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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:

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

Showing 1-25 of 147 citing articles:

Terrestrial laser scanning in forest ecology: Expanding the horizon
Kim Calders, Jennifer Adams, John Armston, et al.
Remote Sensing of Environment (2020) Vol. 251, pp. 112102-112102
Open Access | Times Cited: 353
Non-destructive tree volume estimation through quantitative structure modelling: Comparing UAV laser scanning with terrestrial LIDAR
Benjamin Brede, Kim Calders, Alvaro Lau, et al.
Remote Sensing of Environment (2019) Vol. 233, pp. 111355-111355
Closed Access | Times Cited: 172
Leaf and wood classification framework for terrestrial LiDAR point clouds
Matheus Boni Vicari, Mathias Disney, Phil Wilkes, et al.
Methods in Ecology and Evolution (2019) Vol. 10, Iss. 5, pp. 680-694
Open Access | Times Cited: 157
LiDAR Applications to Estimate Forest Biomass at Individual Tree Scale: Opportunities, Challenges and Future Perspectives
Dandan Xu, Haobin Wang, Weixin Xu, et al.
Forests (2021) Vol. 12, Iss. 5, pp. 550-550
Open Access | Times Cited: 112
Non-destructive estimation of individual tree biomass: Allometric models, terrestrial and UAV laser scanning
Benjamin Brede, Louise Terryn, Nicolas Barbier, et al.
Remote Sensing of Environment (2022) Vol. 280, pp. 113180-113180
Open Access | Times Cited: 90
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
Status, advancements and prospects of deep learning methods applied in forest studies
Ting Yun, Jian Li, Lingfei Ma, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 131, pp. 103938-103938
Open Access | Times Cited: 34
New Opportunities for Forest Remote Sensing Through Ultra-High-Density Drone Lidar
James R. Kellner, John Armston, Markus Birrer, et al.
Surveys in Geophysics (2019) Vol. 40, Iss. 4, pp. 959-977
Open Access | Times Cited: 139
Terrestrial LiDAR: a three‐dimensional revolution in how we look at trees
Mathias Disney
New Phytologist (2018) Vol. 222, Iss. 4, pp. 1736-1741
Open Access | Times Cited: 130
Quantifying branch architecture of tropical trees using terrestrial LiDAR and 3D modelling
Alvaro Lau, Lisa Patrick Bentley, Christopher Martius, et al.
Trees (2018) Vol. 32, Iss. 5, pp. 1219-1231
Open Access | Times Cited: 129
LeWoS: A universal leaf‐wood classification method to facilitate the 3D modelling of large tropical trees using terrestrial LiDAR
Di Wang, Stéphane Momo Takoudjou, Eric Casella
Methods in Ecology and Evolution (2019) Vol. 11, Iss. 3, pp. 376-389
Closed Access | Times Cited: 125
Quantifying 3D structure and occlusion in dense tropical and temperate forests using close-range LiDAR
Fabian Schneider, Daniel Kükenbrink, Michael E. Schaepman, et al.
Agricultural and Forest Meteorology (2019) Vol. 268, pp. 249-257
Closed Access | Times Cited: 116
Upscaling Forest Biomass from Field to Satellite Measurements: Sources of Errors and Ways to Reduce Them
Maxime Réjou‐Méchain, Nicolas Barbier, Pierre Couteron, et al.
Surveys in Geophysics (2019) Vol. 40, Iss. 4, pp. 881-911
Closed Access | Times Cited: 100
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
AdQSM: A New Method for Estimating Above-Ground Biomass from TLS Point Clouds
Guangpeng Fan, Liangliang Nan, Yanqi Dong, et al.
Remote Sensing (2020) Vol. 12, Iss. 18, pp. 3089-3089
Open Access | Times Cited: 86
Unsupervised semantic and instance segmentation of forest point clouds
Di Wang
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 165, pp. 86-97
Closed Access | Times Cited: 84
Tackling unresolved questions in forest ecology: The past and future role of simulation models
Isabelle Maréchaux, Fanny Langerwisch, Andreas Huth, et al.
Ecology and Evolution (2021) Vol. 11, Iss. 9, pp. 3746-3770
Open Access | Times Cited: 72
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
Volumetric overestimation of small branches in 3D reconstructions of <i>Fraxinus excelsior</i>
Miro Demol, Phil Wilkes, Pasi Raumonen, et al.
Silva Fennica (2022) Vol. 56, Iss. 1
Open Access | Times Cited: 43
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
Tree species classification using structural features derived from terrestrial laser scanning
Louise Terryn, Kim Calders, Mathias Disney, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 168, pp. 170-181
Open Access | Times Cited: 64
Estimating architecture-based metabolic scaling exponents of tropical trees using terrestrial LiDAR and 3D modelling
Alvaro Lau, Christopher Martius, Harm Bartholomeus, et al.
Forest Ecology and Management (2019) Vol. 439, pp. 132-145
Closed Access | Times Cited: 57
Improving plant allometry by fusing forest models and remote sensing
Fabian Jörg Fischer, Isabelle Maréchaux, Jérôme Chave
New Phytologist (2019) Vol. 223, Iss. 3, pp. 1159-1165
Open Access | Times Cited: 57
Tree Biomass Equations from Terrestrial LiDAR: A Case Study in Guyana
Alvaro Lau, Kim Calders, Harm Bartholomeus, et al.
Forests (2019) Vol. 10, Iss. 6, pp. 527-527
Open Access | Times Cited: 57
Non-destructive estimation of field maize biomass using terrestrial lidar: an evaluation from plot level to individual leaf level
Shichao Jin, Yanjun Su, Shilin Song, et al.
Plant Methods (2020) Vol. 16, Iss. 1
Open Access | Times Cited: 54
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