1. Ozyurt, H., & Ozyurt, O. (2025). Decoding educational augmented reality research trends: a topic modeling analysis. Education and Information Technologies 30 (2025), 57-87 https://doi.org/10.1007/s10639-024-12943-1 (Q1)
2. Balta, O., Yilmaz, E. , & Tatar Yilmaz, G. (2025). Exploring Inhibition Mechanisms in Wildtype and T315I BCR?ABL1: An In Silico Approach Integrating Virtual Screening, MD Simulations, and MM?GBSA Analysis. Journal of Computational Chemistry, 46(1), e27545. https://doi.org/10.1002/jcc.27545 (Q2)
3. Aslan, A., & Özyurt, Ö. (2025). Exploring research themes in the Journal of Librarianship and Information Science: Insights from topic modelings. Journal of Librarianship and Information Science, 0(0). https://doi.org/10.1177/09610006251318363 (Q2)
4. Yilmaz, E., Görürgöz, C., Kış, H. C., Canger, E. M., & ÖztaÅŸ, B. (2025). Forensic dental age estimation with deep learning: a modified xception model for panoramic X-Ray images. Forensic Science, Medicine and Pathology, 1-15 https://doi.org/10.1007/s12024-025-00962-4 (Q2). 
5. Albayrak, M., and K. Turhan. 2025. “ Genetic and Environmental Factors of Nicotine Addiction: Examination of Multiple Substance Addictions.” American Journal of Medical Genetics Part B: Neuropsychiatric Genetics 1–11. https://doi.org/10.1002/ajmg.b.33057 (Q3).
6. KoÅŸmaz Sünnetci, B., Bingöl, Ö., Gedikli, E., Ekinci, M., DoÄŸan, R. Ö., Türk, S., & Güngör, N. (2025). A Video-Based Mobile Palmprint Dataset and an Illumination-Robust Deep Learning Architecture for Unconstrained Environments. Applied Sciences, 15(21), 11368. https://doi.org/10.3390/app152111368
7. Akti Aslan, S., Turgut, Y. E., Aslan, A., & Özyurt, Ö. (2025). Unveiling 50 years of librarianship research: An innovative study using unsupervised AI techniques. Journal of Librarianship and Information Science, 0(0). https://doi.org/10.1177/09610006251388100

1. Albayrak, M., & Albayrak, A. (2025). A holistic view on the COVID-19 epidemic process: smoking cessation behaviour, epidemic process and precautions. Health Systems, 1–7. https://doi.org/10.1080/20476965.2025.2450342

2. Albayrak M. & Turhan K. (2025) Model-Based Feature Selection Using Structural Equation Modeling for Enhanced Classification Performance in High-Dimensional Datasets, Gazi University Journal of Science, 38 (4). https://doi.org/10.35378/gujs.1507978

1. Bingöl, Ö. (2025). Classification of Turkish cuisine food images using transformer-based deep learning models. GümüÅŸhane Üniversitesi Fen Bilimleri Dergisi, 15(2), 545-562. https://doi.org/10.17714/gumusfenbil.1666480

Conference Paper

• Sünnetci, B. K., Bingöl, Ö., Gedikli, E., & Ekinci, M. (2025, May). Depth Estimation Based Automatic Pose Correction in Hand Images. In 2025 7th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA) (pp. 1-8). IEEE. 10.1109/ICHORA65333.2025.11017258

1. Dr. Lecturer Ercüment YILMAZ, COST Open Call 2024-1, CA24101, Testing Fundamental Physics with Seismology. https://www.cost.eu/actions/CA24101/

1. Lead Sayyad ALIZADEH, Researcher Prof. Dr. Özcan ÖZYURT, Researcher Dr. Lecturer Özkan BÄ°NGÖL, Researcher DR. Hamed SHAMSI, Advanced Methods in Shoe Print Identification: Dataset Expansion and Deep Learning Based Recognition.