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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 susceptibility assessment using google earth engine in Gangwon-do, Republic of Korea
Yong Piao, Dong Kun Lee, Sang-Jin Park, et al.
Geomatics Natural Hazards and Risk (2022) Vol. 13, Iss. 1, pp. 432-450
Open Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Landslide susceptibility mapping in Three Gorges Reservoir area based on GIS and boosting decision tree model
Fasheng Miao, Fancheng Zhao, Yiping Wu, et al.
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 6, pp. 2283-2303
Open Access | Times Cited: 54
Machine learning based forest fire susceptibility assessment of Manavgat district (Antalya), Turkey
Hazan Alkan Akıncı, Halil Akıncı
Earth Science Informatics (2023) Vol. 16, Iss. 1, pp. 397-414
Closed Access | Times Cited: 53
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: 27
Artificial Intelligence in Environmental Monitoring: Advancements, Challenges, and Future Directions
David B. Olawade, Ojima Z. Wada, Abimbola O. Ige, et al.
Hygiene and Environmental Health Advances (2024), pp. 100114-100114
Open Access | Times Cited: 27
Forest fire probability zonation using dNBR and machine learning models: a case study at the Similipal Biosphere Reserve (SBR), Odisha, India
Rajkumar Guria, Manoranjan Mishra, Samiksha Mohanta, et al.
Environmental Science and Pollution Research (2025)
Closed Access | Times Cited: 2
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: 64
Estimation of above ground biomass in tropical heterogeneous forests in India using GEDI
Indu Indirabai, Mats Nilsson
Ecological Informatics (2024) Vol. 82, pp. 102712-102712
Open Access | Times Cited: 12
Comparison of diverse machine learning algorithms for forest fire susceptibility mapping in Antalya, Türkiye
Hazan Alkan Akıncı, Halil Akıncı, Mustafa Zeybek
Advances in Space Research (2024) Vol. 74, Iss. 2, pp. 647-667
Closed Access | Times Cited: 10
Determining the suitable settlement areas in Alanya with GIS-based site selection analyses
Sedat Doğan, Cem Kılıçoğlu, Halil Akıncı, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 11, pp. 29180-29189
Closed Access | Times Cited: 33
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: 22
Suitable site selection for the development of solar based smart hydrogen energy plant in the Gangwon-do region, South Korea using big data: A geospatial approach
Sang‐Guk Yum, Manik Das Adhikari
International Journal of Hydrogen Energy (2023) Vol. 48, Iss. 93, pp. 36295-36313
Closed Access | Times Cited: 19
Creation of wildfire susceptibility maps in the Mediterranean Region (Turkey) using convolutional neural networks and multilayer perceptron techniques
Mehmet İsmail Gürsoy, Osman Orhan, Senem Tekin
Forest Ecology and Management (2023) Vol. 538, pp. 121006-121006
Closed Access | Times Cited: 18
Predictive model of spatial scale of forest fire driving factors: a case study of Yunnan Province, China
Wenhui Li, Quanli Xu, Junhua Yi, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 28
Multi-hazard mapping of droughts and forest fires using a multi-layer hazards approach with machine learning algorithms
Yong Piao, Dong Kun Lee, Sang-Jin Park, et al.
Geomatics Natural Hazards and Risk (2022) Vol. 13, Iss. 1, pp. 2649-2673
Open Access | Times Cited: 23
Remote Sensing Applications for Mapping Large Wildfires Based on Machine Learning and Time Series in Northwestern Portugal
Sarah Moura Batista dos Santos, Soltan Galano Duverger, António Bento‐Gonçalves, et al.
Fire (2023) Vol. 6, Iss. 2, pp. 43-43
Open Access | Times Cited: 15
Application of Remote Sensing Technology in Wildfire Research: Bibliometric Perspective
Xiaolian Li, Jie Li, Milad Haghani
Fire Technology (2024) Vol. 60, Iss. 1, pp. 579-616
Closed Access | Times Cited: 4
Assessing Hyrcanian forest fire vulnerability: socioeconomic and environmental perspectives
Elnaz Nejatiyanpour, Omid Ghorbanzadeh, Josef Strobl, et al.
Journal of Forestry Research (2025) Vol. 36, Iss. 1
Open Access
Predictive modeling of climate change impacts using Artificial Intelligence: a review for equitable governance and sustainable outcome
Kingsley Ukoba, Oluwatayo Racheal Onisuru, Tien‐Chien Jen, et al.
Environmental Science and Pollution Research (2025)
Open Access
Beyond sRGB: Optimizing Object Detection with Diverse Color Spaces for Precise Wildfire Risk Assessment
Zhiyuan Yang, Shuo Cao, Michał Aibin
Remote Sensing (2025) Vol. 17, Iss. 9, pp. 1503-1503
Open Access
Study on the temporal pattern and county-scale comprehensive risk assessment of wildfires in Sichuan Province
Weiting Yue, Yunji Gao, Yao Xiao, et al.
Research Square (Research Square) (2025)
Closed Access
Evaluation of Land Suitability for Olive (Olea europaea L.) Cultivation Using the Random Forest Algorithm
Ayşe Yavuz Özalp, Halil Akıncı
Agriculture (2023) Vol. 13, Iss. 6, pp. 1208-1208
Open Access | Times Cited: 9
Enhancing predictive ability of optimized group method of data handling (GMDH) method for wildfire susceptibility mapping
Trang Thi Kieu Tran, Sayed M. Bateni, Fatemeh Rezaie, et al.
Agricultural and Forest Meteorology (2023) Vol. 339, pp. 109587-109587
Closed Access | Times Cited: 9
Multi-hazard exposure mapping under climate crisis using random forest algorithm for the Kalimantan Islands, Indonesia
Sujung Heo, Sang-Jin Park, Dong Kun Lee
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 9
FIREMAP: Cloud-based software to automate the estimation of wildfire-induced ecological impacts and recovery processes using remote sensing techniques
José Manuel Fernández‐Guisuraga, Alfonso Fernández–Manso, Carmen Quintano, et al.
Ecological Informatics (2024) Vol. 81, pp. 102591-102591
Open Access | Times Cited: 3
Integrating ensemble machine learning and explainable AI for enhanced forest fire susceptibility analysis and risk assessment in Türkiye’s Mediterranean region
Hasan Tonbul
Earth Science Informatics (2024)
Closed Access | Times Cited: 3
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