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:

Assessing the Performance of a Handheld Laser Scanning System for Individual Tree Mapping—A Mixed Forests Showcase in Spain
Frederico Tupinambá‐Simões, Adrián Pascual, Juan Guerra-Hernández, et al.
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1169-1169
Open Access | Times Cited: 24

Showing 24 citing articles:

Geomatic Data Fusion for 3D Tree Modeling: The Case Study of Monumental Chestnut Trees
Mattia Balestra, Enrico Tonelli, Alessandro Vitali, et al.
Remote Sensing (2023) Vol. 15, Iss. 8, pp. 2197-2197
Open Access | Times Cited: 13

Characterization of Woody and Shrubby Vegetation in Synanthropic Forests Using Three-Dimensional Laser Scanning Technology
Alla Philippova, Natalia Stroiteleva, Dmitry Gura
Forest Science and Technology (2025), pp. 1-7
Open Access

Mapping Individual Tree- and Plot-Level Biomass Using Handheld Mobile Laser Scanning in Complex Subtropical Secondary and Old-Growth Forests
Nelson Pak Lun Mak, Tin-Yan Siu, Ying Ki Law, et al.
Remote Sensing (2025) Vol. 17, Iss. 8, pp. 1354-1354
Open Access

Evaluation of Handheld Mobile Laser Scanner Systems for the Definition of Fuel Types in Structurally Complex Mediterranean Forest Stands
Raúl Hoffrén, María Teresa Lamelas Gracia, Juan de la Riva
Fire (2024) Vol. 7, Iss. 2, pp. 59-59
Open Access | Times Cited: 4

Evaluation of mobile laser scanning acquisition scenarios for automated wood volume estimation in a temperate hardwood forest using quantitative structural models
Bastien Vandendaele, Olivier Martin‐Ducup, Richard Fournier, et al.
Canadian Journal of Forest Research (2024) Vol. 54, Iss. 7, pp. 774-792
Closed Access | Times Cited: 4

Combining hand-held and drone-based lidar for forest carbon monitoring: insights from a Mediterranean mixed forest in central Portugal
Frederico Tupinambá‐Simões, Adrián Pascual, Juan Guerra-Hernández, et al.
European Journal of Forest Research (2025)
Open Access

Prompt Mapping Tree Positions with Handheld Mobile Scanners Based on SLAM Technology
Juliána Chudá, Jozef Výbošťok, Julián Tomaštík, et al.
Land (2024) Vol. 13, Iss. 1, pp. 93-93
Open Access | Times Cited: 3

Estimating Mediterranean stand fuel characteristics using handheld mobile laser scanning technology
Kadir Alperen Coskuner, Can Vatandaşlar, Murat Öztürk, et al.
International Journal of Wildland Fire (2023) Vol. 32, Iss. 9, pp. 1347-1363
Closed Access | Times Cited: 5

Assessing the Performance of Handheld Laser Scanning for Individual Tree Mapping in an Urban Area
J.‐M. Yang, Wenwen Yuan, Huicui Lu, et al.
Forests (2024) Vol. 15, Iss. 4, pp. 575-575
Open Access | Times Cited: 1

Maximizing the economic benefit for cable yarding timber harvesting operations by spatially optimizing tree selection
Francesco Sforza, Michael Starke, Patrick Dietsch, et al.
European Journal of Forest Research (2024)
Open Access | Times Cited: 1

Accuracy of tree mapping based on hand-held laser scanning comparing leaf-on and leaf-off conditions in mixed forests
Frederico Tupinambá‐Simões, Adrián Pascual, Juan Guerra-Hernández, et al.
Journal of Forestry Research (2024) Vol. 35, Iss. 1
Closed Access | Times Cited: 1

Evaluating the efficacy of sampling acquisition paths for mapping vegetation structure using terrestrial mobile laser scanning.
Johann Tiede, Karin Reinke, Simon Jones
Ecological Informatics (2024) Vol. 82, pp. 102675-102675
Open Access | Times Cited: 1

Individual Tree Identification and Segmentation in Pinus spp. Stands through Portable LiDAR
Ana Solares-Canal, Laura Alonso, Juan Picos, et al.
Forests (2024) Vol. 15, Iss. 7, pp. 1133-1133
Open Access | Times Cited: 1

Retrieval of Chinese fir tree parameters under different understory conditions with the integration of handheld and airborne Lidar data
Yunhe Li, Guiying Li, Si‐Rong Wang, et al.
Geo-spatial Information Science (2024), pp. 1-22
Open Access | Times Cited: 1

A FULLY AUTOMATIC FOREST PARAMETERS EXTRACTION AT SINGLE-TREE LEVEL: A COMPARISON OF MLS AND TLS APPLICATIONS
Claudia Spadavecchia, Elena Belcore, Nives Grasso, et al.
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2023) Vol. XLVIII-1/W1-2023, pp. 457-463
Open Access | Times Cited: 3

Optimizing line-plot size for personal laser scanning: modeling distance-dependent tree detection probability along transects
Thomas Ritter, Andreas Tockner, Ralf Kraßnitzer, et al.
iForest - Biogeosciences and Forestry (2024) Vol. 17, Iss. 5, pp. 269-276
Closed Access

Monitoring solutions for remote locations: A data gathering approach for remote nature-based solution sites
Bartholomew Hill, Huili Chen, Qiuhua Liang, et al.
Nature-Based Solutions (2024) Vol. 5, pp. 100120-100120
Open Access

Efficiency of Mobile Laser Scanning for Digital Marteloscopes for Conifer Forests in the Mediterranean Region
Francesca Giannetti, Livia Passarino, Gianfrancesco Aleandri, et al.
Forests (2024) Vol. 15, Iss. 12, pp. 2202-2202
Open Access

Is handheld mobile scanner data operational for the evaluation of field performance of poplar clones?
R González, Carlos Cabo Gómez, Joaquín Garnica López, et al.
(2023), pp. 618-623
Closed Access

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