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:

Improving wildland fire spread prediction using deep U-Nets
Fadoua Khennou, Moulay A. Akhloufi
Science of Remote Sensing (2023) Vol. 8, pp. 100101-100101
Open Access | Times Cited: 10

Showing 10 citing articles:

Review of Modern Forest Fire Detection Techniques: Innovations in Image Processing and Deep Learning
Berk Özel, Muhammad Shahab Alam, Muhammad Umer Khan
Information (2024) Vol. 15, Iss. 9, pp. 538-538
Open Access | Times Cited: 5
A COMPARATIVE STUDY OF DOUBLE-STEP DEEP LEARNING FRAMEWORK FOR BURNED AREA IDENTIFICATION AND SEVERITY ASSESSMENT IN WILDFIRES
Murat Mert Yurdakul, Bülent Bayram, Tolga Bakırman, et al.
Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi (2025) Vol. 28, Iss. 1, pp. 513-523
Open Access
Assessing Pan-Canada wildfire susceptibility by integrating satellite data with novel hybrid deep learning and black widow optimizer algorithms
Khabat Khosravi, Ashkan Mosallanejad, Sayed M. Bateni, et al.
The Science of The Total Environment (2025) Vol. 977, pp. 179369-179369
Open Access
A Deep Learning Framework: Predicting Fire Radiative Power From the Combination of Polar-Orbiting and Geostationary Satellite Data During Wildfire Spread
Zixun Dong, Change Zheng, Fengjun Zhao, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 10827-10841
Open Access | Times Cited: 3
Incorporating fire spread simulation and machine learning algorithms to estimate crown fire potential for pine forests in Sichuan, China
Rui Chen, Binbin He, Yanxi Li, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 132, pp. 104080-104080
Open Access | Times Cited: 2
Trends and applications in wildfire burned area mapping: Remote sensing data, cloud geoprocessing platforms, and emerging algorithms
Daniel Martin Nelson, Yuhong He, G. W. K. Moore
GEOMATICA (2024) Vol. 76, Iss. 1, pp. 100008-100008
Open Access | Times Cited: 2
Assessing the Effect of Community Preparedness on Property Damage Costs during Wildfires: A Case Study of Greece
Stavros Kalogiannidis, Dimitrios Kalfas, Theoxaris Zagkas, et al.
Fire (2024) Vol. 7, Iss. 8, pp. 279-279
Open Access | Times Cited: 1
Fire spread prediction model based on multi-scale convolutional neural network
Shuwen Liu, Lin Cao, Chuanying Lin, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
Machine Learning and Deep Learning for Wildfire Spread Prediction: A Review
Henintsoa S. Andrianarivony, Moulay A. Akhloufi
Fire (2024) Vol. 7, Iss. 12, pp. 482-482
Open Access | Times Cited: 1
Deep Learning Approaches for Forest Fires Detection and Prediction using satellite Images
Mounia Aarich, Awatif Rouijel, Aouatif Amine
Procedia Computer Science (2024) Vol. 251, pp. 758-763
Open Access
Page 1

Scroll to top