1k
İbrahim Türkoğlu Türkiye 22 913 1.8× 316 1.0× 70 0.4× 572 3.2× 40 0.2× 104 2.4k
Ruxandra Stoean Romania 16 496 1.0× 120 0.4× 80 0.4× 71 0.4× 17 0.1× 71 929
Kalpna Guleria India 20 426 0.9× 170 0.6× 21 0.1× 129 0.7× 100 0.6× 156 1.9k
Michał Wieczorek Poland 12 305 0.6× 326 1.1× 40 0.2× 21 0.1× 106 0.6× 21 886
Jakub Siłka Poland 12 305 0.6× 323 1.1× 40 0.2× 21 0.1× 106 0.6× 14 876

Countries citing papers authored by Derya Avcı

Since Specialization
Citations

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

Fields of papers citing papers by Derya Avcı

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Derya Avcı

This figure shows the co-authorship network connecting the top 25 collaborators of Derya Avcı. A scholar is included among the top collaborators of Derya Avcı 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 Derya Avcı. Derya Avcı 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.
Avcı, Derya, et al.. (2025). Diagnosis of pes planus from X-ray images: Enhanced feature selection with deep learning and machine learning techniques. Biomedical Signal Processing and Control. 106. 107769–107769. 4 indexed citations
2.
Avcı, Derya, et al.. (2025). Classification of Brain Tumors Using Artificial Intelligence. DergiPark (Istanbul University). 9(1). 8–22.
3.
Avcı, Derya. (2025). A New Pes Planus Automatic Diagnosis Method: ViT-OELM Hybrid Modeling. Diagnostics. 15(7). 867–867.
4.
Öztekin, Pelin Seher, et al.. (2024). Comparison of Explainable Artificial Intelligence Model and Radiologist Review Performances to Detect Breast Cancer in 752 Patients. Journal of Ultrasound in Medicine. 43(11). 2051–2068. 5 indexed citations
5.
Avcı, Derya, Eser Sert, Fatih Özyurt, & Engin Avcı. (2023). MFIF-DWT-CNN: Multi-focus ımage fusion based on discrete wavelet transform with deep convolutional neural network. Multimedia Tools and Applications. 83(4). 10951–10968. 13 indexed citations
6.
Avcı, Derya, et al.. (2023). The Effect of Super Resolution Method on Classification Performance of Satellite Images. DergiPark (Istanbul University). 18(2). 331–344. 2 indexed citations
7.
Avcı, Derya, et al.. (2023). A Novel Deep Transfer Learning-Based Approach for Automated Pes Planus Diagnosis Using X-ray Image. Diagnostics. 13(9). 1662–1662. 9 indexed citations
8.
Avcı, Derya, et al.. (2023). Komşuluk Bileşen Analizi Tabanlı Makine Öğrenimi Yöntemleri ile Obezite Seviyelerinin Tahmini. Fırat Üniversitesi Mühendislik Bilimleri Dergisi. 35(2). 433–442. 2 indexed citations
9.
Avcı, Derya, et al.. (2021). Uydu İmgelerine Derin Öğrenme Tabanlı Süper Çözünürlük Yöntemlerinin Uygulanması. Afyon Kocatepe University Journal of Sciences and Engineering. 21(5). 1069–1077.
10.
Di̇ker, Aykut, et al.. (2021). Examination of the ECG signal classification technique DEA-ELM using deep convolutional neural network features. Multimedia Tools and Applications. 80(16). 24777–24800. 19 indexed citations
11.
Özyurt, Fatih, Eser Sert, & Derya Avcı. (2019). An expert system for brain tumor detection: Fuzzy C-means with super resolution and convolutional neural network with extreme learning machine. Medical Hypotheses. 134. 109433–109433. 149 indexed citations
12.
Sert, Eser & Derya Avcı. (2018). Brain tumor segmentation using neutrosophic expert maximum fuzzy-sure entropy and other approaches. Biomedical Signal Processing and Control. 47. 276–287. 35 indexed citations
13.
Sert, Eser & Derya Avcı. (2018). A new edge detection approach via neutrosophy based on maximum norm entropy. Expert Systems with Applications. 115. 499–511. 27 indexed citations
14.
Özyurt, Fatih, Mesut Toğaçar, Engin Avcı, & Derya Avcı. (2018). Classification of Breast Cancer Images by Using of Convolutional Attribute of ANN. 3 indexed citations
15.
Di̇ker, Aykut, et al.. (2018). A new technique for ECG signal classification genetic algorithm Wavelet Kernel extreme learning machine. Optik. 180. 46–55. 53 indexed citations
16.
Avcı, Derya & Müşerref Tatman Otkun. (2017). Evalution of Antibacterial Activities of Some Antiseptics and Disinfectants. Turkish Bulletin of Hygiene and Experimental Biology. 74(3). 211–220. 2 indexed citations
17.
Avcı, Derya. (2016). A novel meaningful secret image sharing method based on Arabic letters. Kuwait Journal of Science. 43(4). 4 indexed citations
18.
Avcı, Derya, Kemal Leblebi̇ci̇oğlu, Mustafa Poyraz, & Esin Doğantekin. (2014). A New Method Based on Adaptive Discrete Wavelet Entropy Energy and Neural Network Classifier (ADWEENN) for Recognition of Urine Cells from Microscopic Images Independent of Rotation and Scaling. Journal of Medical Systems. 38(2). 7–7. 28 indexed citations
19.
Avcı, Derya, et al.. (2011). The Numerical Solutions of a Two-Dimensional Space-Time Riesz-Caputo Fractional Diffusion Equation. An International Journal of Optimization and Control Theories & Applications (IJOCTA). 1(1). 7 indexed citations
20.
Avcı, Engin & Derya Avcı. (2009). The speaker identification by using genetic wavelet adaptive network based fuzzy inference system. Expert Systems with Applications. 36(6). 9928–9940. 5 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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