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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 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

Showing 1-25 of 57 citing articles:

Towards the fully automated monitoring of ecological communities
Marc Besson, Jamie Alison, Kim Bjerge, et al.
Ecology Letters (2022) Vol. 25, Iss. 12, pp. 2753-2775
Open Access | Times Cited: 144
Individual Tree-Crown Detection and Species Identification in Heterogeneous Forests Using Aerial RGB Imagery and Deep Learning
Mirela Beloiu, Lucca Heinzmann, Nataliia Rehush, et al.
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1463-1463
Open Access | Times Cited: 46
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: 61
TreeSatAI Benchmark Archive: a multi-sensor, multi-label dataset for tree species classification in remote sensing
Steve Ahlswede, Christian Schulz, Christiano Gava, et al.
Earth system science data (2023) Vol. 15, Iss. 2, pp. 681-695
Open Access | Times Cited: 29
Change-Aware Sampling and Contrastive Learning for Satellite Images
Utkarsh Mall, Bharath Hariharan, Kavita Bala
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 5261-5270
Closed Access | Times Cited: 26
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
OpenForest: a data catalog for machine learning in forest monitoring
Arthur Ouaknine, Teja Kattenborn, Étienne Laliberté, et al.
Environmental Data Science (2025) Vol. 4
Open Access | Times Cited: 1
Continental-scale hyperspectral tree species classification in the United States National Ecological Observatory Network
Sergio Marconi, Ben Weinstein, Sheng Zou, et al.
Remote Sensing of Environment (2022) Vol. 282, pp. 113264-113264
Open Access | Times Cited: 33
The Auto Arborist Dataset: A Large-Scale Benchmark for Multiview Urban Forest Monitoring Under Domain Shift
Sara Beery, Guanhang Wu, T.J. Edwards, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 21262-21275
Closed Access | Times Cited: 29
Optimizing aerial imagery collection and processing parameters for drone‐based individual tree mapping in structurally complex conifer forests
Derek J. N. Young, Michael J. Koontz, JonahMaria Weeks
Methods in Ecology and Evolution (2022) Vol. 13, Iss. 7, pp. 1447-1463
Open Access | Times Cited: 25
Tree species identity shapes the relationship between canopy cover and herb‐layer species in temperate forests
Clément Vallé, Isabelle Le Viol, Jean Nabias, et al.
Journal of Ecology (2025)
Open Access
Quantifying effectiveness of trees for landslide erosion control
Raphael Spiekermann, Hugh G. Smith, Sam McColl, et al.
Geomorphology (2021) Vol. 396, pp. 107993-107993
Closed Access | Times Cited: 32
UAV-Based Computer Vision System for Orchard Apple Tree Detection and Health Assessment
Hela Jemaa, Wassim Bouachir, Brigitte Leblon, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3558-3558
Open Access | Times Cited: 12
Deep learning-based prediction of plant height and crown area of vegetable crops using LiDAR point cloud
J Reji, ‪Rama Rao Nidamanuri
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Recommendations for developing, documenting, and distributing data products derived from NEON data
Jeff W. Atkins, Kelly S. Aho, Xuan Chen, et al.
Ecosphere (2025) Vol. 16, Iss. 1
Open Access
Detection transformer-based approach for mapping trees outside forests on high resolution satellite imagery
Tao Jiang, Maximilian Freudenberg, Christoph Kleinn, et al.
Ecological Informatics (2025), pp. 103114-103114
Open Access
Forest canopy height variation in relation to topography and forest types in central Japan with LiDAR
Md. Farhadur Rahman, Yusuke Onoda, Kaoru Kitajima
Forest Ecology and Management (2021) Vol. 503, pp. 119792-119792
Closed Access | Times Cited: 25
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting
Justin Kay, Peter Kulits, Suzanne Stathatos, et al.
Lecture notes in computer science (2022), pp. 290-311
Open Access | Times Cited: 16
Individual tree-based vs pixel-based approaches to mapping forest functional traits and diversity by remote sensing
Zhaoju Zheng, Yuan Zeng, Meredith C. Schuman, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 114, pp. 103074-103074
Open Access | Times Cited: 14
Developing nondestructive species‐specific tree allometry with terrestrial laser scanning
Atticus Stovall, Anthony G. Vorster, Ryan Anderson, et al.
Methods in Ecology and Evolution (2022) Vol. 14, Iss. 1, pp. 280-290
Open Access | Times Cited: 13
Blockchain and regenerative finance: charting a path toward regeneration
Marco Schletz, Axel Constant, Angel Hsu, et al.
Frontiers in Blockchain (2023) Vol. 6
Open Access | Times Cited: 7
Advancing terrestrial biodiversity monitoring with satellite remote sensing in the context of the Kunming-Montreal global biodiversity framework
Joris Timmermans, W. Daniel Kissling
Ecological Indicators (2023) Vol. 154, pp. 110773-110773
Open Access | Times Cited: 7
High-resolution data reveal a surge of biomass loss from temperate and Atlantic pine forests, contextualizing the 2022 fire season distinctiveness in France
Lilian Vallet, Martin Schwartz, Philippe Ciais, et al.
Biogeosciences (2023) Vol. 20, Iss. 18, pp. 3803-3825
Open Access | Times Cited: 7
Geo‐Foundation Models
Gengchen Mai
International Encyclopedia of Geography (2024), pp. 1-14
Closed Access | Times Cited: 2
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