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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:

The Use of Three-Dimensional Convolutional Neural Networks to Interpret LiDAR for Forest Inventory
Elias Ayrey, Daniel J. Hayes
Remote Sensing (2018) Vol. 10, Iss. 4, pp. 649-649
Open Access | Times Cited: 86

Showing 1-25 of 86 citing articles:

Review on Convolutional Neural Networks (CNN) in vegetation remote sensing
Teja Kattenborn, Jens Leitloff, Felix Schiefer, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 173, pp. 24-49
Open Access | Times Cited: 1178
Individual Tree-Crown Detection in RGB Imagery Using Semi-Supervised Deep Learning Neural Networks
Ben Weinstein, Sergio Marconi, Stephanie Bohlman, et al.
Remote Sensing (2019) Vol. 11, Iss. 11, pp. 1309-1309
Open Access | Times Cited: 224
Uncovering Ecological Patterns with Convolutional Neural Networks
Philip G. Brodrick, Andrew B. Davies, Gregory P. Asner
Trends in Ecology & Evolution (2019) Vol. 34, Iss. 8, pp. 734-745
Closed Access | Times Cited: 149
Individual Tree-Crown Detection in RGB Imagery Using Semi-Supervised Deep Learning Neural Networks
Ben Weinstein, Sergio Marconi, Stephanie Bohlman, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 109
Detection, Segmentation, and Model Fitting of Individual Tree Stems from Airborne Laser Scanning of Forests Using Deep Learning
Lloyd Windrim, Mitch Bryson
Remote Sensing (2020) Vol. 12, Iss. 9, pp. 1469-1469
Open Access | Times Cited: 92
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: 64
Deep learning for forest inventory and planning: a critical review on the remote sensing approaches so far and prospects for further applications
Alireza Hamedianfar, Cheikh Mohamedou, Annika Kangas, et al.
Forestry An International Journal of Forest Research (2022) Vol. 95, Iss. 4, pp. 451-465
Open Access | Times Cited: 43
Automatic Windthrow Detection Using Very-High-Resolution Satellite Imagery and Deep Learning
Dmitry E. Kislov, Kirill A. Korznikov
Remote Sensing (2020) Vol. 12, Iss. 7, pp. 1145-1145
Open Access | Times Cited: 56
Sensor Agnostic Semantic Segmentation of Structurally Diverse and Complex Forest Point Clouds Using Deep Learning
Sean Krisanski, Mohammad Sadegh Taskhiri, Susana Gonzalez Aracil, et al.
Remote Sensing (2021) Vol. 13, Iss. 8, pp. 1413-1413
Open Access | Times Cited: 56
Forest Structural Complexity Tool—An Open Source, Fully-Automated Tool for Measuring Forest Point Clouds
Sean Krisanski, Mohammad Sadegh Taskhiri, Susana Gonzalez Aracil, et al.
Remote Sensing (2021) Vol. 13, Iss. 22, pp. 4677-4677
Open Access | Times Cited: 38
Estimation of tropical forest aboveground biomass in Nepal using multiple remotely sensed data and deep learning
Parvez Rana, Sorin C. Popescu, Anne Tolvanen, et al.
International Journal of Remote Sensing (2023) Vol. 44, Iss. 17, pp. 5147-5171
Open Access | Times Cited: 14
Individual tree detection in large-scale urban environments using high-resolution multispectral imagery
Jonathan Ventura, Camille Pawlak, Milo Honsberger, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 130, pp. 103848-103848
Open Access | Times Cited: 6
An Improved Convolution Neural Network-Based Model for Classifying Foliage and Woody Components from Terrestrial Laser Scanning Data
Bingxiao Wu, Guang Zheng, Chen Yang
Remote Sensing (2020) Vol. 12, Iss. 6, pp. 1010-1010
Open Access | Times Cited: 34
Neural-Based Hierarchical Approach for Detailed Dominant Forest Species Classification by Multispectral Satellite Imagery
Svetlana Illarionova, Alexey Trekin, Vladimir Ignatiev, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2020) Vol. 14, pp. 1810-1820
Open Access | Times Cited: 33
Comparison of Forest Inventory Methods at Plot-Level between a Backpack Personal Laser Scanning (BPLS) and Conventional Equipment in Jeju Island, South Korea
Chi-Ung Ko, Seunghyun Lee, Jong-Su Yim, et al.
Forests (2021) Vol. 12, Iss. 3, pp. 308-308
Open Access | Times Cited: 30
Evaluating deep learning methods applied to Landsat time series subsequences to detect and classify boreal forest disturbances events: The challenge of partial and progressive disturbances
Pauline Perbet, Luc Guindon, Jean-François Côté, et al.
Remote Sensing of Environment (2024) Vol. 306, pp. 114107-114107
Open Access | Times Cited: 4
Terrestrial Laser Scanning (TLS) for tree structure studies: a review of methods for wood-leaf classifications from 3D point clouds
Stefano Arrizza, Susanna Marras, Roberto Ferrara, et al.
Remote Sensing Applications Society and Environment (2024), pp. 101364-101364
Open Access | Times Cited: 4
Identifying Tree-Related Microhabitats in TLS Point Clouds Using Machine Learning
Nataliia Rehush, Meinrad Abegg, Lars T. Waser‬, et al.
Remote Sensing (2018) Vol. 10, Iss. 11, pp. 1735-1735
Open Access | Times Cited: 35
The Use of Remotely Sensed Data and Polish NFI Plots for Prediction of Growing Stock Volume Using Different Predictive Methods
Paweł Hawryło, Saverio Francini, Gherardo Chirici, et al.
Remote Sensing (2020) Vol. 12, Iss. 20, pp. 3331-3331
Open Access | Times Cited: 31
The Effect of Synergistic Approaches of Features and Ensemble Learning Algorithms on Aboveground Biomass Estimation of Natural Secondary Forests Based on ALS and Landsat 8
Chunyu Du, Wenyi Fan, Ye Ma, et al.
Sensors (2021) Vol. 21, Iss. 17, pp. 5974-5974
Open Access | Times Cited: 25
Semantic segmentation of point cloud data using raw laser scanner measurements and deep neural networks
Risto Kaijaluoto, Antero Kukko, Aimad El Issaoui, et al.
ISPRS Open Journal of Photogrammetry and Remote Sensing (2021) Vol. 3, pp. 100011-100011
Open Access | Times Cited: 24
Data-Driven Framework for Understanding and Predicting Air Quality in Urban Areas
Lakshmi Babu Saheer, Ajay Bhasy, Mahdi Maktabdar, et al.
Frontiers in Big Data (2022) Vol. 5
Open Access | Times Cited: 17
Using Synthetic Tree Data in Deep Learning-Based Tree Segmentation Using LiDAR Point Clouds
Mitch Bryson, Feiyu Wang, James Allworth
Remote Sensing (2023) Vol. 15, Iss. 9, pp. 2380-2380
Open Access | Times Cited: 11
LWSNet: A Point-Based Segmentation Network for Leaf-Wood Separation of Individual Trees
Tengping Jiang, Qinyu Zhang, Shan Liu, et al.
Forests (2023) Vol. 14, Iss. 7, pp. 1303-1303
Open Access | Times Cited: 11
Assessing the effect of ensemble learning algorithms and validation approach on estimating forest aboveground biomass: a case study of natural secondary forest in Northeast China
Hung-Il Jin, Yinghui Zhao, Unil Pak, et al.
Geo-spatial Information Science (2024), pp. 1-20
Open Access | Times Cited: 4
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