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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:

Forest Fire Prediction: A Spatial Machine Learning and Neural Network Approach
Sanjeev Sharma, Puskar Khanal
Fire (2024) Vol. 7, Iss. 6, pp. 205-205
Open Access | Times Cited: 9

Showing 9 citing articles:

Modeling of Forest Fire Risk Areas of Amazonas Department, Peru: Comparative Evaluation of Three Machine Learning Methods
Alex J. Vergara, Sivmny V. Valqui-Reina, Dennis Cieza-Tarrillo, et al.
Forests (2025) Vol. 16, Iss. 2, pp. 273-273
Open Access | Times Cited: 1
Assessment of forest fire vulnerability prediction in Indonesia: Seasonal variability analysis using machine learning techniques
Wulan Salle Karurung, Kangjae Lee, W. K. Lee
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 138, pp. 104435-104435
Closed Access | Times Cited: 1
Remote Sensing and GIS in Natural Resource Management: Comparing Tools and Emphasizing the Importance of In-Situ Data
Sanjeev Sharma, Justin O. Beslity, Lindsey E. Rustad, et al.
Remote Sensing (2024) Vol. 16, Iss. 22, pp. 4161-4161
Open Access | Times Cited: 6
Estimation of Fire Counts and Fire Radiative Power Using Satellite Optical and Microwave Vegetation Indices With Random Forest Method
Jiawei Duan, Jiheng Hu, Yuyun Fu, et al.
Journal of Geophysical Research Atmospheres (2025) Vol. 130, Iss. 3
Closed Access
Hierarchical Early Wireless Forest Fire Prediction System Utilizing Virtual Sensors
Ahshanul Haque, Hamdy Soliman
Electronics (2025) Vol. 14, Iss. 8, pp. 1634-1634
Open Access
Optimizing Forest Stand Aggregation in Fragmented Stands Using Graph Convolutional Networks: A Case Study in Japan
YangYu You, Hyun Bae Kim, Takuyuki Yoshioka
Smart Agricultural Technology (2025), pp. 100959-100959
Open Access
Use of Google Earth Engine in predicting future giant cane (Arundinaria gigantea (Walter) Muhl.) restoration sites
Sanjeev Sharma
Advances in Bamboo Science (2025), pp. 100164-100164
Open Access
Leveraging Disruptive Technologies for Food Security: A Systematic Review on Agricultural Supply Chain Resilience to Climate Change
Budi Harsanto, Yulistyne Kasumaningrum, Muhammad Rifqi Arviansyah, et al.
Current Research in Food Science (2025), pp. 101079-101079
Open Access
Utilizing LightGBM to Explore the Characterization of PM2.5 Emission Patterns from Broadleaf Tree Combustion in Northeastern China
Bingbing Lu, Hui Huang, Zhiyuan Wu, et al.
Forests (2025) Vol. 16, Iss. 5, pp. 836-836
Open Access
A Forest Fire Prediction Model Based on Meteorological Factors and the Multi-Model Ensemble Method
Seungcheol Choi, M. Son, Changgyun Kim, et al.
Forests (2024) Vol. 15, Iss. 11, pp. 1981-1981
Open Access | Times Cited: 1
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