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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:

Multi-Condition QSAR Model for the Virtual Design of Chemicals with Dual Pan-Antiviral and Anti-Cytokine Storm Profiles
Alejandro Speck‐Planche, Valeria V. Kleandrova
ACS Omega (2022) Vol. 7, Iss. 36, pp. 32119-32130
Open Access | Times Cited: 16

Showing 16 citing articles:

Perturbation-theory machine learning for mood disorders: virtual design of dual inhibitors of NET and SERT proteins
Alejandro Speck‐Planche, Valeria V. Kleandrova, M. Natália D. S. Cordeiro
BMC Chemistry (2025) Vol. 19, Iss. 1
Open Access
In Silico Approach for Antibacterial Discovery: PTML Modeling of Virtual Multi-Strain Inhibitors Against Staphylococcus aureus
Valeria V. Kleandrova, M. Natália D. S. Cordeiro, M. Natália D. S. Cordeiro
Pharmaceuticals (2025) Vol. 18, Iss. 2, pp. 196-196
Open Access
Perturbation Theory Machine Learning Model for Phenotypic Early Antineoplastic Drug Discovery: Design of Virtual Anti-Lung-Cancer Agents
Valeria V. Kleandrova, M. Natália D. S. Cordeiro, Alejandro Speck‐Planche
Applied Sciences (2024) Vol. 14, Iss. 20, pp. 9344-9344
Open Access | Times Cited: 3
Artificial intelligence and cheminformatics tools: a contribution to the drug development and chemical science
Ifra Saifi, Basharat Ahmad Bhat, Syed Suhail Hamdani, et al.
Journal of Biomolecular Structure and Dynamics (2023) Vol. 42, Iss. 12, pp. 6523-6541
Closed Access | Times Cited: 10
VGAE-MCTS: A New Molecular Generative Model Combining the Variational Graph Auto-Encoder and Monte Carlo Tree Search
Hiroaki Iwata, Taichi Nakai, Takuto Koyama, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 23, pp. 7392-7400
Open Access | Times Cited: 8
HBCVTr: an end-to-end transformer with a deep neural network hybrid model for anti-HBV and HCV activity predictor from SMILES
Ittipat Meewan, Jiraporn Panmanee, Nopphon Petchyam, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Artifical intelligence: a virtual chemist for natural product drug discovery
Shefali Arora, S. Chettri, Versha Percha, et al.
Journal of Biomolecular Structure and Dynamics (2023) Vol. 42, Iss. 7, pp. 3826-3835
Closed Access | Times Cited: 5
Optimizing drug discovery using multitasking models for quantitative structure–biological effect relationships: an update of the literature
Valeria V. Kleandrova, M. Natália D. S. Cordeiro, Alejandro Speck‐Planche
Expert Opinion on Drug Discovery (2023) Vol. 18, Iss. 11, pp. 1231-1243
Closed Access | Times Cited: 4
Molecular Design of Novel Herbicide and Insecticide Seed Compounds with Machine Learning
Yuki Nakayama, S Morishita, Hayato Doi, et al.
ACS Omega (2024) Vol. 9, Iss. 16, pp. 18488-18494
Open Access
Highly Accurate and Explainable Predictions of Small-Molecule Antioxidants for Eight In Vitro Assays Simultaneously through an Alternating Multitask Learning Strategy
Duancheng Zhao, Yanhong Zhang, Yihao Chen, et al.
Journal of Chemical Information and Modeling (2024)
Closed Access
Recent advances from computer-aided drug design to artificial intelligence drug design
Keran Wang, Yanwen Huang, Yongxian Wang, et al.
RSC Medicinal Chemistry (2024) Vol. 15, Iss. 12, pp. 3978-4000
Closed Access
The future of machine learning for small-molecule drug discovery will be driven by data
G. J. DURANT, Fergus Boyles, Kristian Birchall, et al.
Nature Computational Science (2024) Vol. 4, Iss. 10, pp. 735-743
Closed Access
MVGNet: Prediction of PI3K Inhibitors Using Multitask Learning and Multiview Frameworks
Yanlei Kang, Qiwei Xia, Yunliang Jiang, et al.
ACS Omega (2024) Vol. 9, Iss. 45, pp. 45159-45168
Open Access
AISMPred: A Machine Learning Approach for Predicting Anti-Inflammatory Small Molecules
Subathra Selvam, Priya Dharshini Balaji, Honglae Sohn, et al.
Pharmaceuticals (2024) Vol. 17, Iss. 12, pp. 1693-1693
Open Access
COVID-19 as a polymorphic inflammatory spectrum of diseases: a review with focus on the brain
Siu Wa Tang, Daiga M. Helmeste, Brian E. Leonard
Acta Neuropsychiatrica (2023) Vol. 35, Iss. 5, pp. 248-269
Open Access | Times Cited: 1
A novel application of Kier–Hall electrotopological descriptors in datamining new HIV-1 non-nucleoside reverse transcriptase inhibitors (NNRTIs) on the basis of chemical similarity
Swagata Gupta, Nilanjana Jain, Laxmi Sule, et al.
Journal of Mathematical Chemistry (2023) Vol. 62, Iss. 10, pp. 2478-2501
Closed Access
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