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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 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

Showing 11 citing articles:

Enhancing the potential of phenomic and genomic prediction in winter wheat breeding using high-throughput phenotyping and deep learning
Swas Kaushal, Harsimardeep S. Gill, Mohammad Maruf Billah, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 6
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
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
Integrating genomics, phenomics, and deep learning improves the predictive ability for Fusarium head blight–related traits in winter wheat
Subash Thapa, Harsimardeep S. Gill, Jyotirmoy Halder, et al.
The Plant Genome (2024)
Open Access | Times Cited: 3
Machine learning algorithms translate big data into predictive breeding accuracy
José Crossa, Osval A. Montesinos‐López, Germano Costa‐Neto, et al.
Trends in Plant Science (2024)
Open Access | Times Cited: 3
Enhancing prediction accuracy of grain yield in wheat lines adapted to the southeastern United States through multivariate and multi‐environment genomic prediction models incorporating spectral and thermal information
Jordan McBreen, Md Ali Babar, Diego Jarquín, et al.
The Plant Genome (2024) Vol. 18, Iss. 1
Closed Access | Times Cited: 3
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
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
Spectral‐genomic chain‐model approach enhances the wheat yield component prediction under the Mediterranean climate
Roy Sadeh, Roi Ben‐David, Ittai Herrmann, et al.
Physiologia Plantarum (2024) Vol. 176, Iss. 4
Open Access | Times Cited: 1
Phenomic‐assisted selection: Assessment of the potential of near‐infrared spectroscopy for blueberry breeding
Paul Adunola, Estefania Tavares Flores, Camila Ferreira Azevedo, et al.
The Plant Phenome Journal (2024) Vol. 7, Iss. 1
Open Access
The Use of Low-Cost Drone and Multi-Trait Analysis to Identify High Nitrogen Use Lines for Wheat Improvement
Liyan Shen, Greg Deakin, Guohui Ding, et al.
Agronomy (2024) Vol. 14, Iss. 8, pp. 1612-1612
Open Access
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