OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A Rapid Self-Supervised Deep-Learning-Based Method for Post-Earthquake Damage Detection Using UAV Data (Case Study: Sarpol-e Zahab, Iran)
Narges Takhtkeshha, Ali Mohammadzadeh, Bahram Salehi
Remote Sensing (2022) Vol. 15, Iss. 1, pp. 123-123
Open Access | Times Cited: 15

Showing 15 citing articles:

A Novel Weighted Ensemble Transferred U-Net Based Model (WETUM) for Postearthquake Building Damage Assessment From UAV Data: A Comparison of Deep Learning- and Machine Learning-Based Approaches
Ehsan Khankeshizadeh, Ali Mohammadzadeh, Hossein Arefi, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-17
Closed Access | Times Cited: 23

A Survey on UAV Applications in Smart City Management: Challenges, Advances, and Opportunities
Haoran Xu, Lizhe Wang, Wei Han, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 8982-9010
Open Access | Times Cited: 15

Rapid automatic detection of collapsed buildings with single period LiDAR data after an earthquake
Ömer Canözü, Hayrettin Acar
Earth Science Informatics (2025) Vol. 18, Iss. 1
Open Access

Reconstructing the complete force-deformation response envelope for unreinforced masonry walls using self-supervised learning
Sepehr Saeidi, Amir Hossein Asjodi, Kiarash M. Dolatshahi, et al.
Earthquake Spectra (2025)
Closed Access

Automated detection of damaged buildings in post-disaster scenarios: a case study of Kahramanmaraş (Türkiye) earthquakes on February 6, 2023
Çiğdem Şerifoğlu Yılmaz, Volkan Yılmaz, Kevin Tansey, et al.
Natural Hazards (2023) Vol. 119, Iss. 3, pp. 1247-1271
Closed Access | Times Cited: 5

A paradigm shift in processing large UAV image datasets for emergency management of natural hazards
Marco La Salandra, S. Nicotri, Giacinto Donvito, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 132, pp. 103996-103996
Open Access | Times Cited: 1

AN END-TO-END DEEP LEARNING WORKFLOW FOR BUILDING SEGMENTATION, BOUNDARY REGULARIZATION AND VECTORIZATION OF BUILDING FOOTPRINTS
Simon Šanca, Sander Jyhne, Michele Gazzea, et al.
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2023) Vol. XLVIII-4/W7-2023, pp. 169-175
Open Access | Times Cited: 2

Application of convolutional neural networks to detect damaged buildings
Dymo V.V., Gozhy O.P., Kalinina I.O.
System technologies (2024) Vol. 3, Iss. 152, pp. 107-114
Open Access

Automatic Annotation Of 3D Multispectral LiDAR Data For Land Cover Classification
Narges Takhtkeshha, Onur Can Bayrak, Gottfried Mandlburger, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024), pp. 8645-8649
Closed Access

Earthquake-induced building damage detection using the fusion of optical and radar data in intelligent systems
Mahdieh Ghahrloo, Mehdi Mokhtarzade
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access

Mapping housing stock characteristics from drone images for climate resilience in the Caribbean
Isabelle Tingzon, Nuala Margaret Cowan, Pierre Chrzanowski
Environmental Data Science (2024) Vol. 3
Open Access

Methodology of data processing for individual trees monitoring based on UAV multispectral measurements
A. A. Lamaka
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa (2023) Vol. 20, Iss. 5, pp. 9-27
Open Access

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