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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:

Tree Crown Delineation Algorithm Based on a Convolutional Neural Network
José Renato Garcia Braga, Vinícius Peripato, Ricardo Dalagnol, et al.
Remote Sensing (2020) Vol. 12, Iss. 8, pp. 1288-1288
Open Access | Times Cited: 102

Showing 1-25 of 102 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: 1128
Automated tree-crown and height detection in a young forest plantation using mask region-based convolutional neural network (Mask R-CNN)
Zhenbang Hao, Lili Lin, Christopher J. Post, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 178, pp. 112-123
Closed Access | Times Cited: 138
Growing status observation for oil palm trees using Unmanned Aerial Vehicle (UAV) images
Juepeng Zheng, Haohuan Fu, Weijia Li, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 173, pp. 95-121
Closed Access | Times Cited: 133
A Systematic Review of Individual Tree Crown Detection and Delineation with Convolutional Neural Networks (CNN)
Haotian Zhao, Justin Morgenroth, Grant D. Pearse, et al.
Current Forestry Reports (2023) Vol. 9, Iss. 3, pp. 149-170
Open Access | Times Cited: 42
Comparison of Classical Methods and Mask R-CNN for Automatic Tree Detection and Mapping Using UAV Imagery
Kunyong Yu, Zhenbang Hao, Christopher J. Post, et al.
Remote Sensing (2022) Vol. 14, Iss. 2, pp. 295-295
Open Access | Times Cited: 65
Multi-Species Individual Tree Segmentation and Identification Based on Improved Mask R-CNN and UAV Imagery in Mixed Forests
Chong Zhang, Jiawei Zhou, Huiwen Wang, et al.
Remote Sensing (2022) Vol. 14, Iss. 4, pp. 874-874
Open Access | Times Cited: 60
Deep learning-based individual tree crown delineation in mangrove forests using very-high-resolution satellite imagery
Guillaume Lassalle, Matheus Pinheiro Ferreira, Laura Elena Cué La Rosa, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 189, pp. 220-235
Open Access | Times Cited: 59
Deep learning enables image-based tree counting, crown segmentation, and height prediction at national scale
Sizhuo Li, Martin Brandt, Rasmus Fensholt, et al.
PNAS Nexus (2023) Vol. 2, Iss. 4
Open Access | Times Cited: 39
Individual tree crown delineation in high-resolution remote sensing images based on U-Net
Maximilian Freudenberg, Paul Magdon, Nils Nölke
Neural Computing and Applications (2022) Vol. 34, Iss. 24, pp. 22197-22207
Open Access | Times Cited: 38
Tree Crown Detection and Delineation in a Temperate Deciduous Forest from UAV RGB Imagery Using Deep Learning Approaches: Effects of Spatial Resolution and Species Characteristics
Yi Gan, Quan Wang, Atsuhiro Iio
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 778-778
Open Access | Times Cited: 35
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
Towards complete tree crown delineation by instance segmentation with Mask R–CNN and DETR using UAV-based multispectral imagery and lidar data
S. Dersch, Alfred Schöttl, Peter Krzystek, et al.
ISPRS Open Journal of Photogrammetry and Remote Sensing (2023) Vol. 8, pp. 100037-100037
Open Access | Times Cited: 24
Towards operational UAV-based forest health monitoring: Species identification and crown condition assessment by means of deep learning
Simon Ecke, Florian Stehr, Julian Frey, et al.
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108785-108785
Open Access | Times Cited: 10
Using U-Net-Like Deep Convolutional Neural Networks for Precise Tree Recognition in Very High Resolution RGB (Red, Green, Blue) Satellite Images
Kirill A. Korznikov, Dmitry E. Kislov, Jan Altman, et al.
Forests (2021) Vol. 12, Iss. 1, pp. 66-66
Open Access | Times Cited: 55
U-Net-Id, an Instance Segmentation Model for Building Extraction from Satellite Images—Case Study in the Joanópolis City, Brazil
Fabien Wagner, Ricardo Dalagnol, Yuliya Tarabalka, et al.
Remote Sensing (2020) Vol. 12, Iss. 10, pp. 1544-1544
Open Access | Times Cited: 50
Deep Convolutional Neural Network for Large-Scale Date Palm Tree Mapping from UAV-Based Images
Mohamed Barakat A. Gibril, Helmi Zulhaidi Mohd Shafri, Abdallah Shanableh, et al.
Remote Sensing (2021) Vol. 13, Iss. 14, pp. 2787-2787
Open Access | Times Cited: 42
Object-based classification of urban plant species from very high-resolution satellite imagery
Pierre Sicard, Fatimatou Coulibaly, Morgane Lameiro, et al.
Urban forestry & urban greening (2023) Vol. 81, pp. 127866-127866
Open Access | Times Cited: 16
Estimation of air pollution removal capacity by urban vegetation from very high-resolution satellite images in Lithuania
Valda Araminienė, Pierre Sicard, Valentinas Černiauskas, et al.
Urban Climate (2023) Vol. 51, pp. 101594-101594
Closed Access | Times Cited: 16
Individual Tree Species Identification for Complex Coniferous and Broad-Leaved Mixed Forests Based on Deep Learning Combined with UAV LiDAR Data and RGB Images
Hao Zhong, Zheyu Zhang, Haoran Liu, et al.
Forests (2024) Vol. 15, Iss. 2, pp. 293-293
Open Access | Times Cited: 6
Automatic Delineation and Height Measurement of Regenerating Conifer Crowns under Leaf-Off Conditions Using UAV Imagery
Andrew Chadwick, Tristan R.H. Goodbody, Nicholas C. Coops, et al.
Remote Sensing (2020) Vol. 12, Iss. 24, pp. 4104-4104
Open Access | Times Cited: 39
Evaluation of dimensionality reduction methods for individual tree crown delineation using instance segmentation network and UAV multispectral imagery in urban forest
Xiangshu Xi, Kai Xia, Yinhui Yang, et al.
Computers and Electronics in Agriculture (2021) Vol. 191, pp. 106506-106506
Closed Access | Times Cited: 36
Accurate mapping of Brazil nut trees (Bertholletia excelsa) in Amazonian forests using WorldView-3 satellite images and convolutional neural networks
Matheus Pinheiro Ferreira, R. Lotte, Francisco V. D’Elia, et al.
Ecological Informatics (2021) Vol. 63, pp. 101302-101302
Closed Access | Times Cited: 35
Detection of Bark Beetle Disturbance at Tree Level Using UAS Multispectral Imagery and Deep Learning
Robert Minařík, Jakub Langhammer, Theodora Lendzioch
Remote Sensing (2021) Vol. 13, Iss. 23, pp. 4768-4768
Open Access | Times Cited: 34
Instance segmentation of standing dead trees in dense forest from aerial imagery using deep learning
Abubakar Sani-Mohammed, Wei Yao, Marco Heurich
ISPRS Open Journal of Photogrammetry and Remote Sensing (2022) Vol. 6, pp. 100024-100024
Open Access | Times Cited: 25
Review on the Possibilities of Mapping Old-Growth Temperate Forests by Remote Sensing in Europe
Manuela Hirschmugl, Carina Sobe, Alfredo Di Filippo, et al.
Environmental Modeling & Assessment (2023) Vol. 28, Iss. 5, pp. 761-785
Open Access | Times Cited: 15
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