
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:
Spectral Phenotyping of Physiological and Anatomical Leaf Traits Related with Maize Water Status
Lorenzo Cotrozzi, Raquel Peron, Mitchell R. Tuinstra, et al.
PLANT PHYSIOLOGY (2020) Vol. 184, Iss. 3, pp. 1363-1377
Open Access | Times Cited: 56
Lorenzo Cotrozzi, Raquel Peron, Mitchell R. Tuinstra, et al.
PLANT PHYSIOLOGY (2020) Vol. 184, Iss. 3, pp. 1363-1377
Open Access | Times Cited: 56
Showing 1-25 of 56 citing articles:
Advances in optical phenotyping of cereal crops
Dawei Sun, Kelly R. Robbins, Nicolás Morales, et al.
Trends in Plant Science (2021) Vol. 27, Iss. 2, pp. 191-208
Closed Access | Times Cited: 80
Dawei Sun, Kelly R. Robbins, Nicolás Morales, et al.
Trends in Plant Science (2021) Vol. 27, Iss. 2, pp. 191-208
Closed Access | Times Cited: 80
Time for a drought experiment: Do you know your plants’ water status?
Thomas Juenger, Paul E. Verslues
The Plant Cell (2022) Vol. 35, Iss. 1, pp. 10-23
Open Access | Times Cited: 39
Thomas Juenger, Paul E. Verslues
The Plant Cell (2022) Vol. 35, Iss. 1, pp. 10-23
Open Access | Times Cited: 39
Hyperspectral reflectance-based phenotyping for quantitative genetics in crops: Progress and challenges
Marcin Grzybowski, Nuwan K. Wijewardane, Abbas Atefi, et al.
Plant Communications (2021) Vol. 2, Iss. 4, pp. 100209-100209
Open Access | Times Cited: 51
Marcin Grzybowski, Nuwan K. Wijewardane, Abbas Atefi, et al.
Plant Communications (2021) Vol. 2, Iss. 4, pp. 100209-100209
Open Access | Times Cited: 51
Non-destructive analysis of plant physiological traits using hyperspectral imaging: A case study on drought stress
Mohd Shahrimie Mohd Asaari, Stien Mertens, Lennart Verbraeken, et al.
Computers and Electronics in Agriculture (2022) Vol. 195, pp. 106806-106806
Closed Access | Times Cited: 35
Mohd Shahrimie Mohd Asaari, Stien Mertens, Lennart Verbraeken, et al.
Computers and Electronics in Agriculture (2022) Vol. 195, pp. 106806-106806
Closed Access | Times Cited: 35
Advances in field-based high-throughput photosynthetic phenotyping
Peng Fu, Christopher M. Montes, Matthew H. Siebers, et al.
Journal of Experimental Botany (2022) Vol. 73, Iss. 10, pp. 3157-3172
Open Access | Times Cited: 34
Peng Fu, Christopher M. Montes, Matthew H. Siebers, et al.
Journal of Experimental Botany (2022) Vol. 73, Iss. 10, pp. 3157-3172
Open Access | Times Cited: 34
Leaf water content determination of oilseed rape using near-infrared hyperspectral imaging with deep learning regression methods
Chu Zhang, Cheng Li, Mengyu He, et al.
Infrared Physics & Technology (2023) Vol. 134, pp. 104921-104921
Closed Access | Times Cited: 21
Chu Zhang, Cheng Li, Mengyu He, et al.
Infrared Physics & Technology (2023) Vol. 134, pp. 104921-104921
Closed Access | Times Cited: 21
A leaf-level spectral library to support high-throughput plant phenotyping: predictive accuracy and model transfer
Nuwan K. Wijewardane, Huichun Zhang, Jinliang Yang, et al.
Journal of Experimental Botany (2023) Vol. 74, Iss. 14, pp. 4050-4062
Open Access | Times Cited: 19
Nuwan K. Wijewardane, Huichun Zhang, Jinliang Yang, et al.
Journal of Experimental Botany (2023) Vol. 74, Iss. 14, pp. 4050-4062
Open Access | Times Cited: 19
Inverting Chlorophyll Content in Jujube Leaves Using a Back-Propagation Neural Network–Random Forest–Ridge Regression Algorithm with Combined Hyperspectral Data and Image Color Channels
Jingming Wu, Tiecheng Bai, Xu Li
Agronomy (2024) Vol. 14, Iss. 1, pp. 140-140
Open Access | Times Cited: 6
Jingming Wu, Tiecheng Bai, Xu Li
Agronomy (2024) Vol. 14, Iss. 1, pp. 140-140
Open Access | Times Cited: 6
Using VIS-NIR hyperspectral imaging and deep learning for non-destructive high-throughput quantification and visualization of nutrients in wheat grains
Taotao Shi, Yuan Gao, Jingyan Song, et al.
Food Chemistry (2024) Vol. 461, pp. 140651-140651
Open Access | Times Cited: 6
Taotao Shi, Yuan Gao, Jingyan Song, et al.
Food Chemistry (2024) Vol. 461, pp. 140651-140651
Open Access | Times Cited: 6
Evaluating the Performance of Hyperspectral Leaf Reflectance to Detect Water Stress and Estimation of Photosynthetic Capacities
Jingjing Zhou, Yahao Zhang, Zemin Han, et al.
Remote Sensing (2021) Vol. 13, Iss. 11, pp. 2160-2160
Open Access | Times Cited: 38
Jingjing Zhou, Yahao Zhang, Zemin Han, et al.
Remote Sensing (2021) Vol. 13, Iss. 11, pp. 2160-2160
Open Access | Times Cited: 38
Can we harness digital technologies and physiology to hasten genetic gain in US maize breeding?
Christine Diepenbrock, Tom Tang, Michael Jines, et al.
PLANT PHYSIOLOGY (2021) Vol. 188, Iss. 2, pp. 1141-1157
Open Access | Times Cited: 38
Christine Diepenbrock, Tom Tang, Michael Jines, et al.
PLANT PHYSIOLOGY (2021) Vol. 188, Iss. 2, pp. 1141-1157
Open Access | Times Cited: 38
Spectroradiometer Calibration for Radiance Transfer Measurements
Clemens Rammeloo, Andreas Baumgartner
Sensors (2023) Vol. 23, Iss. 4, pp. 2339-2339
Open Access | Times Cited: 14
Clemens Rammeloo, Andreas Baumgartner
Sensors (2023) Vol. 23, Iss. 4, pp. 2339-2339
Open Access | Times Cited: 14
Spectroscopic detection of forest diseases: a review (1970–2020)
Lorenzo Cotrozzi
Journal of Forestry Research (2021) Vol. 33, Iss. 1, pp. 21-38
Open Access | Times Cited: 27
Lorenzo Cotrozzi
Journal of Forestry Research (2021) Vol. 33, Iss. 1, pp. 21-38
Open Access | Times Cited: 27
Hyperspectral Remote Sensing for Phenotyping the Physiological Drought Response of Common and Tepary Bean
Christopher Y. S. Wong, Matthew E. Gilbert, Marshall A. Pierce, et al.
Plant Phenomics (2022) Vol. 5
Open Access | Times Cited: 21
Christopher Y. S. Wong, Matthew E. Gilbert, Marshall A. Pierce, et al.
Plant Phenomics (2022) Vol. 5
Open Access | Times Cited: 21
Spectral ecophysiology: hyperspectral pressure–volume curves to estimate leaf turgor loss
Raiza Castillo-Argáez, Gerard Sapes, Nicole Mallen, et al.
New Phytologist (2024) Vol. 242, Iss. 3, pp. 935-946
Closed Access | Times Cited: 4
Raiza Castillo-Argáez, Gerard Sapes, Nicole Mallen, et al.
New Phytologist (2024) Vol. 242, Iss. 3, pp. 935-946
Closed Access | Times Cited: 4
Estimation models for maize leaf water content at various stages using near-infrared spectroscopy
Yi Ren, Wang Zhang, Hui-Ting Wang, et al.
Infrared Physics & Technology (2025), pp. 105732-105732
Closed Access
Yi Ren, Wang Zhang, Hui-Ting Wang, et al.
Infrared Physics & Technology (2025), pp. 105732-105732
Closed Access
Physiochemical responses of Ailanthus altissima under the challenge of Verticillium dahliae: elucidating the decline of one of the world’s worst invasive alien plant species
Claudia Pisuttu, Ermes Lo Piccolo, Luca Paoli, et al.
Biological Invasions (2022) Vol. 25, Iss. 1, pp. 61-78
Open Access | Times Cited: 16
Claudia Pisuttu, Ermes Lo Piccolo, Luca Paoli, et al.
Biological Invasions (2022) Vol. 25, Iss. 1, pp. 61-78
Open Access | Times Cited: 16
Robotized indoor phenotyping allows genomic prediction of adaptive traits in the field
Jugurta Bouidghaghen, Laurence Moreau, Katia Beauchêne, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Jugurta Bouidghaghen, Laurence Moreau, Katia Beauchêne, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Early Detection of Sage (Salvia officinalis L.) Responses to Ozone Using Reflectance Spectroscopy
Alessandra Marchica, Silvia Loré, Lorenzo Cotrozzi, et al.
Plants (2019) Vol. 8, Iss. 9, pp. 346-346
Open Access | Times Cited: 29
Alessandra Marchica, Silvia Loré, Lorenzo Cotrozzi, et al.
Plants (2019) Vol. 8, Iss. 9, pp. 346-346
Open Access | Times Cited: 29
Assessing Drought and Heat Stress-Induced Changes in the Cotton Leaf Metabolome and Their Relationship With Hyperspectral Reflectance
Giovanni Melandri, Kelly R. Thorp, Corey D. Broeckling, et al.
Frontiers in Plant Science (2021) Vol. 12
Open Access | Times Cited: 21
Giovanni Melandri, Kelly R. Thorp, Corey D. Broeckling, et al.
Frontiers in Plant Science (2021) Vol. 12
Open Access | Times Cited: 21
High-throughput characterization, correlation, and mapping of leaf photosynthetic and functional traits in the soybean (Glycine max) nested association mapping population
Christopher M. Montes, Carolyn M. Fox, Álvaro Sanz‐Sáez, et al.
Genetics (2022)
Open Access | Times Cited: 14
Christopher M. Montes, Carolyn M. Fox, Álvaro Sanz‐Sáez, et al.
Genetics (2022)
Open Access | Times Cited: 14
Non-Destructive Appraisal of Macro- and Micronutrients in Persimmon Leaves Using Vis/NIR Hyperspectral Imaging
Maylin Acosta, Isabel Rodríguez-Carretero, J. Blasco, et al.
Agriculture (2023) Vol. 13, Iss. 4, pp. 916-916
Open Access | Times Cited: 8
Maylin Acosta, Isabel Rodríguez-Carretero, J. Blasco, et al.
Agriculture (2023) Vol. 13, Iss. 4, pp. 916-916
Open Access | Times Cited: 8
Regional-Scale Monitoring of Wheat Stripe Rust Using Remote Sensing and Geographical Detectors
Ming‐Xian Zhao, Yingying Dong, Wenjiang Huang, et al.
Remote Sensing (2023) Vol. 15, Iss. 18, pp. 4631-4631
Open Access | Times Cited: 8
Ming‐Xian Zhao, Yingying Dong, Wenjiang Huang, et al.
Remote Sensing (2023) Vol. 15, Iss. 18, pp. 4631-4631
Open Access | Times Cited: 8
Onfield estimation of quality parameters in alfalfa through hyperspectral spectrometer data
Angie L. Gámez, Thomas Vatter, L.G. Santesteban, et al.
Computers and Electronics in Agriculture (2023) Vol. 216, pp. 108463-108463
Open Access | Times Cited: 8
Angie L. Gámez, Thomas Vatter, L.G. Santesteban, et al.
Computers and Electronics in Agriculture (2023) Vol. 216, pp. 108463-108463
Open Access | Times Cited: 8
Spectrum imaging for phenotypic detection of greenhouse vegetables: A review
Xiangquan Gao, Shenghong Li, Yakai He, et al.
Computers and Electronics in Agriculture (2024) Vol. 225, pp. 109346-109346
Closed Access | Times Cited: 2
Xiangquan Gao, Shenghong Li, Yakai He, et al.
Computers and Electronics in Agriculture (2024) Vol. 225, pp. 109346-109346
Closed Access | Times Cited: 2