Digital Transformation in The Documentation And Structural Analysis of Historic Massive Structures: A Bibliometric Analysis (1997–2025)

Ay, İ. (2025). Hakkari Research From 1976 To The Present: Bibliometric Analysis of Academic Publications. Journal of Art, Design and Architecture (JADA+Arch), 1(1), 1–20.

Ay, İ., & Dal, M. (2026). Bibliometric Analysis of Life Cycle Assessment and Sustainable Design Literature Using Vosviewer. In Sustainable Approaches in Spatial Design (pp. 387–416). IGI Global. https://doi.org/10.4018/979-8-3373-0174-7.ch013

Azimi, M., Eslamlou, A. D., & Pekcan, G. (2020). Data-Driven Structural Health Monitoring and Damage Detection through Deep Learning: State-of-the-Art Review. SENSORS, 20(10). https://doi.org/10.3390/s20102778

Bekler, S., Ay, İ., Dal, M., & Bekler, B. (2024). Bilimsel Bir Bakış: Küresel İklim Değişikliği ve Sürdürülebilirlik Alanındaki Araştırma Trendleri (1992-2024). In M. Dal (Ed.), Mimarlıkta Güncel Araştırma, Tasarım ve Yöntem-2024 (pp. 1–24). Livre de Lyon.

Cha, Y.-J., Ali, R., Lewis, J., & Buyukozturk, O. (2024). Deep learning-based structural health monitoring. AUTOMATION IN CONSTRUCTION, 161. https://doi.org/10.1016/j.autcon.2024.105328

Dong, L., & Shan, J. (2013). A comprehensive review of earthquake-induced building damage detection with remote sensing techniques. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 84, 85–99. https://doi.org/10.1016/j.isprsjprs.2013.06.011

Dorafshan, S., Thomas, R. J., & Maguire, M. (2018). Comparison of deep convolutional neural networks and edge detectors for image-based crack detection in concrete. CONSTRUCTION AND BUILDING MATERIALS, 186, 1031–1045. https://doi.org/10.1016/j.conbuildmat.2018.08.011

Erdoğan, J., Dal, M., & Ay, İ. (2025). Bibliometric Analysis of Culture and Art Literature: Trends and Findings of Academic Publications With Scopus Data. Munzur 8th International Conference on Social Sciences, 369–381.

Hassani, S., & Dackermann, U. (2023). A Systematic Review of Advanced Sensor Technologies for Non-Destructive Testing and Structural Health Monitoring. SENSORS, 23(4). https://doi.org/10.3390/s23042204

Kang, D., & Cha, Y.-J. (2018). Autonomous UAVs for Structural Health Monitoring Using Deep Learning and an Ultrasonic Beacon System with Geo-Tagging. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 33(10), 885–902. https://doi.org/10.1111/mice.12375

Malekloo, A., Ozer, E., AlHamaydeh, M., & Girolami, M. (2022). Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 21(4), 1906–1955. https://doi.org/10.1177/14759217211036880

Olsen, M. J., Kuester, F., Chang, B. J., & Hutchinson, T. C. (2010). Terrestrial Laser Scanning-Based Structural Damage Assessment. JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 24(3), 264–272. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000028

Özer, D., Ay, İ., Alp Dal, N., Erdoğan, J., Halis Özmen, E. G., Tekin, S., & Dal, M. (2025). Bibliometric Analysis of Graduate Theses In Turkey: The Rising Academic Trends and Future Vision. Journal of Art, Design and Architecture (JADA+Arch), 1(1), 21–34.

Özmen Halis, E. G., Ay, İ., & Dal, M. (2025). Uluslararası Makalelerde Biyofilik Disiplininin Bibliyometrik Analizlerle Modellenmesi. In M. Dal, N. Alp Dal, & İ. Ay (Eds.), Bibliyometrik Analiz-1 (pp. 1–22). Akademisyen Kitabevi.

Park, S. W., Park, H. S., Kim, J. H., & Adeli, H. (2015). 3D displacement measurement model for health monitoring of structures using a motion capture system. MEASUREMENT, 59, 352–362. https://doi.org/10.1016/j.measurement.2014.09.063

Qiu, Q., & Lau, D. (2023). Real-time detection of cracks in tiled sidewalks using YOLO-based method applied to unmanned aerial vehicle (UAV) images. AUTOMATION IN CONSTRUCTION, 147. https://doi.org/10.1016/j.autcon.2023.104745

Rahnemoonfar, M., Chowdhury, T., Sarkar, A., Varshney, D., Yari, M., & Murphy, R. R. (2021). FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding. IEEE ACCESS, 9, 89644–89654. https://doi.org/10.1109/ACCESS.2021.3090981

Sarrafi, A., Mao, Z., Niezrecki, C., & Poozesh, P. (2018). Vibration-based damage detection in wind turbine blades using Phase-based Motion Estimation and motion magnification. JOURNAL OF SOUND AND VIBRATION, 421, 300–318. https://doi.org/10.1016/j.jsv.2018.01.050

Sony, S., Laventure, S., & Sadhu, A. (2019). A literature review of next-generation smart sensing technology in structural health monitoring. STRUCTURAL CONTROL & HEALTH MONITORING, 26(3). https://doi.org/10.1002/stc.2321

Spencer Jr., B. F., Hoskere, V., & Narazaki, Y. (2019). Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring. ENGINEERING, 5(2), 199–222. https://doi.org/10.1016/j.eng.2018.11.030