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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:

An integrated approach of artificial intelligence and geoinformation techniques applied to forest fire risk modeling in Gachsaran, Iran
Bakhtiar Feizizadeh, Davoud Omarzadeh, Vahid Mohammadnejad, et al.
Journal of Environmental Planning and Management (2022) Vol. 66, Iss. 6, pp. 1369-1391
Closed Access | Times Cited: 16

Showing 16 citing articles:

Multi-hazard susceptibility mapping based on Convolutional Neural Networks
Kashif Ullah, Yi Wang, Zhice Fang, et al.
Geoscience Frontiers (2022) Vol. 13, Iss. 5, pp. 101425-101425
Open Access | Times Cited: 78
A Hybrid Multi-Hazard Susceptibility Assessment Model for a Basin in Elazig Province, Türkiye
Gizem Karakaş, Sultan Kocaman, Candan Gökçeoğlu
International Journal of Disaster Risk Science (2023) Vol. 14, Iss. 2, pp. 326-341
Open Access | Times Cited: 21
A Forest Fire Recognition Method Based on Modified Deep CNN Model
Shaoxiong Zheng, Xiangjun Zou, Peng Gao, et al.
Forests (2024) Vol. 15, Iss. 1, pp. 111-111
Open Access | Times Cited: 7
Artificial Intelligence Models to Prevent Forest Fires
Wasswa Shafik
Advances in computational intelligence and robotics book series (2024), pp. 78-106
Closed Access | Times Cited: 5
Assessing Wildfire Susceptibility in Iran: Leveraging Machine Learning for Geospatial Analysis of Climatic and Anthropogenic Factors
Ehsan Masoudian, Ali Mirzaei, Hossein Bagheri
Trees Forests and People (2025), pp. 100774-100774
Open Access
Study on Small-Scale Forest Fire Risk Zoning Based on Random Forest and the Fuzzy Analytic Network Process
Dai Chen, Aicong Zeng, Yan He, et al.
Forests (2025) Vol. 16, Iss. 1, pp. 97-97
Open Access
An integrated hybrid deep learning data driven approaches for spatiotemporal mapping of land susceptibility to salt/dust emissions
Bakhtiar Feizizadeh, Peyman Yariyan, Murat Yakar, et al.
Advances in Space Research (2025)
Closed Access
Modelling bushfire severity and predicting future trends in Australia using remote sensing and machine learning
Shouthiri Partheepan, Farzad Sanati, Jahan Hassan
Environmental Modelling & Software (2025), pp. 106377-106377
Open Access
Estimating the risk of wildfires in the municipality of Rio Verde, Goiás State, Central Brazil
Lucas Soares da Silva Aires, Lucas Peres Angelini, Victor Hugo de Morais Danelichen
Revista Brasileira de Ciências Ambientais (2025) Vol. 60
Open Access
Landslide Susceptibility Mapping in Complex Topo‐Climatic Himalayan Terrain, India Using Machine Learning Models: A Comparative Study of XGBoost, RF and ANN
Shubham Badola, Manish Pandey, Varun Narayan Mishra, et al.
Geological Journal (2025)
Closed Access
Wildfire Susceptibility Mapping Using Deep Learning Algorithms in Two Satellite Imagery Dataset
Nazanin Bahadori, Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, et al.
Forests (2023) Vol. 14, Iss. 7, pp. 1325-1325
Open Access | Times Cited: 9
Multi-Criteria Decision Making in Chemical and Process Engineering: Methods, Progress, and Potential
Zhiyuan Wang, Seyed Reza Nabavi, Gade Pandu Rangaiah
Processes (2024) Vol. 12, Iss. 11, pp. 2532-2532
Open Access | Times Cited: 2
Geoinformatics and Machine Learning for Comprehensive Fire Risk Assessment and Management in Peri-Urban Environments: A Building-Block-Level Approach
Anastasia Yfantidou, Melpomeni Zoka, Nikolaos Stathopoulos, et al.
Applied Sciences (2023) Vol. 13, Iss. 18, pp. 10261-10261
Open Access | Times Cited: 3
A comprehensive taxonomy for forest fire risk assessment: bridging methodological gaps and proposing future directions
Zühal Özcan, İnci Çağlayan, Özgür Kabak
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 9
Closed Access
Modelling Bushfire Severity and Predicting Future Trends in Australia Using Remote Sensing and Machine Learning
Shouthiri Partheepan, Farzad Sanati, Jahan Hassan
(2024)
Closed Access
A novel optimized spectral-based data driven approach for ecoregion burned scar detection
Sajjad Moshiri, Nader Habibzadeh, Khalil Valizadeh Kamran, et al.
International Journal of Remote Sensing (2024), pp. 1-22
Closed Access
A GIS Plugin for Susceptibility Modeling: Case Study of Wildfires in Vila Nova de Foz Côa
André Padrão, Lia Duarte, Ana Cláudia Teodoro
Land (2022) Vol. 11, Iss. 7, pp. 1093-1093
Open Access | Times Cited: 2
Forest Fire Prediction and Early Warning Assisted by Intelligent Systems
Deqing Ding, Jinxin Bao
(2023), pp. 362-367
Closed Access
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