Open Access Helper

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 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: 10

Showing 10 citing articles:

Recent advances in Alzheimer’s disease: Mechanisms, clinical trials and new drug development strategies
Jifa Zhang, Yinglu Zhang, Jiaxing Wang, et al.
Signal Transduction and Targeted Therapy (2024) Vol. 9, Iss. 1
Open Access | Times Cited: 114
Current perspectives and trend of computer-aided drug design: a review and bibliometric analysis
Zhenhui Wu, Shupeng Chen, Yihao Wang, et al.
International Journal of Surgery (2024)
Open Access | Times Cited: 20
dyphAI dynamic pharmacophore modeling with AI: a tool for efficient screening of new acetylcholinesterase inhibitors
Yasser Hayek-Orduz, Dorian Armando Acevedo-Castro, John Willmer Escobar, et al.
Frontiers in Chemistry (2025) Vol. 13
Open Access
Topological influence of immediate-early genes in brain genetic networks and their link to Alzheimer's disease
Margarita Zachariou, Eleni M. Loizidou, George M. Spyrou
Computers in Biology and Medicine (2025) Vol. 190, pp. 110043-110043
Open Access
Advanced AI Applications for Drug Discovery
Bancha Yingngam, Benjabhorn Sethabouppha
Advances in medical technologies and clinical practice book series (2024), pp. 42-86
Closed Access | Times Cited: 4
Plasma proteomics for risk prediction of Alzheimer's disease in the general population
Sisi Yang, Ziliang Ye, Panpan He, et al.
Aging Cell (2024)
Open Access | Times Cited: 2
Detailing the biomedical aspects of geroscience by molecular data and large-scale “deep” bioinformatics analyses
Andreas Simm, Anne Großkopf, Georg Fuellen
Zeitschrift für Gerontologie und Geriatrie (2024) Vol. 57, Iss. 5, pp. 355-360
Closed Access
The integration of machine learning into traditional Chinese medicine
Yanfeng Hong, Sisi Zhu, Yuhong Liu, et al.
Journal of Pharmaceutical Analysis (2024), pp. 101157-101157
Open Access
Innovating Drug Design for Alzheimer’s Disease via Reinforcement Learning for Enhanced Molecular Generation
Nishank Satish, Manikanta Bukapindi, K Shreyas, et al.
Lecture notes in networks and systems (2024), pp. 255-269
Closed Access
Integrated multi-omics analysis revealed the molecular networks and potential targets of cellular senescence in Alzheimer’s disease
Yudi Xu, Shutong Liu, Zhaokai Zhou, et al.
Human Molecular Genetics (2024)
Closed Access
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