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:

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: 67

Showing 1-25 of 67 citing articles:

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: 60

Latest Trends on Tree Classification and Segmentation Using UAV Data—A Review of Agroforestry Applications
Babak Chehreh, Alexandra Moutinho, Carlos Viegas
Remote Sensing (2023) Vol. 15, Iss. 9, pp. 2263-2263
Open Access | Times Cited: 29

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

Validating GEDI tree canopy cover product across forest types using co-registered aerial LiDAR data
Xiao Li, Linyuan Li, Wenjian Ni, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 207, pp. 326-337
Closed Access | Times Cited: 10

Comparison of different computer vision methods for vineyard canopy detection using UAV multispectral images
Massimo Vincenzo Ferro, Claus Aage Grøn Sørensen, Pietro Catania
Computers and Electronics in Agriculture (2024) Vol. 225, pp. 109277-109277
Open Access | Times Cited: 10

A new unified framework for supervised 3D crown segmentation (TreeisoNet) using deep neural networks across airborne, UAV-borne, and terrestrial laser scans
Zhouxin Xi, Dani Degenhardt
ISPRS Open Journal of Photogrammetry and Remote Sensing (2025), pp. 100083-100083
Open Access | Times Cited: 1

Assessment of Pine Tree Crown Delineation Algorithms on UAV Data: From K-Means Clustering to CNN Segmentation
Ali Hosingholizade, Yousef Erfanifard, Seyed Kazem Alavipanah, et al.
Forests (2025) Vol. 16, Iss. 2, pp. 228-228
Open Access | Times Cited: 1

Tree-Level Chinese Fir Detection Using UAV RGB Imagery and YOLO-DCAM
Jiansen Wang, Huaiqing Zhang, Yang Liu, et al.
Remote Sensing (2024) Vol. 16, Iss. 2, pp. 335-335
Open Access | Times Cited: 6

A Review: Tree Species Classification Based on Remote Sensing Data and Classic Deep Learning-Based Methods
Lihui Zhong, Zhengquan Dai, Panfei Fang, et al.
Forests (2024) Vol. 15, Iss. 5, pp. 852-852
Open Access | Times Cited: 6

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

Early Detection of Dendroctonus valens Infestation at Tree Level with a Hyperspectral UAV Image
Bingtao Gao, Linfeng Yu, Lili Ren, et al.
Remote Sensing (2023) Vol. 15, Iss. 2, pp. 407-407
Open Access | Times Cited: 16

A Deep Learning Network for Individual Tree Segmentation in UAV Images with a Coupled CSPNet and Attention Mechanism
Lujin Lv, Xuejian Li, Fangjie Mao, et al.
Remote Sensing (2023) Vol. 15, Iss. 18, pp. 4420-4420
Open Access | Times Cited: 15

Cherry Tree Crown Extraction Using Machine Learning Based on Images from UAVs
Vasileios Moysiadis, Ilias Siniosoglou, George Kokkonis, et al.
Agriculture (2024) Vol. 14, Iss. 2, pp. 322-322
Open Access | Times Cited: 5

The Role of RPAS in Vegetation Height Estimation: Challenges and Future Perspectives in the Forestry Context
Francisco Moreira, Ivana Pires de Sousa-Baracho, Maria Luiza de Azevedo, et al.
Current Forestry Reports (2025) Vol. 11, Iss. 1
Closed Access

Beyond sRGB: Optimizing Object Detection with Diverse Color Spaces for Precise Wildfire Risk Assessment
Zhiyuan Yang, Shuo Cao, Michał Aibin
Remote Sensing (2025) Vol. 17, Iss. 9, pp. 1503-1503
Open Access

Automated Tree Detection Using Image Processing and Multisource Data
Grzegorz Dziczkowski, Barbara Probierz, Przemysław Juszczuk, et al.
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 667-667
Open Access

Detección Automática De Palmas Ceroxylon Mediante Aprendizaje Profundo En Un Área Protegida Del Amazonas (No Perú)
J. Vega, Jhonsy O. Silva-López, Rolando Salas López, et al.
(2025)
Closed Access

Research on the segmentation of individual trees and the extraction of structural parameters in eucalyptus plantations based on a TEMA mask R-CNN model
Runlian Huang, Jirong Ding, Zhaotong Ren, et al.
Journal of Forest Research (2025), pp. 1-12
Closed Access

Using a Region-Based Convolutional Neural Network (R-CNN) for Potato Segmentation in a Sorting Process
Jaka Verk, Jernej Hernavs, Simon Klančnik
Foods (2025) Vol. 14, Iss. 7, pp. 1131-1131
Open Access

Comparing Deep Learning and MCWST Approaches for Individual Tree Crown Segmentation
Wen Fan, Jiaojiao Tian, Jonas Troles, et al.
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (2024) Vol. X-1-2024, pp. 67-73
Open Access | Times Cited: 3

An assessment of image classifiers for generating machine-learning training samples for mapping the invasive Campuloclinium macrocephalum (Less.) DC (pompom weed) using DESIS hyperspectral imagery
Madodomzi Mafanya, Philemon Tsele, Tsungai A. Zengeya, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 185, pp. 188-200
Open Access | Times Cited: 14

A Novel Method for Detecting and Delineating Coppice Trees in UAV Images to Monitor Tree Decline
Marziye Ghasemi, Hooman Latifi, Mehdi Pourhashemi
Remote Sensing (2022) Vol. 14, Iss. 23, pp. 5910-5910
Open Access | Times Cited: 14

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