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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:

Airborne Lidar Estimation of Aboveground Forest Biomass in the Absence of Field Inventory
António Ferraz, Sassan Saatchi, Clément Mallet, et al.
Remote Sensing (2016) Vol. 8, Iss. 8, pp. 653-653
Open Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission
Laura Duncanson, James R. Kellner, John Armston, et al.
Remote Sensing of Environment (2022) Vol. 270, pp. 112845-112845
Open Access | Times Cited: 250
Comparison of Small- and Large-Footprint Lidar Characterization of Tropical Forest Aboveground Structure and Biomass: A Case Study From Central Gabon
Carlos Alberto Silva, Sassan Saatchi, Mariano Garcı́a, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2018) Vol. 11, Iss. 10, pp. 3512-3526
Open Access | Times Cited: 84
Estimation of Forest Growing Stock Volume with UAV Laser Scanning Data: Can It Be Done without Field Data?
Stefano Puliti, Johannes Breidenbach, Rasmus Astrup
Remote Sensing (2020) Vol. 12, Iss. 8, pp. 1245-1245
Open Access | Times Cited: 74
Use of Individual Tree and Product Level Data to Improve Operational Forestry
Robert Keefe, Eloise G. Zimbelman, Gianni Picchi
Current Forestry Reports (2022) Vol. 8, Iss. 2, pp. 148-165
Open Access | Times Cited: 38
Forest Aboveground Biomass Estimation and Inventory: Evaluating Remote Sensing-Based Approaches
Muhammad Nouman Khan, Yumin Tan, Ahmad Ali Gul, et al.
Forests (2024) Vol. 15, Iss. 6, pp. 1055-1055
Open Access | Times Cited: 9
In situ biomass estimation at tree and plot levels: What did data record and what did algorithms derive from terrestrial and aerial point clouds in boreal forest
Yunsheng Wang, Jiri Pyörälä, Xinlian Liang, et al.
Remote Sensing of Environment (2019) Vol. 232, pp. 111309-111309
Open Access | Times Cited: 74
AGB Estimation in a Tropical Mountain Forest (TMF) by Means of RGB and Multispectral Images Using an Unmanned Aerial Vehicle (UAV)
Víctor González-Jaramillo, Andreas Fries, Jörg Bendix
Remote Sensing (2019) Vol. 11, Iss. 12, pp. 1413-1413
Open Access | Times Cited: 60
Simple method for direct crown base height estimation of individual conifer trees using airborne LiDAR data
Luo Lai-ping, Qiuping Zhai, Yanjun Su, et al.
Optics Express (2018) Vol. 26, Iss. 10, pp. A562-A562
Open Access | Times Cited: 54
Structure metrics to generalize biomass estimation from lidar across forest types from different continents
Nikolai Knapp, Rico Fischer, Victor Cazcarra-Bes, et al.
Remote Sensing of Environment (2019) Vol. 237, pp. 111597-111597
Open Access | Times Cited: 54
3D Segmentation of Trees Through a Flexible Multiclass Graph Cut Algorithm
Jonathan Williams, Carola‐Bibiane Schönlieb, Tom Swinfield, et al.
IEEE Transactions on Geoscience and Remote Sensing (2019) Vol. 58, Iss. 2, pp. 754-776
Open Access | Times Cited: 45
An Assessment of High-Density UAV Point Clouds for the Measurement of Young Forestry Trials
Robin J. L. Hartley, Ellen Mae C. Leonardo, Peter Massam, et al.
Remote Sensing (2020) Vol. 12, Iss. 24, pp. 4039-4039
Open Access | Times Cited: 42
Spatial Scale Effect and Correction of Forest Aboveground Biomass Estimation Using Remote Sensing
Ying Yu, Yan Pan, Xiguang Yang, et al.
Remote Sensing (2022) Vol. 14, Iss. 12, pp. 2828-2828
Open Access | Times Cited: 23
Assessing the Vertical Structure of Forests Using Airborne and Spaceborne LiDAR Data in the Austrian Alps
Manuela Hirschmugl, Florian Lippl, Carina Sobe
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 664-664
Open Access | Times Cited: 13
Hierarchical integration of individual tree and area-based approaches for savanna biomass uncertainty estimation from airborne LiDAR
Grigorijs Goldbergs, Shaun R. Levick, Michael J. Lawes, et al.
Remote Sensing of Environment (2017) Vol. 205, pp. 141-150
Closed Access | Times Cited: 48
Estimation of canopy cover in dense mixed-species forests using airborne lidar data
Tauri Arumäe, Mait Lang
European Journal of Remote Sensing (2017) Vol. 51, Iss. 1, pp. 132-141
Open Access | Times Cited: 44
Improving Lidar-based aboveground biomass estimation of temperate hardwood forests with varying site productivity
Gang Shao, Guofan Shao, Joey Gallion, et al.
Remote Sensing of Environment (2017) Vol. 204, pp. 872-882
Closed Access | Times Cited: 43
Sustainable use zoning of land resources considering ecological and geological problems in Pearl River Delta Economic Zone, China
Lin Gao, Chuanming Ma, Qixin Wang, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 37
Pre-fire aboveground biomass, estimated from LiDAR, spectral and field inventory data, as a major driver of burn severity in maritime pine (Pinus pinaster) ecosystems
José Manuel Fernández‐Guisuraga, Susana Suárez‐Seoane, Paulo M. Fernandes, et al.
Forest Ecosystems (2022) Vol. 9, pp. 100022-100022
Open Access | Times Cited: 22
Estimation of Above Ground Biomass in a Tropical Mountain Forest in Southern Ecuador Using Airborne LiDAR Data
Víctor González-Jaramillo, Andreas Fries, Jörg Zeilinger, et al.
Remote Sensing (2018) Vol. 10, Iss. 5, pp. 660-660
Open Access | Times Cited: 36
Tree height explains stand volume of closed-canopy stands: Evidence from forest inventory data of China
XU Yan-li, Chao Li, Zhichao Sun, et al.
Forest Ecology and Management (2019) Vol. 438, pp. 51-56
Closed Access | Times Cited: 30
Evaluation of Gedi Footprint Level Biomass Models in Southern African Savannas Using Airborne Lidar and Field Measurements
Xiaoxuan Li, Konrad Wessels, John Armston, et al.
(2024)
Closed Access | Times Cited: 3
Impact of Error in Lidar-Derived Canopy Height and Canopy Base Height on Modeled Wildfire Behavior in the Sierra Nevada, California, USA
Maggi Kelly, Yanjun Su, Stefania Di Tommaso, et al.
Remote Sensing (2017) Vol. 10, Iss. 1, pp. 10-10
Open Access | Times Cited: 32
Design of spatial PGIS-MCDA-based land assessment planning for identifying sustainable land-use adaptation priorities for climate change impacts
Jin Su Jeong
Agricultural Systems (2018) Vol. 167, pp. 61-71
Closed Access | Times Cited: 27
Estimating Stand Height and Tree Density in Pinus taeda plantations using in-situ data, airborne LiDAR and k-Nearest Neighbor Imputation
Carlos Alberto Silva, Carine Klauberg, Andrew T. Hudak, et al.
Anais da Academia Brasileira de Ciências (2018) Vol. 90, Iss. 1, pp. 295-309
Open Access | Times Cited: 26
Spatial Expansion and Soil Organic Carbon Storage Changes of Croplands in the Sanjiang Plain, China
Weidong Man, Hao Yu, Lin Li, et al.
Sustainability (2017) Vol. 9, Iss. 4, pp. 563-563
Open Access | Times Cited: 25
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