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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:

Determining tree height and crown diameter from high-resolution UAV imagery
Dimitrios Panagiotidis, Azadeh Abdollahnejad, Peter Surový, et al.
International Journal of Remote Sensing (2016) Vol. 38, Iss. 8-10, pp. 2392-2410
Closed Access | Times Cited: 303

Showing 1-25 of 303 citing articles:

Individual Tree Detection from Unmanned Aerial Vehicle (UAV) Derived Canopy Height Model in an Open Canopy Mixed Conifer Forest
Midhun Mohan, Carlos Alberto Silva, Carine Klauberg, et al.
Forests (2017) Vol. 8, Iss. 9, pp. 340-340
Open Access | Times Cited: 346
Forestry Remote Sensing from Unmanned Aerial Vehicles: A Review Focusing on the Data, Processing and Potentialities
Nathalie Guimarães, Luís Pádua, Pedro Marques, et al.
Remote Sensing (2020) Vol. 12, Iss. 6, pp. 1046-1046
Open Access | Times Cited: 210
Unmanned Aerial Vehicles in Agriculture: A Survey
Jaime del Cerro, Christyan Cruz Ulloa, Antonio Barrientos, et al.
Agronomy (2021) Vol. 11, Iss. 2, pp. 203-203
Open Access | Times Cited: 184
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: 172
Individual mangrove tree measurement using UAV-based LiDAR data: Possibilities and challenges
Dameng Yin, Le Wang
Remote Sensing of Environment (2019) Vol. 223, pp. 34-49
Closed Access | Times Cited: 162
A Review on UAV Wireless Charging: Fundamentals, Applications, Charging Techniques and Standards
Prithvi Krishna Chittoor, C. Bharatiraja, Lucian Mihet‐Popa
IEEE Access (2021) Vol. 9, pp. 69235-69266
Open Access | Times Cited: 159
Integration of UAV, Sentinel-1, and Sentinel-2 Data for Mangrove Plantation Aboveground Biomass Monitoring in Senegal
José Antonio Suárez Navarro, Nur Algeet, Alfredo Fernández-Landa, et al.
Remote Sensing (2019) Vol. 11, Iss. 1, pp. 77-77
Open Access | Times Cited: 157
A comprehensive review on recent applications of unmanned aerial vehicle remote sensing with various sensors for high-throughput plant phenotyping
Lei Feng, Shuangshuang Chen, Chu Zhang, et al.
Computers and Electronics in Agriculture (2021) Vol. 182, pp. 106033-106033
Closed Access | Times Cited: 156
The application of Unmanned Aerial Vehicles (UAVs) to estimate above-ground biomass of mangrove ecosystems
Alejandro Navarro, Mary Young, Blake M. Allan, et al.
Remote Sensing of Environment (2020) Vol. 242, pp. 111747-111747
Closed Access | Times Cited: 148
Managing mangrove forests from the sky: Forest inventory using field data and Unmanned Aerial Vehicle (UAV) imagery in the Matang Mangrove Forest Reserve, peninsular Malaysia
Viviana Otero, Ruben Van De Kerchove, Behara Satyanarayana, et al.
Forest Ecology and Management (2018) Vol. 411, pp. 35-45
Closed Access | Times Cited: 156
Estimating Tree Height and Diameter at Breast Height (DBH) from Digital Surface Models and Orthophotos Obtained with an Unmanned Aerial System for a Japanese Cypress (Chamaecyparis obtusa) Forest
Kotaro Iizuka, Taichiro Yonehara, Masayuki Itoh, et al.
Remote Sensing (2017) Vol. 10, Iss. 1, pp. 13-13
Open Access | Times Cited: 140
Assessing spring phenology of a temperate woodland: A multiscale comparison of ground, unmanned aerial vehicle and Landsat satellite observations
Elias Fernando Berra, Rachel Gaulton, Stuart Barr
Remote Sensing of Environment (2019) Vol. 223, pp. 229-242
Closed Access | Times Cited: 121
Convolutional Neural Networks accurately predict cover fractions of plant species and communities in Unmanned Aerial Vehicle imagery
Teja Kattenborn, Jana Eichel, Susan K. Wiser, et al.
Remote Sensing in Ecology and Conservation (2020) Vol. 6, Iss. 4, pp. 472-486
Open Access | Times Cited: 120
Comparison of ALS- and UAV(SfM)-derived high-density point clouds for individual tree detection in Eucalyptus plantations
Juan Guerra-Hernández, Diogo Nepomuceno Cosenza, Luiz Carlos Estraviz Rodriguez, et al.
International Journal of Remote Sensing (2018) Vol. 39, Iss. 15-16, pp. 5211-5235
Closed Access | Times Cited: 113
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: 104
Use of Multi-Temporal UAV-Derived Imagery for Estimating Individual Tree Growth in Pinus pinea Stands
Juan Guerra-Hernández, Eduardo González‐Ferreiro, Vicente J. Monleón, et al.
Forests (2017) Vol. 8, Iss. 8, pp. 300-300
Open Access | Times Cited: 103
Unmanned aerial vehicles (UAV) for assessment of qualitative classification of Norway spruce in temperate forest stands
Olga Brovkina, Emil Cienciala, Peter Surový, et al.
Geo-spatial Information Science (2018) Vol. 21, Iss. 1, pp. 12-20
Open Access | Times Cited: 103
Individual Tree Crown Detection and Delineation From Very-High-Resolution UAV Images Based on Bias Field and Marker-Controlled Watershed Segmentation Algorithms
Hongyu Huang, Xu Li, Chongcheng Chen
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2018) Vol. 11, Iss. 7, pp. 2253-2262
Closed Access | Times Cited: 102
Using Multi-Spectral UAV Imagery to Extract Tree Crop Structural Properties and Assess Pruning Effects
Kasper Johansen, Tri Raharjo, Matthew F. McCabe
Remote Sensing (2018) Vol. 10, Iss. 6, pp. 854-854
Open Access | Times Cited: 99
The Use of UAV Mounted Sensors for Precise Detection of Bark Beetle Infestation
Tomáš Klouček, Jan Komárek, Peter Surový, et al.
Remote Sensing (2019) Vol. 11, Iss. 13, pp. 1561-1561
Open Access | Times Cited: 95
Extracting apple tree crown information from remote imagery using deep learning
Jintao Wu, Guijun Yang, Hao Yang, et al.
Computers and Electronics in Agriculture (2020) Vol. 174, pp. 105504-105504
Closed Access | Times Cited: 89
Individual tree crown delineation from high-resolution UAV images in broadleaf forest
Mojdeh Miraki, Hormoz Sohrabi, Parviz Fatehi, et al.
Ecological Informatics (2020) Vol. 61, pp. 101207-101207
Closed Access | Times Cited: 87
Monitoring the vegetation vigor in heterogeneous citrus and olive orchards. A multiscale object-based approach to extract trees’ crowns from UAV multispectral imagery
Giuseppe Modica, Gaetano Messina, Giandomenico De Luca, et al.
Computers and Electronics in Agriculture (2020) Vol. 175, pp. 105500-105500
Closed Access | Times Cited: 86
Estimating Mangrove Tree Biomass and Carbon Content: A Comparison of Forest Inventory Techniques and Drone Imagery
Alice R. Jones, Ramesh Raja Segaran, Kenneth Clarke, et al.
Frontiers in Marine Science (2020) Vol. 6
Open Access | Times Cited: 80
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: 78
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