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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:

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

Showing 1-25 of 32 citing articles:

Global fuel moisture content mapping from MODIS
Xingwen Quan, Marta Yebra, David Riaño, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 101, pp. 102354-102354
Open Access | Times Cited: 64
Estimation of potential wildfire behavior characteristics to assess wildfire danger in southwest China using deep learning schemes
Rui Chen, Binbin He, Yanxi Li, et al.
Journal of Environmental Management (2024) Vol. 351, pp. 120005-120005
Closed Access | Times Cited: 9
Sub-daily live fuel moisture content estimation from Himawari-8 data
Xingwen Quan, Rui Chen, Marta Yebra, et al.
Remote Sensing of Environment (2024) Vol. 308, pp. 114170-114170
Closed Access | Times Cited: 5
Assessing the Effects of Fuel Moisture Content on the 2018 Megafires in California
Zhenyu Kang, Xingwen Quan, Gengke Lai
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 16, pp. 868-877
Open Access | Times Cited: 21
The potential of optical and SAR time-series data for the improvement of aboveground biomass carbon estimation in Southwestern China’s evergreen coniferous forests
Yiru Zhang, Binbin He, Rui Chen, et al.
GIScience & Remote Sensing (2024) Vol. 61, Iss. 1
Open Access | Times Cited: 4
Fire Detection with Deep Learning: A Comprehensive Review
Rodrigo Nogueira de Vasconcelos, Washington Franca-Rocha, Diego P. Costa, et al.
Land (2024) Vol. 13, Iss. 10, pp. 1696-1696
Open Access | Times Cited: 4
Regional estimation of dead fuel moisture content in southwest China based on a practical process-based model
Chunquan Fan, Binbin He, Jianpeng Yin, et al.
International Journal of Wildland Fire (2023) Vol. 32, Iss. 7, pp. 1148-1161
Closed Access | Times Cited: 11
Effects of different sampling strategies for unburned label selection in machine learning modelling of wildfire occurrence probability
Xingwen Quan, Miao Jiao, Zhili He, et al.
International Journal of Wildland Fire (2023) Vol. 32, Iss. 4, pp. 561-575
Closed Access | Times Cited: 10
Improving Wildfire Probability Modeling by Integrating Dynamic-Step Weather Variables over Northwestern Sichuan, China
Rui Chen, Binbin He, Xingwen Quan, et al.
International Journal of Disaster Risk Science (2023) Vol. 14, Iss. 2, pp. 313-325
Open Access | Times Cited: 10
Improving wildfire occurrence modelling by integrating time-series features of weather and fuel moisture content
Xingwen Quan, Wenli Wang, Qian Xie, et al.
Environmental Modelling & Software (2023) Vol. 170, pp. 105840-105840
Closed Access | Times Cited: 9
Forest foliage fuel load estimation from multi-sensor spatiotemporal features
Yanxi Li, Rui Chen, Binbin He, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 115, pp. 103101-103101
Open Access | Times Cited: 14
Estimation of Live Fuel Moisture Content From Multiple Sources of Remotely Sensed Data
Wenli Wang, Xingwen Quan
IEEE Geoscience and Remote Sensing Letters (2023) Vol. 20, pp. 1-5
Closed Access | Times Cited: 8
A Physics-Guided Deep Learning Model for 10-h Dead Fuel Moisture Content Estimation
Chunquan Fan, Binbin He
Forests (2021) Vol. 12, Iss. 7, pp. 933-933
Open Access | Times Cited: 18
Integrating remotely sensed fuel variables into wildfire danger assessment for China
Xingwen Quan, Qian Xie, Binbin He, et al.
International Journal of Wildland Fire (2021) Vol. 30, Iss. 10, pp. 807-821
Closed Access | Times Cited: 18
Improving Wildfire Danger Assessment Using Time Series Features of Weather and Fuel in the Great Xing’an Mountain Region, China
Zili Wang, Binbin He, Rui Chen, et al.
Forests (2023) Vol. 14, Iss. 5, pp. 986-986
Open Access | Times Cited: 7
How Does the Management Paradigm Contain Wildfire Over Southwest China? Evidence From Remote Sensing Observation
Miao Jiao, Xingwen Quan, Jinsong Yao, et al.
IEEE Geoscience and Remote Sensing Letters (2023) Vol. 20, pp. 1-5
Closed Access | Times Cited: 7
Characterizing Topographic Influences of Bushfire Severity Using Machine Learning Models: A Case Study in a Hilly Terrain of Victoria, Australia
Saroj Kumar Sharma, Jagannath Aryal, Quanxi Shao, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 2791-2807
Open Access | Times Cited: 6
Process-based and geostationary meteorological satellite-enhanced dead fuel moisture content estimation
Chunquan Fan, Binbin He, Jianpeng Yin, et al.
GIScience & Remote Sensing (2024) Vol. 61, Iss. 1
Open Access | Times Cited: 2
Incorporating fire spread simulation and machine learning algorithms to estimate crown fire potential for pine forests in Sichuan, China
Rui Chen, Binbin He, Yanxi Li, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 132, pp. 104080-104080
Open Access | Times Cited: 2
Forest Fuel Loads Estimation from Landsat ETM+ and ALOS PALSAR Data
Yanxi Li, Xingwen Quan, Zhanmang Liao, et al.
Remote Sensing (2021) Vol. 13, Iss. 6, pp. 1189-1189
Open Access | Times Cited: 11
An overview of remotely sensed fuel variables for the prediction of wildf ires
Xingwen Quan, Binbin He, Abolfazl Jaafari, et al.
Elsevier eBooks (2024), pp. 407-417
Closed Access | Times Cited: 1
Estimation of Forest Canopy Fuel Moisture Content in Dali Prefecture by Combining Vegetation Indices and Canopy Radiative Transfer Models from MODIS Data
Kun Yang, Bo‐Hui Tang, Wei Fu, et al.
Forests (2024) Vol. 15, Iss. 4, pp. 614-614
Open Access | Times Cited: 1
Relationships between Burn Severity and Environmental Drivers in the Temperate Coniferous Forest of Northern China
Changming Yin, Minfeng Xing, Marta Yebra, et al.
Remote Sensing (2021) Vol. 13, Iss. 24, pp. 5127-5127
Open Access | Times Cited: 5
Invertible Physics-Based Hyperspectral Signature Models: A review
Marianne Al Hayek, Catherine Baskiotis, Josselin Aval, et al.
IEEE Geoscience and Remote Sensing Magazine (2023) Vol. 11, Iss. 4, pp. 45-62
Closed Access | Times Cited: 1
Global Live Fuel Moisture Content Dynamic Monitoring Based on Modis Data Observation
Mingzhao Li, Miao Jiao, Wenli Wang, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2023), pp. 3303-3306
Closed Access | Times Cited: 1
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