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:

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

Showing 1-25 of 31 citing articles:

A comparison of genomic and phenomic selection methods for yield prediction in Coffea canephora
Paul Adunola, E Flores, E. M. Riva-Souza, et al.
The Plant Phenome Journal (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 8

Advantages and limitations of using near infrared spectroscopy in plant phenomics applications
Daniel Cozzolino
Computers and Electronics in Agriculture (2023) Vol. 212, pp. 108078-108078
Closed Access | Times Cited: 13

Enhancing grapevine breeding efficiency through genomic prediction and selection index
Charlotte Brault, Vincent Segura, Maryline Roques, et al.
G3 Genes Genomes Genetics (2024) Vol. 14, Iss. 4
Open Access | Times Cited: 5

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

Secondary metabolites in grapevine: crosstalk of transcriptional, metabolic and hormonal signals controlling stress defence responses in berries and vegetative organs
Alessandra Ferrandino, Chiara Pagliarani, Eva P. Pérez‐Álvarez
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 12

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

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

Evaluation of genomic and phenomic prediction for application in apple breeding
Michaela Jung, Marius Hodel, Andrea Knauf, et al.
BMC Plant Biology (2025) Vol. 25, 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

Enhancing Genomic Prediction Accuracy of Reproduction Traits in Rongchang Pigs Through Machine Learning
Junge Wang, Jie Chai, Li Chen, et al.
Animals (2025) Vol. 15, Iss. 4, pp. 525-525
Open 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

Unmanned aerial systems (UAS)-based field high throughput phenotyping (HTP) as plant breeders’ toolbox: a comprehensive review
Ittipon Khuimphukhieo, Jorge A. da Silva
Smart Agricultural Technology (2025), pp. 100888-100888
Open Access

Boosting grapevine breeding for climate-smart viticulture: from genetic resources to predictive genomics
Gabriele Magon, Valeria De Rosa, Matteo Martina, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 10

Polyploidization and genomic selection integration for grapevine breeding: a perspective
Rohit Bharati, Madhab Kumar Sen, Lucie Severová, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 8

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

Genomic selection in tropical perennial crops and plantation trees: a review
Essubalew Getachew Seyum, Ngalle Hermine Bille, Wosene Gebreselassie Abtew, et al.
Molecular Breeding (2022) Vol. 42, Iss. 10
Open Access | Times Cited: 12

Review: Status and prospects of association mapping in grapevine
Javier Tello, Javier Ibáñez
Plant Science (2022) Vol. 327, pp. 111539-111539
Open Access | Times Cited: 10

Imitating the “breeder's eye”: Predicting grain yield from measurements of non‐yield traits
Hongyu Jin, Michael C. Tross, Ruijuan Tan, et al.
The Plant Phenome Journal (2024) Vol. 7, Iss. 1
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

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.
Research Square (Research Square) (2024)
Open 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.
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

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