Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Fusing multi-season UAS images with convolutional neural networks to map tree species in Amazonian forests
Hudson Franklin Pessoa Veras, Matheus Pinheiro Ferreira, Ernandes Macedo da Cunha Neto, et al.
Ecological Informatics (2022) Vol. 71, pp. 101815-101815
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Large-Scale Date Palm Tree Segmentation from Multiscale UAV-Based and Aerial Images Using Deep Vision Transformers
Mohamed Barakat A. Gibril, Helmi Zulhaidi Mohd Shafri, Rami Al‐Ruzouq, et al.
Drones (2023) Vol. 7, Iss. 2, pp. 93-93
Open Access | Times Cited: 29
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
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
Influence of temperate forest autumn leaf phenology on segmentation of tree species from UAV imagery using deep learning
M. Cloutier, Mickaël Germain, Étienne Laliberté
Remote Sensing of Environment (2024) Vol. 311, pp. 114283-114283
Open Access | Times Cited: 5
Tree species recognition from close-range sensing: A review
Jianchang Chen, Xinlian Liang, Zhengjun Liu, et al.
Remote Sensing of Environment (2024) Vol. 313, pp. 114337-114337
Open Access | Times Cited: 5
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
Mapping the Distribution of High-Value Broadleaf Tree Crowns through Unmanned Aerial Vehicle Image Analysis Using Deep Learning
Nyo Me Htun, Toshiaki Owari, Satoshi Tsuyuki, et al.
Algorithms (2024) Vol. 17, Iss. 2, pp. 84-84
Open Access | Times Cited: 4
Monitoring the spatial–temporal distribution of invasive plant in urban water using deep learning and remote sensing technology
Zhenbang Hao, Lili Lin, Christopher J. Post, et al.
Ecological Indicators (2024) Vol. 162, pp. 112061-112061
Open Access | Times Cited: 4
An Improved Tree Crown Delineation Method Based on a Gradient Feature-Driven Expansion Process Using Airborne LiDAR Data
Jiaxuan Jia, Lei Wang, Kai Yin, et al.
Remote Sensing (2025) Vol. 17, Iss. 2, pp. 196-196
Open Access
Moving biodiversity from an afterthought to a key outcome of forest restoration
Pedro H. S. Brancalion, Fangyuan Hua, Francis H. Joyce, et al.
(2025)
Closed Access
Influence of data and methods on high-resolution imagery-based tree species recognition considering phenology: The case of temperate forests
Xinlian Liang, Jianchang Chen, Weishu Gong, et al.
Remote Sensing of Environment (2025) Vol. 323, pp. 114654-114654
Open Access
Tree trunk detection in urban scenes using a multiscale attention-based deep learning method
Rao Li, Guodong Sun, Sheng Wang, et al.
Ecological Informatics (2023) Vol. 77, pp. 102215-102215
Open Access | Times Cited: 9
Improved Identification of Forest Types in the Loess Plateau Using Multi-Source Remote Sensing Data, Transfer Learning, and Neural Residual Networks
Mei Zhang, Daihao Yin, Zhen Li, et al.
Remote Sensing (2024) Vol. 16, Iss. 12, pp. 2096-2096
Open Access | Times Cited: 3
The co-effect of image resolution and crown size on deep learning for individual tree detection and delineation
Zhenbang Hao, Lili Lin, Christopher J. Post, et al.
International Journal of Digital Earth (2023) Vol. 16, Iss. 1, pp. 3753-3771
Open Access | Times Cited: 7
Detecting Canopy Gaps in Uneven-Aged Mixed Forests through the Combined Use of Unmanned Aerial Vehicle Imagery and Deep Learning
Nyo Me Htun, Toshiaki Owari, Satoshi Tsuyuki, et al.
Drones (2024) Vol. 8, Iss. 9, pp. 484-484
Open Access | Times Cited: 2
Tree Species Classification by Multi-Season Collected UAV Imagery in a Mixed Cool-Temperate Mountain Forest
Ram Avtar, Xinyu Chen, Jin-Jin Fu, et al.
Remote Sensing (2024) Vol. 16, Iss. 21, pp. 4060-4060
Open Access | Times Cited: 2
A forestry investigation: Exploring factors behind improved tree species classification using bark images
Gokul Kottilapurath Surendran, Deekshitha, Martin Lukáč, et al.
Ecological Informatics (2024), pp. 102932-102932
Open Access | Times Cited: 2
Capturing long‐tailed individual tree diversity using an airborne imaging and a multi‐temporal hierarchical model
Ben Weinstein, Sergio Marconi, Sarah Graves, et al.
Remote Sensing in Ecology and Conservation (2023) Vol. 9, Iss. 5, pp. 656-670
Open Access | Times Cited: 6
Influence of Temperate Forest Autumn Leaf Phenology on Segmentation of Tree Species from UAV Imagery Using Deep Learning
M. Cloutier, Mickaël Germain, Étienne Laliberté
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6
Classification of invasive tree species based on the seasonal dynamics of the spectral characteristics of their leaves
Pavel Dmitriev, Boris L. Kozlovsky, Anastasiya A. Dmitrieva, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 4, pp. 3729-3743
Closed Access | Times Cited: 6
Evaluating the effects of texture features on Pinus sylvestris classification using high-resolution aerial imagery
Fırat Erdem, Onur Can Bayrak
Ecological Informatics (2023) Vol. 78, pp. 102389-102389
Closed Access | Times Cited: 5
Consumer-grade UAV imagery facilitates semantic segmentation of species-rich savanna tree layers
Manuel Popp, Jesse M. Kalwij
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 4
Tree Species Classification from Uav Canopy Images with Deep Learning Models
Yunmei Huang, Botong Ou, Kexin Meng, et al.
(2024)
Closed Access | Times Cited: 1
Individual canopy tree species maps for the National Ecological Observatory Network
Ben Weinstein, Sergio Marconi, Alina Zare, et al.
PLoS Biology (2024) Vol. 22, Iss. 7, pp. e3002700-e3002700
Open Access | Times Cited: 1
A Robust Dual-Mode Machine Learning Framework for Classifying Deforestation Patterns in Amazon Native Lands
Julia Rodrigues, Maurìcio Araújo Dias, Rogério Galante Negri, et al.
Land (2024) Vol. 13, Iss. 9, pp. 1427-1427
Open Access | Times Cited: 1
Page 1 - Next Page

Scroll to top