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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:

Enviromic prediction is useful to define the limits of climate adaptation: A case study of common bean in Brazil
Alexandre Bryan Heinemann, Germano Costa‐Neto, Roberto Fritsche‐Neto, et al.
Field Crops Research (2022) Vol. 286, pp. 108628-108628
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Enviromic prediction enables the characterization and mapping of Eucalyptus globulus Labill breeding zones
Andrew Callister, Germano Costa‐Neto, Ben P. Bradshaw, et al.
Tree Genetics & Genomes (2024) Vol. 20, Iss. 1
Open Access | Times Cited: 10
GIS-FA: an approach to integrating thematic maps, factor-analytic, and envirotyping for cultivar targeting
Maurício dos Santos Araújo, Saulo Fabrício da Silva Chaves, Luíz Antônio dos Santos Dias, et al.
Theoretical and Applied Genetics (2024) Vol. 137, Iss. 4
Open Access | Times Cited: 9
Satellite-enabled enviromics to enhance crop improvement
Rafael T Resende, Lee T. Hickey, Cibele Hummel do Amaral, et al.
Molecular Plant (2024) Vol. 17, Iss. 6, pp. 848-866
Open Access | Times Cited: 8
Envirome-wide associations enhance multi-year genome-based prediction of historical wheat breeding data
Germano Costa‐Neto, Leonardo Crespo‐Herrera, Nick Fradgley, et al.
G3 Genes Genomes Genetics (2022) Vol. 13, Iss. 2
Open Access | Times Cited: 25
Envirotypes applied to evaluate the adaptability and stability of wheat genotypes in the tropical region in Brazil
Cleiton Renato Casagrande, Henrique Caletti Mezzomo, Diana Jhulia Palheta de Sousa, et al.
Euphytica (2024) Vol. 220, Iss. 2
Open Access | Times Cited: 4
Using agro-ecological zones to improve the representation of a multi-environment trial of soybean varieties
C. E. Gilbert, Nicolás F. Martín
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 4
Spatio-temporal dynamics of water stress for common bean production in Goiás, Brazil
Ludmilla Ferreira Justino, Alexandre Bryan Heinemann, David Henriques da Matta, et al.
Theoretical and Applied Climatology (2025) Vol. 156, Iss. 4
Closed Access
Defining the target population of environments (TPE) for enviromics studies using R-based GIS tools
Demila D. M. Cruz, Alexandre Bryan Heinemann, Gustavo Eduardo Marcatti, et al.
Crop Breeding and Applied Biotechnology (2025) Vol. 25, Iss. 1
Open Access
Environmental clusters defining breeding zones for tropical irrigated rice in Brazil
Germano Costa‐Neto, David Henriques da Matta, Igor Kuivjogi Fernandes, et al.
Agronomy Journal (2023) Vol. 116, Iss. 3, pp. 931-955
Closed Access | Times Cited: 7
Performance of Machine Learning Models in Predicting Common Bean (Phaseolus vulgaris L.) Crop Nitrogen Using NIR Spectroscopy
Marcos Silva Tavares, Carlos Augusto Alves Cardoso Silva, Jamile Raquel Regazzo, et al.
(2024)
Open Access | Times Cited: 2
How climate change is impacting the Brazilian agricultural sector: evidence from a systematic literature review
Ana Carolina Oliveira Fiorini, Gerd Brantes Angelkorte, Tamar Bakman, et al.
Environmental Research Letters (2024) Vol. 19, Iss. 8, pp. 083001-083001
Open Access | Times Cited: 2
SoilType: An R package to interplay soil characterization in plant science
Roberto Fritsche‐Neto
Agronomy Journal (2023) Vol. 116, Iss. 3, pp. 848-854
Closed Access | Times Cited: 6
Climate drivers afecting upland rice yield in the central region of Brazil
Alexandre Bryan Heinemann, L. F. Stone, Guilherme Custódio Cândido Silva, et al.
Pesquisa Agropecuária Tropical (2024) Vol. 54
Open Access | Times Cited: 1
Breeding 5.0 AI-Driven Revolution in Designed Plant Breeding
Jim‐Min Fang
Molecular Plant Breeding (2024)
Open Access | Times Cited: 1
Envirotype-based delineation of environmental effects and genotype × environment interactions in Indian soybean (Glycine max, L.)
Vennampally Nataraj, S. K. Gupta, K. H. Singh, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Characterization of common bean production regions in Brazil using machine learning techniques
Ludmilla Ferreira Justino, Alexandre Bryan Heinemann, David Henriques da Matta, et al.
Agricultural Systems (2024) Vol. 224, pp. 104237-104237
Closed Access | Times Cited: 1
New agricultural wheat frontier in Brazil: Envirotypes applied in the adaptability and stability of wheat genotypes in contrasting environments
Cleiton Renato Casagrande, Henrique Caletti Mezzomo, C. V. dos Santos, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 2
Envirotype approach for soybean genotype selection through the integration of georeferenced climate and genetic data using artificial neural networks
Bruno Grespan Leichtweis, Letícia de Faria Silva, Marco Antônio Peixoto, et al.
Euphytica (2023) Vol. 220, Iss. 1
Open Access | Times Cited: 2
Integrating statistical genetics, geographical information systems and envirotyping: a novel approach for predictive breeding and decision-making
Maurício dos Santos Araújo
(2024)
Open Access
Modeling Environmental Vulnerability for 2050 Considering Different Scenarios in the Doce River Basin, Brazil
Jasmine Alves Campos, Demétrius David da Silva, Gabrielle Ferreira Pires, et al.
Water (2024) Vol. 16, Iss. 10, pp. 1459-1459
Open Access
Performance of Machine Learning Models in Predicting Common Bean (Phaseolus vulgaris L.) Crop Nitrogen Using NIR Spectroscopy
Marcos Silva Tavares, Carlos Augusto Alves Cardoso Silva, Jamile Raquel Regazzo, et al.
Agronomy (2024) Vol. 14, Iss. 8, pp. 1634-1634
Open Access
GIS-FA: An approach to integrate thematic maps, factor-analytic and envirotyping for cultivar targeting
Maurício dos Santos Araújo, Saulo Fabrício da Silva Chaves, Luíz Antônio dos Santos Dias, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Mulatto common bean root development for high temperatures
Ana Cláudia de Lima Silva, Flávio Pereira dos Santos, Carlos de Melo e Silva‐Neto, et al.
Genetic Resources and Crop Evolution (2024) Vol. 71, Iss. 8, pp. 4141-4156
Closed Access
Nutrient extraction and export by determinate and indeterminate common bean cultivars1
Carine Gregório Machado Silva, Silvino Guimarães Moreira, Luciana Corrêa Moraes, et al.
Pesquisa Agropecuária Tropical (2024) Vol. 54
Open Access
ENVIROME-WIDE ASSOCIATIONS ENHANCE MULTI-YEAR GENOME-BASED PREDICTION OF HISTORICAL WHEAT BREEDING DATA
Germano Costa‐Neto, Leonardo Crespo‐Herrera, Nick Fradgley, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 1
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