Open Access Helper

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:

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: 13

Showing 13 citing articles:

A Comprehensive Review of Deep Learning: Architectures, Recent Advances, and Applications
Ibomoiye Domor Mienye, Theo G. Swart
Information (2024) Vol. 15, Iss. 12, pp. 755-755
Open Access | Times Cited: 5
Artificial Intelligence in Disaster Management
Silvio Andrae
Advances in environmental engineering and green technologies book series (2025), pp. 73-114
Closed Access
Leveraging Attention Mechanisms to Enhance Resnet50 for Satellite Image Classification
Ednagea Almira, J Kusuma, Salma Salsabila
(2025)
Closed Access
Advancing AI-Driven Geospatial Analysis and Data Generation: Methods, Applications and Future Directions
Hartwig H. Hochmair, Levente Juhász, Hao Li
ISPRS International Journal of Geo-Information (2025) Vol. 14, Iss. 2, pp. 56-56
Open Access
Utility of Earth Observation data in mapping post-disaster impact: A case of Hurricane Dorian in The Bahamas
Mohammed S. Ozigis, Oluropo Ogundipe, Samuel Valman, et al.
Remote Sensing Applications Society and Environment (2025), pp. 101466-101466
Open Access
Disaster Management Systems: Utilizing YOLOv9 for Precise Monitoring of River Flood Flow Levels Using Video Surveillance
G. Shankar, M. Kalaiselvi Geetha, P. Ezhumalai
SN Computer Science (2025) Vol. 6, Iss. 3
Closed Access
Real-Time Active Fire Detection in the Pantanal Biome, Brazil, Using Convolutional Neural Networks
Daniel Cabral da Costa, Leonardo Vidal Batista, Richarde Marques da Silva, et al.
Fire Technology (2025)
Closed Access
Synergy between Artificial Intelligence and Hyperspectral Imagining—A Review
Svetlana N. Khonina, Nikolay L. Kazanskiy, Ivan Oseledets, et al.
Technologies (2024) Vol. 12, Iss. 9, pp. 163-163
Open Access | Times Cited: 4
The role of artificial intelligence (AI) and Chatgpt in water resources, including its potential benefits and associated challenges
Saif Haider, Muhammad Rashid, Muhammad Atiq Ur Rehman Tariq, et al.
Discover Water (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 1
CTDUNet: A Multimodal CNN–Transformer Dual U-Shaped Network with Coordinate Space Attention for Camellia oleifera Pests and Diseases Segmentation in Complex Environments
Ruitian Guo, R. Y. Zhang, Hao Zhou, et al.
Plants (2024) Vol. 13, Iss. 16, pp. 2274-2274
Open Access | Times Cited: 1
Identification of Saline Soybean Varieties Based On Trinocular Vision Fusion and Deep Learning
Hang Liu, Qiong Wu, Guangxia Wu, et al.
Deleted Journal (2024)
Closed Access
Effectiveness of Generative AI for Post-Earthquake Damage Assessment
João M.C. Estêvão
Buildings (2024) Vol. 14, Iss. 10, pp. 3255-3255
Open Access
Integrating social media and deep learning for real-time urban waterlogging monitoring
Muhammad Waseem Boota, Shan‐e‐hyder Soomro, Muhammad Ozair Ahmad, et al.
Journal of Hydrology Regional Studies (2024) Vol. 56, pp. 102070-102070
Open Access
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