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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:

Individual tree crown detection from high spatial resolution imagery using a revised local maximum filtering
Xiaojun Xu, Zhongsheng Zhou, Yan Tang, et al.
Remote Sensing of Environment (2021) Vol. 258, pp. 112397-112397
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

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
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
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: 36
Surveying coconut trees using high-resolution satellite imagery in remote atolls of the Pacific Ocean
Juepeng Zheng, Shuai Yuan, Wenzhao Wu, et al.
Remote Sensing of Environment (2023) Vol. 287, pp. 113485-113485
Closed Access | Times Cited: 36
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
Segmentation of individual mangrove trees using UAV-based LiDAR data
Haotian You, Yao Liu, Peng Lei, et al.
Ecological Informatics (2023) Vol. 77, pp. 102200-102200
Open Access | Times Cited: 27
Automatic detection tree crown and height using Mask R-CNN based on unmanned aerial vehicles images for biomass mapping
Hancong Fu, Hengqian Zhao, Jinbao Jiang, et al.
Forest Ecology and Management (2024) Vol. 555, pp. 121712-121712
Closed Access | Times Cited: 9
Advancing Tree Detection in Forest Environments: A Deep Learning Object Detector Approach with UAV LiDAR Data
Sina Jarahizadeh, Bahram Salehi
Urban forestry & urban greening (2025), pp. 128695-128695
Closed 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
Road-Side Individual Tree Segmentation from Urban MLS Point Clouds Using Metric Learning
Pengcheng Wang, Yong Tang, Zefan Liao, et al.
Remote Sensing (2023) Vol. 15, Iss. 8, pp. 1992-1992
Open Access | Times Cited: 13
Tree Crown Segmentation and Diameter at Breast Height Prediction Based on BlendMask in Unmanned Aerial Vehicle Imagery
Jie Xu, Minbin Su, Yuxuan Sun, et al.
Remote Sensing (2024) Vol. 16, Iss. 2, pp. 368-368
Open Access | Times Cited: 5
Study on Individual Tree Segmentation of Different Tree Species Using Different Segmentation Algorithms Based on 3D UAV Data
Yao Liu, Haotian You, Xu Tang, et al.
Forests (2023) Vol. 14, Iss. 7, pp. 1327-1327
Open Access | Times Cited: 13
Protection of Coastal Shelter Forests Using UAVs: Individual Tree and Tree-Height Detection in Casuarina equisetifolia L. Forests
Lili Lin, Zhenbang Hao, Christopher J. Post, et al.
Forests (2023) Vol. 14, Iss. 2, pp. 233-233
Open Access | Times Cited: 12
Instance recognition of street trees from urban point clouds using a three-stage neural network
Tengping Jiang, Yongjun Wang, Shan Liu, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 199, pp. 305-334
Closed Access | Times Cited: 11
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
Improving the Individual Tree Parameters Estimation of a Complex Mixed Conifer—Broadleaf Forest Using a Combination of Structural, Textural, and Spectral Metrics Derived from Unmanned Aerial Vehicle RGB and Multispectral Imagery
Jeyavanan Karthigesu, Toshiaki Owari, Satoshi Tsuyuki, et al.
Geomatics (2025) Vol. 5, Iss. 1, pp. 12-12
Open 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
Super-resolution supporting individual tree detection and canopy stratification using half-meter aerial data
Zhu Mao, Omid Abdi, Jori Uusitalo, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2025) Vol. 224, pp. 251-271
Open Access
A Tree Crown Segmentation Approach for Unmanned Aerial Vehicle Remote Sensing Images on Field Programmable Gate Array (FPGA) Neural Network Accelerator
Jiayi Ma, Lingxiao Yan, Baozhe Chen, et al.
Sensors (2025) Vol. 25, Iss. 9, pp. 2729-2729
Open Access
UAV-Based LiDAR Scanning for Individual Tree Detection and Height Measurement in Young Forest Permanent Trials
Francisco Rodríguez, Esteban Gómez-García, Saray Martín-García, et al.
Remote Sensing (2021) Vol. 14, Iss. 1, pp. 170-170
Open Access | Times Cited: 21
Improving country-wide individual tree detection using local maxima methods based on statistically modeled forest structure information
Christoph Schaller, Christian Ginzler, E. Emiel van Loon, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 123, pp. 103480-103480
Open Access | Times Cited: 9
Tracking canopy gaps in mangroves remotely using deep learning
Guillaume Lassalle, Carlos Roberto de Souza Filho
Remote Sensing in Ecology and Conservation (2022) Vol. 8, Iss. 6, pp. 890-903
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
A novel solution for extracting individual tree crown parameters in high-density plantation considering inter-tree growth competition using terrestrial close-range scanning and photogrammetry technology
Guoqi Chai, Yufeng Zheng, Lingting Lei, et al.
Computers and Electronics in Agriculture (2023) Vol. 209, pp. 107849-107849
Closed Access | Times Cited: 7
Detecting and Mapping Individual Fruit Trees in Complex Natural Environments via UAV Remote Sensing and Optimized YOLOv5
Xiong Yong, Xiaofeng Zeng, Weiqian Lai, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 7554-7576
Open Access | Times Cited: 2
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