Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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

Showing 23 citing articles:

Deep artificial intelligence applications for natural disaster management systems: A methodological review
Akhyar Akhyar, Mohd Asyraf Zulkifley, Jaesung Lee, et al.
Ecological Indicators (2024) Vol. 163, pp. 112067-112067
Open Access | Times Cited: 19
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
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: 9
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
Research on Image Classification and Retrieval Using Deep Learning with Attention Mechanism on Diaspora Chinese Architectural Heritage in Jiangmen, China
Le Gao, Yanqing Wu, Tian Yang, et al.
Buildings (2023) Vol. 13, Iss. 2, pp. 275-275
Open Access | Times Cited: 16
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
Efficient Classification of Imbalanced Natural Disasters Data Using Generative Adversarial Networks for Data Augmentation
Rokaya Eltehewy, Ahmed Abouelfarag, Sherine Nagy Saleh
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 6, pp. 245-245
Open Access | Times Cited: 13
Application of UAV remote sensing in natural disaster monitoring and early warning: an example of flood and mudslide and earthquake disasters
Zhonghan Chen
Highlights in Science Engineering and Technology (2024) Vol. 85, pp. 924-933
Open Access | Times Cited: 4
A Damage Assessment Method for Masonry Structures Based on Multi Scale Channel Shuffle Dilated Convolution and ReZero-Transformer
Zhongliang Zou, Shuzhen Yang, Man‐Sheng Wang, et al.
Journal of Building Engineering (2025), pp. 112002-112002
Closed Access
Application and comparison of remote sensing techniques for data-driven disaster debris quantification
Jasmine H. Bekkaye, Navid H. Jafari
International Journal of Remote Sensing (2024) Vol. 45, Iss. 8, pp. 2808-2831
Closed Access | Times Cited: 2
MFEMANet: an effective disaster image classification approach for practical risk assessment
Payal Bhadra, Avijit Balabantaray, Ajit Kumar Pasayat
Machine Vision and Applications (2023) Vol. 34, Iss. 5
Closed Access | Times Cited: 5
Cross-Scale-Guided Fusion Transformer for Disaster Assessment Using Satellite Imagery
Weiwei Xiao, Jingyong Su, Yongyong Chen, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-12
Closed Access | Times Cited: 4
Siamese Transformer-Based Building Change Detection in Remote Sensing Images
Jiawei Xiong, Feng Liu, Xingyuan Wang, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1268-1268
Open Access | Times Cited: 1
BDHE-Net: A Novel Building Damage Heterogeneity Enhancement Network for Accurate and Efficient Post-Earthquake Assessment Using Aerial and Remote Sensing Data
Jun Liu, Yigang Luo, Sha Chen, et al.
Applied Sciences (2024) Vol. 14, Iss. 10, pp. 3964-3964
Open Access | Times Cited: 1
Post-disaster damage and loss assessment in the Iranian healthcare sector: a qualitative interview study
Javad Miri, Golrokh Atighechian, Hesam Seyedin, et al.
BMC Public Health (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Deep Learning Models for Hazard-Damaged Building Detection Using Remote Sensing Datasets: A Comprehensive Review
Lili Wang, Jidong Wu, Youtian Yang, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 15301-15318
Open Access
Multibranch Network for Addressing Intraclass Variation in Remote Sensing Building Detection
Ryuhei Hamaguchi
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 16710-16726
Open Access
Evaluating fine tuned deep learning models for real-time earthquake damage assessment with drone-based images
Furkan Kızılay, Mina R. Narman, Hwapyeong Song, et al.
AI in Civil Engineering (2024) Vol. 3, Iss. 1
Open Access
Remote Sensing for Disaster Risk Management—Advances and Limitations
N. Kerle, Marc van den Homberg
Elsevier eBooks (2024)
Closed Access
High-Quality Damaged Building Instance Segmentation Based on Improved Mask Transfiner Using Post-Earthquake UAS Imagery: A Case Study of the Luding Ms 6.8 Earthquake in China
Kangsan Yu, Shumin Wang, Yitong Wang, et al.
Remote Sensing (2024) Vol. 16, Iss. 22, pp. 4222-4222
Open Access
Fusion of vertical and oblique images using Intra-Cluster-Classification for building damage assessment
Mohammad Kakooei, Yasser Baleghi
Computers & Electrical Engineering (2022) Vol. 105, pp. 108536-108536
Closed Access | Times Cited: 1
Automatic Calibration between Multi-Lines LiDAR and Visible Light Camera Based on Edge Refinement and Virtual Mask Matching
Chengkai Chen, Jinhui Lan, Haoting Liu, et al.
Remote Sensing (2022) Vol. 14, Iss. 24, pp. 6385-6385
Open Access | Times Cited: 1
Portable Automatic System for Locating Victims of Plane Crashes
Călin Ciufudean, Corneliu Buzduga
(2023), pp. 60-65
Closed Access
Page 1

Scroll to top