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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:

UAV-Based Photogrammetric Tree Height Measurement for Intensive Forest Monitoring
Stuart Krause, Tanja Sanders, Jan‐Peter Mund, et al.
Remote Sensing (2019) Vol. 11, Iss. 7, pp. 758-758
Open Access | Times Cited: 167

Showing 1-25 of 167 citing articles:

A Review on Unmanned Aerial Vehicle Remote Sensing: Platforms, Sensors, Data Processing Methods, and Applications
Zhengxin Zhang, Lixue Zhu
Drones (2023) Vol. 7, Iss. 6, pp. 398-398
Open Access | Times Cited: 137
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: 123
Close-Range Remote Sensing of Forests: The state of the art, challenges, and opportunities for systems and data acquisitions
Xinlian Liang, Antero Kukko, Ivan Balenović, et al.
IEEE Geoscience and Remote Sensing Magazine (2022) Vol. 10, Iss. 3, pp. 32-71
Open Access | Times Cited: 73
Exploring artificial intelligence for applications of drones in forest ecology and management
Alexander Buchelt, Alexander Adrowitzer, Peter Kieseberg, et al.
Forest Ecology and Management (2023) Vol. 551, pp. 121530-121530
Open Access | Times Cited: 52
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: 119
Measuring Tree Height with Remote Sensing—A Comparison of Photogrammetric and LiDAR Data with Different Field Measurements
Selina Ganz, Yannek Käber, Petra Adler
Forests (2019) Vol. 10, Iss. 8, pp. 694-694
Open Access | Times Cited: 102
Is field-measured tree height as reliable as believed – Part II, A comparison study of tree height estimates from conventional field measurement and low-cost close-range remote sensing in a deciduous forest
Luka Jurjević, Xinlian Liang, Mateo Gašparović, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 169, pp. 227-241
Open Access | Times Cited: 101
Recent Advances in Unmanned Aerial Vehicle Forest Remote Sensing—A Systematic Review. Part I: A General Framework
Riccardo Dainelli, Piero Toscano, Salvatore Filippo Di Gennaro, et al.
Forests (2021) Vol. 12, Iss. 3, pp. 327-327
Open Access | Times Cited: 82
Recent Advances in Unmanned Aerial Vehicles Forest Remote Sensing—A Systematic Review. Part II: Research Applications
Riccardo Dainelli, Piero Toscano, Salvatore Filippo Di Gennaro, et al.
Forests (2021) Vol. 12, Iss. 4, pp. 397-397
Open Access | Times Cited: 82
Earth Observation Based Monitoring of Forests in Germany: A Review
Stefanie Holzwarth, Frank Thonfeld, Sahra Abdullahi, et al.
Remote Sensing (2020) Vol. 12, Iss. 21, pp. 3570-3570
Open Access | Times Cited: 77
Influence of Agisoft Metashape Parameters on UAS Structure from Motion Individual Tree Detection from Canopy Height Models
Wade T. Tinkham, Neal C. Swayze
Forests (2021) Vol. 12, Iss. 2, pp. 250-250
Open Access | Times Cited: 74
Comparison of Classical Methods and Mask R-CNN for Automatic Tree Detection and Mapping Using UAV Imagery
Kunyong Yu, Zhenbang Hao, Christopher J. Post, et al.
Remote Sensing (2022) Vol. 14, Iss. 2, pp. 295-295
Open Access | Times Cited: 65
Performance and Sensitivity of Individual Tree Segmentation Methods for UAV-LiDAR in Multiple Forest Types
Kaisen Ma, Zhenxiong Chen, Liyong Fu, et al.
Remote Sensing (2022) Vol. 14, Iss. 2, pp. 298-298
Open Access | Times Cited: 44
Comparison of Aerial and Ground 3D Point Clouds for Canopy Size Assessment in Precision Viticulture
Andrea Pagliai, Marco Ammoniaci, Daniele Sarri, et al.
Remote Sensing (2022) Vol. 14, Iss. 5, pp. 1145-1145
Open Access | Times Cited: 42
Influence of flight parameters on UAS-based monitoring of tree height, diameter, and density
Neal C. Swayze, Wade T. Tinkham, Jody C. Vogeler, et al.
Remote Sensing of Environment (2021) Vol. 263, pp. 112540-112540
Open Access | Times Cited: 55
The Digital Forest: Mapping a Decade of Knowledge on Technological Applications for Forest Ecosystems
Sophie Nitoslawski, K. Wong‐Stevens, James W.N. Steenberg, et al.
Earth s Future (2021) Vol. 9, Iss. 8
Open Access | Times Cited: 48
Unmanned aerial vehicles (UAV)-based canopy height modeling under leaf-on and leaf-off conditions for determining tree height and crown diameter (case study: Hyrcanian mixed forest)
Vahid Nasiri, Ali Asghar Darvishsefat, Hossein Arefi, et al.
Canadian Journal of Forest Research (2021) Vol. 51, Iss. 7, pp. 962-971
Closed Access | Times Cited: 43
Individual Tree Canopy Parameters Estimation Using UAV-Based Photogrammetric and LiDAR Point Clouds in an Urban Park
Ebadat Ghanbari Parmehr, Marco Amati
Remote Sensing (2021) Vol. 13, Iss. 11, pp. 2062-2062
Open Access | Times Cited: 42
Teaching Innovation in STEM Education Using an Unmanned Aerial Vehicle (UAV)
Madeleine M. Bolick, Elena A. Mikhailova, Christopher J. Post
Education Sciences (2022) Vol. 12, Iss. 3, pp. 224-224
Open Access | Times Cited: 31
Inter-comparison of remote sensing platforms for height estimation of mango and avocado tree crowns
Dan Wu, Kasper Johansen, Stuart Phinn, et al.
International Journal of Applied Earth Observation and Geoinformation (2020) Vol. 89, pp. 102091-102091
Open Access | Times Cited: 49
Estimating Tree Height and Volume Using Unmanned Aerial Vehicle Photography and SfM Technology, with Verification of Result Accuracy
Shohei Kameyama, Katsuaki Sugiura
Drones (2020) Vol. 4, Iss. 2, pp. 19-19
Open Access | Times Cited: 48
Detecting Individual Tree Attributes and Multispectral Indices Using Unmanned Aerial Vehicles: Applications in a Pine Clonal Orchard
José Luis Gallardo-Salazar, Marin Pompa-García
Remote Sensing (2020) Vol. 12, Iss. 24, pp. 4144-4144
Open Access | Times Cited: 43
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
Assessing tree height and density of a young forest using a consumer unmanned aerial vehicle (UAV)
Zhenbang Hao, Lili Lin, Christopher J. Post, et al.
New Forests (2021) Vol. 52, Iss. 5, pp. 843-862
Closed Access | Times Cited: 37
Mobile terrestrial laser scanner vs. UAV photogrammetry to estimate woody crop canopy parameters – Part 2: Comparison for different crops and training systems
Jorge Torres‐Sánchez, Alexandre Escolà, Ana Isabel de Castro, et al.
Computers and Electronics in Agriculture (2023) Vol. 212, pp. 108083-108083
Open Access | Times Cited: 13
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