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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:

Challenges and limitations of earthquake-induced building damage mapping techniques using remote sensing images-A systematic review
S.S. Matin, Biswajeet Pradhan
Geocarto International (2021) Vol. 37, Iss. 21, pp. 6186-6212
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Operational earthquake-induced building damage assessment using CNN-based direct remote sensing change detection on superpixel level
Yuanzhao Qing, Dongping Ming, Qi Wen, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 112, pp. 102899-102899
Open Access | Times Cited: 67
Early Detection of Earthquakes Using IoT and Cloud Infrastructure: A Survey
Mohamed S. Abdalzaher, Moez Krichen, Derya Yiltas-Kaplan, et al.
Sustainability (2023) Vol. 15, Iss. 15, pp. 11713-11713
Open Access | Times Cited: 37
Remote sensing of diverse urban environments: From the single city to multiple cities
Gang Chen, Yuyu Zhou, James A. Voogt, et al.
Remote Sensing of Environment (2024) Vol. 305, pp. 114108-114108
Closed Access | Times Cited: 16
Automated building damage assessment and large‐scale mapping by integrating satellite imagery, GIS, and deep learning
Abdullah M. Braik, Maria Koliou
Computer-Aided Civil and Infrastructure Engineering (2024) Vol. 39, Iss. 15, pp. 2389-2404
Open Access | Times Cited: 15
Post-Tornado Automated Building Damage Evaluation and Recovery Prediction by Integrating Remote Sensing, Deep Learning, and Restoration Models
Abdullah M. Braik, Maria Koliou
Sustainable Cities and Society (2025), pp. 106286-106286
Closed Access | Times Cited: 1
Extracting Road Traffic Volume in the City before and during covid-19 through Video Remote Sensing
Elżbieta Macioszek, Agata Kurek
Remote Sensing (2021) Vol. 13, Iss. 12, pp. 2329-2329
Open Access | Times Cited: 53
Deep Learning for Earthquake Disaster Assessment: Objects, Data, Models, Stages, Challenges, and Opportunities
Jing Jia, Wenjie Ye
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 4098-4098
Open Access | Times Cited: 18
Exploring innovative techniques for damage control during natural disasters
Moinak Maiti, Parthajit Kayal
Journal of Safety Science and Resilience (2024) Vol. 5, Iss. 2, pp. 147-155
Open Access | Times Cited: 8
Classification of Building Damage Using a Novel Convolutional Neural Network Based on Post-Disaster Aerial Images
Zhonghua Hong, Hongzheng Zhong, Haiyan Pan, et al.
Sensors (2022) Vol. 22, Iss. 15, pp. 5920-5920
Open Access | Times Cited: 23
Backscattering Characteristics of SAR Images in Damaged Buildings Due to the 2016 Kumamoto Earthquake
Shinki Cho, Haoyi Xiu, M. Matsuoka
Remote Sensing (2023) Vol. 15, Iss. 8, pp. 2181-2181
Open Access | Times Cited: 12
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: 10
Post-seismic structural assessment: advanced crack detection through complex feature extraction using pre-trained deep learning and machine learning integration
Hatice Çatal Reis, Veysel Turk, Mustafa Üstüner, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 1
Closed Access
Residential Wildfire Structural Damage Detection Using Deep Learning to Analyze Uncrewed Aerial System (UAS) Imagery, Aerial Imagery, and Satellite Imagery
Dae Kun Kang, Michael J. Olsen, Erica C. Fischer, et al.
Fire and Materials (2025)
Closed Access
Innovative Approaches for Earthquake Estimation Using AI and ML Techniques
Sachin Upadhye, Shanmugasundaram Senathipathi, Krishna Kumar Shreedharan, et al.
Advances in computational intelligence and robotics book series (2025), pp. 203-226
Closed Access
A Big Data-Enabled Decision Support Model for Post-Earthquake Damage Classification of RC Buildings: A Case Study on February 6, Kahramanmaraş Doublet Earthquakes
Sara Mostofi, Ahmet Can Altunışık, Hasan Basri Başağa, et al.
Journal of Earthquake Engineering (2025), pp. 1-23
Closed Access
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
ChatGPT in transforming communication in seismic engineering: Case studies, implications, key challenges and future directions
Partha Pratim Ray
Earthquake Science (2024) Vol. 37, Iss. 4, pp. 352-367
Open Access | Times Cited: 3
Leveraging local neighborhood features in 3D unstructured point cloud data for geometry-based automated damage delineation
Madhu Areti, Zohaib Hasnain
Automation in Construction (2024) Vol. 162, pp. 105393-105393
Closed Access | Times Cited: 2
Cartography and Neural Networks: A Scientometric Analysis Based on CiteSpace
Shiyuan Cheng, Jianchen Zhang, Guangxia Wang, et al.
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 6, pp. 178-178
Open Access | Times Cited: 2
Assessing the Relevance of Emerging Technologies in Disaster Mitigation and Relief Efforts
Tendai Chiguware
Springer eBooks (2024), pp. 539-554
Closed Access | Times Cited: 2
DEEP LEARNING-BASED SCENE CLASSIFICATION OF VERY HIGH-RESOLUTION SATELLITE IMAGERY FOR POST-EARTHQUAKE DAMAGE ASSESSMENT: A CASE STUDY OF THE 2023 KAHRAMANMARAŞ EARTHQUAKES
Dogu Ilmak, Muzaffer Can İban, Dursun Zafer Şeker
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2024) Vol. XLVIII-4/W9-2024, pp. 249-256
Open Access | Times Cited: 1
Executing realistic earthquake simulations in unreal engine with material calibration
Yitong Sun, Hanchun Wang, Zhejun Zhang, et al.
Computers & Graphics (2024) Vol. 124, pp. 104091-104091
Closed Access | Times Cited: 1
A single-building damage detection model based on multi-feature fusion: A case study in Yangbi
Haoguo Du, Xuchuan Lin, Jiang JinZhong, et al.
iScience (2023) Vol. 27, Iss. 1, pp. 108586-108586
Open Access | Times Cited: 2
Post-Seismic Structural Assessment: Advanced Crack Detection Through Complex Feature Extraction Using Pre-Trained Deep Learning and Machine Learning Integration
Hatice Çatal Reis, Veysel Turk, Ramazan Tatli, et al.
(2024)
Closed Access
Flood hazard risk zoning through AHP, GIS, and RS: A case study of Ramganaga River Basin (India)
Gulista Jahan, Nirmala Lohani -
International Journal of Geography Geology and Environment (2024) Vol. 6, Iss. 1, pp. 330-346
Open Access
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