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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:

From small-scale forest structure to Amazon-wide carbon estimates
Edna Rödig, Nikolai Knapp, Rico Fischer, et al.
Nature Communications (2019) Vol. 10, Iss. 1
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Ecosystem health, ecosystem services, and the well‐being of humans and the rest of nature
Marcello Hernández‐Blanco, Robert Costanza, Haojie Chen, et al.
Global Change Biology (2022) Vol. 28, Iss. 17, pp. 5027-5040
Open Access | Times Cited: 90
The shape of trees: Reimagining forest ecology in three dimensions with remote sensing
Emily R. Lines, Fabian Jörg Fischer, Harry Owen, et al.
Journal of Ecology (2022) Vol. 110, Iss. 8, pp. 1730-1745
Open Access | Times Cited: 61
Towards a global understanding of tree mortality

New Phytologist (2025)
Open Access | Times Cited: 1
Allometry-based estimation of forest aboveground biomass combining LiDAR canopy height attributes and optical spectral indexes
Qiuli Yang, Yanjun Su, Tianyu Hu, et al.
Forest Ecosystems (2022) Vol. 9, pp. 100059-100059
Open Access | Times Cited: 34
Spatial heterogeneity of global forest aboveground carbon stocks and fluxes constrained by spaceborne lidar data and mechanistic modeling
Lei Ma, G. C. Hurtt, Hao Tang, et al.
Global Change Biology (2023) Vol. 29, Iss. 12, pp. 3378-3394
Open Access | Times Cited: 20
Spatially continuous estimation of urban forest aboveground biomass with UAV-LiDAR and multispectral scanning: An allometric model of forest structural diversity
Yalin Zhai, Lei Wang, Yunlong Yao, et al.
Agricultural and Forest Meteorology (2024) Vol. 360, pp. 110301-110301
Closed Access | Times Cited: 6
A framework for upscaling aboveground biomass from an individual tree to landscape level and qualifying the multiscale spatial uncertainties for secondary forests
Ye Ma, Jungho Im, Zhen Zhen, et al.
Geo-spatial Information Science (2025), pp. 1-20
Open Access
A review on modelling forest biogeochemistry and the coupled forest – soil interactions in a changing world
Felix Sauke, Rico Fischer, Michael Rode
Environmental Modelling & Software (2025), pp. 106381-106381
Open Access
Carbon loss and removal due to forest disturbance and regeneration in the Amazon
Eric L. Bullock, Curtis E. Woodcock
The Science of The Total Environment (2020) Vol. 764, pp. 142839-142839
Open Access | Times Cited: 32
Climate influence on the 2019 fires in Amazonia
Xiao Dong, Fang Li, Zhongda Lin, et al.
The Science of The Total Environment (2021) Vol. 794, pp. 148718-148718
Closed Access | Times Cited: 28
Edge Effects in Amazon Forests: Integrating Remote Sensing and Modelling to Assess Changes in Biomass and Productivity
Luise Bauer, Andreas Huth, André Bogdanowski, et al.
Remote Sensing (2024) Vol. 16, Iss. 3, pp. 501-501
Open Access | Times Cited: 4
Synergistic estimation of mangrove canopy height across coastal China: Integrating SDGSAT-1 multispectral data with Sentinel-1/2 time-series imagery
Mingming Jia, Rong Zhang, Chuanpeng Zhao, et al.
Remote Sensing of Environment (2025) Vol. 323, pp. 114719-114719
Closed Access
Combining Sample Plot Stratification and Machine Learning Algorithms to Improve Forest Aboveground Carbon Density Estimation in Northeast China Using Airborne LiDAR Data
Mingjie Chen, Xincai Qiu, Weisheng Zeng, et al.
Remote Sensing (2022) Vol. 14, Iss. 6, pp. 1477-1477
Open Access | Times Cited: 18
Carbon Sequestration in Mixed Deciduous Forests: The Influence of Tree Size and Species Composition Derived from Model Experiments
Anne Holtmann, Andreas Huth, Felix Pohl, et al.
Forests (2021) Vol. 12, Iss. 6, pp. 726-726
Open Access | Times Cited: 23
Utilization of the zebrafish model to unravel the harmful effects of biomass burning during Amazonian wildfires
Sanja Babić, Lara Čižmek, Aleksandra Maršavelski, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 21
Airborne and Spaceborne Lidar Reveal Trends and Patterns of Functional Diversity in a Semi-Arid Ecosystem
Nayani Ilangakoon, Nancy F. Glenn, Fabian Schneider, et al.
Frontiers in Remote Sensing (2021) Vol. 2
Open Access | Times Cited: 20
Tree Crowns Cause Border Effects in Area-Based Biomass Estimations from Remote Sensing
Nikolai Knapp, Andreas Huth, Rico Fischer
Remote Sensing (2021) Vol. 13, Iss. 8, pp. 1592-1592
Open Access | Times Cited: 20
Aboveground biomass in secondary montane forests in Peru: Slow carbon recovery in agroforestry legacies
Susan Aragón, Norma Salinas, Alex Nina, et al.
Global Ecology and Conservation (2021) Vol. 28, pp. e01696-e01696
Open Access | Times Cited: 19
Creating virtual forests around the globe and analysing their state space
Hans Henniger, Andreas Huth, Karin Frank, et al.
Ecological Modelling (2023) Vol. 483, pp. 110404-110404
Closed Access | Times Cited: 7
Extraction of tree heights in mountainous natural forests from UAV leaf-on stereoscopic imagery based on approximation of ground surfaces
Tianyu Yu, Wenjian Ni, Jianli Liu, et al.
Remote Sensing of Environment (2023) Vol. 293, pp. 113613-113613
Closed Access | Times Cited: 6
Carbon storage and sequestration rates of trees inside and outside forests in Great Britain
Florian Zellweger, Sophie Flack‐Prain, Joel Footring, et al.
Environmental Research Letters (2022) Vol. 17, Iss. 7, pp. 074004-074004
Open Access | Times Cited: 10
Confronting an individual-based simulation model with empirical community patterns of grasslands
Franziska Taubert, Jessica Hetzer, Julia S. Schmid, et al.
PLoS ONE (2020) Vol. 15, Iss. 7, pp. e0236546-e0236546
Open Access | Times Cited: 13
Importance of the forest state in estimating biomass losses from tropical forests: combining dynamic forest models and remote sensing
Ulrike Hiltner, Andreas Huth, Rico Fischer
Biogeosciences (2022) Vol. 19, Iss. 7, pp. 1891-1911
Open Access | Times Cited: 8
Mapping Amazon Forest Productivity by Fusing GEDI Lidar Waveforms with an Individual-Based Forest Model
Luise Bauer, Nikolai Knapp, Rico Fischer
Remote Sensing (2021) Vol. 13, Iss. 22, pp. 4540-4540
Open Access | Times Cited: 11
Evaluating forest aboveground biomass estimation model using simulated ALS point cloud from an individual-based forest model and 3D radiative transfer model across continents
Zhexiu Yu, Jianbo Qi, Shangbo Liu, et al.
Journal of Environmental Management (2024) Vol. 372, pp. 123287-123287
Closed Access | Times Cited: 1
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