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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:

Machine Learning Empowering Drug Discovery: Applications, Opportunities and Challenges
Xin Qi, Yuanchun Zhao, Zhuang Qi, et al.
Molecules (2024) Vol. 29, Iss. 4, pp. 903-903
Open Access | Times Cited: 23

Showing 23 citing articles:

A bibliometric analysis of the advance of artificial intelligence in medicine
M. S. Lin, Lingzhi Lin, Lingling Lin, et al.
Frontiers in Medicine (2025) Vol. 12
Open Access | Times Cited: 2
Machine learning for the advancement of membrane science and technology: A critical review
Gergő Ignácz, Lana Bader, Aron K. Beke, et al.
Journal of Membrane Science (2024) Vol. 713, pp. 123256-123256
Open Access | Times Cited: 12
Development and experimental validation of a machine learning model for the prediction of new antimalarials
Mukul Kore, Debiprasad Acharya, Lakshya Sharma, et al.
BMC Chemistry (2025) Vol. 19, Iss. 1
Open Access | Times Cited: 1
Engineering Useful Microbial Species for Pharmaceutical Applications
А.К. САДАНОВ, B.B. BAIMAKHANOVA, Saltanat Emilievna Orasymbet, et al.
Microorganisms (2025) Vol. 13, Iss. 3, pp. 599-599
Open Access | Times Cited: 1
The changing scenario of drug discovery using AI to deep learning: Recent advancement, success stories, collaborations, and challenges
Chiranjib Chakraborty, Manojit Bhattacharya, Sang‐Soo Lee, et al.
Molecular Therapy — Nucleic Acids (2024) Vol. 35, Iss. 3, pp. 102295-102295
Open Access | Times Cited: 8
Artificial Intelligence (AI) and Machine Learning (ML) Implemented Drug Delivery Systems: A paradigm shift in the Pharmaceutical industry
Goutam Kumar Jena, Chinam Niranjan Patra, Sruti Jammula, et al.
Journal of Bio-X Research (2024) Vol. 7
Open Access | Times Cited: 4
Machine Learning for Predicting and Optimizing Physicochemical Properties of Deep Eutectic Solvents: Review and Perspectives
Francisco Javier López-Flores, César Ramírez‐Márquez, J. Betzabe González‐Campos, et al.
Industrial & Engineering Chemistry Research (2024)
Closed Access | Times Cited: 4
Artificial Intelligence, Computational Tools and Robotics for Drug Discovery, Development, and Delivery
Ayodele James Oyejide, Yemi A. Adekunle, Oluwatosin David Abodunrin, et al.
Intelligent Pharmacy (2025)
Open Access
DO-GMA: An End-to-End Drug–Target Interaction Identification Framework with a Depthwise Overparameterized Convolutional Network and the Gated Multihead Attention Mechanism
Lihong Peng, Jiangyang Mao, Guohua Huang, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
Deep learning: A game changer in drug design and development
Sushanta Kumar Das, Rahul Mishra, Amit Samanta, et al.
Advances in pharmacology (2025)
Closed Access
GNNSeq: A Sequence-Based Graph Neural Network for Predicting Protein–Ligand Binding Affinity
Somanath Dandibhotla, Madhav Samudrala, Arjun Kaneriya, et al.
Pharmaceuticals (2025) Vol. 18, Iss. 3, pp. 329-329
Open Access
Artificial intelligence guided Raman spectroscopy in biomedicine: Applications and prospects
Yuan Liu, Sitong Chen, Xiaomin Xiong, et al.
Journal of Pharmaceutical Analysis (2025), pp. 101271-101271
Open Access
Developing predictive models for µ opioid receptor binding using machine learning and deep learning techniques
Jie Liu, Vassilia Michailidis, Zoe Li, et al.
Experimental Biology and Medicine (2025) Vol. 250
Open Access
Development of a Predictive Model for the Biological Activity of Food and Microbial Metabolites Toward Estrogen Receptor Alpha (ERα) Using Machine Learning
Maksim Kuznetsov, Olga Chernyavskaya, Mikhail Kutuzov, et al.
Big Data and Cognitive Computing (2025) Vol. 9, Iss. 4, pp. 86-86
Open Access
Integrating ensemble machine learning and multi-omics approaches to identify Dp44mT as a novel anti-Candida albicans agent targeting cellular iron homeostasis
Xiaowei Chai, Yuanying Jiang, Hui Lü, et al.
Frontiers in Pharmacology (2025) Vol. 16
Open Access
From bench to bedside: targeting ferroptosis and mitochondrial damage in the treatment of diabetic cardiomyopathy
Bin Liu, Qing Jin, Yi Sun, et al.
Frontiers in Endocrinology (2025) Vol. 16
Open Access
Computational Characterization of Membrane Proteins as Anticancer Targets: Current Challenges and Opportunities
Marina Gorostiola González, P. Rakers, Willem Jespers, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 7, pp. 3698-3698
Open Access | Times Cited: 2
Free energy calculations in biomolecule-nanomaterial interactions
Hongze Fu, Yinbang Zhu, Qu Chen
Frontiers in Physics (2024) Vol. 12
Open Access | Times Cited: 2
Theoretical investigations, Molecular Docking, ADMET analysis, Molecular Dynamic Simulation, and Drug-Likeness Scoring of (E)-1-[2-(3,4-Dimethylphenyl) Diazen-2-Ium-1-Yl] Naphthalen-2-Olate as a Corticosteroid Side-Chain-Isomerase Inhibitor
Youcef Megrouss, Souheyla Chetioui, Chafika Farah Kaouche, et al.
Turkish computational and theoretical chemistry/Turkish computational and theoretical chemistry : (2024) Vol. 9, Iss. 3, pp. 57-78
Open Access | Times Cited: 2
GPT like transformer based conditional molecule generator and a high drug-likeness (QED) dataset generation
Wen Xing, Juan Yang
(2024)
Open Access
Prediction of food materials for the management of respiratory symptoms targeting PDE4B and NMDAR via machine learning approach
Jincheol Jung, Seo Hyun Shin, Jong Hun Kim, et al.
Food Bioscience (2024) Vol. 61, pp. 104608-104608
Open Access
Investigation of the FrH+ Alkali Hydride Cation: Analysis of Potential Energies, Dipole Functions, and Radiative Lifetimes
C. Ghanmi, Hamid Berriche
Turkish computational and theoretical chemistry/Turkish computational and theoretical chemistry : (2024) Vol. 9, Iss. 3, pp. 79-88
Open 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
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