
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:
Yield prediction through integration of genetic, environment, and management data through deep learning
Daniel R Kick, Jason G. Wallace, James C. Schnable, et al.
G3 Genes Genomes Genetics (2023) Vol. 13, Iss. 4
Open Access | Times Cited: 30
Daniel R Kick, Jason G. Wallace, James C. Schnable, et al.
G3 Genes Genomes Genetics (2023) Vol. 13, Iss. 4
Open Access | Times Cited: 30
Showing 26-50 of 30 citing articles:
LSTM Autoencoder-Based Deep Neural Networks for Barley Genotype-to-Phenotype Prediction
Guanjin Wang, Junyu Xuan, Penghao Wang, et al.
Lecture notes in computer science (2024), pp. 342-353
Closed Access
Guanjin Wang, Junyu Xuan, Penghao Wang, et al.
Lecture notes in computer science (2024), pp. 342-353
Closed Access
Evaluation of salinity tolerance in wheat: a novel approach using artificial neural networks and rank sum-integrate selection index methods
Amir Gholizadeh, Shaghayegh Mehravi, Mehrdad Hanifei, et al.
Acta Physiologiae Plantarum (2024) Vol. 47, Iss. 1
Closed Access
Amir Gholizadeh, Shaghayegh Mehravi, Mehrdad Hanifei, et al.
Acta Physiologiae Plantarum (2024) Vol. 47, Iss. 1
Closed Access
Large-scale crop dataset and deep learning-based multi-modal fusion framework for more accurate G× E genomic prediction
Q. Zou, Shuaishuai Tai, Qi Yuan, et al.
Computers and Electronics in Agriculture (2024) Vol. 230, pp. 109833-109833
Closed Access
Q. Zou, Shuaishuai Tai, Qi Yuan, et al.
Computers and Electronics in Agriculture (2024) Vol. 230, pp. 109833-109833
Closed Access
Ensemble of BLUP, Machine Learning, and Deep Learning Models Predict Maize Yield Better Than Each Model Alone
Daniel R Kick, Jacob D. Washburn
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Daniel R Kick, Jacob D. Washburn
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Ensemble of BLUP, Machine Learning, and Deep Learning Models Predict Maize Yield Better Than Each Model Alone
Daniel R Kick, Jacob D. Washburn
Research Square (Research Square) (2023)
Open Access
Daniel R Kick, Jacob D. Washburn
Research Square (Research Square) (2023)
Open Access
Leveraging Data from the Genomes to Fields Initiative to Investigate G×E in Maize in North America
Marco Lopez‐Cruz, Fernando Aguate, Jacob D. Washburn, et al.
Research Square (Research Square) (2023)
Open Access
Marco Lopez‐Cruz, Fernando Aguate, Jacob D. Washburn, et al.
Research Square (Research Square) (2023)
Open Access