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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:

An object-based approach for mapping forest structural types based on low-density LiDAR and multispectral imagery
Luis Á. Ruiz, J. A. Recio, Pablo Crespo‐Peremarch, et al.
Geocarto International (2016) Vol. 33, Iss. 5, pp. 443-457
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Forest fire fuel through the lens of remote sensing: Review of approaches, challenges and future directions in the remote sensing of biotic determinants of fire behaviour
Matthew G. Gale, Geoffrey J. Cary, Albert I. J. M. van Dijk, et al.
Remote Sensing of Environment (2021) Vol. 255, pp. 112282-112282
Closed Access | Times Cited: 127
LiDAR Data Fusion to Improve Forest Attribute Estimates: A Review
Mattia Balestra, Suzanne Marselis, Temuulen Tsagaan Sankey, et al.
Current Forestry Reports (2024) Vol. 10, Iss. 4, pp. 281-297
Open Access | Times Cited: 26
Characterizing understory vegetation in Mediterranean forests using full-waveform airborne laser scanning data
Pablo Crespo‐Peremarch, Piotr Tompalski, Nicholas C. Coops, et al.
Remote Sensing of Environment (2018) Vol. 217, pp. 400-413
Open Access | Times Cited: 51
A comparative assessment of the vertical distribution of forest components using full-waveform airborne, discrete airborne and discrete terrestrial laser scanning data
Pablo Crespo‐Peremarch, Richard Fournier, Van-Tho Nguyen, et al.
Forest Ecology and Management (2020) Vol. 473, pp. 118268-118268
Open Access | Times Cited: 36
Classification of urban tree species using LiDAR data and WorldView-2 satellite imagery in a heterogeneous environment
Simbarashe Jombo, Elhadi Adam, Solomon G. Tesfamichael
Geocarto International (2022) Vol. 37, Iss. 25, pp. 9943-9966
Closed Access | Times Cited: 20
Forest Road Detection Using LiDAR Data and Hybrid Classification
Sandra Buján, Juan Guerra-Hernández, Eduardo González‐Ferreiro, et al.
Remote Sensing (2021) Vol. 13, Iss. 3, pp. 393-393
Open Access | Times Cited: 24
Beyond sRGB: Optimizing Object Detection with Diverse Color Spaces for Precise Wildfire Risk Assessment
Zhiyuan Yang, Shuo Cao, Michał Aibin
Remote Sensing (2025) Vol. 17, Iss. 9, pp. 1503-1503
Open Access
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
Vegetation Fuel Mapping at Regional Scale Using Sentinel-1, Sentinel-2, and DEM Derivatives—The Case of the Region of East Macedonia and Thrace, Greece
Irene Chrysafis, Christos Damianidis, V. Giannakopoulos, et al.
Remote Sensing (2023) Vol. 15, Iss. 4, pp. 1015-1015
Open Access | Times Cited: 7
Combining low-density LiDAR and satellite images to discriminate species in mixed Mediterranean forest
Ángela Blázquez-Casado, Rafael Calama, Manuel Valbuena, et al.
Annals of Forest Science (2019) Vol. 76, Iss. 2
Open Access | Times Cited: 17
Analyzing the role of pulse density and voxelization parameters on full-waveform LiDAR-derived metrics
Pablo Crespo‐Peremarch, Luis Á. Ruiz, A. Balaguer, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2018) Vol. 146, pp. 453-464
Open Access | Times Cited: 15
Solid Biomass from Forest Trees to Energy: A Review
Ana Cristina Gonçalves, Isabel Malico, Adélia Sousa
IntechOpen eBooks (2019)
Open Access | Times Cited: 14
Ensemble Machine Learning on Fusion of Sentinel Time Series Imagery with High-Resolution Orthoimagery for Improved Land Use Land Cover Mapping
Mukti Ram Subedi, Carlos Portillo‐Quintero, Nancy E. McIntyre, et al.
(2024)
Open Access | Times Cited: 1
Ensemble Machine Learning on the Fusion of Sentinel Time Series Imagery with High-Resolution Orthoimagery for Improved Land Use/Land Cover Mapping
Mukti Ram Subedi, Carlos Portillo‐Quintero, Nancy E. McIntyre, et al.
Remote Sensing (2024) Vol. 16, Iss. 15, pp. 2778-2778
Open Access | Times Cited: 1
Mapping Polylepis Forest Using Sentinel, PlanetScope Images, and Topographical Features with Machine Learning
Diego Pacheco, Esteban Bravo-López, Luis Á. Ruiz
Remote Sensing (2024) Vol. 16, Iss. 22, pp. 4271-4271
Open Access | Times Cited: 1
Examining LiDAR – WorldView-3 data synergy to generate a detailed stand map in a mixed forest in the north-west of Turkey
Ulaş Yunus Özkan, Tufan Demirel, İbrahim Özdemir, et al.
Advances in Space Research (2020) Vol. 65, Iss. 11, pp. 2608-2621
Closed Access | Times Cited: 10
Efficacy of remote sensing technologies for burrow count estimates of a rare kangaroo rat
John D. Stuhler, Carlos Portillo‐Quintero, Jim R. Goetze, et al.
Wildlife Society Bulletin (2024) Vol. 48, Iss. 1
Open Access | Times Cited: 1
LiDAR Scan Density and Spatial Resolution Effects on Vegetation Fuel Type Mapping
Alba García-Cimarras, J. A. Manzanera, Rubén Valbuena
Croatian journal of forest engineering (2022) Vol. 44, Iss. 1, pp. 189-201
Open Access | Times Cited: 6
Evaluación del uso de LiDAR discreto, full-waveform y TLS en la clasificación por composición de especies en bosques mediterráneos
Jesús Torralba, Pablo Crespo‐Peremarch, Luis Á. Ruiz
Revista de Teledetección (2018), Iss. 52, pp. 27-27
Open Access | Times Cited: 7
Classification and mapping of low-statured shrubland cover types in post-agricultural landscapes of the US Northeast
M. J. Mahoney, Lucas K Johnson, Abigail Z Guinan, et al.
International Journal of Remote Sensing (2022) Vol. 43, Iss. 19-24, pp. 7117-7138
Open Access | Times Cited: 5
Estimation of the Forest Stand Biomass and Greenhouse Gas Emissions Using Lidar Surveys
Rida Sultanova, Radik Mustafin
Photogrammetric Engineering & Remote Sensing (2023) Vol. 89, Iss. 7, pp. 445-454
Closed Access | Times Cited: 2
Mountain Forest Type Classification Based on One-Dimensional Convolutional Neural Network
Maoyang Bai, Peihao Peng, Shiqi Zhang, et al.
Forests (2023) Vol. 14, Iss. 9, pp. 1823-1823
Open Access | Times Cited: 2
A Full-Waveform Airborne Laser Scanning Metric Extraction Tool for Forest Structure Modelling. Do Scan Angle and Radiometric Correction Matter?
Pablo Crespo‐Peremarch, Luis Á. Ruiz
Remote Sensing (2020) Vol. 12, Iss. 2, pp. 292-292
Open Access | Times Cited: 5
Developing object-based image procedures for classifying and characterising different protected agriculture structures using LiDAR and orthophoto
Arti Tiwari, Micha Silver, Arnon Karnieli
Biosystems Engineering (2020) Vol. 198, pp. 91-104
Closed Access | Times Cited: 5
AI for shrubland identification and mapping
M. J. Mahoney, Lucas K Johnson, Colin M. Beier
Elsevier eBooks (2023), pp. 295-316
Closed Access | Times Cited: 1
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