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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:

The Forest Observation System, building a global reference dataset for remote sensing of forest biomass
Dmitry Schepaschenko, Jérôme Chave, Oliver L. Phillips, et al.
Scientific Data (2019) Vol. 6, Iss. 1
Open Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

Spatial validation reveals poor predictive performance of large-scale ecological mapping models
Pierre Ploton, Frédéric Mortier, Maxime Réjou‐Méchain, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 465
ForestGEO: Understanding forest diversity and dynamics through a global observatory network
Stuart J. Davies, Iveren Abiem, Kamariah Abu Salim, et al.
Biological Conservation (2020) Vol. 253, pp. 108907-108907
Open Access | Times Cited: 178
Taking the pulse of Earth's tropical forests using networks of highly distributed plots
ForestPlots.net, Cecilia Blundo, Julieta Carilla, et al.
Biological Conservation (2021) Vol. 260, pp. 108849-108849
Open Access | Times Cited: 133
Are Terrestrial Biosphere Models Fit for Simulating the Global Land Carbon Sink?
Christian Seiler, Joe R. Melton, Vivek K. Arora, et al.
Journal of Advances in Modeling Earth Systems (2022) Vol. 14, Iss. 5
Open Access | Times Cited: 106
A comprehensive framework for assessing the accuracy and uncertainty of global above-ground biomass maps
Arnan Araza, Sytze de Bruin, Martin Herold, et al.
Remote Sensing of Environment (2022) Vol. 272, pp. 112917-112917
Open Access | Times Cited: 79
Russian forest sequesters substantially more carbon than previously reported
Dmitry Schepaschenko, Elena Moltchanova, Stanislav Fedorov, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 97
Climatic and edaphic controls over tropical forest diversity and vegetation carbon storage
Florian Hofhansl, Eduardo Chacón‐Madrigal, Lucia Fuchslueger, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 87
Carbon cycling in mature and regrowth forests globally
Kristina J. Anderson‐Teixeira, Valentine Herrmann, Rebecca Banbury Morgan, et al.
Environmental Research Letters (2021) Vol. 16, Iss. 5, pp. 053009-053009
Open Access | Times Cited: 73
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
Toward a forest biomass reference measurement system for remote sensing applications
Nicolas Labrière, Stuart J. Davies, Mathias Disney, et al.
Global Change Biology (2022) Vol. 29, Iss. 3, pp. 827-840
Open Access | Times Cited: 38
Assessing the performance of NASA’s GEDI L4A footprint aboveground biomass density models using National Forest Inventory and airborne laser scanning data in Mediterranean forest ecosystems
Adrián Pascual, Juan Guerra-Hernández, John Armston, et al.
Forest Ecology and Management (2023) Vol. 538, pp. 120975-120975
Open Access | Times Cited: 24
Effects of landscape changes on water quality: A global meta-analysis
Xinying Shi, Dehua Mao, Kaishan Song, et al.
Water Research (2024) Vol. 260, pp. 121946-121946
Closed Access | Times Cited: 11
OpenForest: a data catalog for machine learning in forest monitoring
Arthur Ouaknine, Teja Kattenborn, Étienne Laliberté, et al.
Environmental Data Science (2025) Vol. 4
Open Access | Times Cited: 1
Estimating Forest Stock Volume in Hunan Province, China, by Integrating In Situ Plot Data, Sentinel-2 Images, and Linear and Machine Learning Regression Models
Yang Hu, Xuelei Xu, Fayun Wu, et al.
Remote Sensing (2020) Vol. 12, Iss. 1, pp. 186-186
Open Access | Times Cited: 63
Examining the Role of UAV Lidar Data in Improving Tree Volume Calculation Accuracy
Kuo Liao, Yunhe Li, Bingzhang Zou, et al.
Remote Sensing (2022) Vol. 14, Iss. 17, pp. 4410-4410
Open Access | Times Cited: 23
Parsimonious machine learning for the global mapping of aboveground biomass potential
Diego Bengochea Paz, Alba Marquez-Torres, João Pompeu, et al.
Ecography (2025)
Open Access
Towards an ensemble-based evaluation of land surface models in light of uncertain forcings and observations
Vivek K. Arora, Christian Seiler, Libo Wang, et al.
Biogeosciences (2023) Vol. 20, Iss. 7, pp. 1313-1355
Open Access | Times Cited: 11
Pantropical geography of lightning‐caused disturbance and its implications for tropical forests
Evan M. Gora, Jeffrey C. Burchfield, Helene C. Muller‐Landau, et al.
Global Change Biology (2020) Vol. 26, Iss. 9, pp. 5017-5026
Closed Access | Times Cited: 30
Synergistic use of Sentinel-1, Sentinel-2, and Landsat 8 in predicting forest variables
Gengsheng Fang, Hao Xu, Sheng-I Yang, et al.
Ecological Indicators (2023) Vol. 151, pp. 110296-110296
Open Access | Times Cited: 10
Estimation of Forest Stock Volume Using Sentinel-2 MSI, Landsat 8 OLI Imagery and Forest Inventory Data
Yangyang Zhou, Zhongke Feng
Forests (2023) Vol. 14, Iss. 7, pp. 1345-1345
Open Access | Times Cited: 10
Evaluating the Performance of the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) Tailored to the Pan‐Canadian Domain
Salvatore R. Curasi, Joe R. Melton, Elyn Humphreys, et al.
Journal of Advances in Modeling Earth Systems (2023) Vol. 15, Iss. 4
Open Access | Times Cited: 9
A network to understand the changing socio‐ecology of the southern African woodlands (SEOSAW): Challenges, benefits, and methods

Plants People Planet (2020) Vol. 3, Iss. 3, pp. 249-267
Open Access | Times Cited: 26
CLASSIC v1.0: the open-source community successor to the Canadian Land Surface Scheme (CLASS) and the Canadian Terrestrial Ecosystem Model (CTEM) – Part 2: Global benchmarking
Christian Seiler, Joe R. Melton, Vivek K. Arora, et al.
Geoscientific model development (2021) Vol. 14, Iss. 5, pp. 2371-2417
Open Access | Times Cited: 22
New Forest Aboveground Biomass Maps of China Integrating Multiple Datasets
Zhongbing Chang, Sanaa Hobeichi, Ying‐Ping Wang, et al.
Remote Sensing (2021) Vol. 13, Iss. 15, pp. 2892-2892
Open Access | Times Cited: 20
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