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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:

Phenomic selection in wheat breeding: identification and optimisation of factors influencing prediction accuracy and comparison to genomic selection
Pauline Robert, Jérôme Auzanneau, Ellen Goudemand, et al.
Theoretical and Applied Genetics (2022) Vol. 135, Iss. 3, pp. 895-914
Closed Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Temporal phenomic predictions from unoccupied aerial systems can outperform genomic predictions
Alper Adak, Seth C. Murray, Steven L. Anderson
G3 Genes Genomes Genetics (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 32
Interest of phenomic prediction as an alternative to genomic prediction in grapevine
Charlotte Brault, Juliette Lazerges, Agnès Doligez, et al.
Plant Methods (2022) Vol. 18, Iss. 1
Open Access | Times Cited: 31
Image-based phenomic prediction can provide valuable decision support in wheat breeding
Lukas Roth, Dario Fossati, Patrick Krähenbühl, et al.
Theoretical and Applied Genetics (2023) Vol. 136, Iss. 7
Open Access | Times Cited: 14
Using phenomic selection to predict hybrid values with NIR spectra measured on the parental lines: proof of concept on maize
Renaud Rincent, Junita Solin, Alizarine Lorenzi, et al.
Theoretical and Applied Genetics (2025) Vol. 138, Iss. 1
Open Access
Phenomic and genomic prediction of yield on multiple locations in winter wheat
Robert Jackson, Jaap B. Buntjer, Alison R. Bentley, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 11
Assessing predictability of post-storage texture and appearance characteristics in blueberry at breeding population level
Molla F. Mengist, Marti Pottorff, Ted Mackey, et al.
Postharvest Biology and Technology (2024) Vol. 214, pp. 112964-112964
Closed Access | Times Cited: 4
Temporal field phenomics of transgenic maize events subjected to drought stress: Cross‐validation scenarios and machine learning models
Hélcio Duarte Pereira, Juliana Vieira Almeida Nonato, Rafaela Caroline Rangni Moltocaro Duarte, et al.
The Plant Phenome Journal (2025) Vol. 8, Iss. 1
Open Access
Genomic prediction for yield and malting traits in barley using metabolomic and near-infrared spectra
Miguel Angel Raffo Busco, Pernille Sarup, Just Jensen, et al.
Theoretical and Applied Genetics (2025) Vol. 138, Iss. 1
Open Access
Phenomic Prediction Can Be Improved by Optimization of NIRS Preprocessing
Vincent Braun, Xintian Zhu, Carina Meyenberg, et al.
Plant Breeding (2025)
Open Access
Genomic and phenomic prediction for soybean seed yield, protein, and oil
Liza Van der Laan, Kyle Parmley, Mojdeh Saadati, et al.
The Plant Genome (2025) Vol. 18, Iss. 1
Open Access
Advances in Crop Improvement through High-Throughput Phenotyping
J Padhy, Ratan Sarkar, Sourav Ranjan Mohapatra, et al.
CABI eBooks (2025), pp. 194-215
Closed Access
Integrating phenomic selection using single-kernel near-infrared spectroscopy and genomic selection for corn breeding improvement
Rafaela P. Graciano, Marco Antônio Peixoto, Kristen A. Leach, et al.
Theoretical and Applied Genetics (2025) Vol. 138, Iss. 3
Open Access
Genomic prediction for agronomic traits in a diverse Flax (Linum usitatissimum L.) germplasm collection
Ahasanul Hoque, James V. Anderson, Mukhlesur Rahman
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Phenomic selection in wheat breeding: prediction of the genotype-by-environment interaction in multi-environment breeding trials
Pauline Robert, Ellen Goudemand, Jérôme Auzanneau, et al.
Theoretical and Applied Genetics (2022) Vol. 135, Iss. 10, pp. 3337-3356
Open Access | Times Cited: 13
Multispectral-derived genotypic similarities from budget cameras allow grain yield prediction and genomic selection augmentation in single and multi-environment scenarios in spring wheat
Tomasz Mróz, Sahameh Shafiee, José Crossa, et al.
Molecular Breeding (2024) Vol. 44, Iss. 1
Open Access | Times Cited: 2
Near‐infrared reflectance spectroscopy phenomic prediction can perform similarly to genomic prediction of maize agronomic traits across environments
Aaron J. DeSalvio, Alper Adak, Seth C. Murray, et al.
The Plant Genome (2024) Vol. 17, Iss. 2
Open Access | Times Cited: 2
Phenomic Selection for Hybrid Rapeseed Breeding
Lennard Roscher-Ehrig, Sven E. Weber, Amine Abbadi, et al.
Plant Phenomics (2024) Vol. 6
Open Access | Times Cited: 2
Drought-tolerant wheat for enhancing global food security
Abhishek Bohra, Mukesh Choudhary, Dion Bennett, et al.
Functional & Integrative Genomics (2024) Vol. 24, Iss. 6
Closed Access | Times Cited: 2
Identification of heat tolerance and screening of heat tolerance indexes in different Chinese cabbage seedlings
Qiling Shi, Zijun Liu, Wanze Gao, et al.
Scientia Horticulturae (2023) Vol. 322, pp. 112381-112381
Open Access | Times Cited: 5
Spectroscopy‐based prediction of 73 wheat quality parameters and insights for practical applications
Johannes Nagel‐Held, Khaoula El Hassouni, Friedrich Longin, et al.
Cereal Chemistry (2023) Vol. 101, Iss. 1, pp. 144-165
Open Access | Times Cited: 5
Using drone-retrieved multispectral data for phenomic selection in potato breeding
Alessio Maggiorelli, Nadia Baig, Vanessa Prigge, et al.
Theoretical and Applied Genetics (2024) Vol. 137, Iss. 3
Open Access | Times Cited: 1
Genomic and phenomic predictions help capture low-effect alleles promoting seed germination in oilseed rape in addition to QTL analyses
Marianne Laurençon, Julie Legrix, Marie-Hélène Wagner, et al.
Theoretical and Applied Genetics (2024) Vol. 137, Iss. 7
Open Access | Times Cited: 1
Feature engineering and parameter tuning: improving phenomic prediction ability in multi-environmental durum wheat breeding trials
Carina Meyenberg, Vincent Braun, C. Friedrich H. Longin, et al.
Theoretical and Applied Genetics (2024) Vol. 137, Iss. 8
Open Access | Times Cited: 1
Linking genetic markers and crop model parameters using neural networks to enhance genomic prediction of integrative traits
Florian Larue, Lauriane Rouan, David Pot, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 1
Performance of phenomic selection in rice: effects of population size and genotype-environment interactions on predictive ability
Hugues de Verdal, Vincent Segura, David Pot, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
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