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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:

On Transfer Learning for Building Damage Assessment from Satellite Imagery in Emergency Contexts
Isabelle Bouchard, Marie‐Ève Rancourt, Daniel Aloise, et al.
Remote Sensing (2022) Vol. 14, Iss. 11, pp. 2532-2532
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Transfer learning in environmental remote sensing
Yuchi Ma, Shuo Chen, Stefano Ermon, et al.
Remote Sensing of Environment (2023) Vol. 301, pp. 113924-113924
Closed Access | Times Cited: 109
Evaluation of Deep Learning Models for Building Damage Mapping in Emergency Response Settings
Sesa Wiguna, Bruno Adriano, Erick Mas, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 5651-5667
Open Access | Times Cited: 7
Integrating Machine Learning and Remote Sensing in Disaster Management: A Decadal Review of Post-Disaster Building Damage Assessment
Sultan Al Shafian, Da Hu
Buildings (2024) Vol. 14, Iss. 8, pp. 2344-2344
Open Access | Times Cited: 5
Performance Analysis of a Deep Learning-Based Object Detection Approach for Post-Disaster Building Damage Level Assessment Using YOLO and Faster R-CNN
Shilpa Pimpalkar, Madhavi Devaraj, Navalgund Rao
Lecture notes in electrical engineering (2025), pp. 167-183
Closed Access
Deep Ensemble Learning for Rapid Large-Scale Postearthquake Damage Assessment: Application to Satellite Images from the 2023 Türkiye Earthquakes
Mohammad Hesam Soleimani‐Babakamali, Mohammad Askari, Mohammad Ali Heravi, et al.
ASCE OPEN Multidisciplinary Journal of Civil Engineering (2025) Vol. 3, Iss. 1
Closed Access
Post Disaster Damage Assessment Using Ultra-High-Resolution Aerial Imagery with Semi-Supervised Transformers
Deepank Kumar Singh, Vedhus Hoskere
Sensors (2023) Vol. 23, Iss. 19, pp. 8235-8235
Open Access | Times Cited: 15
BD-SKUNet: Selective-Kernel UNets for Building Damage Assessment in High-Resolution Satellite Images
Seyed Ali Ahmadi, Ali Mohammadzadeh, Naoto Yokoya, et al.
Remote Sensing (2023) Vol. 16, Iss. 1, pp. 182-182
Open Access | Times Cited: 9
A Deep Learning-Based Method for the Semi-Automatic Identification of Built-Up Areas within Risk Zones Using Aerial Imagery and Multi-Source GIS Data: An Application for Landslide Risk
Mauro Francini, Carolina Salvo, Antonio Viscomi, et al.
Remote Sensing (2022) Vol. 14, Iss. 17, pp. 4279-4279
Open Access | Times Cited: 9
Crisis Assessment Through Satellite Footage Using Deep Learning Techniques for Efficient Disaster Response
Anandakumar Haldorai, R. Babitha Lincy, M. Suriya, et al.
EAI/Springer Innovations in Communication and Computing (2024), pp. 371-382
Closed Access | Times Cited: 1
Uncovering Bias in Building Damage Assessment from Satellite Imagery
Dennis Melamed, Cameron Johnson, Isaac D. Gerg, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024), pp. 8095-8099
Closed Access | Times Cited: 1
A Lightweight Transfer Learning-Based Model for Building Classification in Aerial Imagery
Jacob J. Herman, Rami Zewail, Tetsuji Ogawa, et al.
(2023)
Closed Access | Times Cited: 2
Unsupervised learning framework for region-based damage assessment on xBD, a large satellite imagery
Prahlada Varada Mittal, Rishabh Bafna, Ankush Mittal
Natural Hazards (2023) Vol. 118, Iss. 2, pp. 1619-1643
Open Access | Times Cited: 2
Climate Resilience through AI-Driven Hurricane Damage Assessments
Deepank Kumar Singh, Vedhus Hoskere
Proceedings of the AAAI Symposium Series (2024) Vol. 2, Iss. 1, pp. 140-147
Open Access
Automating tephra fall building damage assessment using deep learning
Eleanor Tennant, Susanna F. Jenkins, V. Miller, et al.
(2024)
Open Access
Change-centric building damage assessment across multiple disasters using deep learning
Amina Asif, Hamza Rafique, Khurram Khan Jadoon, et al.
International Journal of Data Science and Analytics (2024)
Closed Access
Comment on nhess-2024-81
Sebastien Biass
(2024)
Open Access
Reply on RC1
Eleanor Tennant
(2024)
Open Access
Comment on nhess-2024-81

(2024)
Open Access
Reply on RC2
Eleanor Tennant
(2024)
Open Access
Post flood image classification from satellite images using convolutional neural network
Sanket Kulkarni, Ansuman Mahapatra
Research Square (Research Square) (2024)
Closed Access
Towards transferable building damage assessment via unsupervised single-temporal change adaptation
Zhuo Zheng, Yanfei Zhong, Liangpei Zhang, et al.
Remote Sensing of Environment (2024) Vol. 315, pp. 114416-114416
Closed Access
EO for Poverty: Developing Metrics to Support Decision Making Using Earth Observation
Gary R. Watmough, Charlotte L.J. Marcinko
Elsevier eBooks (2024)
Closed Access
Automating tephra fall building damage assessment using deep learning
Eleanor Tennant, Susanna F. Jenkins, V. Miller, et al.
Natural hazards and earth system sciences (2024) Vol. 24, Iss. 12, pp. 4585-4608
Open Access
Building A Deep Learning Model for Multi-Label Classification of Natural Disasters
Qiang Cao, Yan Liu, Guangxu Wang, et al.
(2023)
Closed Access | Times Cited: 1
Post flood assessment using deep learning techniques
Sanket S. Kulkarni, Ansuman Mahapatra
AIP conference proceedings (2023)
Closed Access | Times Cited: 1
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