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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:

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 1-25 of 32 citing articles:

Unoccupied aerial systems imagery for phenotyping in cotton, maize, soybean, and wheat breeding
Andrew W. Herr, Alper Adak, Matthew E. Carroll, et al.
Crop Science (2023) Vol. 63, Iss. 4, pp. 1722-1749
Open Access | Times Cited: 39
Current challenges and future of agricultural genomes to phenomes in the USA
Christopher K. Tuggle, Jennifer Clarke, Brenda M. Murdoch, et al.
Genome biology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 11
Plot‐level satellite imagery can substitute for UAVs in assessing maize phenotypes across multistate field trials
Nikee Shrestha, Anirudha Powadi, J M Davis, et al.
Plants People Planet (2025)
Open Access | Times Cited: 1
Crop genomic selection with deep learning and environmental data: A survey
Sheikh Jubair, Michael Domaratzki
Frontiers in Artificial Intelligence (2023) Vol. 5
Open Access | Times Cited: 17
Deciphering temporal growth patterns in maize: integrative modeling of phenotype dynamics and underlying genomic variations
Alper Adak, Seth C. Murray, Jacob D. Washburn
New Phytologist (2024) Vol. 242, Iss. 1, pp. 121-136
Open Access | Times Cited: 7
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
Phenomic data-driven biological prediction of maize through field-based high-throughput phenotyping integration with genomic data
Alper Adak, Myeongjong Kang, Steven L. Anderson, et al.
Journal of Experimental Botany (2023) Vol. 74, Iss. 17, pp. 5307-5326
Closed Access | Times Cited: 13
Pedigree‐management‐flight interaction for temporal phenotype analysis and temporal phenomic prediction
Alper Adak, Steven L. Anderson, Seth C. Murray
The Plant Phenome Journal (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 12
Emerging Trends in Wheat (Triticum spp.) Breeding: Implications for the Future
Mujahid Alam, P. Stephen Baenziger, Katherine Frels
Frontiers in Bioscience-Elite (2024) Vol. 16, Iss. 1, pp. 2-2
Open Access | Times Cited: 4
Assessing Drought Stress of Sugarcane Cultivars Using Unmanned Vehicle System (UAS)-Based Vegetation Indices and Physiological Parameters
Ittipon Khuimphukhieo, Mahendra Bhandari, Juan Enciso, et al.
Remote Sensing (2024) Vol. 16, Iss. 8, pp. 1433-1433
Open Access | Times Cited: 4
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
Genomic and phenomic prediction for soybean seed yield, protein, and oil
Liza Van der Laan, Kyle Parmley, Mojdeh Saadati, et al.
The Plant Genome (2025) Vol. 18, Iss. 1
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
Advancing Crop Resilience Through High-Throughput Phenotyping for Crop Improvement in the Face of Climate Change
Hoa Thi Nguyen, Md. Arifur Rahman Khan, Thuong Thi Nguyen, et al.
Plants (2025) Vol. 14, Iss. 6, pp. 907-907
Open Access
Estimating Sugarcane Yield and its Components Using Unmanned Aerial Systems (Uas)- Based High Throughput Phenotyping (Htp)
Ittipon Khuimphukhieo, Jorge A. da Silva, Mahendra Bhandari, et al.
(2024)
Closed Access | Times Cited: 3
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
Remote and proximal sensing: How far has it come to help plant breeders?
Mohsen Yoosefzadeh-Najafabadi, Keshav D. Singh, Alireza Pourreza, et al.
Advances in agronomy (2023), pp. 279-315
Closed Access | Times Cited: 7
Field-based high-throughput phenotyping enhances phenomic and genomic predictions for grain yield and plant height across years in maize
Alper Adak, Aaron J. DeSalvio, Mustafa Arık, et al.
G3 Genes Genomes Genetics (2024) Vol. 14, Iss. 7
Open Access | Times Cited: 2
Multimodal Deep Learning Integration of Image, Weather, and Phenotypic Data Under Temporal Effects for Early Prediction of Maize Yield
Danial Shamsuddin, Monica F. Danilevicz, Hawlader Abdullah Al-Mamun, et al.
Remote Sensing (2024) Vol. 16, Iss. 21, pp. 4043-4043
Open Access | Times Cited: 2
Phenomic data-facilitated rust and senescence prediction in maize using machine learning algorithms
Aaron J. DeSalvio, Alper Adak, Seth C. Murray, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 11
Using drone-retrieved multispectral data for phenomic selection in potato breeding
Alessio Maggiorelli, Nadia Baig, Vanessa Prigge, et al.
Theoretical and Applied Genetics (2024) Vol. 137, Iss. 3
Open Access | Times Cited: 1
Phenomics in Livestock Research: Bottlenecks and Promises of Digital Phenotyping and Other Quantification Techniques on a Global Scale
Vishwa Ranjan Upadhyay, V. Ramesh, Harshit Kumar, et al.
OMICS A Journal of Integrative Biology (2024) Vol. 28, Iss. 8, pp. 380-393
Closed Access | Times Cited: 1
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.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Temporal field phenomics allows discovery of nature AND nurture, so can we saturate the phenome?
Seth C. Murray, Alper Adak, Aaron J. DeSalvio, et al.
Authorea (Authorea) (2022)
Open Access | Times Cited: 7
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.
The Plant Journal (2024) Vol. 120, Iss. 5, pp. 1969-1986
Open Access
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