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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:

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

Showing 26-50 of 97 citing articles:

A Highly Accurate Forest Fire Prediction Model Based on an Improved Dynamic Convolutional Neural Network
Shaoxiong Zheng, Peng Gao, Weixing Wang, et al.
Applied Sciences (2022) Vol. 12, Iss. 13, pp. 6721-6721
Open Access | Times Cited: 18
Analysis of the 2017 Knysna fires disaster with emphasis on fire spread, home losses and the influence of vegetation and weather conditions: A South African case study
Natalia Flores Quiroz, Lesley Gibson, Stefaan Conradie, et al.
International Journal of Disaster Risk Reduction (2023) Vol. 88, pp. 103618-103618
Open Access | Times Cited: 10
Enhancing forest fire susceptibility mapping in Xichang City, China using DBSCAN-based non-fire point selection integrated with deep neural network
Lingxiao Xie, Rui Zhang, Jichao Lv, et al.
Geomatics Natural Hazards and Risk (2025) Vol. 16, Iss. 1
Open Access
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
Assessing and Forecasting Natural Regeneration in Mediterranean Landscapes After Wildfires
Paraskevi Oikonomou, Vassilia Karathanassi, Vassilis Andronis, et al.
Remote Sensing (2025) Vol. 17, Iss. 5, pp. 897-897
Open Access
Advancing Wildfire Prediction: A One-Class Machine Learning Approach
Fathima Nuzla Ismail, Brendon J. Woodford, Sherlock A. Licorish
Research Square (Research Square) (2025)
Closed Access
Atmospheric Modeling for Wildfire Prediction
Fathima Nuzla Ismail, Brendon J. Woodford, Sherlock A. Licorish
Atmosphere (2025) Vol. 16, Iss. 4, pp. 441-441
Open Access
Integrating Remote Sensing and Machine Learning for Dynamic Burn Probability Mapping in Data-limited Contexts
Diego Díaz-Vázquez, Chrisantha Fernando, Garcia- Gonzalez Alejandro, et al.
Remote Sensing Applications Society and Environment (2025), pp. 101554-101554
Open Access
A bi-objective mixed-integer linear programming model to optimize thinning schedules in wildfire-prone Pinus canariensis forests
Rafael M. Navarro‐Cerrillo, Mauricio Acuña, Antonio Jesús Ariza Salamanca, et al.
The Science of The Total Environment (2025) Vol. 980, pp. 179528-179528
Closed Access
Using Landsat satellites to assess the impact of check dams built across erosive gullies on vegetation rehabilitation
David Helman, Amir Mussery
The Science of The Total Environment (2020) Vol. 730, pp. 138873-138873
Closed Access | Times Cited: 24
A wildfire growth prediction and evaluation approach using Landsat and MODIS data
Dorijan Radočaj, Mladen Jurišić, Mateo Gašparović
Journal of Environmental Management (2021) Vol. 304, pp. 114351-114351
Closed Access | Times Cited: 23
Wildfire Prediction Model Based on Spatial and Temporal Characteristics: A Case Study of a Wildfire in Portugal’s Montesinho Natural Park
Hao Dong, Han Wu, Pengfei Sun, et al.
Sustainability (2022) Vol. 14, Iss. 16, pp. 10107-10107
Open Access | Times Cited: 15
Forest fire estimation and risk prediction using multispectral satellite images: Case study
Nazimur Rahman Talukdar, Firoz Ahmad, Laxmi Goparaju, et al.
Natural Hazards Research (2024) Vol. 4, Iss. 2, pp. 304-319
Open Access | Times Cited: 3
Forest fire susceptibility mapping based on precipitation-constrained cumulative dryness status information in Southeast China: A novel machine learning modeling approach
Longlong Zhao, Yuankai Ge, Shanxin Guo, et al.
Forest Ecology and Management (2024) Vol. 558, pp. 121771-121771
Closed Access | Times Cited: 3
AutoST-Net: A Spatiotemporal Feature-Driven Approach for Accurate Forest Fire Spread Prediction from Remote Sensing Data
Xuexue Chen, Ye Tian, Change Zheng, et al.
Forests (2024) Vol. 15, Iss. 4, pp. 705-705
Open Access | Times Cited: 3
Projecting Large Fires in the Western US With an Interpretable and Accurate Hybrid Machine Learning Method
Fa Li, Qing Zhu, Kunxiaojia Yuan, et al.
Earth s Future (2024) Vol. 12, Iss. 10
Open Access | Times Cited: 3
Effectiveness evaluation of combining SAR and multiple optical data on land cover mapping of a fragmented landscape in a cloud computing platform
Giovanni Romano, Giovanni Francesco Ricci, Francesco Gentile
Frontiers in Remote Sensing (2025) Vol. 6
Open Access
Predicting on multi-target regression for the yield of sweet potato by the market class of its roots upon vegetation indices
Danilo Tedesco, Bruno Rafael de Almeida Moreira, Marcelo Rodrigues Barbosa Júnior, et al.
Computers and Electronics in Agriculture (2021) Vol. 191, pp. 106544-106544
Closed Access | Times Cited: 20
Modelling wildfire susceptibility in Belize’s ecosystems and protected areas using machine learning and knowledge-based methods
Santos D. Chicas, Jonas Østergaard Nielsen, Miguel Valdez, et al.
Geocarto International (2022) Vol. 37, Iss. 27, pp. 15823-15846
Closed Access | Times Cited: 14
Forecasting wildfires in major forest types of India
Manish P. Kale, Asima Mishra, Satish Pardeshi, et al.
Frontiers in Forests and Global Change (2022) Vol. 5
Open Access | Times Cited: 13
Design of a Forest Fire Early Alert System through a Deep 3D-CNN Structure and a WRF-CNN Bias Correction
Alejandro Casallas, Camila Jiménez-Saenz, Victor J. Torres, et al.
Sensors (2022) Vol. 22, Iss. 22, pp. 8790-8790
Open Access | Times Cited: 13
An artificial intelligence framework for predicting fire spread sustainability in semiarid shrublands
Sadegh Khanmohammadi, Mehrdad Arashpour, Emadaldin Mohammadi Golafshani, et al.
International Journal of Wildland Fire (2023) Vol. 32, Iss. 4, pp. 636-649
Closed Access | Times Cited: 8
Wildfire likelihood in Canadian treed peatlands based on remote-sensing time-series of surface conditions
Nicolas Pelletier, Koreen Millard, S. Darling
Remote Sensing of Environment (2023) Vol. 296, pp. 113747-113747
Closed Access | Times Cited: 8
Fire regime of peatlands in the Angolan Highlands
Mauro Lourenco, Stephan Woodborne, Jennifer M. Fitchett
Environmental Monitoring and Assessment (2022) Vol. 195, Iss. 1
Open Access | Times Cited: 12
Machine learning tool-based prediction and forecasting of municipal solid waste generation rate: a case study in Guwahati, Assam, India
Thakur Monika Singh, R. Uppaluri
International Journal of Environmental Science and Technology (2022) Vol. 20, Iss. 11, pp. 12207-12230
Closed Access | Times Cited: 12

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