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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:

Satellite-based global maps are rarely used in forest reference levels submitted to the UNFCCC
Joana Melo, Timothy R. Baker, Dirk Nemitz, et al.
Environmental Research Letters (2023) Vol. 18, Iss. 3, pp. 034021-034021
Open Access | Times Cited: 15

Showing 15 citing articles:

Calibration of GEDI footprint aboveground biomass models in Mediterranean forests with NFI plots: A comparison of approaches
Adrián Pascual, Paul May, Aarón Cárdenas-Martínez, et al.
Journal of Environmental Management (2025) Vol. 375, pp. 124313-124313
Open Access | Times Cited: 2
The role of forests in the EU climate policy: are we on the right track?
Anu Korosuo, Roberto Pilli, Raúl Abad Viñas, et al.
Carbon Balance and Management (2023) Vol. 18, Iss. 1
Open Access | Times Cited: 39
Estimating aboveground biomass density using hybrid statistical inference with GEDI lidar data and Paraguay’s national forest inventory
Eric L. Bullock, Sean P. Healey, Zhiqiang Yang, et al.
Environmental Research Letters (2023) Vol. 18, Iss. 8, pp. 085001-085001
Open Access | Times Cited: 18
On the NASA GEDI and ESA CCI biomass maps: aligning for uptake in the UNFCCC global stocktake
Neha Hunka, Maurizio Santoro, John Armston, et al.
Environmental Research Letters (2023) Vol. 18, Iss. 12, pp. 124042-124042
Open Access | Times Cited: 18
Challenges in data-driven geospatial modeling for environmental research and practice
Diana Koldasbayeva, Polina Tregubova, Mikhail Gasanov, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 8
Intergovernmental Panel on Climate Change (IPCC) Tier 1 forest biomass estimates from Earth Observation
Neha Hunka, Laura Duncanson, John Armston, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 7
Impact of fire severity on forest structure and biomass stocks using NASA GEDI data. Insights from the 2020 and 2021 wildfire season in Spain and Portugal
Juan Guerra-Hernández, José M. C. Pereira, Atticus Stovall, et al.
Science of Remote Sensing (2024) Vol. 9, pp. 100134-100134
Open Access | Times Cited: 5
A geostatistical approach to enhancing national forest biomass assessments with Earth Observation to aid climate policy needs
Neha Hunka, Paul May, Chad Babcock, et al.
Remote Sensing of Environment (2024) Vol. 318, pp. 114557-114557
Open Access | Times Cited: 3
Enhancing GEDI above ground biomass density estimates in contrasting forests of Pakistan
Abid Nazir, Niall P. Hanan, Qiuyan Yu, et al.
Forest Ecology and Management (2025) Vol. 587, pp. 122747-122747
Open Access
Forest definitions require a re-think
Viviana Zalles, Nancy L. Harris, Fred Stolle, et al.
Communications Earth & Environment (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 2
Open Foris Collect Earth: a remote sensing sampling survey of Azerbaijan to support climate change reporting in the land use, land use change, and forestry
Çağlar Başsüllü, Alfonso Sánchez-Paus Díaz
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 10
Closed Access | Times Cited: 2
Mind the gap: reconciling tropical forest carbon flux estimates from earth observation and national reporting requires transparency
Viola Heinrich, Joanna I. House, David A. Gibbs, et al.
Carbon Balance and Management (2023) Vol. 18, Iss. 1
Open Access | Times Cited: 1
Global biomass maps can increase the precision of (sub)national aboveground biomass estimates: A comparison across tropical countries
Natalia Málaga, Sytze de Bruin, Ronald E. McRoberts, et al.
The Science of The Total Environment (2024) Vol. 947, pp. 174653-174653
Open Access
A Regional Land Use Assessment with Collect Earth: Case Studies of Agdash and Gakh, Azerbaijan
Çağlar Başsüllü
Menba Kastamonu Üniversitesi Su Ürünleri Fakültesi Dergisi (2024)
Open Access
Aboveground biomass estimates from UAV LiDAR improved via contextual learning in a Norway spruce forest
Jaime Caballer Revenga, Stefan Oehmcke, Mana Gharun, et al.
EarthArXiv (California Digital Library) (2023)
Open Access
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