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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 1-25 of 97 citing articles:

Estimating the maize biomass by crop height and narrowband vegetation indices derived from UAV-based hyperspectral images
Yue Zhang, Chenzhen Xia, Xingyu Zhang, et al.
Ecological Indicators (2021) Vol. 129, pp. 107985-107985
Open Access | Times Cited: 124
Spatial analysis and machine learning prediction of forest fire susceptibility: a comprehensive approach for effective management and mitigation
Manoranjan Mishra, Rajkumar Guria, Biswaranjan Baraj, et al.
The Science of The Total Environment (2024) Vol. 926, pp. 171713-171713
Closed Access | Times Cited: 26
Exploring the impact of natural and human activities on vegetation changes: An integrated analysis framework based on trend analysis and machine learning
Ying Chen, Qian Zhao, Yiming Liu, et al.
Journal of Environmental Management (2025) Vol. 374, pp. 124092-124092
Closed Access | Times Cited: 2
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
Machine learning based prediction for China's municipal solid waste under the shared socioeconomic pathways
Chenyi Zhang, Huijuan Dong, Yong Geng, et al.
Journal of Environmental Management (2022) Vol. 312, pp. 114918-114918
Closed Access | Times Cited: 65
Burnt-Net: Wildfire burned area mapping with single post-fire Sentinel-2 data and deep learning morphological neural network
Seyd Teymoor Seydi, Mahdi Hasanlou, Jocelyn Chanussot
Ecological Indicators (2022) Vol. 140, pp. 108999-108999
Open Access | Times Cited: 52
Investigation of fire risk zones using heat–humidity time series data and vegetation
Javad Rabiei, M. Khademi, Sahar Bagherpour, et al.
Applied Water Science (2022) Vol. 12, Iss. 9
Open Access | Times Cited: 48
Future global concurrent droughts and their effects on maize yield
Dineshkumar Muthuvel, Bellie Sivakumar, Amai Mahesha
The Science of The Total Environment (2022) Vol. 855, pp. 158860-158860
Closed Access | Times Cited: 40
Seasonal Vegetation Trends for Europe over 30 Years from a Novel Normalised Difference Vegetation Index (NDVI) Time-Series—The TIMELINE NDVI Product
Christina Eisfelder, Sarah Asam, Andreas Hirner, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3616-3616
Open Access | Times Cited: 27
Taking Artificial Intelligence Into Space Through Objective Selection of Hyperspectral Earth Observation Applications: To bring the “brain” close to the “eyes” of satellite missions
Agata M. Wijata, M.F. Foulon, Yves Bobichon, et al.
IEEE Geoscience and Remote Sensing Magazine (2023) Vol. 11, Iss. 2, pp. 10-39
Closed Access | Times Cited: 26
Inversion of Leaf Chlorophyll Content in Different Growth Periods of Maize Based on Multi-Source Data from “Sky–Space–Ground”
Wu Nile, Rina Su, Na Mula, et al.
Remote Sensing (2025) Vol. 17, Iss. 4, pp. 572-572
Open Access | Times Cited: 1
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 | Times Cited: 1
Who are the actors and what are the factors that are used in models to map forest fire susceptibility? A systematic review
Santos D. Chicas, Jonas Østergaard Nielsen
Natural Hazards (2022) Vol. 114, Iss. 3, pp. 2417-2434
Open Access | Times Cited: 29
A Forest Fire Susceptibility Modeling Approach Based on Light Gradient Boosting Machine Algorithm
Yanyan Sun, Fuquan Zhang, Haifeng Lin, et al.
Remote Sensing (2022) Vol. 14, Iss. 17, pp. 4362-4362
Open Access | Times Cited: 29
Veg-W2TCN: A parallel hybrid forecasting framework for non-stationary time series using wavelet and temporal convolution network model
Manel Rhif, Ali Ben Abbes, Beatriz Martínez, et al.
Applied Soft Computing (2023) Vol. 137, pp. 110172-110172
Closed Access | Times Cited: 22
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: 18
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
Controls of groundwater-dependent vegetation coverage in the yellow river basin, china: Insights from interpretable machine learning
Taiya Bai, Xu‐Sheng Wang, Pengfei Han
Journal of Hydrology (2024) Vol. 631, pp. 130747-130747
Closed Access | Times Cited: 7
Wildfire Susceptibility Mapping Using Five Boosting Machine Learning Algorithms: The Case Study of the Mediterranean Region of Turkey
Sohaib K. M. Abujayyab, Moustafa Moufid Kassem, Ashfaq Ahmad Khan, et al.
Advances in Civil Engineering (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 23
Vegetation cover change in Ugam Chatkal National Park, Uzbekistan, in relation to climate variables during the post-Soviet period (1991-2022)
Bokhir Alikhanov, Bakhtiyor Pulatov, Luqmon Samiev
Forum Geografi (2024) Vol. 38, Iss. 1
Open Access | Times Cited: 6
Drought characterization across agricultural regions of China using standardized precipitation and vegetation water supply indices
Tehseen Javed, Jiahua Zhang, Nishan Bhattarai, et al.
Journal of Cleaner Production (2021) Vol. 313, pp. 127866-127866
Closed Access | Times Cited: 30
Exploring the land use and land cover change in the period 2005–2020 in the province of Errachidia, the pre-sahara of Morocco
Ahmed Karmaoui, Abdelkrim Ben Salem, Samir El Jaâfari, et al.
Frontiers in Earth Science (2022) Vol. 10
Open Access | Times Cited: 21
An Accurate Forest Fire Recognition Method Based on Improved BPNN and IoT
Shaoxiong Zheng, Peng Gao, Yufei Zhou, et al.
Remote Sensing (2023) Vol. 15, Iss. 9, pp. 2365-2365
Open Access | Times Cited: 12
Spain on fire: A novel wildfire risk assessment model based on image satellite processing and atmospheric information
Helena Liz, Javier Huertas‐Tato, Jorge Pérez‐Aracil, et al.
Knowledge-Based Systems (2023) Vol. 283, pp. 111198-111198
Open Access | Times Cited: 12
Forest Land Cover Mapping at a Regional Scale Using Multi-Temporal Sentinel-2 Imagery and RF Models
Laura Alonso, Juan Picos, Julia Armesto
Remote Sensing (2021) Vol. 13, Iss. 12, pp. 2237-2237
Open Access | Times Cited: 27
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