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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:

Efficiency of multi-trait, indirect, and trait-assisted genomic selection for improvement of biomass sorghum
Samuel B. Fernandes, Kaio Olímpio das Graças Dias, Daniel Furtado Ferreira, et al.
Theoretical and Applied Genetics (2017) Vol. 131, Iss. 3, pp. 747-755
Open Access | Times Cited: 162

Showing 1-25 of 162 citing articles:

Accelerating crop genetic gains with genomic selection
Kai P. Voss‐Fels, Mark Cooper, Ben J. Hayes
Theoretical and Applied Genetics (2018) Vol. 132, Iss. 3, pp. 669-686
Closed Access | Times Cited: 282
Benchmarking Parametric and Machine Learning Models for Genomic Prediction of Complex Traits
Christina B. Azodi, Emily Bolger, Andrew McCarren, et al.
G3 Genes Genomes Genetics (2019) Vol. 9, Iss. 11, pp. 3691-3702
Open Access | Times Cited: 162
Heterosis and Hybrid Crop Breeding: A Multidisciplinary Review
Marlee R. Labroo, Anthony J. Studer, Jessica Rutkoski
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 156
Genetic and genomic resources of sorghum to connect genotype with phenotype in contrasting environments
Richard Boyles, Zachary Brenton, Stephen Kresovich
The Plant Journal (2018) Vol. 97, Iss. 1, pp. 19-39
Open Access | Times Cited: 118
Machine learning approaches for crop improvement: Leveraging phenotypic and genotypic big data
Hao Tong, Zoran Nikoloski
Journal of Plant Physiology (2020) Vol. 257, pp. 153354-153354
Open Access | Times Cited: 112
Multi‐trait genomic selection for weevil resistance, growth, and wood quality in Norway spruce
P. Lenz, Simon Nadeau, Marie-Josée Mottet, et al.
Evolutionary Applications (2019) Vol. 13, Iss. 1, pp. 76-94
Open Access | Times Cited: 99
African Orphan Crops Consortium (AOCC): status of developing genomic resources for African orphan crops
Prasad Hendre, Samuel Muthemba, Robert Kariba, et al.
Planta (2019) Vol. 250, Iss. 3, pp. 989-1003
Open Access | Times Cited: 98
Integrating genomic-enabled prediction and high-throughput phenotyping in breeding for climate-resilient bread wheat
Philomin Juliana, Osval A. Montesinos‐López, José Crossa, et al.
Theoretical and Applied Genetics (2018) Vol. 132, Iss. 1, pp. 177-194
Open Access | Times Cited: 92
Simultaneous selection for grain yield and protein content in genomics-assisted wheat breeding
Sebastian Michel, Franziska Löschenberger, Christian Ametz, et al.
Theoretical and Applied Genetics (2019) Vol. 132, Iss. 6, pp. 1745-1760
Open Access | Times Cited: 79
Integrated genomic selection for rapid improvement of crops
Gopalareddy Krishnappa, Siddanna Savadi, Bhudeva Singh Tyagi, et al.
Genomics (2021) Vol. 113, Iss. 3, pp. 1070-1086
Open Access | Times Cited: 74
Machine learning-enabled phenotyping for GWAS and TWAS of WUE traits in 869 field-grown sorghum accessions
John N. Ferguson, Samuel B. Fernandes, Brandon Monier, et al.
PLANT PHYSIOLOGY (2021) Vol. 187, Iss. 3, pp. 1481-1500
Open Access | Times Cited: 71
Genetics and breeding for climate change in Orphan crops
Sandra Ndagire Kamenya, Erick Owuor Mikwa, Bo Song, et al.
Theoretical and Applied Genetics (2021) Vol. 134, Iss. 6, pp. 1787-1815
Open Access | Times Cited: 66
Recent Advances in Sugarcane Genomics, Physiology, and Phenomics for Superior Agronomic Traits
Mintu Ram Meena, C. Appunu, Ravinder Kumar, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 43
A comparison of methods for training population optimization in genomic selection
Javier Fernández-Gónzalez, Deniz Akdemir, Julio Isidro y Sánchez
Theoretical and Applied Genetics (2023) Vol. 136, Iss. 3
Open Access | Times Cited: 25
Review of applications of artificial intelligence (AI) methods in crop research
Suvojit Bose, Saptarshi Banerjee, Soumya Kumar, et al.
Journal of Applied Genetics (2024) Vol. 65, Iss. 2, pp. 225-240
Closed Access | Times Cited: 12
Genomic prediction in multi-environment trials in maize using statistical and machine learning methods
Cynthia Aparecida Valiati Barreto, Kaio Olímpio das Graças Dias, Ithalo Coelho de Sousa, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Elucidating Sorghum Biomass, Nitrogen and Chlorophyll Contents With Spectral and Morphological Traits Derived From Unmanned Aircraft System
Jiating Li, Yeyin Shi, Arun-Narenthiran Veeranampalayam-Sivakumar, et al.
Frontiers in Plant Science (2018) Vol. 9
Open Access | Times Cited: 78
Genomic Prediction of Grain Yield and Drought-Adaptation Capacity in Sorghum Is Enhanced by Multi-Trait Analysis
Julio Gabriel Velazco, David Jordan, Emma Mace, et al.
Frontiers in Plant Science (2019) Vol. 10
Open Access | Times Cited: 70
Multivariate Genomic Selection and Potential of Rapid Indirect Selection with Speed Breeding in Spring Wheat
Amy Watson, Lee T. Hickey, Jack Christopher, et al.
Crop Science (2019) Vol. 59, Iss. 5, pp. 1945-1959
Open Access | Times Cited: 70
Combining Crop Growth Modeling With Trait-Assisted Prediction Improved the Prediction of Genotype by Environment Interactions
Pauline Robert, Jacques Le Gouis, Renaud Rincent
Frontiers in Plant Science (2020) Vol. 11
Open Access | Times Cited: 64
Exploring and exploiting the genetic variation of Fusarium head blight resistance for genomic-assisted breeding in the elite durum wheat gene pool
Barbara Steiner, Sebastian Michel, Marco Maccaferri, et al.
Theoretical and Applied Genetics (2018) Vol. 132, Iss. 4, pp. 969-988
Open Access | Times Cited: 61
Deleterious Mutation Burden and Its Association with Complex Traits in Sorghum (Sorghum bicolor)
Ravi Valluru, Élodie Gazave, Samuel B. Fernandes, et al.
Genetics (2019) Vol. 211, Iss. 3, pp. 1075-1087
Open Access | Times Cited: 56
Quinoa Phenotyping Methodologies: An International Consensus
Clara S. Stanschewski, Elodie Rey, Gabriele Fiene, et al.
Plants (2021) Vol. 10, Iss. 9, pp. 1759-1759
Open Access | Times Cited: 52
Optical topometry and machine learning to rapidly phenotype stomatal patterning traits for maize QTL mapping
Jiayang Xie, Samuel B. Fernandes, Dustin Mayfield‐Jones, et al.
PLANT PHYSIOLOGY (2021) Vol. 187, Iss. 3, pp. 1462-1480
Open Access | Times Cited: 48
Understanding Growth Dynamics and Yield Prediction of Sorghum Using High Temporal Resolution UAV Imagery Time Series and Machine Learning
Sebastián Varela, Taylor Pederson, Carl J. Bernacchi, et al.
Remote Sensing (2021) Vol. 13, Iss. 9, pp. 1763-1763
Open Access | Times Cited: 43
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