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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:

LIDAR-Based Forest Biomass Remote Sensing: A Review of Metrics, Methods, and Assessment Criteria for the Selection of Allometric Equations
Abraham Aidoo Borsah, Majid Nazeer, Man Sing Wong
Forests (2023) Vol. 14, Iss. 10, pp. 2095-2095
Open Access | Times Cited: 9

Showing 9 citing articles:

Consistent patterns of LiDAR-derived measures of savanna vegetation complexity between wet and dry seasons
Zhengyang Wang, Jenia Singh, Andrew B. Davies
Ecological Indicators (2025) Vol. 170, pp. 113061-113061
Open Access | Times Cited: 1
Spatially continuous estimation of urban forest aboveground biomass with UAV-LiDAR and multispectral scanning: An allometric model of forest structural diversity
Yalin Zhai, Lei Wang, Yunlong Yao, et al.
Agricultural and Forest Meteorology (2024) Vol. 360, pp. 110301-110301
Closed Access | Times Cited: 6
Evaluation of potential productivity in coniferous forests by integrating field data and aerial laser scanning in Hidalgo, México
Rodrigo Ramos-Madrigal, Héctor Manuel De los Santos Posadas, José René Valdez‐Lazalde, et al.
Forest Systems (2025) Vol. 33, Iss. 3, pp. 20886-20886
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
Modeling pine forest growing stock volume in subtropical regions of China using airborne Lidar data
Zige Lan, Xiandie Jiang, Guiying Li, et al.
GIScience & Remote Sensing (2025) Vol. 62, Iss. 1
Open Access
Estimating individual tree DBH and biomass of durable Eucalyptus using UAV LiDAR
Ning Ye, Euan G. Mason, Cong Xu, et al.
Ecological Informatics (2025), pp. 103169-103169
Open Access
Estimación de la biomasa forestal aérea a nivel árbol individual mediante LiDAR terrestre
Jorge Luis Compeán-Aguirre, Pablito Marcelo López-Serrano, José Luis Silván-Cárdenas, et al.
Revista mexicana de ciencias forestales (2025) Vol. 16, Iss. 89, pp. 111-139
Open Access
Advances in vegetation mapping through remote sensing and machine learning techniques: a scientometric review
Charles Matyukira, Paidamwoyo Mhangara
European Journal of Remote Sensing (2024) Vol. 57, Iss. 1
Open Access | Times Cited: 2
Mobile Laser Scanning Data Collected under a Forest Canopy with GNSS/INS-Positioned Systems: Possibilities of Processability Improvements
Juraj Čeňava, Ján Tuček, Juliána Chudá, et al.
Remote Sensing (2024) Vol. 16, Iss. 10, pp. 1734-1734
Open Access
Data-driven tree allometry of a planted forest in New Zealand, using machine learning and airborne lidar
Rodrigo Gomez‐Fell, Justin C. Stout, James Brasington, et al.
(2024)
Closed Access
Multi-function vortex array radar
X. H. Li, Sajjad Bashiri, V. A. Ponomarenko, et al.
Applied Physics Letters (2024) Vol. 125, Iss. 17
Closed Access
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