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:

Comparison of PROSAIL Model Inversion Methods for Estimating Leaf Chlorophyll Content and LAI Using UAV Imagery for Hemp Phenotyping
Giorgio Impollonia, Michele Croci, Henri Blandinières, et al.
Remote Sensing (2022) Vol. 14, Iss. 22, pp. 5801-5801
Open Access | Times Cited: 22

Showing 22 citing articles:

An Overview of Machine Learning Applications on Plant Phenotyping, with a Focus on Sunflower
Luana Centorame, Thomas Gasperini, Alessio Ilari, et al.
Agronomy (2024) Vol. 14, Iss. 4, pp. 719-719
Open Access | Times Cited: 9

Combining features selection strategy and features fusion strategy for SPAD estimation of winter wheat based on UAV multispectral imagery
Xiangxiang Su, 櫻井 克年, Hiba Shaghaleh, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 8

Fast and Selective Luminescent Sensing by Langmuir–Schaeffer Films Based on Controlled Assembly of Perylene Bisimide Modified with A Cyclometalated AuIII Complex
Jing Zhang, Zhiwei Shi, Ke Liu, et al.
Angewandte Chemie International Edition (2023) Vol. 62, Iss. 52
Closed Access | Times Cited: 13

Comparative analysis of multi-source data for machine learning-based LAI estimation in Argania spinosa
Mohamed Mouafik, Fouad Mounir, Felix Antoine Audet, et al.
Advances in Space Research (2024) Vol. 73, Iss. 10, pp. 4976-4987
Closed Access | Times Cited: 5

UAV-based stomatal conductance estimation under water stress using the PROSAIL model coupled with meteorological factors
Ning Yang, Zhitao Zhang, X. F. Yang, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 137, pp. 104425-104425
Open Access

What Is the Predictive Capacity of Sesamum indicum L. Bioparameters Using Machine Learning with Red–Green–Blue (RGB) Images?
Edimir Xavier Leal Ferraz, Alan Cézar Bezerra, Raquele Mendes de Lira, et al.
AgriEngineering (2025) Vol. 7, Iss. 3, pp. 64-64
Open Access

A UAV-based hybrid approach for improving aboveground dry biomass estimation of winter wheat
Zhao Yu, Haikuan Feng, Shaoyu Han, et al.
European Journal of Agronomy (2025) Vol. 168, pp. 127638-127638
Closed Access

An efficient retrieval method on Google Earth Engine and comparison with hybrid methods: a case study of leaf area index retrieval
Sijia Li, Zhiguang Tang, Kaisen Ma, et al.
International Journal of Digital Earth (2025) Vol. 18, Iss. 1
Open Access

Coefficient of variation method combined with XGboost ensemble model for wheat growth monitoring
Xinyan Li, Changchun Li, Fuchen Guo, et al.
Frontiers in Plant Science (2024) Vol. 14
Open Access | Times Cited: 3

Upscaling and downscaling approaches for early season rice yield prediction using Sentinel-2 and machine learning for precision nitrogen fertilisation
Giorgio Impollonia, Michele Croci, Stefano Amaducci
Computers and Electronics in Agriculture (2024) Vol. 227, pp. 109603-109603
Open Access | Times Cited: 3

Estimation of above ground biomass, biophysical and quality parameters of spinach (Spinacia Oleracea L.) using Sentinel-2 to support the supply chain
Andrea Marcone, Giorgio Impollonia, Michele Croci, et al.
Scientia Horticulturae (2023) Vol. 325, pp. 112641-112641
Open Access | Times Cited: 7

Multi-environment assessment of a yellow hemp (Cannabis sativa L.) cultivar’s eco-physiology and productivity under varying levels of nitrogen fertilisation
Henri Blandinières, Michele Croci, Giorgio Impollonia, et al.
Industrial Crops and Products (2023) Vol. 195, pp. 116360-116360
Open Access | Times Cited: 5

A PROSAIL model with a vegetation index lookup table optimized with in-situ statistics for rapeseed leaf area index estimation using diverse unmanned aerial vehicle sensors in the Yangtze River Basin
Chufeng Wang, Chenghai Yang, Jian Zhang, et al.
Computers and Electronics in Agriculture (2023) Vol. 215, pp. 108418-108418
Closed Access | Times Cited: 5

Potato Leaf Chlorophyll Content Estimation through Radiative Transfer Modeling and Active Learning
Yuanyuan Ma, Chunxia Qiu, Jie Zhang, et al.
Agronomy (2023) Vol. 13, Iss. 12, pp. 3071-3071
Open Access | Times Cited: 5

Estimating canopy nitrogen content by coupling PROSAIL-PRO with a nitrogen allocation model
Dong Li, Yapeng Wu, Katja Berger, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 135, pp. 104280-104280
Open Access | Times Cited: 1

Vegetation spectra as an integrated measure to explain underlying soil characteristics: a review of recent advances
Willibroad Buma, Andrei Abelev, Trina Merrick
Frontiers in Environmental Science (2024) Vol. 12
Open Access

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