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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:

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

Showing 1-25 of 38 citing articles:

Emerging bio-capture strategies for greenhouse gas reduction: Navigating challenges towards carbon neutrality
Tanmay Tiwari, Gun Anit Kaur, Pravin Kumar Singh, et al.
The Science of The Total Environment (2024) Vol. 929, pp. 172433-172433
Closed Access | Times Cited: 21
LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa
Suraj Reddy Rodda, Rakesh Fararoda, Rajashekar Gopalakrishnan, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 9
Analysis on metabolic functions of rhizosphere microbial communities of Pinus massoniana provenances with different carbon storage by Biolog Eco microplates
Zichen Huang, Yiyun Qin, Xin He, et al.
Frontiers in Microbiology (2024) Vol. 15
Open Access | Times Cited: 8
Estimating forest aboveground carbon sink based on landsat time series and its response to climate change
Kun Yang, Kai Luo, Jialong Zhang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Towards a global understanding of tree mortality

New Phytologist (2025)
Open Access | Times Cited: 1
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: 1
Damage to living trees contributes to almost half of the biomass losses in tropical forests
Daniel Zuleta, Gabriel Arellano, Sean M. McMahon, et al.
Global Change Biology (2023) Vol. 29, Iss. 12, pp. 3409-3420
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: 17
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: 14
Using bi-temporal ALS and NFI-based time-series data to account for large-scale aboveground carbon dynamics: the showcase of mediterranean forests
Juan Guerra-Hernández, Adrián Pascual, Frederico Tupinambá‐Simões, et al.
European Journal of Remote Sensing (2024) Vol. 57, Iss. 1
Open Access | Times Cited: 5
Utility of UAS-LIDAR for estimating forest structural attributes of the Miombo woodlands in Zambia
Hastings Shamaoma, Paxie W. Chirwa, Jules Christian Zekeng, et al.
PLoS ONE (2025) Vol. 20, Iss. 3, pp. e0315664-e0315664
Open Access
Divergent profiles of rhizosphere soil carbon and nitrogen cycling in Pinus massoniana provenances with different types of carbon storage
Zichen Huang, Jiannan Wang, Xin He, et al.
Frontiers in Microbiology (2025) Vol. 16
Open Access
Remote sensing and integration of machine learning algorithms for above-ground biomass estimation in Larix principis-rupprechtii Mayr plantations: a case study using Sentinel-2 and Landsat-9 data in northern China
Jamshid Ali, Haoran Wang, Kaleem Mehmood, et al.
Frontiers in Environmental Science (2025) Vol. 13
Open Access
Towards a roadmap for space-based observations of the land sector for the UNFCCC global stocktake
Osamu Ochiai, Benjamin Poulter, F. Seifert, et al.
iScience (2023) Vol. 26, Iss. 4, pp. 106489-106489
Open Access | Times Cited: 11
Ground-based calibration for remote sensing of biomass in the tallest forests
Stephen C. Sillett, Mark E. Graham, J Montague, et al.
Forest Ecology and Management (2024) Vol. 561, pp. 121879-121879
Open Access | Times Cited: 4
Design and performance of the Climate Change Initiative Biomass global retrieval algorithm
Maurizio Santoro, Oliver Cartus, S. Quegan, et al.
Science of Remote Sensing (2024) Vol. 10, pp. 100169-100169
Open Access | Times Cited: 4
The Importance of Ground-Truthing in Local Biomass Models for REDD+ – a Case Study in the Chiloe Island, Chile
Víctor Volke Haller, Luke Sanford, Timothy G. Grégoire
(2025)
Closed Access
Assessing Above-Ground Biomass Dynamics and Carbon Sequestration Potential Using Machine Learning and Spaceborne LiDAR in Hilly Conifer Forests of Mansehra District, Pakistan
Muhammad Imran, Guanhua Zhou, Guifei Jing, et al.
Forests (2025) Vol. 16, Iss. 2, pp. 330-330
Open Access
Harnessing Artificial Intelligence, Machine Learning and Deep Learning for Sustainable Forestry Management and Conservation: Transformative Potential and Future Perspectives
T. J. Wang, Yiping Zuo, Teja Manda, et al.
Plants (2025) Vol. 14, Iss. 7, pp. 998-998
Open Access
AI applications in forest monitoring need remote sensing benchmark datasets
Emily R. Lines, Matthew R. Allen, Carlos Çabo, et al.
2021 IEEE International Conference on Big Data (Big Data) (2022), pp. 4528-4533
Open Access | Times Cited: 17
Accuracy evaluation and effect factor analysis of GEDI aboveground biomass product for temperate forests in the conterminous United States
Duo Jia, Cangjiao Wang, Christopher R. Hakkenberg, et al.
GIScience & Remote Sensing (2023) Vol. 61, Iss. 1
Open Access | Times Cited: 10
Spatial predictions and uncertainties of forest carbon fluxes for carbon accounting
Arnan Araza, Sytze de Bruin, Lars Hein, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 9
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: 3
Perspective: Monitoring global forests using only structural metrics – problems and solutions from a savanna viewpoint
Peter F. Scogings
Forest Ecology and Management (2023) Vol. 546, pp. 121381-121381
Open Access | Times Cited: 7
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