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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 Segmentation Method Based on Mobile Backpack LiDAR Point Clouds
Lino Comesaña-Cebral, J. Martínez-Sánchez, Henrique Lorenzo, et al.
Sensors (2021) Vol. 21, Iss. 18, pp. 6007-6007
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Assessing the Performance of a Handheld Laser Scanning System for Individual Tree Mapping—A Mixed Forests Showcase in Spain
Frederico Tupinambá‐Simões, Adrián Pascual, Juan Guerra-Hernández, et al.
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1169-1169
Open Access | Times Cited: 24
Segmenting Individual Tree from TLS Point Clouds Using Improved DBSCAN
Hongping Fu, Hao Li, Yanqi Dong, et al.
Forests (2022) Vol. 13, Iss. 4, pp. 566-566
Open Access | Times Cited: 31
Deep Semantic Segmentation of Trees Using Multispectral Images
İrem Ülkü, Erdem Akagündüz, Pedram Ghamisi
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 15, pp. 7589-7604
Open Access | Times Cited: 27
An Individual Tree Detection and Segmentation Method from TLS and MLS Point Clouds Based on Improved Seed Points
Qiuji Chen, Hao Luo, Cheng Yan, et al.
Forests (2024) Vol. 15, Iss. 7, pp. 1083-1083
Open Access | Times Cited: 6
Banana Individual Segmentation and Phenotypic Parameter Measurements Using Deep Learning and Terrestrial LiDAR
Chao Ma, Juan Wang, Tiwei Zeng, et al.
IEEE Access (2024) Vol. 12, pp. 50310-50320
Open Access | Times Cited: 4
Anomaly Detection in Automotive Industry Using Clustering Methods—A Case Study
Márcio Guerreiro, Eliana Maria Andriani Guerreiro, Tathiana M. Barchi, et al.
Applied Sciences (2021) Vol. 11, Iss. 21, pp. 9868-9868
Open Access | Times Cited: 22
Community-based plant diversity monitoring of a dense-canopy and species-rich tropical forest using airborne LiDAR data
Ka Hei Anson Yip, Rui Liu, Jin Wu, et al.
Ecological Indicators (2023) Vol. 158, pp. 111346-111346
Open Access | Times Cited: 9
A comprehensive review on application of drone, virtual reality and augmented reality with their application in dragline excavation monitoring in surface mines
Piyush Singh, Vmsr Murthy, Dheeraj Kumar, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 3
Wildfire response of forest species from multispectral LiDAR data. A deep learning approach with synthetic data
Lino Comesaña-Cebral, J. Martínez-Sánchez, Gabriel E. Suárez-Fernández, et al.
Ecological Informatics (2024) Vol. 81, pp. 102612-102612
Open Access | Times Cited: 3
Comparative Evaluation of a Newly Developed Trunk-Based Tree Detection/Localization Strategy on Leaf-Off LiDAR Point Clouds with Varying Characteristics
Tian Zhou, Renato César dos Santos, Jidong Liu, et al.
Remote Sensing (2022) Vol. 14, Iss. 15, pp. 3738-3738
Open Access | Times Cited: 12
Improved Tree Segmentation Algorithm Based on Backpack-LiDAR Point Cloud
Dongwei Zhu, Xianglong Liu, Yili Zheng, et al.
Forests (2024) Vol. 15, Iss. 1, pp. 136-136
Open Access | Times Cited: 2
Ecotones as Windows into Organismal-to-Biome Scale Responses across Neotropical Forests
Perla Ortiz-Colin, Catherine M. Hulshof
Plants (2024) Vol. 13, Iss. 17, pp. 2396-2396
Open Access | Times Cited: 2
Multisensors Fusion SLAM-Aided Forest Plot Mapping With Backpack Dual-LiDAR System
Shuhang Yang, Yanqiu Xing, Tao Xing, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 16051-16070
Open Access | Times Cited: 2
Forest aboveground biomass estimation based on spaceborne LiDAR combining machine learning model and geostatistical method
Li Xu, Jinge Yu, Qingtai Shu, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 2
Soft Segmentation of Terrestrial Laser Scanning Point Cloud of Forests
Mingrui Dai, Guohua Li
Applied Sciences (2023) Vol. 13, Iss. 10, pp. 6228-6228
Open Access | Times Cited: 5
Soft Segmentation and Reconstruction of Tree Crown from Laser Scanning Data
Mingrui Dai, Guohua Li
Electronics (2023) Vol. 12, Iss. 10, pp. 2300-2300
Open Access | Times Cited: 5
Transport Infrastructure Management Based on LiDAR Synthetic Data: A Deep Learning Approach with a ROADSENSE Simulator
Lino Comesaña-Cebral, J. Martínez-Sánchez, Antón Núñez Seoane, et al.
Infrastructures (2024) Vol. 9, Iss. 3, pp. 58-58
Open Access | Times Cited: 1
Tree Instance Segmentation in Urban 3D Point Clouds Using a Coarse-to-Fine Algorithm Based on Semantic Segmentation
Josafat-Mattias Burmeister, Rico Richter, Stefan Reder, et al.
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (2024) Vol. X-4/W5-2024, pp. 79-86
Open Access | Times Cited: 1
Individual Tree Identification and Segmentation in Pinus spp. Stands through Portable LiDAR
Ana Solares-Canal, Laura Alonso, Juan Picos, et al.
Forests (2024) Vol. 15, Iss. 7, pp. 1133-1133
Open Access | Times Cited: 1
Advancing Carbon Stock Estimation and 3D Tree Modeling: Harnessing the Potential of Low-Cost Backpack LiDAR Technology
Widodo Eko Prasetyo, Hepi Hapsari Handayani, Agus Budi Raharjo, et al.
IOP Conference Series Earth and Environmental Science (2024) Vol. 1406, Iss. 1, pp. 012013-012013
Open Access | Times Cited: 1
TreeTool: A tool for detecting trees and estimating their DBH using forest point clouds
Omar Montoya, Octavio Icasio-Hernández, Joaquín Salas
SoftwareX (2021) Vol. 16, pp. 100889-100889
Open Access | Times Cited: 9
Screening of Ginkgo Individuals with Superior Growth Structural Characteristics in Different Genetic Groups Using Terrestrial Laser Scanning (TLS) Data
Wen Gao, Xiaoming Yang, Lin Cao, et al.
Plant Phenomics (2023) Vol. 5
Open Access | Times Cited: 3
A segment-based filtering method for mobile laser scanning point cloud
Xiangguo Lin, Wenhan Xie
International Journal of Image and Data Fusion (2022) Vol. 13, Iss. 2, pp. 136-154
Closed Access | Times Cited: 5
Use of Mobile Laser Scanning (MLS) to Monitor Vegetation Recovery on Linear Disturbances
C. Eugene Jones, Angeline Van Dongen, Jolan Aubry, et al.
Forests (2022) Vol. 13, Iss. 11, pp. 1743-1743
Open Access | Times Cited: 5
Automatic Extraction of Forest Inventory Variables at the Tree Level by Using Smartphone Images to Construct a Three-Dimensional Model
Jiayin Song, Qiqi Huang, Yue Zhao, et al.
Forests (2023) Vol. 14, Iss. 6, pp. 1081-1081
Open Access | Times Cited: 2
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