OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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

Showing 26-50 of 32 citing articles:

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

Plant height defined growth curves during vegetative development have the potential to predict end of season maize yield and assist with mid-season management decisions
Dorothy D. Sweet, Julian Cooper, Cory D. Hirsch, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access

Temporally resolved growth patterns reveal novel information about the polygenic nature of complex quantitative traits
Dorothy D. Sweet, Sara B. Tirado, Julian Cooper, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access

Optimizing wheat crop performance: Genomic and phenomic insights into yield and days to maturity prediction using multi‐temporal UAV imagery
Sahameh Shafiee, Osval A. Montesinos‐López, José Crossa, et al.
The Plant Phenome Journal (2024) Vol. 7, Iss. 1
Open Access

Manifold and spatiotemporal learning on multispectral unoccupied aerial system imagery for phenotype prediction
Fared Farag, Trevis D. Huggins, Jeremy D. Edwards, et al.
The Plant Phenome Journal (2024) Vol. 7, Iss. 1
Open Access

Disentangling genotype and environment specific latent features for improved trait prediction using a compositional autoencoder
Anirudha Powadi, Talukder Z. Jubery, Michael C. Tross, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access

Current Challenges and Future of Agricultural Genomes to Phenomes in the U.S.
Christopher K. Tuggle, Jennifer Clarke, Brenda M. Murdoch, et al.
(2023)
Open Access

Previous Page - Page 2

Scroll to top