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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:

Characterization of Iranian Grapevine Cultivars Using Machine Learning Models
Bahman Panahi, Seyed Abolghasem Mohammadi, Hamed Doulati-Baneh
Proceedings of the National Academy of Sciences India Section B Biological Sciences (2019) Vol. 90, Iss. 3, pp. 615-621
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Screening of potential probiotic lactic acid bacteria with antimicrobial properties and selection of superior bacteria for application as biocontrol using machine learning models
Mahsa Sadeghi, Bahman Panahi, Atefeh Mazlumi, et al.
LWT (2022) Vol. 162, pp. 113471-113471
Open Access | Times Cited: 56
Weighted gene co-expression network analysis identifies modules and functionally enriched pathways in the lactation process
Mohammad Farhadian, Seyed Abbas Rafat, Bahman Panahi, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 50
Application of machine learning in bacteriophage research
Yousef Nami, Nazila Imeni, Bahman Panahi
BMC Microbiology (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 48
Identification of gene expression signature for drought stress response in barley (Hordeum vulgare L.) using machine learning approach
Bahman Panahi, Saber Golkari
Current Plant Biology (2024) Vol. 39, pp. 100370-100370
Open Access | Times Cited: 8
Integration of machine learning models with microsatellite markers: New avenue in world grapevine germplasm characterization
Hossein Abbasi Holasou, Bahman Panahi, Ali Shahi-Gharahlar, et al.
Biochemistry and Biophysics Reports (2024) Vol. 38, pp. 101678-101678
Open Access | Times Cited: 5
Application of unsupervised clustering algorithm and heat-map analysis for selection of lactic acid bacteria isolated from dairy samples based on desired probiotic properties
Yousef Nami, Bahman Panahi, Hossein Mohammadzadeh Jalaly, et al.
LWT (2019) Vol. 118, pp. 108839-108839
Closed Access | Times Cited: 40
Integrative Systems Biology Analysis Elucidates Mastitis Disease Underlying Functional Modules in Dairy Cattle
nooshin ghahramani, J. Shodja, Seyed Abbas Rafat, et al.
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 29
Probiotic potential characterization and clustering using unsupervised algorithms of lactic acid bacteria from saltwater fish samples
Atefeh Mazlumi, Bahman Panahi, Mohammad Amin Hejazi, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 20
Transcriptome signature for multiple biotic and abiotic stress in barley (Hordeum vulgare L.) identifies using machine learning approach
Bahman Panahi
Current Plant Biology (2024) Vol. 40, pp. 100416-100416
Open Access | Times Cited: 4
LeafLaminaMap: Exploring Leaf Color Patterns Using RGB Color Indices
Péter Bodor-Pesti, Lien Le Phuong Nguyen, Thanh Ba Nguyen, et al.
AgriEngineering (2025) Vol. 7, Iss. 2, pp. 39-39
Open Access
Comparative analysis of waterlogging and drought stress regulatory networks in barley (Hordeum vulgare)
Bahman Panahi
Functional Plant Biology (2025) Vol. 52, Iss. 3
Closed Access
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: 3
Variability and association among some pomological and physiochemical traits in spring frost tolerant genotypes of Persian walnut (Juglans regia L.) and selection of genotypes with superior traits based on machine learning algorithms
Bahman Panahi, Sadegh Tajaddod, Hossein Mohammadzadeh Jallali, et al.
Genetic Resources and Crop Evolution (2021) Vol. 69, Iss. 3, pp. 959-971
Closed Access | Times Cited: 19
Comparison and selection of probiotic Lactobacillus from human intestinal tract and traditional fermented food in vitro via PCA, unsupervised clustering algorithm, and heat‐map analysis
Longfei Zhang, Hengxian Qu, Xiaoxiao Liu, et al.
Food Science & Nutrition (2022) Vol. 10, Iss. 12, pp. 4247-4257
Open Access | Times Cited: 11
Probiotic Characterization of LAB isolated from Sourdough and Different Traditional Dairy Products Using Biochemical, Molecular and Computational Approaches
Yousef Nami, Bahman Panahi, Hossein Mohammadzadeh Jalaly, et al.
Probiotics and Antimicrobial Proteins (2024)
Closed Access | Times Cited: 2
Transcriptome signature of two lactation stages in Ghezel sheep identifies using RNA-Sequencing
Mohammad Farhadian, Seyed Abbas Rafat, Bahman Panahi, et al.
Animal Biotechnology (2020) Vol. 33, Iss. 2, pp. 223-233
Closed Access | Times Cited: 16
Genome mining approach reveals the CRISPR-Cas systems features and characteristics in Lactobacillus delbrueckii strains
Bahman Panahi, Mohaddeseh Rostampour, Mohammad Reza Ghaffari, et al.
Heliyon (2024) Vol. 10, Iss. 22, pp. e39920-e39920
Open Access | Times Cited: 1
Detection Technologies, and Machine Learning in Food: Recent Advances and Future Trends
Qiong He, Heng-Yu Huang, Yuanzhong Wang
Food Bioscience (2024), pp. 105558-105558
Closed Access | Times Cited: 1
Morphological Traits Evaluated with Random Forest Method Explains Natural Classification of Grapevine (Vitis vinifera L.) Cultivars
Zsófia Szűgyi-Reiczigel, Márta Ladányi, Gy. Bisztray, et al.
Plants (2022) Vol. 11, Iss. 24, pp. 3428-3428
Open Access | Times Cited: 6
Supervised and unsupervised machine learning approaches for prediction and geographical discrimination of Iranian saffron ecotypes based on flower-related and phytochemical attributes
Seid Mohammad Alavi‐Siney, Jalal Saba, Alireza Fotuhi Siahpirani, et al.
Information Processing in Agriculture (2023)
Open Access | Times Cited: 3
Optimization of Hormonal Combinations for In Vitro Regeneration of Lesser Periwinkle (Vinca minor L.) and Assessment of Genetic Homogeneity
Saleh Amiri, Reza Fotovat, Alireza Tarinejhad, et al.
Proceedings of the National Academy of Sciences India Section B Biological Sciences (2019) Vol. 90, Iss. 3, pp. 669-675
Closed Access | Times Cited: 7
Comparative phenotypic and transcriptomic analysis of Victoria and flame seedless grape cultivars during berry ripening
Haixia Zhong, Fuchun Zhang, Mingqi Pan, et al.
FEBS Open Bio (2020) Vol. 10, Iss. 12, pp. 2616-2630
Open Access | Times Cited: 4
Genetic diversity analysis of tetraploid Alfalfa (Medicago sativa subsp. sativa L.) populations collected from north-west regions of Iran using simple sequence repeat markers
Younes Rameshknia, Varahram Rashidi, Hassan Monirifar, et al.
Genetic Resources and Crop Evolution (2024) Vol. 71, Iss. 7, pp. 3603-3612
Closed Access
Application of Supervised Machine Learning Models with Inter Simple Sequence Repeat Markers for Prediction of Grass Species
Reza Mohammadi, Bahman Panahi, Saleh Amiri
Lecture notes in networks and systems (2024), pp. 101-108
Closed Access
Supervised machine learning and genotype by trait biplot as promising approaches for selection of phytochemically enriched Rhus coriaria genotypes
Hamid Hatami Maleki, Reza Darvishzadeh, Ahmad Alijanpour, et al.
Heliyon (2024) Vol. 11, Iss. 1, pp. e41548-e41548
Open Access
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