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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:

De Novo Drug Design of Targeted Chemical Libraries Based on Artificial Intelligence and Pair-Based Multiobjective Optimization
Domenico Alberga, Nicola Gambacorta, Daniela Trisciuzzi, et al.
Journal of Chemical Information and Modeling (2020) Vol. 60, Iss. 10, pp. 4582-4593
Closed Access | Times Cited: 78

Showing 1-25 of 78 citing articles:

Artificial intelligence to deep learning: machine intelligence approach for drug discovery
Rohan Gupta, Devesh Srivastava, Mehar Sahu, et al.
Molecular Diversity (2021) Vol. 25, Iss. 3, pp. 1315-1360
Open Access | Times Cited: 919
Machine Learning in Drug Discovery: A Review
Suresh Dara, Swetha Dhamercherla, Surender Singh Jadav, et al.
Artificial Intelligence Review (2021) Vol. 55, Iss. 3, pp. 1947-1999
Open Access | Times Cited: 492
Generative models for molecular discovery: Recent advances and challenges
Camille L. Bilodeau, Wengong Jin, Tommi Jaakkola, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2022) Vol. 12, Iss. 5
Closed Access | Times Cited: 204
Merging Ligand-Based and Structure-Based Methods in Drug Discovery: An Overview of Combined Virtual Screening Approaches
Javier Vázquez, Manel López, Enric Gibert, et al.
Molecules (2020) Vol. 25, Iss. 20, pp. 4723-4723
Open Access | Times Cited: 165
Artificial intelligence in drug discovery: applications and techniques
Jianyuan Deng, Zhibo Yang, Iwao Ojima, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 111
Computer-aided multi-objective optimization in small molecule discovery
Jenna C. Fromer, Connor W. Coley
Patterns (2023) Vol. 4, Iss. 2, pp. 100678-100678
Open Access | Times Cited: 76
Artificial Intelligence and Machine Learning Based Intervention in Medical Infrastructure: A Review and Future Trends
Kamlesh Kumar, Prince Kumar, Dipankar Deb, et al.
Healthcare (2023) Vol. 11, Iss. 2, pp. 207-207
Open Access | Times Cited: 59
Artificial intelligence in multi-objective drug design
Sohvi Luukkonen, Helle W. van den Maagdenberg, Michael Emmerich, et al.
Current Opinion in Structural Biology (2023) Vol. 79, pp. 102537-102537
Open Access | Times Cited: 59
Opportunities and challenges in application of artificial intelligence in pharmacology
Mandeep Kumar, T. P. Nhung Nguyen, Jasleen Kaur, et al.
Pharmacological Reports (2023) Vol. 75, Iss. 1, pp. 3-18
Open Access | Times Cited: 44
fragSMILES as a chemical string notation for advanced fragment and chirality representation
Fabrizio Mastrolorito, Fulvio Ciriaco, Maria Vittoria Togo, et al.
Communications Chemistry (2025) Vol. 8, Iss. 1
Open Access | Times Cited: 2
A comprehensive review of artificial intelligence and network based approaches to drug repurposing in Covid-19
Faheem Ahmed, Afaque Manzoor Soomro, Abdul Rahim Chethikkattuveli Salih, et al.
Biomedicine & Pharmacotherapy (2022) Vol. 153, pp. 113350-113350
Open Access | Times Cited: 61
PLATO: A Predictive Drug Discovery Web Platform for Efficient Target Fishing and Bioactivity Profiling of Small Molecules
Fulvio Ciriaco, Nicola Gambacorta, Daniela Trisciuzzi, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 9, pp. 5245-5245
Open Access | Times Cited: 48
TISBE: A Public Web Platform for the Consensus-Based Explainable Prediction of Developmental Toxicity
Fabrizio Mastrolorito, Maria Vittoria Togo, Nicola Gambacorta, et al.
Chemical Research in Toxicology (2024) Vol. 37, Iss. 2, pp. 323-339
Closed Access | Times Cited: 14
DRlinker: Deep Reinforcement Learning for Optimization in Fragment Linking Design
Youhai Tan, Lingxue Dai, Weifeng Huang, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 23, pp. 5907-5917
Closed Access | Times Cited: 34
MegaSyn: Integrating Generative Molecular Design, Automated Analog Designer, and Synthetic Viability Prediction
Fabio Urbina, Christopher T. Lowden, Joseph Culberson, et al.
ACS Omega (2022) Vol. 7, Iss. 22, pp. 18699-18713
Open Access | Times Cited: 31
TIRESIA: An eXplainable Artificial Intelligence Platform for Predicting Developmental Toxicity
Maria Vittoria Togo, Fabrizio Mastrolorito, Fulvio Ciriaco, et al.
Journal of Chemical Information and Modeling (2022) Vol. 63, Iss. 1, pp. 56-66
Closed Access | Times Cited: 30
Making sense of chemical space network shows signs of criticality
Nicola Amoroso, Nicola Gambacorta, Fabrizio Mastrolorito, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 17
Two heads are better than one: Unravelling the potential Impact of Artificial Intelligence in nanotechnology
Gaurav Gopal Naik, Vijay A. Jagtap
Nano TransMed (2024) Vol. 3, pp. 100041-100041
Open Access | Times Cited: 8
DeLA-DrugSelf: Empowering multi-objective de novo design through SELFIES molecular representation
Domenico Alberga, G. Lamanna, Giovanni Graziano, et al.
Computers in Biology and Medicine (2024) Vol. 175, pp. 108486-108486
Open Access | Times Cited: 7
Multi-objective optimization methods in novel drug design
George Lambrinidis, Anna Tsantili‐Kakoulidou
Expert Opinion on Drug Discovery (2020) Vol. 16, Iss. 6, pp. 647-658
Closed Access | Times Cited: 44
Machine learning models for classification tasks related to drug safety
Anita Rácz, Dávid Bajusz, Ramón Alain Miranda‐Quintana, et al.
Molecular Diversity (2021) Vol. 25, Iss. 3, pp. 1409-1424
Open Access | Times Cited: 37
Rational Design of Organelle-Targeted Fluorescent Probes: Insights from Artificial Intelligence
Jie Dong, Jie Qian, Kunqian Yu, et al.
Research (2023) Vol. 6
Open Access | Times Cited: 14
Targeting protein-protein interactions with low molecular weight and short peptide modulators: insights on disease pathways and starting points for drug discovery
Daniela Trisciuzzi, Bruno O. Villoutreix, Lydia Siragusa, et al.
Expert Opinion on Drug Discovery (2023) Vol. 18, Iss. 7, pp. 737-752
Closed Access | Times Cited: 13
Quantitative Polypharmacology Profiling Based on a Multifingerprint Similarity Predictive Approach
Fulvio Ciriaco, Nicola Gambacorta, Domenico Alberga, et al.
Journal of Chemical Information and Modeling (2021) Vol. 61, Iss. 10, pp. 4868-4876
Closed Access | Times Cited: 31
An Integrated Machine Learning Model To Spot Peptide Binding Pockets in 3D Protein Screening
Daniela Trisciuzzi, Lydia Siragusa, Massimo Baroni, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 24, pp. 6812-6824
Closed Access | Times Cited: 21
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