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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:

Intelligent Mapping of Urban Forests from High-Resolution Remotely Sensed Imagery Using Object-Based U-Net-DenseNet-Coupled Network
Shaobai He, Huaqiang Du, Guomo Zhou, et al.
Remote Sensing (2020) Vol. 12, Iss. 23, pp. 3928-3928
Open Access | Times Cited: 19

Showing 19 citing articles:

HRCNet: High-Resolution Context Extraction Network for Semantic Segmentation of Remote Sensing Images
Zhiyong Xu, Weicun Zhang, Tianxiang Zhang, et al.
Remote Sensing (2020) Vol. 13, Iss. 1, pp. 71-71
Open Access | Times Cited: 97
An automatic approach for tree species detection and profile estimation of urban street trees using deep learning and Google street view images
Kwanghun Choi, Wontaek Lim, Byungwoo Chang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 190, pp. 165-180
Closed Access | Times Cited: 51
Remote sensing monitoring of the spatiotemporal dynamics of urban forest phenology and its response to climate and urbanization
Mengchen Hu, Xuejian Li, Yanxin Xu, et al.
Urban Climate (2024) Vol. 53, pp. 101810-101810
Open Access | Times Cited: 11
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
Assessing Forest-Change-Induced Carbon Storage Dynamics by Integrating GF-1 Image and Localized Allometric Growth Equations in Jiangning District, Nanjing, Eastern China (2017–2020)
Jiawei Liu, Boxiang Yang, Mingshi Li, et al.
Forests (2024) Vol. 15, Iss. 3, pp. 506-506
Open Access | Times Cited: 4
Land-Unet: A deep learning network for precise segmentation and identification of non-structured land use types in rural areas for green urban space analysis
Shuicheng Yan, Junru Xie, Huiru Zhu, et al.
Ecological Informatics (2025), pp. 103078-103078
Open Access
Artificial intelligence in urban forestry—A systematic review
Henrique César de Lima Araújo, Fellipe Silva Martins, Tatiana Tucunduva Philippi Cortese, et al.
Urban forestry & urban greening (2021) Vol. 66, pp. 127410-127410
Closed Access | Times Cited: 25
A self-evolving deep learning algorithm for automatic oil spill detection in Sentinel-1 SAR images
Chenglei Li, Duk‐jin Kim, Soyeon Park, et al.
Remote Sensing of Environment (2023) Vol. 299, pp. 113872-113872
Open Access | Times Cited: 9
Optimized faster R-CNN for oil wells detection from high-resolution remote sensing images
Zhibao Wang, Lu Bai, Guangfu Song, et al.
International Journal of Remote Sensing (2023) Vol. 44, Iss. 22, pp. 6897-6928
Open Access | Times Cited: 9
UAV-Based Intelligent Detection of Individual Trees in Moso Bamboo Forests With Complex Canopy Structure
Lujin Lv, Yinyin Zhao, Xuejian Li, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 11915-11930
Open Access | Times Cited: 3
Remotely Sensed Tree Characterization in Urban Areas: A Review
Luisa Velasquez-Camacho, Adrián Cardíl, Midhun Mohan, et al.
Remote Sensing (2021) Vol. 13, Iss. 23, pp. 4889-4889
Open Access | Times Cited: 19
Mapping the Urban Atmospheric Carbon Stock by LiDAR and WorldView-3 Data
MD Abdul Mueed Choudhury, Ernesto Marcheggiani, Andrea Galli, et al.
Forests (2021) Vol. 12, Iss. 6, pp. 692-692
Open Access | Times Cited: 13
Multi-agent hyperspectral and lidar features fusion for urban vegetation mapping
Sahar Khoramak, Fatemeh Tabib Mahmoudi
Earth Science Informatics (2023) Vol. 16, Iss. 1, pp. 165-173
Closed Access | Times Cited: 4
Integration of Object-Based Image Analysis and Convolutional Neural Network for the Classification of High-Resolution Satellite Image: A Comparative Assessment
Omer Saud Azeez, Helmi Zulhaidi Mohd Shafri, Aidi Hizami Alias, et al.
Applied Sciences (2022) Vol. 12, Iss. 21, pp. 10890-10890
Open Access | Times Cited: 7
A Novel Query Strategy-Based Rank Batch-Mode Active Learning Method for High-Resolution Remote Sensing Image Classification
Xin Luo, Huaqiang Du, Guomo Zhou, et al.
Remote Sensing (2021) Vol. 13, Iss. 11, pp. 2234-2234
Open Access | Times Cited: 9
Superpixel-Based Style Transfer Method for Single-Temporal Remote Sensing Image Identification in Forest Type Groups
Zhenyu Yu, Jinnian Wang, Xiankun Yang, et al.
Remote Sensing (2023) Vol. 15, Iss. 15, pp. 3875-3875
Open Access | Times Cited: 2
A Joint Bayesian Optimization for the Classification of Fine Spatial Resolution Remotely Sensed Imagery Using Object-Based Convolutional Neural Networks
Omer Saud Azeez, Helmi Zulhaidi Mohd Shafri, Aidi Hizami Alias, et al.
Land (2022) Vol. 11, Iss. 11, pp. 1905-1905
Open Access | Times Cited: 3
Toward carbon neutral cities: A comparative analysis between Sentinel 2 and WorldView 3 satellite image processing for tree carbon stock mapping in Brussels
MD Abdul Mueed Choudhury, Ernesto Marcheggiani, Giuseppe Modica, et al.
Urban forestry & urban greening (2024) Vol. 101, pp. 128495-128495
Open Access
Advancing flood disaster management: leveraging deep learning and remote sensing technologies
Mohammad Roohi, Hamid Reza Ghafouri, Seyed Mohammad Ashrafi
Acta Geophysica (2024)
Closed Access
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