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:

Artificial neural network and decision tree facilitated prediction and validation of cytokinin-auxin induced in vitro organogenesis of sorghum (Sorghum bicolor L.)
Muhammad Aasım, Syed Amjad Ali, Muhammad Tanveer Altaf, et al.
Plant Cell Tissue and Organ Culture (PCTOC) (2023) Vol. 153, Iss. 3, pp. 611-624
Closed Access | Times Cited: 16

Showing 16 citing articles:

Artificial intelligence for life sciences: A comprehensive guide and future trends
Ming Luo, Wenyu Yang, Long Bai, et al.
The Innovation Life (2024), pp. 100105-100105
Closed Access | Times Cited: 5

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

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: 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

Synergizing LED Technology and Hydropriming for Intelligent Modeling and Mathematical Expressions to Optimize Chickpea Germination and Growth Indices
Muhammad Aasım, Fatma Ebru Akın, Syed Amjad Ali
Journal of Plant Growth Regulation (2024) Vol. 43, Iss. 7, pp. 2340-2359
Open Access | Times Cited: 1

Response surface methodology and artificial intelligence modeling for in vitro regeneration of Brazilian micro sword (Lilaeopsis brasiliensis)
Syed Amjad Ali, Muhammad Aasım
Plant Cell Tissue and Organ Culture (PCTOC) (2024) Vol. 157, Iss. 1
Open Access | Times Cited: 1

Priming edilmiş endüstriyel kenevir (Cannabis sativa L.) tohumlarının in vitro çimlenmesinin optimize edilmesi
Büşra YILDIRIM, Muhammad Aasım, Selim Aytaç
Anatolian Journal of Botany (2023) Vol. 7, Iss. 2, pp. 112-116
Open Access | Times Cited: 3

Comparing quantum machine learning and classical machine learning for in vitro regeneration of cowpea (Vigna unguiculata)
Ramazan Katırcı, Muhammad Aasım, Gizem Deveci, et al.
Plant Cell Tissue and Organ Culture (PCTOC) (2024) Vol. 159, Iss. 2
Closed Access

Phosphate-solubilizing fungus (PSF) - mediated phosphorous solubilization and validation through Artificial intelligence computation
Fatih Ölmez, Zemran Mustafa, Şahimerdan Türkölmez, et al.
World Journal of Microbiology and Biotechnology (2024) Vol. 40, Iss. 12
Closed Access

Source Effect of cytokinin auxin on Micropropagation of Kalanchoe blossfeldiana Pollen
Rahma Bejaouı, Şeküre Şebnem Ellialtıoğlu, Ruhsar Yanmaz
Türk Tarım ve Doğa Bilimleri Dergisi (2024) Vol. 11, Iss. 4, pp. 1182-1192
Open Access

Omics Approaches for Improving Sorghum Value Chains
Pradeep Ruperao, Srikanth Bollam
(2024), pp. 359-376
Closed Access

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