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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:

Impact of data model and point density on aboveground forest biomass estimation from airborne LiDAR
Mariano Garcı́a, Sassan Saatchi, António Ferraz, et al.
Carbon Balance and Management (2017) Vol. 12, Iss. 1
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Utility of multitemporal lidar for forest and carbon monitoring: Tree growth, biomass dynamics, and carbon flux
Kaiguang Zhao, Juan Carlos Pinilla Suárez, Mariano Garcı́a, et al.
Remote Sensing of Environment (2017) Vol. 204, pp. 883-897
Closed Access | Times Cited: 225
Estimating forest structural attributes using UAV-LiDAR data in Ginkgo plantations
Kun Liu, Xin Shen, Lin Cao, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2018) Vol. 146, pp. 465-482
Closed Access | Times Cited: 171
Review of Remote Sensing-Based Methods for Forest Aboveground Biomass Estimation: Progress, Challenges, and Prospects
Lei Tian, Xiaocan Wu, Tao Yu, et al.
Forests (2023) Vol. 14, Iss. 6, pp. 1086-1086
Open Access | Times Cited: 78
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: 78
Variation of leaf angle distribution quantified by terrestrial LiDAR in natural European beech forest
Jing Liu, Andrew K. Skidmore, Tiejun Wang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2019) Vol. 148, pp. 208-220
Open Access | Times Cited: 70
Impacts of Airborne Lidar Pulse Density on Estimating Biomass Stocks and Changes in a Selectively Logged Tropical Forest
Carlos Alberto Silva, Andrew T. Hudak, Lee A. Vierling, et al.
Remote Sensing (2017) Vol. 9, Iss. 10, pp. 1068-1068
Open Access | Times Cited: 64
Aboveground Biomass Estimation in Amazonian Tropical Forests: a Comparison of Aircraft- and GatorEye UAV-borne LiDAR Data in the Chico Mendes Extractive Reserve in Acre, Brazil
Marcus Vinicio Neves d’Oliveira, Eben N. Broadbent, Luís Oliveira, et al.
Remote Sensing (2020) Vol. 12, Iss. 11, pp. 1754-1754
Open Access | Times Cited: 51
Spaceborne LiDAR for characterizing forest structure across scales in the European Alps
Lisa Mandl, Ana Stritih, Rupert Seidl, et al.
Remote Sensing in Ecology and Conservation (2023) Vol. 9, Iss. 5, pp. 599-614
Open Access | Times Cited: 17
Comparing tree attributes derived from quantitative structure models based on drone and mobile laser scanning point clouds across varying canopy cover conditions
Yangqian Qi, Nicholas C. Coops, Lori D. Daniels, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 192, pp. 49-65
Closed Access | Times Cited: 26
Modeling the topographic influence on aboveground biomass using a coupled model of hillslope hydrology and ecosystem dynamics
Yilin Fang, L. Ruby Leung, Charles D. Koven, et al.
Geoscientific model development (2022) Vol. 15, Iss. 20, pp. 7879-7901
Open Access | Times Cited: 22
Combining Sample Plot Stratification and Machine Learning Algorithms to Improve Forest Aboveground Carbon Density Estimation in Northeast China Using Airborne LiDAR Data
Mingjie Chen, Xincai Qiu, Weisheng Zeng, et al.
Remote Sensing (2022) Vol. 14, Iss. 6, pp. 1477-1477
Open Access | Times Cited: 19
Modeling LiDAR-Derived 3D Structural Metric Estimates of Individual Tree Aboveground Biomass in Urban Forests: A Systematic Review of Empirical Studies
Ruonan Li, Lei Wang, Yalin Zhai, et al.
Forests (2025) Vol. 16, Iss. 3, pp. 390-390
Open Access
Mapping Tropical Forested Wetlands Biomass with LiDAR: A Machine Learning Comparison
Jonathan V. Solórzano, Candelario Peralta-Carreta, J. Alberto Gallardo-Cruz
Remote Sensing (2025) Vol. 17, Iss. 6, pp. 1076-1076
Open Access
Impact of LiDAR pulse density on forest fuels metrics derived using LadderFuelsR
Olga Viedma, José M. Moreno
Ecological Informatics (2025), pp. 103135-103135
Open Access
Determinants of Above-Ground Biomass and Its Spatial Variability in a Temperate Forest Managed for Timber Production
María de los Ángeles Soriano-Luna, Gregorio Ángeles‐Pérez, Mário Guevara, et al.
Forests (2018) Vol. 9, Iss. 8, pp. 490-490
Open Access | Times Cited: 31
Identifying Forest Structural Types along an Aridity Gradient in Peninsular Spain: Integrating Low-Density LiDAR, Forest Inventory, and Aridity Index
Julián Tijerín‐Triviño, Daniel Moreno‐Fernández, Miguel Á. Zavala, et al.
Remote Sensing (2022) Vol. 14, Iss. 1, pp. 235-235
Open Access | Times Cited: 16
Harmonizing multi-temporal airborne laser scanning point clouds to derive periodic annual height increments in temperate mixedwood forests
José Riofrío, Joanne C. White, Piotr Tompalski, et al.
Canadian Journal of Forest Research (2022) Vol. 52, Iss. 10, pp. 1334-1352
Open Access | Times Cited: 14
High resolution remote sensing for reducing uncertainties in urban forest carbon offset life cycle assessments
Jan Tigges, Tobia Lakes
Carbon Balance and Management (2017) Vol. 12, Iss. 1
Open Access | Times Cited: 22
Overstory-understory land cover mapping at the watershed scale: accuracy enhancement by multitemporal remote sensing analysis and LiDAR
Laura Fragoso‐Campón, Elia Quirós, Julián Mora Aliseda, et al.
Environmental Science and Pollution Research (2019) Vol. 27, Iss. 1, pp. 75-88
Closed Access | Times Cited: 20
Point cloud-based crown volume improves tree biomass estimation: Evaluating different crown volume extraction algorithms
Fan Wang, Weiwei Jia, Haotian Guo, et al.
Computers and Electronics in Agriculture (2024) Vol. 225, pp. 109288-109288
Closed Access | Times Cited: 2
Constructing Rasterized Covariates from LiDAR Point Cloud Data via Structured Query Language
Rory Pittman, Baoxin Hu
GEOINFORMATICS (2024), pp. 1-1
Open Access | Times Cited: 2
Fusion of NASA Airborne Snow Observatory (ASO) Lidar Time Series over Mountain Forest Landscapes
António Ferraz, Sassan Saatchi, K. J. Bormann, et al.
Remote Sensing (2018) Vol. 10, Iss. 2, pp. 164-164
Open Access | Times Cited: 18
Comparison of Coniferous Plantation Heights Using Unmanned Aerial Vehicle (UAV) Laser Scanning and Stereo Photogrammetry
Mei Li, Zengyuan Li, Qingwang Liu, et al.
Remote Sensing (2021) Vol. 13, Iss. 15, pp. 2885-2885
Open Access | Times Cited: 14
Quantifying forest residual biomass in Pinus halepensis Miller stands using Airborne Laser Scanning data
Darío Domingo, Antonio Luis Montealegre Gracia, María Teresa Lamelas Gracia, et al.
GIScience & Remote Sensing (2019) Vol. 56, Iss. 8, pp. 1210-1232
Closed Access | Times Cited: 14
Influence of Site-Specific Conditions on Estimation of Forest above Ground Biomass from Airborne Laser Scanning
Jan Novotný, Barbora Navrátilová, Růžena Janoutová, et al.
Forests (2020) Vol. 11, Iss. 3, pp. 268-268
Open Access | Times Cited: 12
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