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:

USING MACHINE LEARNING COUPLED WITH REMOTE SENSING FOR FOREST FIRE SUSCEPTIBILITY MAPPING. CASE STUDY TETOUAN PROVINCE, NORTHERN MOROCCO
M. Seddouki, Mohamed Benayad, Zoya Aamir, et al.
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2023) Vol. XLVIII-4/W6-2022, pp. 333-342
Open Access | Times Cited: 15

Showing 15 citing articles:

A Forest Fire Prediction Model Based on Cellular Automata and Machine Learning
Xuan Sun, Ning Li, Duoqi Chen, et al.
IEEE Access (2024) Vol. 12, pp. 55389-55403
Open Access | Times Cited: 6

PREDICTION OF FOREST FIRE SUSCEPTIBILITY USING MACHINE LEARNING TOOLS IN THE TRIUNFO DO XINGU ENVIRONMENTAL PROTECTION AREA, AMAZON, BRAZIL
Kemuel Maciel Freitas, Ronie Silva Juvanhol, Christiano Jorge Gomes Pinheiro, et al.
Journal of South American Earth Sciences (2025), pp. 105366-105366
Closed Access

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

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

Improving the prediction of wildfire susceptibility on Hawaiʻi Island, Hawaiʻi, using explainable hybrid machine learning models
Trang Thi Kieu Tran, Saeid Janizadeh, Sayed M. Bateni, et al.
Journal of Environmental Management (2023) Vol. 351, pp. 119724-119724
Closed Access | Times Cited: 14

Fire Risk Mapping Using Machine Learning Method and Remote Sensing in the Mediterranean Region
Fatih Sivrikaya, Döndü Demirel
Advances in Space Research (2025)
Closed Access

Evaluating Multi-Criteria Decision-Making Methods for Sustainable Management of Forest Ecosystems: A Systematic Review
Cokou Patrice Kpadé, Lota D. Tamini, Steeve Pépin, et al.
Forests (2024) Vol. 15, Iss. 10, pp. 1728-1728
Open Access | Times Cited: 2

Ormancılıkta makine öğrenmesi kullanımı
Remzi Eker, Kamber Can Alkiş, Zennure Uçar, et al.
Turkish Journal of Forestry | Türkiye Ormancılık Dergisi (2023), pp. 150-177
Open Access | Times Cited: 6

Integrating Long term Satellite Data and Machine Learning to Spatiotemporal Fire Analysis in Hour al Azim International Wetland
Seyed Fazel Hashemi, Hossein Mohammad Asgari
Water Air & Soil Pollution (2024) Vol. 235, Iss. 7
Closed Access | Times Cited: 1

Optimum MPPT Technique for Reconfiguring the Photovoltaic Array Under Partial Shading Failure
Hicham Oufettoul, Saad Motahhir, Ibtihal Ait Abdelmoula, et al.
(2023)
Open Access | Times Cited: 3

A Geospatial Approach to Wildfire Risk Modeling Using Machine Learning and Remote Sensing Data
Riya Gupta, Hudson Kim
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 13570-13576
Open Access

Temperature Forecasting in Morocco Using Machine Learning: Optimization for Solar Energy Applications
Mohamed Benayad, Abdelilah Rochd, Nouriddine Houran, et al.
Lecture notes in networks and systems (2024), pp. 369-383
Closed Access

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