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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:

Comparing RIEGL RiCOPTER UAV LiDAR Derived Canopy Height and DBH with Terrestrial LiDAR
Benjamin Brede, Alvaro Lau, Harm Bartholomeus, et al.
Sensors (2017) Vol. 17, Iss. 10, pp. 2371-2371
Open Access | Times Cited: 227

Showing 1-25 of 227 citing articles:

Terrestrial laser scanning in forest ecology: Expanding the horizon
Kim Calders, Jennifer Adams, John Armston, et al.
Remote Sensing of Environment (2020) Vol. 251, pp. 112102-112102
Open Access | Times Cited: 355
UAV RTK/PPK Method—An Optimal Solution for Mapping Inaccessible Forested Areas?
Julián Tomaštík, Martin Mokroš, Peter Surový, et al.
Remote Sensing (2019) Vol. 11, Iss. 6, pp. 721-721
Open Access | Times Cited: 181
Non-destructive tree volume estimation through quantitative structure modelling: Comparing UAV laser scanning with terrestrial LIDAR
Benjamin Brede, Kim Calders, Alvaro Lau, et al.
Remote Sensing of Environment (2019) Vol. 233, pp. 111355-111355
Closed Access | Times Cited: 174
Biomass and Crop Height Estimation of Different Crops Using UAV-Based Lidar
Jelle ten Harkel, Harm Bartholomeus, Lammert Kooistra
Remote Sensing (2019) Vol. 12, Iss. 1, pp. 17-17
Open Access | Times Cited: 156
Measurement of Forest Inventory Parameters with Apple iPad Pro and Integrated LiDAR Technology
Christoph Gollob, Tim Ritter, Ralf Kraßnitzer, et al.
Remote Sensing (2021) Vol. 13, Iss. 16, pp. 3129-3129
Open Access | Times Cited: 125
LiDAR Applications to Estimate Forest Biomass at Individual Tree Scale: Opportunities, Challenges and Future Perspectives
Dandan Xu, Haobin Wang, Weixin Xu, et al.
Forests (2021) Vol. 12, Iss. 5, pp. 550-550
Open Access | Times Cited: 115
Non-destructive estimation of individual tree biomass: Allometric models, terrestrial and UAV laser scanning
Benjamin Brede, Louise Terryn, Nicolas Barbier, et al.
Remote Sensing of Environment (2022) Vol. 280, pp. 113180-113180
Open Access | Times Cited: 92
Eyes in the Sky: Drones Applications in the Built Environment under Climate Change Challenges
Norhan Bayomi, John Fernández
Drones (2023) Vol. 7, Iss. 10, pp. 637-637
Open Access | Times Cited: 48
Comparative analysis of UAV-based LiDAR and photogrammetric systems for the detection of terrain anomalies in a historical conflict landscape
Marcel Storch, Benjamin Kisliuk, Thomas Jarmer, et al.
Science of Remote Sensing (2025), pp. 100191-100191
Open Access | Times Cited: 2
Towards a point cloud understanding framework for forest scene semantic segmentation across forest types and sensor platforms
Hao Lu, Bowen Li, Gang Yang, et al.
Remote Sensing of Environment (2025) Vol. 318, pp. 114591-114591
Closed Access | Times Cited: 2
New Opportunities for Forest Remote Sensing Through Ultra-High-Density Drone Lidar
James R. Kellner, John Armston, Markus Birrer, et al.
Surveys in Geophysics (2019) Vol. 40, Iss. 4, pp. 959-977
Open Access | Times Cited: 140
Ground Data are Essential for Biomass Remote Sensing Missions
Jérôme Chave, Stuart J. Davies, Oliver L. Phillips, et al.
Surveys in Geophysics (2019) Vol. 40, Iss. 4, pp. 863-880
Open Access | Times Cited: 137
Under-canopy UAV laser scanning for accurate forest field measurements
Eric Hyyppä, Juha Hyyppä, Teemu Hakala, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 164, pp. 41-60
Open Access | Times Cited: 135
UAV based soil salinity assessment of cropland
Konstantin Ivushkin, Harm Bartholomeus, A.K. Bregt, et al.
Geoderma (2018) Vol. 338, pp. 502-512
Closed Access | Times Cited: 131
Comparison of Backpack, Handheld, Under-Canopy UAV, and Above-Canopy UAV Laser Scanning for Field Reference Data Collection in Boreal Forests
Eric Hyyppä, Xiaowei Yu, Harri Kaartinen, et al.
Remote Sensing (2020) Vol. 12, Iss. 20, pp. 3327-3327
Open Access | Times Cited: 128
Forest in situ observations using unmanned aerial vehicle as an alternative of terrestrial measurements
Xinlian Liang, Yunsheng Wang, Jiri Pyörälä, et al.
Forest Ecosystems (2019) Vol. 6, Iss. 1
Open Access | Times Cited: 123
Forest Inventory with Long Range and High-Speed Personal Laser Scanning (PLS) and Simultaneous Localization and Mapping (SLAM) Technology
Christoph Gollob, Tim Ritter, Arne Nothdurft
Remote Sensing (2020) Vol. 12, Iss. 9, pp. 1509-1509
Open Access | Times Cited: 121
Estimating Forest Structure from UAV-Mounted LiDAR Point Cloud Using Machine Learning
Romain Neuville, Jordan Bates, François Jonard
Remote Sensing (2021) Vol. 13, Iss. 3, pp. 352-352
Open Access | Times Cited: 104
Upscaling Forest Biomass from Field to Satellite Measurements: Sources of Errors and Ways to Reduce Them
Maxime Réjou‐Méchain, Nicolas Barbier, Pierre Couteron, et al.
Surveys in Geophysics (2019) Vol. 40, Iss. 4, pp. 881-911
Closed Access | Times Cited: 102
Estimation of aboveground biomass of Robinia pseudoacacia forest in the Yellow River Delta based on UAV and Backpack LiDAR point clouds
Jinbo Lu, Hong Wang, Shuhong Qin, et al.
International Journal of Applied Earth Observation and Geoinformation (2019) Vol. 86, pp. 102014-102014
Open Access | Times Cited: 95
Automatic Clearance Anomaly Detection for Transmission Line Corridors Utilizing UAV-Borne LIDAR Data
Chi Chen, Bisheng Yang, Shuang Song, et al.
Remote Sensing (2018) Vol. 10, Iss. 4, pp. 613-613
Open Access | Times Cited: 89
Mapping Tree Species Using Advanced Remote Sensing Technologies: A State-of-the-Art Review and Perspective
Ruiliang Pu
Journal of Remote Sensing (2021) Vol. 2021
Open Access | Times Cited: 85
Very High Density Point Clouds from UAV Laser Scanning for Automatic Tree Stem Detection and Direct Diameter Measurement
Karel Kuželka, Martin Slavík, Peter Surový
Remote Sensing (2020) Vol. 12, Iss. 8, pp. 1236-1236
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
Tackling unresolved questions in forest ecology: The past and future role of simulation models
Isabelle Maréchaux, Fanny Langerwisch, Andreas Huth, et al.
Ecology and Evolution (2021) Vol. 11, Iss. 9, pp. 3746-3770
Open Access | Times Cited: 73
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