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:

Cheminformatic Analysis and Machine Learning Modeling to Investigate Androgen Receptor Antagonists to Combat Prostate Cancer
Tianshi Yu, Chanin Nantasenamat, Supicha Kachenton, et al.
ACS Omega (2023) Vol. 8, Iss. 7, pp. 6729-6742
Open Access | Times Cited: 12

Showing 12 citing articles:

Integrating Genetic Algorithm and LightGBM for QSAR Modeling of Acetylcholinesterase Inhibitors in Alzheimer's Disease Drug Discovery
Teuku Rizky Noviandy, Aga Maulana, Ghazi Mauer Idroes, et al.
Malacca Pharmaceutics (2023) Vol. 1, Iss. 2, pp. 48-54
Open Access | Times Cited: 34

Ensemble Machine Learning Approach for Quantitative Structure Activity Relationship Based Drug Discovery: A Review
Teuku Rizky Noviandy, Aga Maulana, Ghazi Mauer Idroes, et al.
Infolitika Journal of Data Science (2023) Vol. 1, Iss. 1, pp. 32-41
Open Access | Times Cited: 24

QSAR-Based Stacked Ensemble Classifier for Hepatitis C NS5B Inhibitor Prediction
Teuku Rizky Noviandy, Aga Maulana, Ghazi Mauer Idroes, et al.
(2023), pp. 220-225
Closed Access | Times Cited: 22

Classifying Beta-Secretase 1 Inhibitor Activity for Alzheimer’s Drug Discovery with LightGBM
Teuku Rizky Noviandy, Khairun Nisa, Ghalieb Mutig Idroes, et al.
Journal of Computing Theories and Applications (2024) Vol. 1, Iss. 4, pp. 358-367
Open Access | Times Cited: 14

Application of Ensemble Machine Learning Methods for QSAR Classification of Leukotriene A4 Hydrolase Inhibitors in Drug Discovery
Teuku Rizky Noviandy, Ghifari Maulana Idroes, Fazlin Mohd Fauzi, et al.
Malacca Pharmaceutics (2024) Vol. 2, Iss. 2, pp. 68-78
Closed Access | Times Cited: 8

An Explainable Multi-Model Stacked Classifier Approach for Predicting Hepatitis C Drug Candidates
Teuku Rizky Noviandy, Aga Maulana, Ghifari Maulana Idroes, et al.
Sci (2024) Vol. 6, Iss. 4, pp. 81-81
Open Access | Times Cited: 6

StackER: a novel SMILES-based stacked approach for the accelerated and efficient discovery of ERα and ERβ antagonists
Nalini Schaduangrat, Nutta Homdee, Watshara Shoombuatong
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11

Scaffold and SAR studies on c-MET inhibitors using machine learning approaches
Jing Zhang, Mingming Zhang, Wei‐Ran Huang, et al.
Journal of Pharmaceutical Analysis (2025), pp. 101303-101303
Open Access

Machine Learning Approaches to Investigate the Structure–Activity Relationship of Angiotensin-Converting Enzyme Inhibitors
Tianshi Yu, Chanin Nantasenamat, Nuttapat Anuwongcharoen, et al.
ACS Omega (2023) Vol. 8, Iss. 46, pp. 43500-43510
Open Access | Times Cited: 9

In Silico Identification of Selective KRAS G12D Inhibitor via Machine Learning‐Based Molecular Docking Combined with Molecular Dynamics Simulation
Panik Nadee, Napat Prompat, Montarop Yamabhai, et al.
Advanced Theory and Simulations (2024)
Closed Access

Computational strategies for identifying high-risk SNP of PTEN in prostate cancer: A Mutational profiling study
Vharshini Sivaraj, Deetchika Sekar, Zoubiya Afshan Ansar, et al.
Indian Journal of Biochemistry and Biophysics (2024)
Open Access

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