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: 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

Showing 13 citing articles:

Unoccupied aerial systems imagery for phenotyping in cotton, maize, soybean, and wheat breeding
Andrew W. Herr, Alper Adak, Matthew E. Carroll, et al.
Crop Science (2023) Vol. 63, Iss. 4, pp. 1722-1749
Open Access | Times Cited: 39

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

Emerging Trends in Wheat (Triticum spp.) Breeding: Implications for the Future
Mujahid Alam, P. Stephen Baenziger, Katherine Frels
Frontiers in Bioscience-Elite (2024) Vol. 16, Iss. 1, pp. 2-2
Open Access | Times Cited: 4

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

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

High-dimensional multi-omics measured in controlled conditions are useful for maize platform and field trait predictions
Baber Ali, Bertrand Huguenin-Bizot, Maxime Laurent, et al.
Theoretical and Applied Genetics (2024) Vol. 137, Iss. 7
Closed 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

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

High-dimensional multi-omics measured in controlled conditions are useful for maize platform and field trait predictions
A Baber, Huguenin-Bizot Bertrand, Maxime Laurent, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

The potential of phenomic selection for the joint Ethiopian malt barley breeding program
Tesfahun Alemu Setotaw, Peer Wilde, Angela-Maria Bernal-Vasquez, et al.
The Plant Phenome Journal (2024) Vol. 7, Iss. 1
Open Access

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.
PLoS ONE (2024) Vol. 19, Iss. 12, pp. e0309502-e0309502
Open Access

Comprehensive assessment of adaptability, stability and stress resistance of diploid winter rye varieties under conditions of Western Siberia
N. N. Ermoshkina, G. V. Artyomova, П. И. Степочкин, et al.
Bulletin of NSAU (Novosibirsk State Agrarian University) (2024), Iss. 3, pp. 22-31
Open Access

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