Erdal Özbay

578 total citations
39 papers, 344 citations indexed

About

Erdal Özbay is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Erdal Özbay has authored 39 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Erdal Özbay's work include AI in cancer detection (10 papers), 3D Surveying and Cultural Heritage (4 papers) and Brain Tumor Detection and Classification (4 papers). Erdal Özbay is often cited by papers focused on AI in cancer detection (10 papers), 3D Surveying and Cultural Heritage (4 papers) and Brain Tumor Detection and Classification (4 papers). Erdal Özbay collaborates with scholars based in Türkiye, Iran and United States. Erdal Özbay's co-authors include Feyza Altunbey Özbay, Ahmet Çınar, Farhad Soleimanian Gharehchopogh, Emine Cengil, Muhammed Yıldırım, Farhad Soleimanian Gharehchopogh, Nima Khodadadi, Seyedali Mirjalili and Ahmet Cevahir Çınar and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Applied Soft Computing.

In The Last Decade

Erdal Özbay

30 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erdal Özbay Türkiye 12 132 120 72 58 34 39 344
Amin Alqudah Jordan 14 138 1.0× 112 0.9× 129 1.8× 22 0.4× 22 0.6× 32 413
Sonali Dash India 15 106 0.8× 206 1.7× 139 1.9× 82 1.4× 46 1.4× 37 446
Hossein Kashiani United States 6 143 1.1× 179 1.5× 103 1.4× 51 0.9× 31 0.9× 16 347
J. Anitha India 10 96 0.7× 147 1.2× 66 0.9× 101 1.7× 25 0.7× 26 408
Muyi Sun China 13 107 0.8× 229 1.9× 188 2.6× 32 0.6× 47 1.4× 38 556
Amit Verma India 7 120 0.9× 256 2.1× 55 0.8× 117 2.0× 32 0.9× 17 445
Umair Khan Pakistan 9 241 1.8× 109 0.9× 84 1.2× 160 2.8× 53 1.6× 27 597
Qingji Guan China 11 193 1.5× 284 2.4× 225 3.1× 15 0.3× 19 0.6× 20 596
Edmar Rezende Brazil 7 130 1.0× 209 1.7× 138 1.9× 28 0.5× 26 0.8× 8 497

Countries citing papers authored by Erdal Özbay

Since Specialization
Citations

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

Fields of papers citing papers by Erdal Özbay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erdal Özbay

This figure shows the co-authorship network connecting the top 25 collaborators of Erdal Özbay. A scholar is included among the top collaborators of Erdal Özbay 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 Erdal Özbay. Erdal Özbay 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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Özbay, Erdal, Feyza Altunbey Özbay, & Farhad Soleimanian Gharehchopogh. (2024). Kidney Tumor Classification on CT images using Self-supervised Learning. Computers in Biology and Medicine. 176. 108554–108554. 15 indexed citations
3.
Özbay, Erdal, Feyza Altunbey Özbay, & Farhad Soleimanian Gharehchopogh. (2024). Visualization and classification of mushroom species with multi-feature fusion of metaheuristics-based convolutional neural network model. Applied Soft Computing. 164. 111936–111936. 20 indexed citations
4.
Özbay, Erdal, Feyza Altunbey Özbay, Nima Khodadadi, Farhad Soleimanian Gharehchopogh, & Seyedali Mirjalili. (2024). Multifeature Fusion Method with Metaheuristic Optimization for Automated Voice Pathology Detection. Journal of Voice. 8 indexed citations
5.
Özbay, Feyza Altunbey, Erdal Özbay, & Farhad Soleimanian Gharehchopogh. (2024). An Improved Artificial Rabbits Optimization Algorithm with Chaotic Local Search and Opposition-Based Learning for Engineering Problems and Its Applications in Breast Cancer Problem. Computer Modeling in Engineering & Sciences. 141(2). 1067–1110. 14 indexed citations
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Özbay, Erdal, et al.. (2024). Detection of COVID-19 Anti-Vaccination from Twitter Data Using Deep Learning and Feature Selection Approaches. SHILAP Revista de lepidopterología. 3(2). 116–133.
9.
Özbay, Erdal, et al.. (2024). DIAGNOSIS OF PROSTATE CANCER WITH ENHANCED EFFICIENCY USING FINE-TUNED CNN AND TRANSFER LEARNING. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi. 27(4). 1306–1319.
10.
Özbay, Feyza Altunbey & Erdal Özbay. (2023). An NCA-based Hybrid CNN Model for Classification of Alzheimer’s Disease on Grad-CAM-enhanced Brain MRI Images. DergiPark (Istanbul University). 18(1). 139–155. 13 indexed citations
11.
Özbay, Erdal & Feyza Altunbey Özbay. (2023). Interpretable pap-smear image retrieval for cervical cancer detection with rotation invariance mask generation deep hashing. Computers in Biology and Medicine. 154. 106574–106574. 25 indexed citations
12.
Özbay, Erdal & Feyza Altunbey Özbay. (2023). Interpretable features fusion with precision MRI images deep hashing for brain tumor detection. Computer Methods and Programs in Biomedicine. 231. 107387–107387. 25 indexed citations
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Özbay, Erdal & Muhammed Yıldırım. (2023). Classification of satellite images for ecology management using deep features obtained from convolutional neural network models. Iran Journal of Computer Science. 6(3). 185–193. 5 indexed citations
15.
Özbay, Erdal, et al.. (2022). Ön-Eğitimli CNN Mimarilerinin Füzyonu ile Mısır Yaprağı Hastalıklarının Sınıflandırılması. European Journal of Science and Technology. 2 indexed citations
16.
Özbay, Feyza Altunbey & Erdal Özbay. (2022). Kaotik Denizatı Optimizasyon Algoritması. European Journal of Science and Technology.
17.
Özbay, Erdal, Ahmet Çınar, & Feyza Altunbey Özbay. (2021). 3D Human Activity Classification with 3D Zernike Moment Based Convolutional, LSTM-Deep Neural Networks. Traitement du signal. 38(2). 269–280. 9 indexed citations
18.
Çınar, Ahmet Cevahir, et al.. (2020). A New Object Tracking Framework for Interest Point Based Feature Extraction Algorithms. Elektronika ir Elektrotechnika. 26(1). 63–71. 4 indexed citations
19.
Özbay, Erdal & Ahmet Çınar. (2016). A METRIC BASED NOVEL CLASSIFICATION APPROACH TO KINECT POINT CLOUD DATA. NWSA Academic Journals. 11(4). 153–170. 2 indexed citations
20.
Özbay, Erdal & Ahmet Çınar. (2013). A Novel Approach to Smoothing on 3D Structured Adaptive Mesh of the Kinect-Based Models. 13–22. 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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