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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:

Analysis of Training and Seed Bias in Small Molecules Generated with a Conditional Graph-Based Variational Autoencoder─Insights for Practical AI-Driven Molecule Generation
Seung-Gu Kang, Joseph A. Morrone, Jeffrey K. Weber, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 4, pp. 801-816
Open Access | Times Cited: 10

Showing 10 citing articles:

The AI-driven Drug Design (AIDD) platform: an interactive multi-parameter optimization system integrating molecular evolution with physiologically based pharmacokinetic simulations
Jeremy O. Jones, Robert D. Clark, Michael S. Lawless, et al.
Journal of Computer-Aided Molecular Design (2024) Vol. 38, Iss. 1
Open Access | Times Cited: 9
Predicting the Hallucinogenic Potential of Molecules Using Artificial Intelligence
Fabio Urbina, Thane Jones, Joshua S. Harris, et al.
ACS Chemical Neuroscience (2024) Vol. 15, Iss. 16, pp. 3078-3089
Closed Access | Times Cited: 2
Designing molecules with autoencoder networks
Agnieszka Ilnicka, Gisbert Schneider
Nature Computational Science (2023) Vol. 3, Iss. 11, pp. 922-933
Closed Access | Times Cited: 5
Evolving drug discovery using AI, automation, and ASMS through an integrated D-preMTA-MTA strategy for target-focused library exploration
Songling Ma, Chenming Hu, Tong Wang, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
In-Pocket 3D Graphs Enhance Ligand-Target Compatibility in Generative Small-Molecule Creation
Seung-Gu Kang, Jeffrey K. Weber, Joseph A. Morrone, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 6
Combatting over-specialization bias in growing chemical databases
Katharina Dost, Zac Pullar-Strecker, Liam Brydon, et al.
Journal of Cheminformatics (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 3
Drug Discovery in the Age of Artificial Intelligence: Transformative Target-Based Approaches
Akshata Yashwant Patne, Sai Madhav Dhulipala, William F. Lawless, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 22, pp. 12233-12233
Open Access
Recent Advancements in the Application of Artificial Intelligence in Drug Molecular Generation and Synthesis Planning
Buyong Ma, Yiguo Wang, Xingzi Li, et al.
Pharmaceutical Fronts (2024)
Open Access
Combatting Over-Specialization Bias in Growing Chemical Databases
Katharina Dost, Zac Pullar-Strecker, Liam Brydon, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 1
AIDD, an interactive AI-driven drug design system that uses molecular evolution and mechanistic pharmacokinetic simulation to optimize multiple property objectives simultaneously
Robert D. Clark, Jeremy O. Jones, Michael S. Lawless, et al.
Research Square (Research Square) (2023)
Open Access
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