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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:

Exploring Archetypes of Tropical Fire-Related Forest Disturbances Based on Dense Optical and Radar Satellite Data and Active Fire Alerts
Johannes Balling, Jan Verbesselt, Véronique De Sy, et al.
Forests (2021) Vol. 12, Iss. 4, pp. 456-456
Open Access | Times Cited: 11

Showing 11 citing articles:

Assessing Combinations of Landsat, Sentinel-2 and Sentinel-1 Time series for Detecting Bark Beetle Infestations
Simon König, Frank Thonfeld, Michael Förster, et al.
GIScience & Remote Sensing (2023) Vol. 60, Iss. 1
Open Access | Times Cited: 24
Mapping Land Use/Land Cover Changes and Forest Disturbances in Vietnam Using a Landsat Temporal Segmentation Algorithm
Katsuto Shimizu, Wataru Murakami, Takahisa Furuichi, et al.
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 851-851
Open Access | Times Cited: 19
How textural features can improve SAR-based tropical forest disturbance mapping
Johannes Balling, Martin Herold, Johannes Reiche
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 124, pp. 103492-103492
Open Access | Times Cited: 12
Integrating satellite-based forest disturbance alerts improves detection timeliness and confidence
Johannes Reiche, Johannes Balling, Amy Pickens, et al.
Environmental Research Letters (2024) Vol. 19, Iss. 5, pp. 054011-054011
Open Access | Times Cited: 3
A multi-source change detection algorithm supporting user customization and near real-time deforestation detections
Ian R. McGregor, Grant M. Connette, Josh Gray
Remote Sensing of Environment (2024) Vol. 308, pp. 114195-114195
Closed Access | Times Cited: 2
ALOS-2 PALSAR-2 ScanSAR and Sentinel-1 data for timely tropical forest disturbance mapping: A case study for Sumatra, Indonesia
Johannes Balling, Bart Slagter, Sietse van der Woude, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 132, pp. 103994-103994
Open Access | Times Cited: 2
Archetypes of remnant West African forest patches, their main characteristics and geographical distribution
Vladimir Wingate, Felicia O. Akinyemi, Chinwe Ifejika Speranza
Applied Geography (2023) Vol. 158, pp. 103024-103024
Open Access | Times Cited: 4
Tracking Burned Area Progression in an Unsupervised Manner Using Sentinel-1 SAR Data in Google Earth Engine
Daniel Paluba, Lorenzo Giuliano Papale, Josef Laštovička, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 15612-15634
Open Access | Times Cited: 1
Monitoring immediate post-fire vegetation dynamics of tropical mountain grasslands using phenocameras
Bruna Alberton, Swanni T. Alvarado, Ricardo da Silva Torres, et al.
Ecological Informatics (2023) Vol. 78, pp. 102341-102341
Closed Access | Times Cited: 3
Forest fire monitoring via uncrewed aerial vehicle image processing based on a modified machine learning algorithm
Shaoxiong Zheng, Peng Gao, Xiangjun Zou, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 5
A comprehensive taxonomy for forest fire risk assessment: bridging methodological gaps and proposing future directions
Zühal Özcan, İnci Çağlayan, Özgür Kabak
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 9
Closed Access
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