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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:

A Comparative Assessment of the Performance of Individual Tree Crowns Delineation Algorithms from ALS Data in Tropical Forests
Mélaine Aubry‐Kientz, Raphaël Dutrieux, António Ferraz, et al.
Remote Sensing (2019) Vol. 11, Iss. 9, pp. 1086-1086
Open Access | Times Cited: 98

Showing 1-25 of 98 citing articles:

Individual tree crown segmentation from airborne LiDAR data using a novel Gaussian filter and energy function minimization-based approach
Ting Yun, Kang Jiang, Guangchao Li, et al.
Remote Sensing of Environment (2021) Vol. 256, pp. 112307-112307
Closed Access | Times Cited: 121
Cross-site learning in deep learning RGB tree crown detection
Ben Weinstein, Sergio Marconi, Stephanie Bohlman, et al.
Ecological Informatics (2020) Vol. 56, pp. 101061-101061
Open Access | Times Cited: 116
DeepForest: A Python package for RGB deep learning tree crown delineation
Ben Weinstein, Sergio Marconi, Mélaine Aubry‐Kientz, et al.
Methods in Ecology and Evolution (2020) Vol. 11, Iss. 12, pp. 1743-1751
Open Access | Times Cited: 75
The shape of trees: Reimagining forest ecology in three dimensions with remote sensing
Emily R. Lines, Fabian Jörg Fischer, Harry Owen, et al.
Journal of Ecology (2022) Vol. 110, Iss. 8, pp. 1730-1745
Open Access | Times Cited: 63
A remote sensing derived data set of 100 million individual tree crowns for the National Ecological Observatory Network
Ben Weinstein, Sergio Marconi, Stephanie Bohlman, et al.
eLife (2021) Vol. 10
Open Access | Times Cited: 57
Segmentation of individual mangrove trees using UAV-based LiDAR data
Haotian You, Yao Liu, Peng Lei, et al.
Ecological Informatics (2023) Vol. 77, pp. 102200-102200
Open Access | Times Cited: 27
Accurate delineation of individual tree crowns in tropical forests from aerial RGB imagery using Mask R‐CNN
James Ball, Sebastian Hickman, Toby Jackson, et al.
Remote Sensing in Ecology and Conservation (2023) Vol. 9, Iss. 5, pp. 641-655
Open Access | Times Cited: 25
In situ biomass estimation at tree and plot levels: What did data record and what did algorithms derive from terrestrial and aerial point clouds in boreal forest
Yunsheng Wang, Jiri Pyörälä, Xinlian Liang, et al.
Remote Sensing of Environment (2019) Vol. 232, pp. 111309-111309
Open Access | Times Cited: 75
Tree Species Traits Determine the Success of LiDAR-Based Crown Mapping in a Mixed Temperate Forest
Jack Hastings, Scott V. Ollinger, Andrew P. Ouimette, et al.
Remote Sensing (2020) Vol. 12, Iss. 2, pp. 309-309
Open Access | Times Cited: 61
Approaches of Satellite Remote Sensing for the Assessment of Above-Ground Biomass across Tropical Forests: Pan-tropical to National Scales
Sawaid Abbas, Man Sing Wong, Jin Wu, et al.
Remote Sensing (2020) Vol. 12, Iss. 20, pp. 3351-3351
Open Access | Times Cited: 53
The Digital Forest: Mapping a Decade of Knowledge on Technological Applications for Forest Ecosystems
Sophie Nitoslawski, K. Wong‐Stevens, James W.N. Steenberg, et al.
Earth s Future (2021) Vol. 9, Iss. 8
Open Access | Times Cited: 53
Throughfall spatial variability in a neotropical forest: Have we correctly accounted for time stability?
André Ferreira Rodrigues, Marcela de Castro Nunes Santos Terra, Vanessa Alves Mantovani, et al.
Journal of Hydrology (2022) Vol. 608, pp. 127632-127632
Closed Access | Times Cited: 33
Multi-level self-adaptive individual tree detection for coniferous forest using airborne LiDAR
Zhenyang Hui, Penggen Cheng, Bisheng Yang, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 114, pp. 103028-103028
Open Access | Times Cited: 31
Variability of wood properties using airborne and terrestrial laser scanning
Jiri Pyörälä, Ninni Saarinen, Ville Kankare, et al.
Remote Sensing of Environment (2019) Vol. 235, pp. 111474-111474
Open Access | Times Cited: 48
3D Segmentation of Trees Through a Flexible Multiclass Graph Cut Algorithm
Jonathan Williams, Carola‐Bibiane Schönlieb, Tom Swinfield, et al.
IEEE Transactions on Geoscience and Remote Sensing (2019) Vol. 58, Iss. 2, pp. 754-776
Open Access | Times Cited: 45
Forest Emissions Reduction Assessment Using Optical Satellite Imagery and Space LiDAR Fusion for Carbon Stock Estimation
Yue Jiao, Dacheng Wang, Xiaojing Yao, et al.
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1410-1410
Open Access | Times Cited: 16
Supervised terrestrial to airborne laser scanner model calibration for 3D individual-tree attribute mapping using deep neural networks
Zhouxin Xi, Chris Hopkinson, L. Chasmer
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 209, pp. 324-343
Open Access | Times Cited: 5
Robust characterisation of forest structure from airborne laser scanning—A systematic assessment and sample workflow for ecologists
Fabian Jörg Fischer, Toby Jackson, Grégoire Vincent, et al.
Methods in Ecology and Evolution (2024) Vol. 15, Iss. 10, pp. 1873-1888
Open Access | Times Cited: 5
Supervised Segmentation of Ultra-High-Density Drone Lidar for Large-Area Mapping of Individual Trees
Martin Krůček, Kamil Král, K. C. Cushman, et al.
Remote Sensing (2020) Vol. 12, Iss. 19, pp. 3260-3260
Open Access | Times Cited: 38
Automatic Tree Crown Extraction from UAS Multispectral Imagery for the Detection of Bark Beetle Disturbance in Mixed Forests
Robert Minařík, Jakub Langhammer, Theodora Lendzioch
Remote Sensing (2020) Vol. 12, Iss. 24, pp. 4081-4081
Open Access | Times Cited: 35
A benchmark dataset for canopy crown detection and delineation in co-registered airborne RGB, LiDAR and hyperspectral imagery from the National Ecological Observation Network
Ben Weinstein, Sarah Graves, Sergio Marconi, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 7, pp. e1009180-e1009180
Open Access | Times Cited: 30
Mapping tree mortality rate in a tropical moist forest using multi-temporal LiDAR
Claudia Elizabeth Mora Huertas, Daniel Sabatier, Géraldine Derroire, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 109, pp. 102780-102780
Open Access | Times Cited: 19
Benchmarking airborne laser scanning tree segmentation algorithms in broadleaf forests shows high accuracy only for canopy trees
Yujie Cao, James Ball, David A. Coomes, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 123, pp. 103490-103490
Open Access | Times Cited: 12
Robust characterization of forest structure from airborne laser scanning – a systematic assessment and sample workflow for ecologists
Fabian Jörg Fischer, Toby Jackson, Grégoire Vincent, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 4
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
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