Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Evaluating biostimulants via high-throughput field phenotyping: Biophysical traits retrieval through PROSAIL inversion
Giulia Antonucci, Giorgio Impollonia, Michele Croci, et al.
Smart Agricultural Technology (2022) Vol. 3, pp. 100067-100067
Open Access | Times Cited: 20

Showing 20 citing articles:

Drones in vegetable crops: A systematic literature review
Marco Canicattì, Mariangela Vallone
Smart Agricultural Technology (2024) Vol. 7, pp. 100396-100396
Open Access | Times Cited: 23
PROSAIL-Net: A transfer learning-based dual stream neural network to estimate leaf chlorophyll and leaf angle of crops from UAV hyperspectral images
Sourav Bhadra, Vasit Sagan, Supria Sarkar, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 210, pp. 1-24
Open Access | Times Cited: 18
Quick and Effective Evaluation Methods for Biocontrol Agents and Biostimulants Against Phytopathogenic Fungi Relevant for Various Cropping Systems
María Cecilia Pérez‐Pizá, Francisco Sautua, Sławomir Kocira, et al.
Plant Pathology (2025)
Closed Access | Times Cited: 2
Simulation-Based Decision Support for Agrivoltaic Systems
Yuri Bellone, Michele Croci, Giorgio Impollonia, et al.
Applied Energy (2024) Vol. 369, pp. 123490-123490
Open Access | Times Cited: 6
Why make inverse modeling and which methods to use in agriculture? A review
Yulin Zhang, Léo Pichon, Sébastien Roux, et al.
Computers and Electronics in Agriculture (2024) Vol. 217, pp. 108624-108624
Open Access | Times Cited: 5
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
Harnessing biostimulants for sustainable agriculture: innovations, challenges, and future prospects
Amine Khoulati, Sabir Ouahhoud, Mohamed Taibi, et al.
Discover Agriculture (2025) Vol. 3, Iss. 1
Open Access
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
Crop stress detection from UAVs: best practices and lessons learned for exploiting sensor synergies
Erekle Chakhvashvili, Miriam Machwitz, Michal Antala, et al.
Precision Agriculture (2024) Vol. 25, Iss. 5, pp. 2614-2642
Open Access | Times Cited: 2
UAV Remote Sensing for High-Throughput Phenotyping and for Yield Prediction of <em>Miscanthus</em> by Machine Learning Techniques
Giorgio Impollonia, Michele Croci, Andrea Ferrarini, et al.
(2022)
Open Access | Times Cited: 11
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
A Systematic Review of Radiative Transfer Models for Crop Yield Prediction and Crop Traits Retrieval
Rana Ahmad Faraz Ishaq, Guanhua Zhou, Tian Chen, et al.
Remote Sensing (2023) Vol. 16, Iss. 1, pp. 121-121
Open Access | Times Cited: 5
UAV Remote Sensing for High-Throughput Phenotyping and for Yield Prediction of Miscanthus by Machine Learning Techniques
Giorgio Impollonia, Michele Croci, Andrea Ferrarini, et al.
Remote Sensing (2022) Vol. 14, Iss. 12, pp. 2927-2927
Open Access | Times Cited: 8
Inversion of biophysical parameters of potato based on an active learning pool-based sampling strategy
Yuanyuan Ma, Xiaoyu Song, Jie Zhang, et al.
International Journal of Remote Sensing (2024), pp. 1-20
Closed Access | Times Cited: 1
Field Plant Monitoring from Macro to Micro Scale: Feasibility and Validation of Combined Field Monitoring Approaches from Remote to in Vivo to Cope with Drought Stress in Tomato
Filippο Vurro, Michele Croci, Giorgio Impollonia, et al.
Plants (2023) Vol. 12, Iss. 22, pp. 3851-3851
Open Access | Times Cited: 2
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
Development of low-cost multifunctional robotic apparatus for high-throughput plant phenotyping
J. Mach, Lukáš Krauz, Petr Páta, et al.
Smart Agricultural Technology (2024), pp. 100654-100654
Open Access
Processing Tomato and Potato Response to Biostimulant Application in Open Field: An Overview
Marco Francesco Golin, Vittoria Giannini, Marco Bagarello, et al.
Agronomy (2024) Vol. 14, Iss. 11, pp. 2699-2699
Open Access
Multisensor Analysis for Biostimulants Effect Detection in Sustainable Viticulture
Alberto Sassu, Alessandro Deidda, Luca Mercenaro, et al.
Agriculture (2024) Vol. 14, Iss. 12, pp. 2221-2221
Open Access
Effect of chitosan on growth and productive parameters in broccoli plants (Brassica oleracea L. var. Calabrese)
Juan José Reyes-Pérez, Bernardo Murillo‐Amador, Ramón Raul Chila Macías, et al.
Revista de la Facultad de Agronomía (2023) Vol. 40, Iss. 3, pp. e234028-e234028
Open Access
Page 1

Scroll to top