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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: its challenges and opportunities in plant system biology
Mohsen Hesami, Milad Alizadeh, Andrew Maxwell Phineas Jones, et al.
Applied Microbiology and Biotechnology (2022) Vol. 106, Iss. 9-10, pp. 3507-3530
Closed Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

Deep Learning Utilization in Agriculture: Detection of Rice Plant Diseases Using an Improved CNN Model
Ghazanfar Latif, Sherif E. Abdelhamid, Roxane Elias Mallouhy, et al.
Plants (2022) Vol. 11, Iss. 17, pp. 2230-2230
Open Access | Times Cited: 123
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: 43
Current status and future prospects in cannabinoid production through in vitro culture and synthetic biology
Mohsen Hesami, Marco Pepe, Austin Baiton, et al.
Biotechnology Advances (2022) Vol. 62, pp. 108074-108074
Closed Access | Times Cited: 54
Implications of lack of morphological information in fossil leaves related to Lauraceae: a statistical evaluation
Marco A. Rubalcava-Knoth, Sergio R.S. Cevallos-Ferriz
Journal of Systematic Palaeontology (2025) Vol. 23, Iss. 1
Closed Access
Machine Learning Application in Horticulture and Prospects for Predicting Fresh Produce Losses and Waste: A Review
Ikechukwu Kingsley Opara, Umezuruike Linus Opara, Jude A. Okolie, et al.
Plants (2024) Vol. 13, Iss. 9, pp. 1200-1200
Open Access | Times Cited: 4
Artificial neural network modeling for deciphering the in vitro induced salt stress tolerance in chickpea (Cicer arietinum L)
Muhammad Aasım, Fatma Ebru Akın, Syed Amjad Ali, et al.
Physiology and Molecular Biology of Plants (2023)
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: 3
Machine learning ensembles, neural network, hybrid and sparse regression approaches for weather based rainfed cotton yield forecast
GIRISH R. KASHYAP, Shakunthala Sridhara, Konapura Nagaraja Manoj, et al.
International Journal of Biometeorology (2024) Vol. 68, Iss. 6, pp. 1179-1197
Closed Access | Times Cited: 3
Leveraging machine learning to unravel the impact of cadmium stress on goji berry micropropagation
Musab A. Isak, Taner Bozkurt, Mehmet Tütüncü, et al.
PLoS ONE (2024) Vol. 19, Iss. 6, pp. e0305111-e0305111
Open Access | Times Cited: 3
Machine Learning-Assisted In Vitro Rooting Optimization in Passiflora caerulea
Marziyeh Jafari, Mohammad Hosein Daneshvar, Sahar Jafari, et al.
Forests (2022) Vol. 13, Iss. 12, pp. 2020-2020
Open Access | Times Cited: 19
Improved SVM-Based Soil-Moisture-Content Prediction Model for Tea Plantation
Ying Huang
Plants (2023) Vol. 12, Iss. 12, pp. 2309-2309
Open Access | Times Cited: 10
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: 10
A journey with psychedelic mushrooms: From historical relevance to biology, cultivation, medicinal uses, biotechnology, and beyond
Marco Pepe, Mohsen Hesami, Karla A. de la Cerda, et al.
Biotechnology Advances (2023) Vol. 69, pp. 108247-108247
Closed Access | Times Cited: 10
Comparative analysis of different artificial neural networks for predicting and optimizing in vitro seed germination and sterilization of petunia
Hamed Rezaei, Asghar Mirzaie-Asl, Mohammad Reza Abdollahi, et al.
PLoS ONE (2023) Vol. 18, Iss. 5, pp. e0285657-e0285657
Open Access | Times Cited: 9
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: 8
Integrative omics data mining
Swarna Kanchan, Minu Kesheri, Upasna Srivastava, et al.
Elsevier eBooks (2024), pp. 237-255
Closed Access | Times Cited: 2
Assessing Cadmium Stress Resilience in Myrtle Genotypes Using Machine Learning Predictive Models: A Comparative In Vitro Analysis
Mehmet Tütüncü, Musab A. Isak, Tolga İzgü, et al.
Horticulturae (2024) Vol. 10, Iss. 6, pp. 542-542
Open Access | Times Cited: 2
Mathematical modeling and optimizing the in vitro shoot proliferation of wallflower using multilayer perceptron non-dominated sorting genetic algorithm-II (MLP-NSGAII)
Fazilat Fakhrzad, Abolfazl Jowkar, Javad Hosseinzadeh
PLoS ONE (2022) Vol. 17, Iss. 9, pp. e0273009-e0273009
Open Access | Times Cited: 14
Non-Destructive Estimation of Fruit Weight of Strawberry Using Machine Learning Models
Jayanta Kumar Basak, Bhola Paudel, Na Eun Kim, et al.
Agronomy (2022) Vol. 12, Iss. 10, pp. 2487-2487
Open Access | Times Cited: 13
Machine learning in the estimation of CRISPR-Cas9 cleavage sites for plant system
Jutan Das, Sanjeev Kumar, Dwijesh Chandra Mishra, et al.
Frontiers in Genetics (2023) Vol. 13
Open Access | Times Cited: 7
Machine learning in photosynthesis: Prospects on sustainable crop development
Ressin Varghese, Aswani Kumar Cherukuri, Nicholas H. Doddrell, et al.
Plant Science (2023) Vol. 335, pp. 111795-111795
Closed Access | Times Cited: 7
Artificial neural network and decision tree–based models for prediction and validation of in vitro organogenesis of two hydrophytes—Hemianthus callitrichoides and Riccia fluitans
Esra Özcan, Hasan Hüseyin Atar, Syed Amjad Ali, et al.
In Vitro Cellular & Developmental Biology - Plant (2023) Vol. 59, Iss. 5, pp. 547-562
Closed Access | Times Cited: 7
Secondary Metabolites Produced by Trees and Fungi: Achievements So Far and Challenges Remaining
Katarzyna Nawrot‐Chorabik, Małgorzata Sulkowska, Natalia Gumulak
Forests (2022) Vol. 13, Iss. 8, pp. 1338-1338
Open Access | Times Cited: 12
A Method for Determining the Nitrogen Content of Wheat Leaves Using Multi-Source Spectral Data and a Convolution Neural Network
Jinyan Ju, Zhenyang Lv, Wuxiong Weng, et al.
Agronomy (2023) Vol. 13, Iss. 9, pp. 2387-2387
Open Access | Times Cited: 6
B Vitamins: An Update on Their Importance for Plant Homeostasis
Teresa B. Fitzpatrick
Annual Review of Plant Biology (2024) Vol. 75, Iss. 1, pp. 67-93
Closed Access | Times Cited: 1
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