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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 Individual Tree Height Information Derived from Field Surveys, LiDAR and UAV-DAP for High-Value Timber Species in Northern Japan
Kyaw Thu Moe, Toshiaki Owari, Naoyuki Furuya, et al.
Forests (2020) Vol. 11, Iss. 2, pp. 223-223
Open Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

UAV-Based Forest Health Monitoring: A Systematic Review
Simon Ecke, Jan Dempewolf, Julian Frey, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3205-3205
Open Access | Times Cited: 145
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: 112
Mobile 3D scan LiDAR: a literature review
Francesco Di Stefano, Stefano Chiappini, Alban Gorreja, et al.
Geomatics Natural Hazards and Risk (2021) Vol. 12, Iss. 1, pp. 2387-2429
Open Access | Times Cited: 105
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
Development and Performance Evaluation of a Very Low-Cost UAV-Lidar System for Forestry Applications
Tianyu Hu, Xiliang Sun, Yanjun Su, et al.
Remote Sensing (2020) Vol. 13, Iss. 1, pp. 77-77
Open Access | Times Cited: 126
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
Estimation of tree height and aboveground biomass of coniferous forests in North China using stereo ZY-3, multispectral Sentinel-2, and DEM data
Yueting Wang, Xiaoli Zhang, Zhengqi Guo
Ecological Indicators (2021) Vol. 126, pp. 107645-107645
Open Access | Times Cited: 63
Review of Photogrammetric and Lidar Applications of UAV
Ľudovít Kovanič, Branislav Topitzer, Patrik Peťovský, et al.
Applied Sciences (2023) Vol. 13, Iss. 11, pp. 6732-6732
Open Access | Times Cited: 26
Landsat assessment of variable spectral recovery linked to post-fire forest structure in dry sub-boreal forests
Sarah Smith‐Tripp, Nicholas C. Coops, Christopher Mulverhill, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 208, pp. 121-135
Open Access | Times Cited: 11
A novel approach for surveying flowers as a proxy for bee pollinators using drone images
Michele Torresani, David Kleijn, Jan Peter Reinier de Vries, et al.
Ecological Indicators (2023) Vol. 149, pp. 110123-110123
Open Access | Times Cited: 18
Digital Aerial Photogrammetry (DAP) and Airborne Laser Scanning (ALS) as Sources of Information about Tree Height: Comparisons of the Accuracy of Remote Sensing Methods for Tree Height Estimation
Miłosz Mielcarek, Agnieszka Kamińska, Krzysztof Stereńczak
Remote Sensing (2020) Vol. 12, Iss. 11, pp. 1808-1808
Open Access | Times Cited: 42
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
Remote estimation of grafted apple tree trunk diameter in modern orchard with RGB and point cloud based on SOLOv2
Xiaoming Sun, Wentai Fang, Changqing Gao, et al.
Computers and Electronics in Agriculture (2022) Vol. 199, pp. 107209-107209
Closed Access | Times Cited: 25
Comparing Mobile Laser Scanner and manual measurements for dendrometric variables estimation in a black pine (Pinus nigra Arn.) plantation
Stefano Chiappini, Roberto Pierdicca, Francesco Malandra, et al.
Computers and Electronics in Agriculture (2022) Vol. 198, pp. 107069-107069
Closed Access | Times Cited: 24
Big data-based urban greenness in Chinese megalopolises and possible contribution to air quality control
Wenjie Wang, Panli Tian, Jinghua Zhang, et al.
The Science of The Total Environment (2022) Vol. 824, pp. 153834-153834
Open Access | Times Cited: 22
A methodological framework to quantify riparian corridor evolution by image classification and consecutive LiDAR analysis
Daniel Díaz Alba, Rafael Jiménez Lao, Diego García de Jalón, et al.
CATENA (2025) Vol. 249, pp. 108705-108705
Closed Access
A framework for upscaling aboveground biomass from an individual tree to landscape level and qualifying the multiscale spatial uncertainties for secondary forests
Ye Ma, Jungho Im, Zhen Zhen, et al.
Geo-spatial Information Science (2025), pp. 1-20
Open Access
Improving the Individual Tree Parameters Estimation of a Complex Mixed Conifer—Broadleaf Forest Using a Combination of Structural, Textural, and Spectral Metrics Derived from Unmanned Aerial Vehicle RGB and Multispectral Imagery
Jeyavanan Karthigesu, Toshiaki Owari, Satoshi Tsuyuki, et al.
Geomatics (2025) Vol. 5, Iss. 1, pp. 12-12
Open Access
Comparison of UAV-Based LiDAR and Photogrammetric Point Cloud for Individual Tree Species Classification of Urban Areas
Qixia Man, Xinming Yang, Haijian Liu, et al.
Remote Sensing (2025) Vol. 17, Iss. 7, pp. 1212-1212
Open Access
Analysis of the Suitability of High-Resolution DEM Obtained Using ALS and UAS (SfM) for the Identification of Changes and Monitoring the Development of Selected Geohazards in the Alpine Environment—A Case Study in High Tatras, Slovakia
Ľudovít Kovanič, Peter Blišťan, R. Urban, et al.
Remote Sensing (2020) Vol. 12, Iss. 23, pp. 3901-3901
Open Access | Times Cited: 38
Application of UAV Photogrammetry with LiDAR Data to Facilitate the Estimation of Tree Locations and DBH Values for High-Value Timber Species in Northern Japanese Mixed-Wood Forests
Kyaw Thu Moe, Toshiaki Owari, Naoyuki Furuya, et al.
Remote Sensing (2020) Vol. 12, Iss. 17, pp. 2865-2865
Open Access | Times Cited: 33
Optimal integration of forest inventory data and aerial image-based canopy height models for forest stand management
Ardalan Daryaei, Zoran Trailović, Hormoz Sohrabi, et al.
Forest Ecosystems (2025), pp. 100299-100299
Open Access
UAV-enabled evaluation of forestry plantations: A comprehensive assessment of laser scanning and photogrammetric approaches
Robin J. L. Hartley, Sadeepa Jayathunga, Joane S. Elleouet, et al.
(2025)
Closed Access
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