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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:

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: 67

Showing 1-25 of 67 citing articles:

Temperature‐smart plants: A new horizon with omics‐driven plant breeding
Ali Raza, Shanza Bashir, Tushar Khare, et al.
Physiologia Plantarum (2024) Vol. 176, Iss. 1
Open Access | Times Cited: 20
Stomatal conductance modulates maize yield through water use and yield components under salinity stress
Qi Liao, Risheng Ding, Taisheng Du, et al.
Agricultural Water Management (2024) Vol. 294, pp. 108717-108717
Open Access | Times Cited: 15
Influence of particle size on NIR spectroscopic characterization of sorghum biomass for the biofuel industry
Md Wadud Ahmed, Carlos Esquerre, Kristen K. Eilts, et al.
Results in Chemistry (2025) Vol. 13, pp. 102016-102016
Open Access | Times Cited: 1
Genetics as a key to improving crop photosynthesis
Tom P. J. M. Theeuwen, Louise L. Logie, Jeremy Harbinson, et al.
Journal of Experimental Botany (2022) Vol. 73, Iss. 10, pp. 3122-3137
Open Access | Times Cited: 49
Multi-omics revolution to promote plant breeding efficiency
Umer Mahmood, Xiaodong Li, Yonghai Fan, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 47
Rapid non-destructive method to phenotype stomatal traits
Phetdalaphone Pathoumthong, Zhen Zhang, Stuart J. Roy, et al.
Plant Methods (2023) Vol. 19, Iss. 1
Open Access | Times Cited: 25
Rapid and high-throughput determination of sorghum (Sorghum bicolor) biomass composition using near infrared spectroscopy and chemometrics
Md Wadud Ahmed, Carlos Esquerre, Kristen K. Eilts, et al.
Biomass and Bioenergy (2024) Vol. 186, pp. 107276-107276
Open Access | Times Cited: 7
Combining GWAS and TWAS to identify candidate causal genes for tocochromanol levels in maize grain
Di Wu, Xiaowei Li, R. Tanaka, et al.
Genetics (2022) Vol. 221, Iss. 4
Open Access | Times Cited: 27
Recent advances in artificial intelligence, mechanistic models, and speed breeding offer exciting opportunities for precise and accelerated genomics‐assisted breeding
Javaid Akhter Bhat, Xianzhong Feng, Zahoor Ahmad Mir, et al.
Physiologia Plantarum (2023) Vol. 175, Iss. 4
Closed Access | Times Cited: 15
Insights into PeERF168 gene in slash pine terpene biosynthesis: Integrating high-throughput phenotyping, GWAS, and transgenic studies
Xianyin Ding, Shu Diao, Yini Zhang, et al.
International Journal of Biological Macromolecules (2025), pp. 139728-139728
Closed Access
GWAS and eQTL analyses reveal genetic components influencing the key fiber yield trait lint percentage in upland cotton
Chunping Guo, Ruizhen Pi, Yuanlong Wu, et al.
The Plant Journal (2025) Vol. 121, Iss. 5
Open Access
Classical phenotyping and deep learning concur on genetic control of stomatal density and area in sorghum
Raju Bheemanahalli, Chaoxin Wang, Elfadil M. A. Bashir, et al.
PLANT PHYSIOLOGY (2021) Vol. 186, Iss. 3, pp. 1562-1579
Open Access | Times Cited: 39
Improving C4 photosynthesis to increase productivity under optimal and suboptimal conditions
Cristina Rodrigues Gabriel Sales, Yu Wang, Jochem B. Evers, et al.
Journal of Experimental Botany (2021) Vol. 72, Iss. 17, pp. 5942-5960
Open Access | Times Cited: 39
Phenotyping stomatal closure by thermal imaging for GWAS and TWAS of water use efficiency-related genes
Charles P. Pignon, Samuel B. Fernandes, Ravi Valluru, et al.
PLANT PHYSIOLOGY (2021) Vol. 187, Iss. 4, pp. 2544-2562
Open Access | Times Cited: 37
Understanding source–sink interactions: Progress in model plants and translational research to crops
Laíse Rosado-Souza, Ryo Yokoyama, Uwe Sonnewald, et al.
Molecular Plant (2022) Vol. 16, Iss. 1, pp. 96-121
Open Access | Times Cited: 26
Integrating GWAS and TWAS to elucidate the genetic architecture of maize leaf cuticular conductance
Meng Lin, Pengfei Qiao, Susanne Matschi, et al.
PLANT PHYSIOLOGY (2022) Vol. 189, Iss. 4, pp. 2144-2158
Open Access | Times Cited: 22
Artificial Intelligence for Biomass Detection, Production and Energy Usage in Rural Areas: A review of Technologies and Applications
Zhan Shi, Giovanni Ferrari, Ping Ai, et al.
Sustainable Energy Technologies and Assessments (2023) Vol. 60, pp. 103548-103548
Open Access | Times Cited: 14
TWAS facilitates gene-scale trait genetic dissection through gene expression, structural variations, and alternative splicing in soybean
Delin Li, Qi Wang, Yu Tian, et al.
Plant Communications (2024) Vol. 5, Iss. 10, pp. 101010-101010
Open Access | Times Cited: 4
Reducing stomatal density by expression of a synthetic epidermal patterning factor increases leaf intrinsic water use efficiency and reduces plant water use in a C4 crop
John N. Ferguson, Peter Schmuker, Anna Dmitrieva, et al.
Journal of Experimental Botany (2024) Vol. 75, Iss. 21, pp. 6823-6836
Open Access | Times Cited: 4
Salinity-specific stomatal conductance model parameters are reduced by stomatal saturation conductance and area via leaf nitrogen
Qi Liao, Risheng Ding, Taisheng Du, et al.
The Science of The Total Environment (2023) Vol. 876, pp. 162584-162584
Closed Access | Times Cited: 11
Excised leaves show limited and species-specific effects on photosynthetic parameters across crop functional types
John N. Ferguson, Tamanna Jithesh, Tracy Lawson, et al.
Journal of Experimental Botany (2023) Vol. 74, Iss. 21, pp. 6662-6676
Open Access | Times Cited: 11
Data-driven approaches to improve water-use efficiency and drought resistance in crop plants
Niharika Sharma, Harsh Raman, David A. Wheeler, et al.
Plant Science (2023) Vol. 336, pp. 111852-111852
Closed Access | Times Cited: 10
To have value, comparisons of high-throughput phenotyping methods need statistical tests of bias and variance
Justin M. McGrath, Matthew H. Siebers, Peng Fu, et al.
Frontiers in Plant Science (2024) Vol. 14
Open Access | Times Cited: 3
Natural polymorphisms in ZmIRX15A affect water‐use efficiency by modulating stomatal density in maize
Kun Zhang, Ming Xue, Feng Qin, et al.
Plant Biotechnology Journal (2023) Vol. 21, Iss. 12, pp. 2560-2573
Open Access | Times Cited: 9
Testing unified theories for ozone response in C4 species
Shuai Li, Christopher A. Moller, Noah G. Mitchell, et al.
Global Change Biology (2022) Vol. 28, Iss. 10, pp. 3379-3393
Open Access | Times Cited: 14
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