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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:

Forest fire fuel through the lens of remote sensing: Review of approaches, challenges and future directions in the remote sensing of biotic determinants of fire behaviour
Matthew G. Gale, Geoffrey J. Cary, Albert I. J. M. van Dijk, et al.
Remote Sensing of Environment (2021) Vol. 255, pp. 112282-112282
Closed Access | Times Cited: 127

Showing 1-25 of 127 citing articles:

Influences of wildfire on the forest ecosystem and climate change: A comprehensive study
Kandasamy Gajendiran, Sabariswaran Kandasamy, Mathiyazhagan Narayanan
Environmental Research (2023) Vol. 240, pp. 117537-117537
Closed Access | Times Cited: 57
Detection of forest fire using deep convolutional neural networks with transfer learning approach
Hatice Çatal Reis, Veysel Turk
Applied Soft Computing (2023) Vol. 143, pp. 110362-110362
Closed Access | Times Cited: 45
Mapping forest canopy fuel parameters at European scale using spaceborne LiDAR and satellite data
Elena Aragoneses, Mariano Garcı́a, Paloma Ruiz‐Benito, et al.
Remote Sensing of Environment (2024) Vol. 303, pp. 114005-114005
Open Access | Times Cited: 22
Tamm Review: Postfire landscape management in frequent-fire conifer forests of the southwestern United States
Jens T. Stevens, Collin Haffey, Jonathan D. Coop, et al.
Forest Ecology and Management (2021) Vol. 502, pp. 119678-119678
Open Access | Times Cited: 62
Extraction of Olive Crown Based on UAV Visible Images and the U2-Net Deep Learning Model
Zhangxi Ye, Jiahao Wei, Yuwei Lin, et al.
Remote Sensing (2022) Vol. 14, Iss. 6, pp. 1523-1523
Open Access | Times Cited: 43
Integrating plant physiology into simulation of fire behavior and effects
L. Turin Dickman, Alexandra Jonko, Rodman Linn, et al.
New Phytologist (2023) Vol. 238, Iss. 3, pp. 952-970
Open Access | Times Cited: 32
Integrated wildfire danger models and factors: A review
Ioannis Zacharakis, Vassiliοs A. Tsihrintzis
The Science of The Total Environment (2023) Vol. 899, pp. 165704-165704
Closed Access | Times Cited: 26
AttentionFire_v1.0: interpretable machine learning fire model for burned-area predictions over tropics
Fa Li, Qing Zhu, W. J. Riley, et al.
Geoscientific model development (2023) Vol. 16, Iss. 3, pp. 869-884
Open Access | Times Cited: 24
Forestry Resource Efficiency, Total Factor Productivity Change, and Regional Technological Heterogeneity in China
Wasi Ul Hassan Shah, Gang Hao, Hong Yan, et al.
Forests (2024) Vol. 15, Iss. 1, pp. 152-152
Open Access | Times Cited: 16
Evaluating the performance of key ERA‐Interim, ERA5 and ERA5‐Land climate variables across Siberia
A Clelland, Gareth J. Marshall, Robert Baxter
International Journal of Climatology (2024) Vol. 44, Iss. 7, pp. 2318-2342
Open Access | Times Cited: 11
A multi-sensor approach allows confident mapping of forest canopy fuel load and canopy bulk density to assess wildfire risk at the European scale
Elena Aragoneses, Mariano Garcı́a, Hao Tang, et al.
Remote Sensing of Environment (2025) Vol. 318, pp. 114578-114578
Open Access | Times Cited: 1
Wildfire fuels mapping through artificial intelligence-based methods: A review
Riyaaz Uddien Shaik, Mohamad Alipour, Kasra Shamsaei, et al.
Earth-Science Reviews (2025), pp. 105064-105064
Closed Access | Times Cited: 1
Generation and Mapping of Fuel Types for Fire Risk Assessment
Elena Aragoneses, Emilio Chuvieco
Fire (2021) Vol. 4, Iss. 3, pp. 59-59
Open Access | Times Cited: 54
Using soil moisture information to better understand and predict wildfire danger: a review of recent developments and outstanding questions
Erik S. Krueger, Matthew R. Levi, Kevin O. Achieng, et al.
International Journal of Wildland Fire (2022) Vol. 32, Iss. 2, pp. 111-132
Open Access | Times Cited: 37
The Widespread Use of Remote Sensing in Asbestos, Vegetation, Oil and Gas, and Geology Applications
Leydy K. Torres Gil, David Valdelamar Martínez, Manuel Saba
Atmosphere (2023) Vol. 14, Iss. 1, pp. 172-172
Open Access | Times Cited: 23
Forest fuel type classification: Review of remote sensing techniques, constraints and future trends
Abolfazl Abdollahi, Marta Yebra
Journal of Environmental Management (2023) Vol. 342, pp. 118315-118315
Open Access | Times Cited: 22
Machine learning assisted remote forestry health assessment: a comprehensive state of the art review
Juan Sebastián Estrada, Andrés Fuentes, Pedro Reszka, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 20
Terrestrial laser scanning: a new standard of forest measuring and modelling?
Markku Åkerblom, Pekka Kaitaniemi
Annals of Botany (2021) Vol. 128, Iss. 6, pp. 653-662
Open Access | Times Cited: 38
Towards a whole‐system framework for wildfire monitoring using Earth observations
Morgan A. Crowley, Christopher A. Stockdale, Joshua M. Johnston, et al.
Global Change Biology (2022) Vol. 29, Iss. 6, pp. 1423-1436
Open Access | Times Cited: 25
Harnessing Geospatial Tools to Map the Forest Fire: Risk Zonation in Pauri Garhwal, Uttarakhand
Oishi Bhattacharya, Suman Sinha, Varun Narayan Mishra, et al.
Results in Engineering (2024), pp. 103694-103694
Open Access | Times Cited: 6
Application of Landsat ETM+ and OLI Data for Foliage Fuel Load Monitoring Using Radiative Transfer Model and Machine Learning Method
Xingwen Quan, Yanxi Li, Binbin He, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 14, pp. 5100-5110
Open Access | Times Cited: 32
Estimating Stand and Fire-Related Surface and Canopy Fuel Variables in Pine Stands Using Low-Density Airborne and Single-Scan Terrestrial Laser Scanning Data
Cecilia Alonso-Rego, Stéfano Arellano-Pérez, Juan Guerra-Hernández, et al.
Remote Sensing (2021) Vol. 13, Iss. 24, pp. 5170-5170
Open Access | Times Cited: 29
Comparing Remote Sensing and Field-Based Approaches to Estimate Ladder Fuels and Predict Wildfire Burn Severity
Brieanne Forbes, Sean Reilly, Matthew L. Clark, et al.
Frontiers in Forests and Global Change (2022) Vol. 5
Open Access | Times Cited: 20
Quantifying surface fuels for fire modelling in temperate forests using airborne lidar and Sentinel-2: potential and limitations
Pia Labenski, Michael J. Ewald, Sebastian Schmidtlein, et al.
Remote Sensing of Environment (2023) Vol. 295, pp. 113711-113711
Closed Access | Times Cited: 13
Refined fire detection and band selection method in hyperspectral remote sensing imagery based on sparse-VIT
Lifeng Yang, Yanqing Feng, Yueming Wang, et al.
Infrared Physics & Technology (2024) Vol. 137, pp. 105104-105104
Open Access | Times Cited: 4
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