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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:

PharmaNet: Pharmaceutical discovery with deep recurrent neural networks
Paola Ruiz Puentes, Natalia Valderrama, Cristina González, et al.
PLoS ONE (2021) Vol. 16, Iss. 4, pp. e0241728-e0241728
Open Access | Times Cited: 15

Showing 15 citing articles:

Computational models for predicting liver toxicity in the deep learning era
Fahad Mostafa, Minjun Chen
Frontiers in Toxicology (2024) Vol. 5
Open Access | Times Cited: 8
Machine Learning and Artificial Intelligence: A Paradigm Shift in Big Data-Driven Drug Design and Discovery
Purvashi Pasrija, Prakash Jha, Pruthvi Upadhyaya, et al.
Current Topics in Medicinal Chemistry (2022) Vol. 22, Iss. 20, pp. 1692-1727
Closed Access | Times Cited: 30
Deep Learning and Computer Vision Techniques for Enhanced Quality Control in Manufacturing Processes
Md Raisul Islam, Md Zakir Hossain Zamil, Md. Eshmam Rayed, et al.
IEEE Access (2024) Vol. 12, pp. 121449-121479
Open Access | Times Cited: 4
Design, Screening, and Testing of Non-Rational Peptide Libraries with Antimicrobial Activity: In Silico and Experimental Approaches
Paola Ruiz Puentes, María C. Henao, Carlos E. Torres, et al.
Antibiotics (2020) Vol. 9, Iss. 12, pp. 854-854
Open Access | Times Cited: 30
Predicting target–ligand interactions with graph convolutional networks for interpretable pharmaceutical discovery
Paola Ruiz Puentes, Laura Rueda-Gensini, Natalia Valderrama, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 11
The Millennia-Long Development of Drugs Associated with the 80-Year-Old Artificial Intelligence Story: The Therapeutic Big Bang?
Aurore Crouzet, Nicolas G. Lopez, Benjamin Riss Yaw, et al.
Molecules (2024) Vol. 29, Iss. 12, pp. 2716-2716
Open Access | Times Cited: 1
Molecular Toxicity Virtual Screening Applying a Quantized Computational SNN-Based Framework
Mauro Nascimben, Lia Rimondini
Molecules (2023) Vol. 28, Iss. 3, pp. 1342-1342
Open Access | Times Cited: 3
Integrating Pharmacophore Model and Deep Learning for Activity Prediction of Molecules with BRCA1 Gene
Seloua Hadiby, Yamina Mohamed Ben Ali
Journal of Bioinformatics and Computational Biology (2024) Vol. 22, Iss. 01
Closed Access
ALMERIA: Boosting Pairwise Molecular Contrasts with Scalable Methods
Rafael Mena-Yedra, Juana L. Redondo, Horacio Pérez‐Sánchez, et al.
Informatica (2024), pp. 617-648
Open Access
Combining Deep Learning Models for Improved Drug Repurposing: Advancements and an Extended Solution Methodology
Utku Köse, Ömer Deperlioğlu, Ecir Uğur Küçüksille, et al.
2022 International Conference on Inventive Computation Technologies (ICICT) (2024)
Closed Access
Bayesian graph convolutional network with partial observations
Shuhui Luo, Peilan Liu, Xulun Ye
PLoS ONE (2024) Vol. 19, Iss. 7, pp. e0307146-e0307146
Open Access
Deep learning applications in genomics-based toxicology assessment
Sarra Akermi, Abira Dey, R Li, et al.
Elsevier eBooks (2024), pp. 327-344
Closed Access
Modeling of the Crystallization Conditions for Organic Synthesis Product Purification Using Deep Learning
Mantas Vaškevičius, Jurgita Kapočiūtė-Dzikienė, Liudas Šlepikas
Electronics (2022) Vol. 11, Iss. 9, pp. 1360-1360
Open Access | Times Cited: 3
AI's role in pharmaceuticals: Assisting drug design from protein interactions to drug development
Solene Bechelli, Jérôme Delhommelle
Artificial Intelligence Chemistry (2023) Vol. 2, Iss. 1, pp. 100038-100038
Open Access | Times Cited: 1
Institutional change and stability in strategic networks in the Brazilian pharmaceutical industry
Jefferson Marlon Monticelli, Douglas Wegner
International Journal of Pharmaceutical and Healthcare Marketing (2022) Vol. 16, Iss. 2, pp. 260-281
Closed Access | Times Cited: 2
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