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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:

Validation of GOES-16 ABI and MSG SEVIRI active fire products
Joanne Hall, Ruiwan Zhang, W. Schroeder, et al.
International Journal of Applied Earth Observation and Geoinformation (2019) Vol. 83, pp. 101928-101928
Open Access | Times Cited: 69

Showing 1-25 of 69 citing articles:

A Review on Early Forest Fire Detection Systems Using Optical Remote Sensing
Panagiotis Barmpoutis, Periklis Papaioannou, Kosmas Dimitropoulos, et al.
Sensors (2020) Vol. 20, Iss. 22, pp. 6442-6442
Open Access | Times Cited: 384
A Review of the Applications of Remote Sensing in Fire Ecology
David M. Szpakowski, Jennifer Jensen
Remote Sensing (2019) Vol. 11, Iss. 22, pp. 2638-2638
Open Access | Times Cited: 221
Satellite remote sensing of active fires: History and current status, applications and future requirements
Martin J. Wooster, G. Roberts, Louis Giglio, et al.
Remote Sensing of Environment (2021) Vol. 267, pp. 112694-112694
Open Access | Times Cited: 187
Advancing Scientific Understanding of the Global Methane Budget in Support of the Paris Agreement
Anita L. Ganesan, Stefan Schwietzke, Benjamin Poulter, et al.
Global Biogeochemical Cycles (2019) Vol. 33, Iss. 12, pp. 1475-1512
Open Access | Times Cited: 155
Sentinel-2 MSI data for active fire detection in major fire-prone biomes: A multi-criteria approach
Xikun Hu, Yifang Ban, Andrea Nascetti
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 101, pp. 102347-102347
Open Access | Times Cited: 71
Lightning patterns in the Pantanal: Untangling natural and anthropogenic-induced wildfires
Lucas S. Menezes, Aline Macedo de Oliveira, Filippe L.M. Santos, et al.
The Science of The Total Environment (2022) Vol. 820, pp. 153021-153021
Open Access | Times Cited: 57
A deep learning model using geostationary satellite data for forest fire detection with reduced detection latency
Yoojin Kang, Eunna Jang, Jungho Im, et al.
GIScience & Remote Sensing (2022) Vol. 59, Iss. 1, pp. 2019-2035
Open Access | Times Cited: 55
Advancements in remote sensing for active fire detection: A review of datasets and methods
Songxi Yang, Qunying Huang, Manzhu Yu
The Science of The Total Environment (2024) Vol. 943, pp. 173273-173273
Closed Access | Times Cited: 16
Advances in the estimation of high Spatio-temporal resolution pan-African top-down biomass burning emissions made using geostationary fire radiative power (FRP) and MAIAC aerosol optical depth (AOD) data
Hannah Nguyen, Martin J. Wooster
Remote Sensing of Environment (2020) Vol. 248, pp. 111971-111971
Open Access | Times Cited: 69
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
Using Satellite‐Derived Fire Arrival Times for Coupled Wildfire‐Air Quality Simulations at Regional Scales of the 2020 California Wildfire Season
William Lassman, Jeffrey D. Mirocha, Robert S. Arthur, et al.
Journal of Geophysical Research Atmospheres (2023) Vol. 128, Iss. 6
Open Access | Times Cited: 14
Development of the User Requirements for the Canadian WildFireSat Satellite Mission
Joshua M. Johnston, Natasha Jackson, Colin B. McFayden, et al.
Sensors (2020) Vol. 20, Iss. 18, pp. 5081-5081
Open Access | Times Cited: 32
An evaluation of advanced baseline imager fire radiative power based wildfire emissions using carbon monoxide observed by the Tropospheric Monitoring Instrument across the conterminous United States
Fangjun Li, Xiaoyang Zhang, Shobha Kondragunta, et al.
Environmental Research Letters (2020) Vol. 15, Iss. 9, pp. 094049-094049
Open Access | Times Cited: 29
Towards a Deep-Learning-Based Framework of Sentinel-2 Imagery for Automated Active Fire Detection
Qi Zhang, Linlin Ge, Ruiheng Zhang, et al.
Remote Sensing (2021) Vol. 13, Iss. 23, pp. 4790-4790
Open Access | Times Cited: 27
The Fengyun-3D (FY-3D) global active fire product: principle, methodology and validation
Jie Chen, Qi Yao, Ziyue Chen, et al.
Earth system science data (2022) Vol. 14, Iss. 8, pp. 3489-3508
Open Access | Times Cited: 18
Biomass burning CO, PM and fuel consumption per unit burned area estimates derived across Africa using geostationary SEVIRI fire radiative power and Sentinel-5P CO data
Hannah Nguyen, Jiangping He, Martin J. Wooster
Atmospheric chemistry and physics (2023) Vol. 23, Iss. 3, pp. 2089-2118
Open Access | Times Cited: 10
Assessment and validation of Meteosat SEVIRI fire radiative power (FRP) retrievals over Kruger National Park
G. Roberts, Martin J. Wooster, Tercia Strydom
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 136, pp. 104375-104375
Closed Access
Smoke or cloud: Real-time satellite image segmentation in a wildfire data integration application
Sequoia R. Andrade, Nastaran Shafiei, Peter Mehlitz
Computers & Geosciences (2025), pp. 105960-105960
Closed Access
Improvements in high-temporal resolution active fire detection and FRP retrieval over the Americas using GOES-16 ABI with the geostationary Fire Thermal Anomaly (FTA) algorithm
Weidong Xu, Martin J. Wooster, Jiangping He, et al.
Science of Remote Sensing (2021) Vol. 3, pp. 100016-100016
Open Access | Times Cited: 21
One year of near-continuous fire monitoring on a continental scale: Comparing fire radiative power from polar-orbiting and geostationary observations
Konstantinos Chatzopoulos-Vouzoglanis, Karin Reinke, Mariela Soto‐Berelov, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 117, pp. 103214-103214
Open Access | Times Cited: 9
Toward an adaptable deep-learning model for satellite-based wildfire monitoring with consideration of environmental conditions
Yoojin Kang, Taejun Sung, Jungho Im
Remote Sensing of Environment (2023) Vol. 298, pp. 113814-113814
Closed Access | Times Cited: 9
Systematically tracking the hourly progression of large wildfires using GOES satellite observations
Tianjia Liu, James T. Randerson, Yang Chen, et al.
Earth system science data (2024) Vol. 16, Iss. 3, pp. 1395-1424
Open Access | Times Cited: 3
A Deep Learning Framework: Predicting Fire Radiative Power From the Combination of Polar-Orbiting and Geostationary Satellite Data During Wildfire Spread
Zixun Dong, Change Zheng, Fengjun Zhao, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 10827-10841
Open Access | Times Cited: 3
An adapted hourly Himawari-8 fire product for China: principle, methodology and verification
Jie Chen, Qiancheng Lv, Shuang Wu, et al.
Earth system science data (2023) Vol. 15, Iss. 5, pp. 1911-1931
Open Access | Times Cited: 7
GOES-R Time Series for Early Detection of Wildfires with Deep GRU-Network
Yu Zhao, Yifang Ban
Remote Sensing (2022) Vol. 14, Iss. 17, pp. 4347-4347
Open Access | Times Cited: 11
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