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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:

Exploratory Analysis of Driving Force of Wildfires in Australia: An Application of Machine Learning within Google Earth Engine
Andrea Sulova, Jamal Jokar Arsanjani
Remote Sensing (2020) Vol. 13, Iss. 1, pp. 10-10
Open Access | Times Cited: 71

Showing 1-25 of 71 citing articles:

Impacts of climate change on the fate of contaminants through extreme weather events
Shiv Bolan, Lokesh P. Padhye, Tahereh Jasemizad, et al.
The Science of The Total Environment (2023) Vol. 909, pp. 168388-168388
Open Access | Times Cited: 153
Google Earth Engine and Artificial Intelligence (AI): A Comprehensive Review
Liping Yang, Joshua Driscol, Sarigai Sarigai, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3253-3253
Open Access | Times Cited: 150
Machine learning data-driven approaches for land use/cover mapping and trend analysis using Google Earth Engine
Bakhtiar Feizizadeh, Davoud Omarzadeh, Mohammad Kazemi Garajeh, et al.
Journal of Environmental Planning and Management (2021) Vol. 66, Iss. 3, pp. 665-697
Closed Access | Times Cited: 136
Google Earth Engine: A Global Analysis and Future Trends
Andrés Velástegui-Montoya, Néstor Montalván-Burbano, Paúl Carrión-Mero, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3675-3675
Open Access | Times Cited: 74
Detection of forest fire using deep convolutional neural networks with transfer learning approach
Hatice Çatal Reis, Veysel Turk
Applied Soft Computing (2023) Vol. 143, pp. 110362-110362
Closed Access | Times Cited: 42
Integrating geospatial, remote sensing, and machine learning for climate-induced forest fire susceptibility mapping in Similipal Tiger Reserve, India
Chiranjit Singha, Kishore Chandra Swain, Armin Moghimi, et al.
Forest Ecology and Management (2024) Vol. 555, pp. 121729-121729
Open Access | Times Cited: 24
Spatial analysis and machine learning prediction of forest fire susceptibility: a comprehensive approach for effective management and mitigation
Manoranjan Mishra, Rajkumar Guria, Biswaranjan Baraj, et al.
The Science of The Total Environment (2024) Vol. 926, pp. 171713-171713
Closed Access | Times Cited: 24
Landsat and Sentinel-2 Based Burned Area Mapping Tools in Google Earth Engine
Ekhi Roteta, Aitor Bastarrika, Magí Franquesa, et al.
Remote Sensing (2021) Vol. 13, Iss. 4, pp. 816-816
Open Access | Times Cited: 71
A Systematic Review of Applications of Machine Learning Techniques for Wildfire Management Decision Support
Karol Bot, José G. Borges
Inventions (2022) Vol. 7, Iss. 1, pp. 15-15
Open Access | Times Cited: 68
What is going on within google earth engine? A systematic review and meta-analysis
Pedro Pérez‐Cutillas, Alberto Pérez-Navarro, Carmelo Conesa García, et al.
Remote Sensing Applications Society and Environment (2022) Vol. 29, pp. 100907-100907
Open Access | Times Cited: 63
Spatial Prediction of Wildfire Susceptibility Using Hybrid Machine Learning Models Based on Support Vector Regression in Sydney, Australia
Arip Syaripudin Nur, Yong Je Kim, Joon Lee, et al.
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 760-760
Open Access | Times Cited: 29
Environmental drivers and spatial prediction of forest fires in the Western Ghats biodiversity hotspot, India: An ensemble machine learning approach
Kanda Naveen Babu, Rahul Gour, Kurian Ayushi, et al.
Forest Ecology and Management (2023) Vol. 540, pp. 121057-121057
Open Access | Times Cited: 29
Wildfire susceptibility mapping by incorporating damage proxy maps, differenced normalized burn Ratio, and deep learning algorithms based on sentinel-1/2 data: a case study on Maui Island, Hawaii
Suci Ramayanti, Bong-Chan Kim, Sungjae Park, et al.
GIScience & Remote Sensing (2024) Vol. 61, Iss. 1
Open Access | Times Cited: 8
Spatio-temporal variability of water use efficiency and its drivers in major forest formations in India
Subrata Nandy, M. Saranya, Ritika Srinet
Remote Sensing of Environment (2021) Vol. 269, pp. 112791-112791
Closed Access | Times Cited: 46
Assessing the predictive efficacy of six machine learning algorithms for the susceptibility of Indian forests to fire
Laxmi Kant Sharma, Rajit Gupta, Naureen Fatima
International Journal of Wildland Fire (2022) Vol. 31, Iss. 8, pp. 735-758
Open Access | Times Cited: 30
Artificial neural networks for assessing forest fire susceptibility in Türkiye
Omer Kantarcioglu, Sultan Kocaman, Konrad Schindler
Ecological Informatics (2023) Vol. 75, pp. 102034-102034
Closed Access | Times Cited: 20
Machine learning algorithms applied to wildfire data in California's central valley
Kassandra Hernández, Aaron B. Hoskins
Trees Forests and People (2024) Vol. 15, pp. 100516-100516
Open Access | Times Cited: 6
Classification and detection of natural disasters using machine learning and deep learning techniques: A review
Kibitok Abraham, Moataz M. Abdelwahab, Mohammed Abo‐Zahhad
Earth Science Informatics (2023) Vol. 17, Iss. 2, pp. 869-891
Closed Access | Times Cited: 15
Identifying driving hydrogeomorphic factors of coastal wetland downgrading using random forest classification models
Keqi He, Wenhong Li, Yu Zhang, et al.
The Science of The Total Environment (2023) Vol. 894, pp. 164995-164995
Closed Access | Times Cited: 14
Real-Time Wildfire Detection Algorithm Based on VIIRS Fire Product and Himawari-8 Data
Da Zhang, Chunlin Huang, Juan Gu, et al.
Remote Sensing (2023) Vol. 15, Iss. 6, pp. 1541-1541
Open Access | Times Cited: 13
Predicting forest fire vulnerability using machine learning approaches in The Mediterranean Region: a case study of Türkiye
Muhammad Purnama, I Nengah Surati Jaya, Lailan Syaufina, et al.
IOP Conference Series Earth and Environmental Science (2024) Vol. 1315, Iss. 1, pp. 012056-012056
Open Access | Times Cited: 5
Spatial modeling of snow avalanche susceptibility using hybrid and ensemble machine learning techniques
Hüseyın Akay
CATENA (2021) Vol. 206, pp. 105524-105524
Closed Access | Times Cited: 32
A comparative assessment of modeling groundwater vulnerability using DRASTIC method from GIS and a novel classification method using machine learning classifiers
Qasim Khan, Muhammad Usman Liaqat, Mohamed Mostafa Mohamed
Geocarto International (2021) Vol. 37, Iss. 20, pp. 5832-5850
Closed Access | Times Cited: 30
Creation of Wildfire Susceptibility Maps in Plumas National Forest Using InSAR Coherence, Deep Learning, and Metaheuristic Optimization Approaches
Arip Syaripudin Nur, Yong Je Kim, Chang-Wook Lee
Remote Sensing (2022) Vol. 14, Iss. 17, pp. 4416-4416
Open Access | Times Cited: 22
Fusion of Remotely-Sensed Fire-Related Indices for Wildfire Prediction through the Contribution of Artificial Intelligence
Nikolaos Ntinopoulos, Stavros Sakellariou, Olga Christopoulou, et al.
Sustainability (2023) Vol. 15, Iss. 15, pp. 11527-11527
Open Access | Times Cited: 11
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