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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:

Reducing the error in biomass estimates strongly depends on model selection
Nicolas Picard, Faustin Boyemba Bosela, Vivien Rossi
Annals of Forest Science (2014) Vol. 72, Iss. 6, pp. 811-823
Open Access | Times Cited: 84

Showing 1-25 of 84 citing articles:

Using terrestrial laser scanning data to estimate large tropical trees biomass and calibrate allometric models: A comparison with traditional destructive approach
Stéphane Momo Takoudjou, Pierre Ploton, Bonaventure Sonké, et al.
Methods in Ecology and Evolution (2017) Vol. 9, Iss. 4, pp. 905-916
Open Access | Times Cited: 147
Limitations of estimating branch volume from terrestrial laser scanning
Christopher Morhart, Zoe Schindler, Julian Frey, et al.
European Journal of Forest Research (2024) Vol. 143, Iss. 2, pp. 687-702
Open Access | Times Cited: 14
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
A Review of Regional and Global Gridded Forest Biomass Datasets
Yuzhen Zhang, Shunlin Liang, Lu Yang
Remote Sensing (2019) Vol. 11, Iss. 23, pp. 2744-2744
Open Access | Times Cited: 61
A Review of General Methods for Quantifying and Estimating Urban Trees and Biomass
Mingxia Yang, Xiaolu Zhou, Zelin Liu, et al.
Forests (2022) Vol. 13, Iss. 4, pp. 616-616
Open Access | Times Cited: 33
Aboveground biomass partitioning and additive models for Combretum glutinosum and Terminalia laxiflora in West Africa
Kangbéni Dimobe, Sylvanus Mensah, Dethardt Goetze, et al.
Biomass and Bioenergy (2018) Vol. 115, pp. 151-159
Closed Access | Times Cited: 53
Improving uncertainty in forest carbon accounting for REDD+ mitigation efforts
Ruth D. Yanai, Craig Wayson, David Lee, et al.
Environmental Research Letters (2020) Vol. 15, Iss. 12, pp. 124002-124002
Open Access | Times Cited: 40
New insights into large tropical tree mass and structure from direct harvest and terrestrial lidar
Andrew Burt, Matheus Boni Vicari, Antônio C. L. da Costa, et al.
Royal Society Open Science (2021) Vol. 8, Iss. 2
Open Access | Times Cited: 38
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
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: 36
Allometric models for improving aboveground biomass estimates in West African savanna ecosystems
Moussa Ganamé, Philippe Bayen, Issaka Ouédraogo, et al.
Trees Forests and People (2021) Vol. 4, pp. 100077-100077
Open Access | Times Cited: 29
Forest carbon stock and biomass estimation in West Central India using two allometric models
Onkar Salunkhe, Gouri Ramesh Valvi, Sarnam Singh, et al.
Carbon Research (2023) Vol. 2, Iss. 1
Open Access | Times Cited: 12
Development of allometric models for above and belowground biomass in swidden cultivation fallows of Northern Laos
Iain M. McNicol, Nicholas Berry, Thilde Bech Bruun, et al.
Forest Ecology and Management (2015) Vol. 357, pp. 104-116
Closed Access | Times Cited: 35
Drones and machine learning for estimating forest carbon storage
Sadikshya Sharma, Sambandh Bhusan Dhal, Tapas Rout, et al.
Carbon Research (2022) Vol. 1, Iss. 1
Open Access | Times Cited: 18
Comparing effects of uncertainty in predictions of local and pantropical allometric models on large-area estimates for mean aboveground biomass per unit area
Laio Zimermann Oliveira, Ronald E. McRoberts, Alexander Christian Vibrans, et al.
Forestry An International Journal of Forest Research (2025)
Closed Access
Mapping Tropical Forested Wetlands Biomass with LiDAR: A Machine Learning Comparison
Jonathan V. Solórzano, Candelario Peralta-Carreta, J. Alberto Gallardo-Cruz
Remote Sensing (2025) Vol. 17, Iss. 6, pp. 1076-1076
Open Access
Site-Specific Allometric Models for Prediction of Above-and Belowground Biomass of Subtropical Forests in Guangzhou, Southern China
Houben Zhao, Zhaojia Li, Guangyi Zhou, et al.
Forests (2019) Vol. 10, Iss. 10, pp. 862-862
Open Access | Times Cited: 27
Models for estimating aboveground biomass of four dryland woody species in Burkina Faso, West Africa
Philippe Bayen, Florent Noulèkoun, Fidèle Bognounou, et al.
Journal of Arid Environments (2020) Vol. 180, pp. 104205-104205
Closed Access | Times Cited: 26
Recommendations for the use of tree models to estimate national forest biomass and assess their uncertainty
Matieu Henry, Miguel Cifuentes, Maxime Réjou‐Méchain, et al.
Annals of Forest Science (2015) Vol. 72, Iss. 6, pp. 769-777
Open Access | Times Cited: 28
Spatially-Explicit Testing of a General Aboveground Carbon Density Estimation Model in a Western Amazonian Forest Using Airborne LiDAR
Patricio Molina, Gregory P. Asner, Mercedes Farjas Abadía, et al.
Remote Sensing (2015) Vol. 8, Iss. 1, pp. 9-9
Open Access | Times Cited: 25
Using volume-weighted average wood specific gravity of trees reduces bias in aboveground biomass predictions from forest volume data
Le Bienfaiteur Sagang, Stéphane Momo Takoudjou, Moses Bakonck Libalah, et al.
Forest Ecology and Management (2018) Vol. 424, pp. 519-528
Closed Access | Times Cited: 25
Forest structure and individual tree inventories of northeastern Siberia along climatic gradients
Timon Miesner, Ulrike Herzschuh, Luidmila A. Pestryakova, et al.
Earth system science data (2022) Vol. 14, Iss. 12, pp. 5695-5716
Open Access | Times Cited: 12
Non-Destructive Allometric Modeling for Tree Volume Estimation in Tropical Dry Deciduous Forests of India Using Terrestrial Laser Scanner
Suraj Reddy Rodda, ‪Rama Rao Nidamanuri, T. Mayamanikandan, et al.
Journal of the Indian Society of Remote Sensing (2023) Vol. 52, Iss. 4, pp. 825-839
Closed Access | Times Cited: 7
Community assessment of tropical tree biomass: challenges and opportunities for REDD+
Ida Theilade, Ervan Rutishauser, Michael K. Poulsen
Carbon Balance and Management (2015) Vol. 10, Iss. 1
Open Access | Times Cited: 19
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