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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-Assisted Approaches in Modernized Plant Breeding Programs
Mohsen Yoosefzadeh-Najafabadi, Mohsen Hesami, Milad Eskandari
Genes (2023) Vol. 14, Iss. 4, pp. 777-777
Open Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

Multi-Omics Pipeline and Omics-Integration Approach to Decipher Plant’s Abiotic Stress Tolerance Responses
Rajib Roychowdhury, Soumya Prakash Das, Amber Gupta, et al.
Genes (2023) Vol. 14, Iss. 6, pp. 1281-1281
Open Access | Times Cited: 84
Towards sustainable agriculture: Harnessing AI for global food security
Dhananjay K. Pandey, Richa Mishra
Artificial Intelligence in Agriculture (2024) Vol. 12, pp. 72-84
Open Access | Times Cited: 42
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: 27
Approaches for the amelioration of adverse effects of drought stress on soybean plants: from physiological responses to agronomical, molecular, and cutting-edge technologies
Muhammad Faheem Jan, Muhammad Tanveer Altaf, Waqas Liaqat, et al.
Plant and Soil (2025)
Closed Access | Times Cited: 2
Integrating artificial intelligence and high-throughput phenotyping for crop improvement
Mansoor Sheikh, Farooq Iqra, Hamadani Ambreen, et al.
Journal of Integrative Agriculture (2023) Vol. 23, Iss. 6, pp. 1787-1802
Open Access | Times Cited: 38
Modern Plant Breeding Techniques in Crop Improvement and Genetic Diversity: From Molecular Markers and Gene Editing to Artificial Intelligence—A Critical Review
Lixia Sun, Mingyu Lai, Fozia Ghouri, et al.
Plants (2024) Vol. 13, Iss. 19, pp. 2676-2676
Open Access | Times Cited: 14
Application of machine learning and genomics for orphan crop improvement
Tessa R. MacNish, Monica F. Danilevicz, Philipp E. Bayer, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 1
Reviewing the essential roles of remote phenotyping, GWAS and explainable AI in practical marker-assisted selection for drought-tolerant winter wheat breeding
Ignacio Chang-Brahim, Lukas J. Koppensteiner, Lorenzo Beltrame, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 6
Applications of Artificial Intelligence in Wheat Breeding for Sustainable Food Security
Muhammad Ahtasham Mushtaq, Hafiz Ghulam Muhu‐Din Ahmed, Yawen Zeng
Sustainability (2024) Vol. 16, Iss. 13, pp. 5688-5688
Open Access | Times Cited: 6
Machine learning for soybean yield forecasting in Brazil
Malte von Bloh, Rogério de Souza Nóia Júnior, Xaver Wangerpohl, et al.
Agricultural and Forest Meteorology (2023) Vol. 341, pp. 109670-109670
Closed Access | Times Cited: 16
Biosynthesis of biomolecules from saffron as an industrial crop and their regulation, with emphasis on the chemistry, extraction methods, identification techniques, and potential applications in human health and food: A critical comprehensive review
Vishal Gupta, Gayatri Jamwal, G. Rai, et al.
Biocatalysis and Agricultural Biotechnology (2024) Vol. 59, pp. 103260-103260
Closed Access | Times Cited: 5
AI-powered revolution in plant sciences: advancements, applications, and challenges for sustainable agriculture and food security
Deependra Kumar Gupta, Anselmo Pagani, Paolo Zamboni, et al.
(2024) Vol. 2, Iss. 5, pp. 443-459
Open Access | Times Cited: 5
Wheat genetic resources have avoided disease pandemics, improved food security, and reduced environmental footprints: A review of historical impacts and future opportunities
Julie King, Susanne Dreisigacker, Matthew Reynolds, et al.
Global Change Biology (2024) Vol. 30, Iss. 8
Open Access | Times Cited: 5
Omics-assisted crop improvement under abiotic stress conditions
Ali Raza, Sunil S. Gangurde, Karansher Singh Sandhu, et al.
Plant Stress (2024), pp. 100626-100626
Open Access | Times Cited: 5
Enhancing petunia tissue culture efficiency with machine learning: A pathway to improved callogenesis
Hamed Rezaei, Asghar Mirzaie-Asl, Mohammad Reza Abdollahi, et al.
PLoS ONE (2023) Vol. 18, Iss. 11, pp. e0293754-e0293754
Open Access | Times Cited: 12
AllInOne Pre-processing: A comprehensive preprocessing framework in plant field phenotyping
Mohsen Yoosefzadeh-Najafabadi, Ali Heidari, Istvan Rajcan
SoftwareX (2023) Vol. 23, pp. 101464-101464
Open Access | Times Cited: 11
Prediction and optimization of indirect shoot regeneration of Passiflora caerulea using machine learning and optimization algorithms
Marziyeh Jafari, Mohammad Hosein Daneshvar
BMC Biotechnology (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 11
Machine learning-mediated Passiflora caerulea callogenesis optimization
Marziyeh Jafari, Mohammad Hosein Daneshvar
PLoS ONE (2024) Vol. 19, Iss. 1, pp. e0292359-e0292359
Open Access | Times Cited: 4
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
Yield prediction in a peanut breeding program using remote sensing data and machine learning algorithms
N. Ace Pugh, Andrew W. Young, M. D. Ojha, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 4
Flavonoids as key players in cold tolerance: molecular insights and applications in horticultural crops
Jiaxin Li, Qinhan Yu, Chang Liu, et al.
Horticulture Research (2025) Vol. 12, Iss. 4
Open Access
Identification of key drought-tolerant genes in soybean using an integrative data-driven feature engineering pipeline
Pei-Hsiu Kao, Supaporn Baiya, C Lee, et al.
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
Cell Wall–Based Machine Learning Models to Predict Plant Growth Using Onion Epidermis
Celia Khoulali, Juan Manuel Pastor, Javier Galeano, et al.
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 7, pp. 2946-2946
Open Access
Transformation of Plant Breeding Using Data Analytics and Information Technology: Innovations, Applications, and Prospective Directions
Mohammad Muzahidur Rahman Bhuiyan, Inshad Rahman Noman, M. A. Aziz, et al.
Frontiers in Bioscience-Elite (2025) Vol. 17, Iss. 1
Open Access
Access and benefit sharing biological materials for machines: Artificial intelligence, machine learning and deep learning
Charles Lawson, Elizabeth Englezos, Michelle Rourke
Plants People Planet (2025)
Open Access
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