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:
Reflectance Spectroscopy for the Classification and Prediction of Pigments in Agronomic Crops
Renan Falcioni, Werner Camargos Antunes, José Alexandre Melo Demattê, et al.
Plants (2023) Vol. 12, Iss. 12, pp. 2347-2347
Open Access | Times Cited: 11
Renan Falcioni, Werner Camargos Antunes, José Alexandre Melo Demattê, et al.
Plants (2023) Vol. 12, Iss. 12, pp. 2347-2347
Open Access | Times Cited: 11
Showing 11 citing articles:
Estimation of Biochemical Compounds in Tradescantia Leaves Using VIS-NIR-SWIR Hyperspectral and Chlorophyll a Fluorescence Sensors
Renan Falcioni, Roney Berti de Oliveira, Marcelo Luiz Chicati, et al.
Remote Sensing (2024) Vol. 16, Iss. 11, pp. 1910-1910
Open Access | Times Cited: 4
Renan Falcioni, Roney Berti de Oliveira, Marcelo Luiz Chicati, et al.
Remote Sensing (2024) Vol. 16, Iss. 11, pp. 1910-1910
Open Access | Times Cited: 4
Leafy vegetable freshness identification using hyperspectral imaging with deep learning approaches
Mengyu He, Cheng Li, Zeyi Cai, et al.
Infrared Physics & Technology (2024) Vol. 138, pp. 105216-105216
Closed Access | Times Cited: 2
Mengyu He, Cheng Li, Zeyi Cai, et al.
Infrared Physics & Technology (2024) Vol. 138, pp. 105216-105216
Closed Access | Times Cited: 2
Hyperspectral and Chlorophyll Fluorescence Analyses of Comparative Leaf Surfaces Reveal Cellular Influences on Leaf Optical Properties in Tradescantia Plants
Renan Falcioni, Werner Camargos Antunes, Roney Berti de Oliveira, et al.
Cells (2024) Vol. 13, Iss. 11, pp. 952-952
Open Access | Times Cited: 2
Renan Falcioni, Werner Camargos Antunes, Roney Berti de Oliveira, et al.
Cells (2024) Vol. 13, Iss. 11, pp. 952-952
Open Access | Times Cited: 2
Non−Invasive Assessment, Classification, and Prediction of Biophysical Parameters Using Reflectance Hyperspectroscopy
Renan Falcioni, Gláucio Leboso Alemparte Abrantes dos Santos, Luís Guilherme Teixeira Crusiol, et al.
Plants (2023) Vol. 12, Iss. 13, pp. 2526-2526
Open Access | Times Cited: 7
Renan Falcioni, Gláucio Leboso Alemparte Abrantes dos Santos, Luís Guilherme Teixeira Crusiol, et al.
Plants (2023) Vol. 12, Iss. 13, pp. 2526-2526
Open Access | Times Cited: 7
Chemometric Analysis for the Prediction of Biochemical Compounds in Leaves Using UV-VIS-NIR-SWIR Hyperspectroscopy
Renan Falcioni, João Vitor Ferreira Gonçalves, Karym Mayara de Oliveira, et al.
Plants (2023) Vol. 12, Iss. 19, pp. 3424-3424
Open Access | Times Cited: 6
Renan Falcioni, João Vitor Ferreira Gonçalves, Karym Mayara de Oliveira, et al.
Plants (2023) Vol. 12, Iss. 19, pp. 3424-3424
Open Access | Times Cited: 6
Assessment of Combined Reflectance, Transmittance, and Absorbance Hyperspectral Sensors for Prediction of Chlorophyll a Fluorescence Parameters
Renan Falcioni, Werner Camargos Antunes, Roney Berti de Oliveira, et al.
Remote Sensing (2023) Vol. 15, Iss. 20, pp. 5067-5067
Open Access | Times Cited: 6
Renan Falcioni, Werner Camargos Antunes, Roney Berti de Oliveira, et al.
Remote Sensing (2023) Vol. 15, Iss. 20, pp. 5067-5067
Open Access | Times Cited: 6
Fluorescence and Hyperspectral Sensors for Nondestructive Analysis and Prediction of Biophysical Compounds in the Green and Purple Leaves of Tradescantia Plants
Renan Falcioni, Roney Berti de Oliveira, Marcelo Luiz Chicati, et al.
Sensors (2024) Vol. 24, Iss. 19, pp. 6490-6490
Open Access | Times Cited: 1
Renan Falcioni, Roney Berti de Oliveira, Marcelo Luiz Chicati, et al.
Sensors (2024) Vol. 24, Iss. 19, pp. 6490-6490
Open Access | Times Cited: 1
A pipeline for processing hyperspectral images, with a case of melanin-containing barley grains as an example
I. D. Busov, М. А. Генаев, Е. Г. Комышев, et al.
Vavilov Journal of Genetics and Breeding (2024) Vol. 28, Iss. 4, pp. 443-455
Open Access
I. D. Busov, М. А. Генаев, Е. Г. Комышев, et al.
Vavilov Journal of Genetics and Breeding (2024) Vol. 28, Iss. 4, pp. 443-455
Open Access
Predictive modelling of chlorophyll in Mombaça grass leaves by hyperspectral reflectance data and machine learning
Miller Ruiz Sánchez, Carlos Augusto Alves Cardoso Silva, José Alexandre Melo Demattê, et al.
Grass and Forage Science (2024)
Closed Access
Miller Ruiz Sánchez, Carlos Augusto Alves Cardoso Silva, José Alexandre Melo Demattê, et al.
Grass and Forage Science (2024)
Closed Access
Anthocyanin expressed in leaves boosting chlorophyll-based dye-sensitized solar cells performance
Marcelo Alatzatianou Rodrigues
Next research. (2024) Vol. 1, Iss. 1, pp. 100013-100013
Closed Access
Marcelo Alatzatianou Rodrigues
Next research. (2024) Vol. 1, Iss. 1, pp. 100013-100013
Closed Access
From Tradition to Transformation: Deep and Self-Supervised Learning Approaches for Remote Sensing in Agriculture and Environmental Change
Mateus Pinto da Silva, Santiago Correa, Mariana Albuquerque Reynaud Schaefer, et al.
(2024)
Closed Access
Mateus Pinto da Silva, Santiago Correa, Mariana Albuquerque Reynaud Schaefer, et al.
(2024)
Closed Access
