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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:

Artificial intelligence and machine-learning approaches in structure and ligand-based discovery of drugs affecting central nervous system
Vertika Gautam, Anand Gaurav, Neeraj Masand, et al.
Molecular Diversity (2022) Vol. 27, Iss. 2, pp. 959-985
Closed Access | Times Cited: 23

Showing 23 citing articles:

Harnessing the Power of Artificial Intelligence in Pharmaceuticals: Current Trends and Future Prospects
Saha Aritra, Indu Singh
Intelligent Pharmacy (2025)
Open Access | Times Cited: 2
Alleviating anxiety and taming trauma: Novel pharmacotherapeutics for anxiety disorders and posttraumatic stress disorder
Nicolas Singewald, Simone B. Sartori, Andreas Reif, et al.
Neuropharmacology (2023) Vol. 226, pp. 109418-109418
Open Access | Times Cited: 38
Psychedelics for alzheimer's disease-related dementia: Unveiling therapeutic possibilities and pathways
Jitendra Kumar Sinha, Anchal Trisal, Shampa Ghosh, et al.
Ageing Research Reviews (2024) Vol. 96, pp. 102211-102211
Closed Access | Times Cited: 13
Exploring Recent Updates on Molecular Docking: Types, Method, Application, Limitation & Future Prospects
Mahendra Kumar Sahu, Amit Kumar Nayak, Bisrat Hailemeskel, et al.
International Journal Of Pharmaceutical Research And Allied Sciences (2024) Vol. 13, Iss. 2, pp. 24-40
Closed Access | Times Cited: 10
In silico drug design strategies for discovering novel tuberculosis therapeutics
Christian S. Carnero Canales, Aline Renata Pavan, Jean Leandro dos Santos, et al.
Expert Opinion on Drug Discovery (2024) Vol. 19, Iss. 4, pp. 471-491
Closed Access | Times Cited: 9
AI-Driven Decision-Making Applications in Pharmaceutical Sciences
Bancha Yingngam, Abhiruj Navabhatra, Polpan Sillapapibool
Advances in media, entertainment and the arts (AMEA) book series (2024), pp. 1-63
Closed Access | Times Cited: 6
Artificial intelligence and allied subsets in early detection and preclusion of gynecological cancers
Pankaj Garg, Atish Mohanty, Sravani Ramisetty, et al.
Biochimica et Biophysica Acta (BBA) - Reviews on Cancer (2023) Vol. 1878, Iss. 6, pp. 189026-189026
Open Access | Times Cited: 12
Machine learning in Alzheimer’s disease drug discovery and target identification
Chaofan Geng, Zhibin Wang, Yi Tang
Ageing Research Reviews (2023) Vol. 93, pp. 102172-102172
Closed Access | Times Cited: 11
Identification of Immune-Related Biomarkers of Schizophrenia in the Central Nervous System Using Bioinformatic Methods and Machine Learning Algorithms
Jianjun Weng, Xiaoli Zhu, Yu Ouyang, et al.
Molecular Neurobiology (2024)
Closed Access | Times Cited: 4
A comprehensive review of neurotransmitter modulation via artificial intelligence: A new frontier in personalized neurobiochemistry
Jaleh Bagheri Hamzyan Olia, Arasu Raman, Chou‐Yi Hsu, et al.
Computers in Biology and Medicine (2025) Vol. 189, pp. 109984-109984
Closed Access
Unleashing the Future: The Revolutionary Role of Machine Learning and Artificial Intelligence in Drug Discovery
Manoj Kumar Yadav, Vandana Dahiya, Manish Tripathi, et al.
European Journal of Pharmacology (2024) Vol. 985, pp. 177103-177103
Closed Access | Times Cited: 3
Multinomial classification of NLRP3 inhibitory compounds based on large scale machine learning approaches
Muhammad Ishfaq, Syed Zahid Ali Shah, Ijaz Ahmad, et al.
Molecular Diversity (2023) Vol. 28, Iss. 4, pp. 1849-1868
Closed Access | Times Cited: 8
Multiplatform-Integrated Identification of Melatonin Targets for a Triad of Psychosocial-Sleep/Circadian-Cardiometabolic Disorders
Luciana Aparecida Campos, Ovidiu Constantin Baltatu, Sergio Senar, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 1, pp. 860-860
Open Access | Times Cited: 5
AI molecular property prediction for Parkinson's Disease reveals potential repurposing drug candidates based on the increase of the expression of PINK1
Jacek Haneczok, Marcin Delijewski, Rudolf Moldzio
Computer Methods and Programs in Biomedicine (2023) Vol. 241, pp. 107731-107731
Closed Access | Times Cited: 4
7-Benzyl-1,5-dimethyl-3-piperonyloyl-3,7-diazabicyclo[3.3.1]nonan-9-one as an allosteric modulator of glutamatergic system
J. L. Matthews, Polina N. Veremeeva, Elena A. Golubeva, et al.
Mendeleev Communications (2024) Vol. 34, Iss. 3, pp. 354-356
Closed Access | Times Cited: 1
Feasibility and application of machine learning enabled fast screening of poly-beta-amino-esters for cartilage therapies
Stefano Perni, Polina Prokopovich
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 5
Molecular Docking in Drug Designing and Metabolism
Shyamalima Saikia, Minakshi Puzari, Pankaj Chetia
(2023), pp. 403-430
Closed Access | Times Cited: 2
Recent Progresses in Neural Networks for Alzheimer's Disease Detection
Mengyao Zhao
(2023)
Open Access | Times Cited: 1
Machine learning-enforced bioinformatics approaches for drug discovery and development
Dilip Kumar Chandra, Awanish Kumar, Chinmaya Mahapatra
Elsevier eBooks (2024), pp. 141-175
Closed Access
Pharmacophore-based virtual screening of commercial databases against β-secretase 1 for drug development against Alzheimer’s disease
Xu Han, Kaibo Guo
Frontiers in Chemistry (2024) Vol. 12
Open Access
Medical Statistics in Drug Development and Regulatory Approval
Bancha Yingngam
Advances in bioinformatics and biomedical engineering book series (2024), pp. 57-110
Closed Access
Discovering Innovative Applications for Real-Time Data Analysis with Machine Learning
Prranjali Jadhav, Raja Praveen K N, Prateek Aggarwal, et al.
(2023), pp. 1-6
Closed Access
Advancing Nuclei Detection in Drug Discovery: A Hybrid CNN+LSTM Approach with Curved Gaussian Distribution
Mohamed Hasan Phudinawala, Swati Rajiv Bhatt, Noorusabah Sayed, et al.
(2023), pp. 1-6
Closed Access
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