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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:

Estimation of forage biomass and vegetation cover in grasslands using UAV imagery
Jérôme Théau, Étienne Lauzier-Hudon, Lydiane Aubé, et al.
PLoS ONE (2021) Vol. 16, Iss. 1, pp. e0245784-e0245784
Open Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

Detection of vegetation coverage changes in the Yellow River Basin from 2003 to 2020
Chenxi Liu, Xiaodong Zhang, Tong Wang, et al.
Ecological Indicators (2022) Vol. 138, pp. 108818-108818
Open Access | Times Cited: 142
A Review of Estimation Methods for Aboveground Biomass in Grasslands Using UAV
Clara Oliva Gonçalves Bazzo, Bahareh Kamali, Christoph Hütt, et al.
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 639-639
Open Access | Times Cited: 47
Monitoring Yield and Quality of Forages and Grassland in the View of Precision Agriculture Applications—A Review
Abid Ali, Hans‐Peter Kaul
Remote Sensing (2025) Vol. 17, Iss. 2, pp. 279-279
Open Access | Times Cited: 3
Optimal ranges of social-environmental drivers and their impacts on vegetation dynamics in Kazakhstan
Venkatesh Kolluru, Ranjeet John, Jiquan Chen, et al.
The Science of The Total Environment (2022) Vol. 847, pp. 157562-157562
Open Access | Times Cited: 61
Improved random forest classification model combined with C5.0 algorithm for vegetation feature analysis in non-agricultural environments
Tianyu Wang
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 11
Estimating aboveground biomass of grassland in central Asia mountainous areas using unmanned aerial vehicle vegetation indices and image textures – A case study of typical grassland in Tajikistan
Tianli Pan, Huping Ye, Xinyu Zhang, et al.
Environmental and Sustainability Indicators (2024) Vol. 22, pp. 100345-100345
Open Access | Times Cited: 9
Estimating fractional vegetation cover of maize under water stress from UAV multispectral imagery using machine learning algorithms
Yaxiao Niu, Wenting Han, Huihui Zhang, et al.
Computers and Electronics in Agriculture (2021) Vol. 189, pp. 106414-106414
Closed Access | Times Cited: 45
Remote sensing for monitoring rangeland condition: Current status and development of methods
Angus Retallack, Graeme Finlayson, Bertram Ostendorf, et al.
Environmental and Sustainability Indicators (2023) Vol. 19, pp. 100285-100285
Open Access | Times Cited: 19
Green roof substrates—A literature review
Shuraik Kader, Sreenivasulu Chadalavada, Lizny Jaufer, et al.
Frontiers in Built Environment (2022) Vol. 8
Open Access | Times Cited: 26
An Overview of Using Unmanned Aerial System Mounted Sensors to Measure Plant Above-Ground Biomass
Aliasghar Bazrafkan, Nadia Delavarpour, Peter G. Oduor, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3543-3543
Open Access | Times Cited: 14
Using deep learning to detect an indicator arid shrub in ultra-high-resolution UAV imagery
Angus Retallack, Graeme Finlayson, Bertram Ostendorf, et al.
Ecological Indicators (2022) Vol. 145, pp. 109698-109698
Open Access | Times Cited: 20
Grid grazing: A case study on the potential of combining virtual fencing and remote sensing for innovative grazing management on a grid base
Dina Hamidi, Christoph Hütt, Martin Komainda, et al.
Livestock Science (2023) Vol. 278, pp. 105373-105373
Open Access | Times Cited: 13
Utilizing Spectral, Structural and Textural Features for Estimating Oat Above-Ground Biomass Using UAV-Based Multispectral Data and Machine Learning
Rakshya Dhakal, Maitiniyazi Maimaitijiang, Jiyul Chang, et al.
Sensors (2023) Vol. 23, Iss. 24, pp. 9708-9708
Open Access | Times Cited: 12
Estimating vegetation and litter biomass fractions in rangelands using structure-from-motion and LiDAR datasets from unmanned aerial vehicles
José Manuel Fernández‐Guisuraga, Leonor Calvo, Josh Enterkine, et al.
Landscape Ecology (2024) Vol. 39, Iss. 10
Open Access | Times Cited: 4
Determining changes in building tilts based on UAV photogrammetry
Katarzyna Strząbała, Paweł Ćwiąkała, Wojciech Gruszczyński, et al.
Measurement (2022) Vol. 202, pp. 111772-111772
Open Access | Times Cited: 19
Classification of desert grassland species based on a local-global feature enhancement network and UAV hyperspectral remote sensing
Tao Zhang, Yuge Bi, Jianmin Du, et al.
Ecological Informatics (2022) Vol. 72, pp. 101852-101852
Closed Access | Times Cited: 19
Unmanned aerial systems accurately map rangeland condition indicators in a dryland savannah
Vistorina Amputu, Nichola M. Knox, Andreas Braun, et al.
Ecological Informatics (2023) Vol. 75, pp. 102007-102007
Closed Access | Times Cited: 10
Prediction of pasture yield using machine learning-based optical sensing: a systematic review
Christoph Stumpe, Joerg Leukel, Tobias Zimpel
Precision Agriculture (2023) Vol. 25, Iss. 1, pp. 430-459
Open Access | Times Cited: 10
Are We Up to the Best Practises in Forage and Grassland Precision Harvest? A Review
Roberta Martelli, Abid Ali, Valda Rondelli, et al.
Grass and Forage Science (2025)
Open Access
Cover Crop Biomass Predictions with Unmanned Aerial Vehicle Remote Sensing and TensorFlow Machine Learning
Aakriti Poudel, D. R. Burns, Rejina Adhikari, et al.
Drones (2025) Vol. 9, Iss. 2, pp. 131-131
Open Access
Analysis of the relationship between vegetation indices and forage nutritional parameters in Mediterranean semi-arid rainfed grasslands
Paula Toro-Mújica, Javier Lozano‐Parra, Daniel Enríquez-Hidalgo
Journal of Arid Environments (2025) Vol. 228, pp. 105344-105344
Closed Access
In-Field Forage Biomass and Quality Prediction Using Image and VIS-NIR Proximal Sensing with Machine Learning and Covariance-Based Strategies for Livestock Management in Silvopastoral Systems
Claudia M. Serpa-Imbett, Erika L. Gómez-Palencia, Diego Andrés Medina Herrera, et al.
AgriEngineering (2025) Vol. 7, Iss. 4, pp. 111-111
Open Access
Developing Large-Scale Pasture Approaches to Quantify Forage Mass in Rangelands Using Drones
Michael T. Page, Humberto L. Perotto‐Baldivieso, J. Alfonso Ortega‐S., et al.
Rangeland Ecology & Management (2025) Vol. 100, pp. 111-120
Open Access
Integrating livestock and cropping systems: Interseeding cereal rye into corn for grazing
K.J. Soder, Paul R. Adler, Curtis J. Dell, et al.
Journal of Environmental Quality (2025)
Open Access
Analysis of the spatio-temporal characteristics and driving forces of greenness in mega urban agglomerations in China
Shaoyu Wang, Dongmei Yan, Yayang Lu, et al.
Ecological Indicators (2025) Vol. 174, pp. 113472-113472
Closed Access
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