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 extracts marks of thiamine’s role in cold acclimation in the transcriptome of Vitis vinifera
Tomáš Konečný, Maria Nikogհosyan, Hans Binder
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 7
Tomáš Konečný, Maria Nikogհosyan, Hans Binder
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 7
Showing 7 citing articles:
Time-course transcriptome analysis reveals gene co-expression networks and transposable element responses to cold stress in cotton
Yan Dai, Jialiang Zhou, Baohong Zhang, et al.
BMC Genomics (2025) Vol. 26, Iss. 1
Open Access | Times Cited: 1
Yan Dai, Jialiang Zhou, Baohong Zhang, et al.
BMC Genomics (2025) Vol. 26, Iss. 1
Open Access | Times Cited: 1
Accelerating crop improvement via integration of transcriptome-based network biology and genome editing
Izreen Izzati Razalli, Muhammad‐Redha Abdullah‐Zawawi, Amin Asyraf Tamizi, et al.
Planta (2025) Vol. 261, Iss. 4
Closed Access
Izreen Izzati Razalli, Muhammad‐Redha Abdullah‐Zawawi, Amin Asyraf Tamizi, et al.
Planta (2025) Vol. 261, Iss. 4
Closed Access
Integrative approaches to enhance reproductive resilience of crops for climate-proof agriculture
Collins Agho, Adi Avni, Ariola Bacu, et al.
Plant Stress (2024), pp. 100704-100704
Open Access | Times Cited: 3
Collins Agho, Adi Avni, Ariola Bacu, et al.
Plant Stress (2024), pp. 100704-100704
Open Access | Times Cited: 3
Unveiling Iso- and Aniso-Hydric Disparities in Grapevine—A Reanalysis by Transcriptome Portrayal Machine Learning
Tomáš Konečný, Armine Asatryan, Maria Nikogհosyan, et al.
Plants (2024) Vol. 13, Iss. 17, pp. 2501-2501
Open Access | Times Cited: 1
Tomáš Konečný, Armine Asatryan, Maria Nikogհosyan, et al.
Plants (2024) Vol. 13, Iss. 17, pp. 2501-2501
Open Access | Times Cited: 1
Deciphering Plant Transcriptomes: Leveraging Machine Learning for Deeper Insights
Bahman Panahi, Rasmieh Hamid, Hossein Mohammad Zadeh Jalaly
Current Plant Biology (2024), pp. 100432-100432
Open Access | Times Cited: 1
Bahman Panahi, Rasmieh Hamid, Hossein Mohammad Zadeh Jalaly
Current Plant Biology (2024), pp. 100432-100432
Open Access | Times Cited: 1
Multi-Omics Analysis Provides Insights into Green Soybean in Response to Cold Stress
Yan‐Hui Lin, Guangping Cao, Jing Xu, et al.
Metabolites (2024) Vol. 14, Iss. 12, pp. 687-687
Open Access
Yan‐Hui Lin, Guangping Cao, Jing Xu, et al.
Metabolites (2024) Vol. 14, Iss. 12, pp. 687-687
Open Access
Special Issue on “Plant Biology and Biotechnology: Focus on Genomics and Bioinformatics 2.0”
Yuriy L. Orlov, Ming Chen
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 24, pp. 17588-17588
Open Access | Times Cited: 1
Yuriy L. Orlov, Ming Chen
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 24, pp. 17588-17588
Open Access | Times Cited: 1
