Open Access Helper

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:

Advancing drug discovery with deep attention neural networks
Antonio Lavecchia
Drug Discovery Today (2024) Vol. 29, Iss. 8, pp. 104067-104067
Open Access | Times Cited: 9

Showing 9 citing articles:

Artificial Intelligence in Natural Product Drug Discovery: Current Applications and Future Perspectives
Amit Gangwal, Antonio Lavecchia
Journal of Medicinal Chemistry (2025)
Open Access | Times Cited: 1
Artificial intelligence in preclinical research: enhancing digital twins and organ-on-chip to reduce animal testing
Amit Gangwal, Antonio Lavecchia
Drug Discovery Today (2025), pp. 104360-104360
Open Access
Navigating the frontier of drug-like chemical space with cutting-edge generative AI models
Antonio Lavecchia
Drug Discovery Today (2024) Vol. 29, Iss. 9, pp. 104133-104133
Open Access | Times Cited: 3
PHCDTI: A multichannel parallel high-order feature crossover model for DTIs prediction
Yuqing Ye, Xiao Zhang, Menglin Kong, et al.
Expert Systems with Applications (2024) Vol. 256, pp. 124873-124873
Closed Access | Times Cited: 1
Cheminformatic Identification of Tyrosyl-DNA Phosphodiesterase 1 (Tdp1) Inhibitors: A Comparative Study of SMILES-Based Supervised Machine Learning Models
Conan Hong-Lun Lai, Alex Pak Ki Kwok, Kwong-Cheong Wong
Journal of Personalized Medicine (2024) Vol. 14, Iss. 9, pp. 981-981
Open Access
AI-Driven Drug Discovery for Rare Diseases
Amit Gangwal, Antonio Lavecchia
Journal of Chemical Information and Modeling (2024)
Closed Access
Leveraging Machine Learning, Transformers, and Large-Scale Chemical Data to Predict TGF-β1 Inhibitors for Cardiac Fibrosis Treatment
Aneri Chavda
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 4974-4980
Closed Access
Enhancing De Novo Drug Design across Multiple Therapeutic Targets with CVAE Generative Models
Virgilio Romanelli, Daniela Annunziata, Carmen Cerchia, et al.
ACS Omega (2024) Vol. 9, Iss. 43, pp. 43963-43976
Open Access
Unlocking therapeutic frontiers: harnessing artificial intelligence in drug discovery for neurodegenerative diseases
Bilal Nehmeh, Joseph Rebehmed, Riham Nehmeh, et al.
Drug Discovery Today (2024) Vol. 29, Iss. 12, pp. 104216-104216
Closed Access
Deep mining of megawatt large wind turbine actual operating data: exploration of accurate modeling & performance optimization
Weimin Wu, Xiongfei Liu, Yu Ren, et al.
(2024)
Open Access
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