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:

A Call to Improve Methods for Estimating Tree Biomass for Regional and National Assessments
Aaron R. Weiskittel, David W. MacFarlane, Philip J. Radtke, et al.
Journal of Forestry (2015) Vol. 113, Iss. 4, pp. 414-424
Open Access | Times Cited: 95

Showing 1-25 of 95 citing articles:

Generalized biomass and leaf area allometric equations for European tree species incorporating stand structure, tree age and climate
David I. Forrester, I.H.H. Tachauer, Peter Annighoefer, et al.
Forest Ecology and Management (2017) Vol. 396, pp. 160-175
Open Access | Times Cited: 291

Variability and uncertainty in forest biomass estimates from the tree to landscape scale: the role of allometric equations
Anthony G. Vorster, Paul Evangelista, Atticus Stovall, et al.
Carbon Balance and Management (2020) Vol. 15, Iss. 1
Open Access | Times Cited: 109

Assessing terrestrial laser scanning for developing non-destructive biomass allometry
Atticus Stovall, Kristina J. Anderson‐Teixeira, Herman H. Shugart
Forest Ecology and Management (2018) Vol. 427, pp. 217-229
Open Access | Times Cited: 88

Addressing uncertainty and bias in land use, land use change, and forestry greenhouse gas inventories
Emily McGlynn, Serena Li, Michael F. Berger, et al.
Climatic Change (2022) Vol. 170, Iss. 1-2
Open Access | Times Cited: 40

Estimation of above ground biomass in tropical heterogeneous forests in India using GEDI
Indu Indirabai, Mats Nilsson
Ecological Informatics (2024) Vol. 82, pp. 102712-102712
Open Access | Times Cited: 11

Selecting allometric equations to estimate forest biomass from plot- rather than individual-level predictive performance
Nicolas Picard, Noël Fonton, Faustin Boyemba Bosela, et al.
Biogeosciences (2025) Vol. 22, Iss. 5, pp. 1413-1426
Open Access | Times Cited: 1

Predicting tree biomass growth in the temperate–boreal ecotone: Is tree size, age, competition, or climate response most important?
Jane R. Foster, Andrew O. Finley, Anthony W. D’Amato, et al.
Global Change Biology (2015) Vol. 22, Iss. 6, pp. 2138-2151
Closed Access | Times Cited: 90

Dynamic allometric scaling of tree biomass and size
Xiaolu Zhou, Mingxia Yang, Zelin Liu, et al.
Nature Plants (2021) Vol. 7, Iss. 1, pp. 42-49
Closed Access | Times Cited: 49

Quantifying Tree Diversity, Carbon Stocks, and Sequestration Potential for Diverse Land Uses in Northeast India
Uttam Kumar Sahoo, Om Prakash Tripathi, Arun Jyoti Nath, et al.
Frontiers in Environmental Science (2021) Vol. 9
Open Access | Times Cited: 45

Branching the limits: Robust 3D tree reconstruction from incomplete laser point clouds
Weixi Wang, Yaoyu Li, Hongsheng Huang, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 125, pp. 103557-103557
Open Access | Times Cited: 18

A national-scale tree volume, biomass, and carbon modeling system for the United States
James A. Westfall, John W. Coulston, Andrew N. Gray, et al.
(2023)
Open Access | Times Cited: 17

Growth responses of narrow or broad site adapted tree species to a range of resource availability treatments after a full harvest rotation
David R. Coyle, Doug P. Aubrey, Mark D. Coleman
Forest Ecology and Management (2015) Vol. 362, pp. 107-119
Open Access | Times Cited: 53

High-resolution mapping of aboveground biomass for forest carbon monitoring system in the Tri-State region of Maryland, Pennsylvania and Delaware, USA
Wenli Huang, K. A. Dolan, Anu Swatantran, et al.
Environmental Research Letters (2019) Vol. 14, Iss. 9, pp. 095002-095002
Open Access | Times Cited: 45

A critical review of forest biomass estimation equations in India
Biplab Brahma, Arun Jyoti Nath, Chandraprabha Deb, et al.
Trees Forests and People (2021) Vol. 5, pp. 100098-100098
Open Access | Times Cited: 39

Uncertainty of inventory-based estimates of the carbon dynamics of Canada’s managed forest (1990–2014)
Juha M. Metsaranta, Cindy Shaw, Werner A. Kurz, et al.
Canadian Journal of Forest Research (2017) Vol. 47, Iss. 8, pp. 1082-1094
Open Access | Times Cited: 45

The U.S. forest carbon accounting framework: stocks and stock change, 1990-2016
Christopher W. Woodall, John W. Coulston, Grant M. Domke, et al.
(2015)
Open Access | Times Cited: 42

Biomass estimation in mangrove forests: a comparison of allometric models incorporating species and structural information
Md. Saidur Rahman, Daniel N.M. Donoghue, Louise J. Bracken, et al.
Environmental Research Letters (2021) Vol. 16, Iss. 12, pp. 124002-124002
Open Access | Times Cited: 31

Estimating Carbon Sequestration Potential of Forest and Its Influencing Factors at Fine Spatial-Scales: A Case Study of Lushan City in Southern China
Geng He, Zhiduo Zhang, Qing Zhu, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 15, pp. 9184-9184
Open Access | Times Cited: 19

Variation in the Basic Density of the Tree Components of Gray Alder and Common Alder
Kaspars Liepiņš, Jānis Liepiņš, Jānis Ivanovs, et al.
Forests (2023) Vol. 14, Iss. 1, pp. 135-135
Open Access | Times Cited: 12

Terrestrial Laser Scanning for Estimating the Volume and Biomass of Coniferous Stems in the Mariposa Monarca Biosphere Reserve, Mexico
José Antonio Hernández Moreno, Alejandro Velázquez‐Martínez, Diego R. Pérez‐Salicrup, et al.
Forests (2025) Vol. 16, Iss. 2, pp. 334-334
Open Access

Assessing the effectiveness of mangrove rehabilitation using above-ground biomass and structural diversity
Asamaporn Sitthi, Uday Pimple, Camille Piponiot, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

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