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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:

Should tree biomass allometry be restricted to power models?
Nicolas Picard, Ervan Rutishauser, Pierre Ploton, et al.
Forest Ecology and Management (2015) Vol. 353, pp. 156-163
Closed Access | Times Cited: 127

Showing 1-25 of 127 citing articles:

Estimating forest above‐ground biomass with terrestrial laser scanning: Current status and future directions
Miro Demol, Hans Verbeeck, Bert Gielen, et al.
Methods in Ecology and Evolution (2022) Vol. 13, Iss. 8, pp. 1628-1639
Open Access | Times Cited: 71
Testing the generality of above‐ground biomass allometry across plant functional types at the continent scale
Keryn I. Paul, Stephen H. Roxburgh, Jérôme Chave, et al.
Global Change Biology (2015) Vol. 22, Iss. 6, pp. 2106-2124
Open Access | Times Cited: 173
Review of allometric equations for major land covers in SE Asia: Uncertainty and implications for above- and below-ground carbon estimates
Kai Wan Yuen, Tak Fung, Alan D. Ziegler
Forest Ecology and Management (2015) Vol. 360, pp. 323-340
Closed Access | Times Cited: 99
Laser scanning reveals potential underestimation of biomass carbon in temperate forest
Kim Calders, Hans Verbeeck, Andrew Burt, et al.
Ecological Solutions and Evidence (2022) Vol. 3, Iss. 4
Open Access | Times Cited: 54
Evaluating energy, economic, and environmental aspects of solar-wind-biomass systems to identify optimal locations in Iraq: A GIS-based case study
Qusay Hassan, Tariq J. Al‐Musawi, Sameer Algburi, et al.
Energy Sustainable Development/Energy for sustainable development (2024) Vol. 79, pp. 101386-101386
Closed Access | Times Cited: 14
Non-destructive Estimates of Aboveground Biomass of Savanna Trees Using Quantitative Structure Models and Close-Range Photogrammetry.
Finagnon Gabin Laly, Gilbert Atindogbé, Hospice Afouda Akpo, et al.
Trees Forests and People (2025), pp. 100791-100791
Open Access | Times Cited: 1
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
Closing a gap in tropical forest biomass estimation: taking crown mass variation into account in pantropical allometries
Pierre Ploton, Nicolas Barbier, Stéphane Momo Takoudjou, et al.
Biogeosciences (2016) Vol. 13, Iss. 5, pp. 1571-1585
Open Access | Times Cited: 82
Height – Diameter allometry in South Africa’s indigenous high forests: Assessing generic models performance and function forms
Sylvanus Mensah, Otto L. Pienaar, Anton Kunneke, et al.
Forest Ecology and Management (2017) Vol. 410, pp. 1-11
Closed Access | Times Cited: 79
Aboveground Biomass and Carbon in a South African Mistbelt Forest and the Relationships with Tree Species Diversity and Forest Structures
Sylvanus Mensah, Ruan Veldtman, Ben du Toit, et al.
Forests (2016) Vol. 7, Iss. 4, pp. 79-79
Open Access | Times Cited: 76
Contrasted allometries between stem diameter, crown area, and tree height in five tropical biogeographic areas
Élodie Blanchard, Philippe Birnbaum, Thomas Ibanez, et al.
Trees (2016) Vol. 30, Iss. 6, pp. 1953-1968
Closed Access | Times Cited: 76
A regional allometry for the Congo basin forests based on the largest ever destructive sampling
Adeline Fayolle, Alfred Ngomanda, Michel Mbasi, et al.
Forest Ecology and Management (2018) Vol. 430, pp. 228-240
Closed Access | Times Cited: 68
Artificial neural network application in comparison with modeling allometric equations for predicting above-ground biomass in the Hyrcanian mixed-beech forests of Iran
Ali Asghar Vahedi
Biomass and Bioenergy (2016) Vol. 88, pp. 66-76
Closed Access | Times Cited: 66
Allometric models for height and aboveground biomass of dominant tree species in South African Mistbelt forests
Sylvanus Mensah, Ruan Veldtman, Thomas Seifert
Southern Forests a Journal of Forest Science (2016) Vol. 79, Iss. 1, pp. 19-30
Closed Access | Times Cited: 61
Effects of stand age on tree biomass partitioning and allometric equations in Chinese fir (Cunninghamia lanceolata) plantations
Wenhua Xiang, Linhua Li, Shuai Ouyang, et al.
European Journal of Forest Research (2020) Vol. 140, Iss. 2, pp. 317-332
Closed Access | Times Cited: 51
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
Quantification of carbon sequestration by urban forest using Landsat 8 OLI and machine learning algorithms in Jodhpur, India
Swati Uniyal, Saurabh Purohit, Kuldeep Chaurasia, et al.
Urban forestry & urban greening (2021) Vol. 67, pp. 127445-127445
Closed Access | Times Cited: 41
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
Machine learning models for estimating above ground biomass of fast growing trees
Warakhom Wongchai, Thossaporn Onsree, Natthida Sukkam, et al.
Expert Systems with Applications (2022) Vol. 199, pp. 117186-117186
Closed Access | Times Cited: 22
Tree height-diameter, aboveground and belowground biomass allometries for two West African mangrove species
Serge M.G. Zanvo, Sylvanus Mensah, Kolawolé Valère Salako, et al.
Biomass and Bioenergy (2023) Vol. 176, pp. 106917-106917
Closed Access | Times Cited: 14
Assessment of stocking, productivity, and aboveground biomass of tree species used as fuelwood in Rwanda's agricultural landscapes
Elias Nelly Bapfakurera, Jean Nduwamungu, Gert Nyberg, et al.
Trees Forests and People (2024) Vol. 16, pp. 100552-100552
Open Access | Times Cited: 5
Multi-scale lidar measurements suggest miombo woodlands contain substantially more carbon than thought
Miro Demol, Naikoa Aguilar‐Amuchastegui, Gabija Bernotaite, et al.
Communications Earth & Environment (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 5
Simultaneous estimation of above- and below-ground biomass in tropical forests of Viet Nam
Karin Kralicek, Bao Huy, Krishna P. Poudel, et al.
Forest Ecology and Management (2017) Vol. 390, pp. 147-156
Closed Access | Times Cited: 44
Allometric Equations for Estimating Tree Aboveground Biomass in Tropical Dipterocarp Forests of Vietnam
Bao Huy, Krishna P. Poudel, Karin Kralicek, et al.
Forests (2016) Vol. 7, Iss. 8, pp. 180-180
Open Access | Times Cited: 39
Assessment of Bias in Pan-Tropical Biomass Predictions
Andrew Burt, Kim Calders, Aida Cuní‐Sanchez, et al.
Frontiers in Forests and Global Change (2020) Vol. 3
Open Access | Times Cited: 35
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