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:

Success stories of AI in drug discovery - where do things stand?
Kit‐Kay Mak, Madhu Katyayani Balijepalli, Mallikarjuna Rao Pichika
Expert Opinion on Drug Discovery (2021) Vol. 17, Iss. 1, pp. 79-92
Closed Access | Times Cited: 41

Showing 26-50 of 41 citing articles:

A Brief Review of Machine Learning-Based Bioactive Compound Research
Jihye Park, Bo Ram Beck, Hoo Hyun Kim, et al.
Applied Sciences (2022) Vol. 12, Iss. 6, pp. 2906-2906
Open Access | Times Cited: 9

New directions in psychiatric drug development: promising therapeutics in the pipeline
Linda S. Brady, Sarah H. Lisanby, Joshua A. Gordon
Expert Opinion on Drug Discovery (2023) Vol. 18, Iss. 8, pp. 835-850
Closed Access | Times Cited: 5

GA-XGBoost, an explainable AI technique, for analysis of thrombin inhibitory activity of diverse pool of molecules and supported by X-ray
Vijay H. Masand, Sami A. Al‐Hussain, Abdullah Yahya Abdullah Alzahrani, et al.
Chemometrics and Intelligent Laboratory Systems (2024) Vol. 253, pp. 105197-105197
Closed Access | Times Cited: 1

Artificial Intelligence in the Paradigm Shift of Pharmaceutical Sciences: A Review
Rahul S. Tade, Swapnil N. Jain, Janhavi T. Satyavijay, et al.
Nano Biomedicine and Engineering (2023) Vol. 16, Iss. 1, pp. 64-77
Open Access | Times Cited: 3

ProGReST: Prototypical Graph Regression Soft Trees for Molecular Property Prediction
Dawid Rymarczyk, Daniel Dobrowolski, Tomasz Danel
Society for Industrial and Applied Mathematics eBooks (2023), pp. 379-387
Open Access | Times Cited: 2

Low-cost, autonomous microscopy using deep learning and robotics: A crystal morphology case study
Matthew R. Wilkinson, Bernardo Castro‐Dominguez, Chick C. Wilson, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106985-106985
Open Access | Times Cited: 2

AI Powered Identification of Drug Targets and Pathways for Diagnosis and Treatment Planning: A Review
Anshul Sharma
Nanomedicine & Nanotechnology Open Access (2023) Vol. 8, Iss. 2, pp. 1-6
Open Access | Times Cited: 2

Toward Making Polymer Chemistry Autonomous
Sayan Basak, Abhijit Bandyopadhyay
ACS Applied Engineering Materials (2024) Vol. 2, Iss. 5, pp. 1190-1208
Closed Access

Privacy-by-Design with Federated Learning will drive future Rare Disease Research
Simon Süwer, Md Shihab Ullah, Niklas Probul, et al.
Journal of Neuromuscular Diseases (2024)
Closed Access

AI in Drug Discovery Pioneering the Search for New Antibiotics
Nitin Pandey, Mir Snober Shabnam, Shikhar Verma, et al.
Advances in medical technologies and clinical practice book series (2024), pp. 245-264
Closed Access

ARTIFICIAL INTELLIGENCE IN PHARMACY DRUG DESIGN
Nisha Kalayil, Shona S. D'Souza, Showkhiya Khan, et al.
Asian Journal of Pharmaceutical and Clinical Research (2022), pp. 21-27
Open Access | Times Cited: 2

Can We Quickly Learn to “Translate” Bioactive Molecules with Transformer Models?
Emma Tysinger, K. Brajesh, Anton V. Sinitskiy
(2022)
Open Access | Times Cited: 1

Recent Advances of Artificial Intelligence in Drug Discovery Process
Balaji Kannappan, Maria Navin J R, N Sridevi, et al.
(2022), pp. 245-249
Closed Access | Times Cited: 1

r‐BRICS – A Revised BRICS Module That Breaks Ring Structures and Carbon Chains
Leili Zhang, Vasumitra Rao, Wendy D. Cornell
ChemMedChem (2023) Vol. 19, Iss. 4
Closed Access

Drug design of human dihydrofolate reductase (hDHFR) inhibitors with deep learning
Yi‐Huan Wu, Chih‐Yang Cheng, Yen‐Yang Chen, et al.
Journal of the Chinese Chemical Society (2023) Vol. 70, Iss. 5, pp. 1258-1267
Closed Access

Fundamentals of Mathematical Modeling of Chemicals Through QSPR/QSAR
Andrey A. Toropov, Mária Rašková, Ivan Raška, et al.
Challenges and advances in computational chemistry and physics (2023), pp. 3-24
Closed Access

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