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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.

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Showing 1-25 of 135 citing articles:

Future Scenarios for Plant Phenotyping
Fabio Fiorani, Ulrich Schurr
Annual Review of Plant Biology (2013) Vol. 64, Iss. 1, pp. 267-291
Closed Access | Times Cited: 884
High-throughput shoot imaging to study drought responses
Bettina Berger, Boris Parent, Mark Tester
Journal of Experimental Botany (2010) Vol. 61, Iss. 13, pp. 3519-3528
Open Access | Times Cited: 312
Accurate inference of shoot biomass from high-throughput images of cereal plants
Mahmood Reza Golzarian, Ross A Frick, Karthika Rajendran, et al.
Plant Methods (2011) Vol. 7, Iss. 1
Open Access | Times Cited: 295
Advanced phenotyping and phenotype data analysis for the study of plant growth and development
Md. Matiur Rahaman, Dijun Chen, Zeeshan Gillani, et al.
Frontiers in Plant Science (2015) Vol. 6
Open Access | Times Cited: 266
Plant phenomics and high-throughput phenotyping: accelerating rice functional genomics using multidisciplinary technologies
Wanneng Yang, Lingfeng Duan, Guoxing Chen, et al.
Current Opinion in Plant Biology (2013) Vol. 16, Iss. 2, pp. 180-187
Closed Access | Times Cited: 247
Utilization of a high-throughput shoot imaging system to examine the dynamic phenotypic responses of a C4 cereal crop plant to nitrogen and water deficiency over time
Elizabeth Heather Jakobsen Neilson, Aaron M. Edwards, Cecilia K. Blomstedt, et al.
Journal of Experimental Botany (2015) Vol. 66, Iss. 7, pp. 1817-1832
Open Access | Times Cited: 213
Biomass and Crop Height Estimation of Different Crops Using UAV-Based Lidar
Jelle ten Harkel, Harm Bartholomeus, Lammert Kooistra
Remote Sensing (2019) Vol. 12, Iss. 1, pp. 17-17
Open Access | Times Cited: 156
Plant growth: the What, the How, and the Why
Jonas Hilty, Bertrand Muller, Florent Pantin, et al.
New Phytologist (2021) Vol. 232, Iss. 1, pp. 25-41
Closed Access | Times Cited: 117
Omics approaches in effective selection and generation of potential plants for phytoremediation of heavy metal from contaminated resources
Renu Yadav, Gagandeep Singh, Anita Rani Santal, et al.
Journal of Environmental Management (2023) Vol. 336, pp. 117730-117730
Closed Access | Times Cited: 63
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
Physiological phenotyping of plants for crop improvement
Michel Edmond Ghanem, Hélène Marrou, Thomas R. Sinclair
Trends in Plant Science (2014) Vol. 20, Iss. 3, pp. 139-144
Closed Access | Times Cited: 160
How to measure ecosystem stability? An evaluation of the reliability of stability metrics based on remote sensing time series across the major global ecosystems
Wanda De Keersmaecker, Stef Lhermitte, Olivier Honnay, et al.
Global Change Biology (2013) Vol. 20, Iss. 7, pp. 2149-2161
Closed Access | Times Cited: 115
Growth monitoring of greenhouse lettuce based on a convolutional neural network
Lingxian Zhang, Zanyu Xu, Dan Xu, et al.
Horticulture Research (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 79
Food, Nutrition and Agrobiodiversity Under Global Climate Change
Sangam L. Dwivedi, K. L. Sahrawat, Hari D. Upadhyaya, et al.
Advances in agronomy (2013), pp. 1-128
Open Access | Times Cited: 87
Response of Organ Structure and Physiology to Autotetraploidization in Early Development of Energy Willow Salix viminalis
Dénes Dudits, Katalin Török, András Cseri, et al.
PLANT PHYSIOLOGY (2016) Vol. 170, Iss. 3, pp. 1504-1523
Open Access | Times Cited: 83
Evaluation of Borage Extracts As Potential Biostimulant Using a Phenomic, Agronomic, Physiological, and Biochemical Approach
Roberta Bulgari, S. Morgutti, Giacomo Cocetta, et al.
Frontiers in Plant Science (2017) Vol. 8
Open Access | Times Cited: 67
Predicting plant biomass accumulation from image-derived parameters
Dijun Chen, Rongli Shi, Jean-Michel Pape, et al.
GigaScience (2018) Vol. 7, Iss. 2
Open Access | Times Cited: 64
Digital applications and artificial intelligence in agriculture toward next-generation plant phenotyping
Pasquale Tripodi, Nicola Nicastro, Catello Pane
Crop and Pasture Science (2022) Vol. 74, Iss. 6, pp. 597-614
Closed Access | Times Cited: 32
Phenomics based prediction of plant biomass and leaf area in wheat using machine learning approaches
Biswabiplab Singh, Sudhir Kumar, Allimuthu Elangovan, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 18
3D-laser scanning: A non-destructive method for studying above- ground biomass and growth of juvenile trees
Dominik Seidel, Friderike Beyer, Dietrich Hertel, et al.
Agricultural and Forest Meteorology (2011) Vol. 151, Iss. 10, pp. 1305-1311
Closed Access | Times Cited: 67
Phenotypic variation of 38 European Ambrosia artemisiifolia populations measured in a common garden experiment
Marion Carmen Leiblein‐Wild, Oliver Tackenberg
Biological Invasions (2014) Vol. 16, Iss. 9, pp. 2003-2015
Open Access | Times Cited: 52
PYM: a new, affordable, image-based method using a Raspberry Pi to phenotype plant leaf area in a wide diversity of environments
Benoît Valle, Thierry Simonneau, Romain Boulord, et al.
Plant Methods (2017) Vol. 13, Iss. 1
Open Access | Times Cited: 52
Salinity-induced modulation of plant growth and photosynthetic parameters in faba bean (Vicia faba) cultivars.
Muhammad Hussein, Alachew Embiale, Azamal Husen, et al.
Pakistan Journal of Botany (2017) Vol. 49, Iss. 3, pp. 867-877
Closed Access | Times Cited: 51
A Synthetic Review of Various Dimensions of Non-Destructive Plant Stress Phenotyping
Dapeng Ye, Libin Wu, Xiaobin Li, et al.
Plants (2023) Vol. 12, Iss. 8, pp. 1698-1698
Open Access | Times Cited: 15
The role of phenomics and genomics in delineating the genetic basis of complex traits in millets
Yashoda Jadhav, Niranjan Thakur, Krishnananda Pralhad Ingle, et al.
Physiologia Plantarum (2024) Vol. 176, Iss. 3
Closed Access | Times Cited: 6
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