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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:

Multi-Temporal Analysis of Forest Fire Probability Using Socio-Economic and Environmental Variables
Sea Jin Kim, Chul-Hee Lim, Gang Sun Kim, et al.
Remote Sensing (2019) Vol. 11, Iss. 1, pp. 86-86
Open Access | Times Cited: 115

Showing 1-25 of 115 citing articles:

A review of machine learning applications in wildfire science and management
Piyush Jain, Sean C. P. Coogan, Sriram Ganapathi Subramanian, et al.
Environmental Reviews (2020) Vol. 28, Iss. 4, pp. 478-505
Open Access | Times Cited: 550
Forest Fire Susceptibility Modeling Using a Convolutional Neural Network for Yunnan Province of China
Guoli Zhang, Ming Wang, Kai Liu
International Journal of Disaster Risk Science (2019) Vol. 10, Iss. 3, pp. 386-403
Open Access | Times Cited: 268
Spatial Prediction of Wildfire Susceptibility Using Field Survey GPS Data and Machine Learning Approaches
Omid Ghorbanzadeh, Khalil Valizadeh Kamran, Thomas Blaschke, et al.
Fire (2019) Vol. 2, Iss. 3, pp. 43-43
Open Access | Times Cited: 165
Forest Fire Risk Prediction: A Spatial Deep Neural Network-Based Framework
Mohsen Naderpour, Hossein Mojaddadi Rizeei, Fahimeh Ramezani
Remote Sensing (2021) Vol. 13, Iss. 13, pp. 2513-2513
Open Access | Times Cited: 105
Explainable artificial intelligence (XAI) for interpreting the contributing factors feed into the wildfire susceptibility prediction model
Abolfazl Abdollahi, Biswajeet Pradhan
The Science of The Total Environment (2023) Vol. 879, pp. 163004-163004
Open Access | Times Cited: 91
A Google Earth Engine Approach for Wildfire Susceptibility Prediction Fusion with Remote Sensing Data of Different Spatial Resolutions
Sepideh Tavakkoli Piralilou, Golzar Einali, Omid Ghorbanzadeh, et al.
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 672-672
Open Access | Times Cited: 82
Assessment of forest fire severity and land surface temperature using Google Earth Engine: a case study of Gujarat State, India
Keval H. Jodhani, H. V. Patel, Utsav Soni, et al.
Fire Ecology (2024) Vol. 20, Iss. 1
Open Access | Times Cited: 30
Spatio-temporal feature attribution of European summer wildfires with Explainable Artificial Intelligence (XAI)
Hanyu Li, Stenka Vulova, Alby Duarte Rocha, et al.
The Science of The Total Environment (2024) Vol. 916, pp. 170330-170330
Open Access | Times Cited: 24
Forest Fire Susceptibility and Risk Mapping Using Social/Infrastructural Vulnerability and Environmental Variables
Omid Ghorbanzadeh, Thomas Blaschke, Khalil Gholamnia, et al.
Fire (2019) Vol. 2, Iss. 3, pp. 50-50
Open Access | Times Cited: 146
Forecasting fire risk with machine learning and dynamic information derived from satellite vegetation index time-series
Yaron Michael, David Helman, Oren Glickman, et al.
The Science of The Total Environment (2020) Vol. 764, pp. 142844-142844
Closed Access | Times Cited: 97
A deep learning ensemble model for wildfire susceptibility mapping
Alexandra Bjånes, Rodrigo De la Fuente, Pablo Mena
Ecological Informatics (2021) Vol. 65, pp. 101397-101397
Closed Access | Times Cited: 91
Mapping forest fire susceptibility using spatially explicit ensemble models based on the locally weighted learning algorithm
Tran Thi Tuyen, Abolfazl Jaafari, Hoang Phan Hải Yen, et al.
Ecological Informatics (2021) Vol. 63, pp. 101292-101292
Closed Access | Times Cited: 90
Spatio-temporal analysis of forest fire events in the Margalla Hills, Islamabad, Pakistan using socio-economic and environmental variable data with machine learning methods
Aqil Tariq, Hong Shu, Saima Siddiqui, et al.
Journal of Forestry Research (2021) Vol. 33, Iss. 1, pp. 183-194
Closed Access | Times Cited: 86
Machine-learning modelling of fire susceptibility in a forest-agriculture mosaic landscape of southern India
A.L. Achu, Jobin Thomas, C. D. Aju, et al.
Ecological Informatics (2021) Vol. 64, pp. 101348-101348
Closed Access | Times Cited: 85
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: 69
Forest fire pattern and vulnerability mapping using deep learning in Nepal
Bhogendra Mishra, Saroj Panthi, Shobha Poudel, et al.
Fire Ecology (2023) Vol. 19, Iss. 1
Open Access | Times Cited: 40
“Forest fire emissions: A contribution to global climate change”
Swati Singh
Frontiers in Forests and Global Change (2022) Vol. 5
Open Access | Times Cited: 39
Optimal Allocation of Water Reservoirs for Sustainable Wildfire Prevention Planning via AHP-TOPSIS and Forest Road Network Analysis
Garyfallos Arabatzis, Georgios Kolkos, Anastasia Stergiadou, et al.
Sustainability (2024) Vol. 16, Iss. 2, pp. 936-936
Open Access | Times Cited: 9
Forest fire mapping: a comparison between GIS-based random forest and Bayesian models
Farzaneh Noroozi, Gholamabbas Ghanbarian, Roja Safaeian, et al.
Natural Hazards (2024) Vol. 120, Iss. 7, pp. 6569-6592
Open Access | Times Cited: 9
Assessing forest fire likelihood and identification of fire risk zones using maximum entropy-based model in Khyber Pakhtunkhwa, Pakistan
Rida Naseer, Muhammad Nawaz Chaudhry
Environmental Monitoring and Assessment (2025) Vol. 197, Iss. 3
Closed Access | Times Cited: 2
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
A Review on Current Modelling Techniques for Predicting Forest Fires
Piyush Pandey, Avinash Pratap Gupta
Advances in geographical and environmental sciences (2025), pp. 269-304
Closed Access | Times Cited: 1
Mapping Forest Fire Risk—A Case Study in Galicia (Spain)
A. Novo, Noelia Fariñas-Álvarez, J. Martínez-Sánchez, et al.
Remote Sensing (2020) Vol. 12, Iss. 22, pp. 3705-3705
Open Access | Times Cited: 68
Human Activity Affects Forest Fires: The Impact of Anthropogenic Factors on the Density of Forest Fires in Poland
Aleksandra Kolanek, Mariusz Szymanowski, Andrzej Raczyk
Forests (2021) Vol. 12, Iss. 6, pp. 728-728
Open Access | Times Cited: 47
Wildfire Risk Assessment and Zoning by Integrating Maxent and GIS in Hunan Province, China
Xuhong Yang, Xiaobin Jin, Yinkang Zhou
Forests (2021) Vol. 12, Iss. 10, pp. 1299-1299
Open Access | Times Cited: 46
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