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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:

Estimating urban above ground biomass with multi-scale LiDAR
Phil Wilkes, Mathias Disney, Matheus Boni Vicari, et al.
Carbon Balance and Management (2018) Vol. 13, Iss. 1
Open Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

Terrestrial laser scanning in forest ecology: Expanding the horizon
Kim Calders, Jennifer Adams, John Armston, et al.
Remote Sensing of Environment (2020) Vol. 251, pp. 112102-112102
Open Access | Times Cited: 346
Terrestrial LiDAR: a three‐dimensional revolution in how we look at trees
Mathias Disney
New Phytologist (2018) Vol. 222, Iss. 4, pp. 1736-1741
Open Access | Times Cited: 130
Estimation of Forest Above-Ground Biomass by Geographically Weighted Regression and Machine Learning with Sentinel Imagery
Lin Chen, Chunying Ren, Bai Zhang, et al.
Forests (2018) Vol. 9, Iss. 10, pp. 582-582
Open Access | Times Cited: 124
Remote Sensing in Urban Forestry: Recent Applications and Future Directions
Xun Li, Wendy Y. Chen, Giovanni Sanesi, et al.
Remote Sensing (2019) Vol. 11, Iss. 10, pp. 1144-1144
Open Access | Times Cited: 83
Quantifying tropical forest structure through terrestrial and UAV laser scanning fusion in Australian rainforests
Louise Terryn, Kim Calders, Harm Bartholomeus, et al.
Remote Sensing of Environment (2022) Vol. 271, pp. 112912-112912
Open Access | Times Cited: 66
Estimating Above-Ground Biomass of Potato Using Random Forest and Optimized Hyperspectral Indices
Haibo Yang, Fei Li, Wei Wang, et al.
Remote Sensing (2021) Vol. 13, Iss. 12, pp. 2339-2339
Open Access | Times Cited: 56
Geospatial technology in agroforestry: status, prospects, and constraints
Prashant Sharma, D. R. Bhardwaj, M. K. Singh, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 55, pp. 116459-116487
Closed Access | Times Cited: 42
Integrating forest structural diversity measurement into ecological research
Jeff W. Atkins, Parth Bhatt, Luis Carrasco, et al.
Ecosphere (2023) Vol. 14, Iss. 9
Open Access | Times Cited: 26
IoT Monitoring of Urban Tree Ecosystem Services: Possibilities and Challenges
Victor Matasov, Luca Belelli Marchesini, Alexis Yaroslavtsev, et al.
Forests (2020) Vol. 11, Iss. 7, pp. 775-775
Open Access | Times Cited: 65
Compatibility of Aerial and Terrestrial LiDAR for Quantifying Forest Structural Diversity
Elizabeth A. LaRue, Franklin Wagner, Songlin Fei, et al.
Remote Sensing (2020) Vol. 12, Iss. 9, pp. 1407-1407
Open Access | Times Cited: 52
Above-ground biomass references for urban trees from terrestrial laser scanning data
Daniel Kükenbrink, Oliver Gardi, Felix Morsdorf, et al.
Annals of Botany (2021) Vol. 128, Iss. 6, pp. 709-724
Open Access | Times Cited: 45
Accuracy differences in aboveground woody biomass estimation with terrestrial laser scanning for trees in urban and rural forests and different leaf conditions
Georgios Arseniou, David W. MacFarlane, Kim Calders, et al.
Trees (2023) Vol. 37, Iss. 3, pp. 761-779
Closed Access | Times Cited: 16
Towards accurate individual tree parameters estimation in dense forest: optimized coarse-to-fine algorithms for registering UAV and terrestrial LiDAR data
Yuting Zhao, Jungho Im, Zhen Zhen, et al.
GIScience & Remote Sensing (2023) Vol. 60, Iss. 1
Open Access | Times Cited: 16
Urban Above-Ground Biomass Estimation Using GEDI Laser Data and Optical Remote Sensing Images
Xuedi Zhao, Wenmin Hu, Jiang Han, et al.
Remote Sensing (2024) Vol. 16, Iss. 7, pp. 1229-1229
Open Access | Times Cited: 6
Estimating Urban Vegetation Biomass from Sentinel-2A Image Data
Long Li, Xisheng Zhou, Longqian Chen, et al.
Forests (2020) Vol. 11, Iss. 2, pp. 125-125
Open Access | Times Cited: 49
An architectural understanding of natural sway frequencies in trees
Toby Jackson, Alexander Shenkin, John R. Moore, et al.
Journal of The Royal Society Interface (2019) Vol. 16, Iss. 155, pp. 20190116-20190116
Open Access | Times Cited: 43
Quantifying urban forest structure with open-access remote sensing data sets
Oliver Baines, Phil Wilkes, Mathias Disney
Urban forestry & urban greening (2020) Vol. 50, pp. 126653-126653
Open Access | Times Cited: 40
Quantification of carbon sequestration by urban forest using Landsat 8 OLI and machine learning algorithms in Jodhpur, India
Swati Uniyal, Saurabh Purohit, Kuldeep Chaurasia, et al.
Urban forestry & urban greening (2021) Vol. 67, pp. 127445-127445
Closed Access | Times Cited: 39
Implementing Deep Learning algorithms for urban tree detection and geolocation with high-resolution aerial, satellite, and ground-level images
Luisa Velasquez-Camacho, Maddi Etxegarai, Sergio de‐Miguel
Computers Environment and Urban Systems (2023) Vol. 105, pp. 102025-102025
Open Access | Times Cited: 14
First assessment of optical and microwave remotely sensed vegetation proxies in monitoring aboveground carbon in tropical Asia
Tianxiang Cui, Lei Fan, Philippe Ciais, et al.
Remote Sensing of Environment (2023) Vol. 293, pp. 113619-113619
Closed Access | Times Cited: 13
Advancing urban forest and ecosystem service assessment through the integration of remote sensing and i-Tree Eco: A systematic review
Gunjan Sharma, Justin Morgenroth, Daniel R. Richards, et al.
Urban forestry & urban greening (2025), pp. 128659-128659
Open Access
Assessment of Above-Ground Carbon Storage by Urban Trees Using LiDAR Data: The Case of a University Campus
Derya Gülçin, Cecil C. Konijnendijk
Forests (2021) Vol. 12, Iss. 1, pp. 62-62
Open Access | Times Cited: 29
A Survey of Computer Vision Techniques for Forest Characterization and Carbon Monitoring Tasks
Svetlana Illarionova, Dmitrii Shadrin, Polina Tregubova, et al.
Remote Sensing (2022) Vol. 14, Iss. 22, pp. 5861-5861
Open Access | Times Cited: 21
Using aerial LiDAR to assess regional availability of potential habitat for a conservation dependent forest bird
Darin J. McNeil, G. E. J. Fisher, Cameron J. Fiss, et al.
Forest Ecology and Management (2023) Vol. 540, pp. 121002-121002
Open Access | Times Cited: 12
TLS2trees: A scalable tree segmentation pipeline for TLS data
Phil Wilkes, Mathias Disney, John Armston, et al.
Methods in Ecology and Evolution (2023) Vol. 14, Iss. 12, pp. 3083-3099
Open Access | Times Cited: 11
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