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:

Deep Learning Aided Neuroimaging and Brain Regulation
Mengze Xu, Yuanyuan Ouyang, Zhen Yuan
Sensors (2023) Vol. 23, Iss. 11, pp. 4993-4993
Open Access | Times Cited: 15

Showing 15 citing articles:

Artificial Intelligence and Neuroscience: Transformative Synergies in Brain Research and Clinical Applications
Răzvan Onciul, Cătălina-Ioana Tătaru, Adrian Dumitru, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 2, pp. 550-550
Open Access | Times Cited: 2

AI-Driven Innovations in Alzheimer's Disease: Integrating Early Diagnosis, Personalized Treatment, and Prognostic Modelling
Mayur B. Kale, Nitu L. Wankhede, Rupali S. Pawar, et al.
Ageing Research Reviews (2024), pp. 102497-102497
Closed Access | Times Cited: 11

Unveiling New Strategies Facilitating the Implementation of Artificial Intelligence in Neuroimaging for the Early Detection of Alzheimer’s Disease
Maudlyn O. Etekochay, Amoolya Rao Amaravadhi, Gabriel Villarrubia, et al.
Journal of Alzheimer s Disease (2024) Vol. 99, Iss. 1, pp. 1-20
Closed Access | Times Cited: 9

Enhancing Medical Diagnostics: Integrating AI for precise Brain Tumour Detection
Arohee Sinha, Tarun Kumar
Procedia Computer Science (2024) Vol. 235, pp. 456-467
Open Access | Times Cited: 5

The Role of Artificial Intelligence in Obesity Risk Prediction and Management: Approaches, Insights, and Recommendations
Lillian Huang, Ellen N. Huhulea, Elizabeth Abraham, et al.
Medicina (2025) Vol. 61, Iss. 2, pp. 358-358
Open Access

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

Editorial: Advancements of deep learning in medical imaging for neurodegenerative diseases
Loveleen Gaur, Patrick Siarry, Ajith Abraham, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 2

BrainLossNet: a fast, accurate and robust method to estimate brain volume loss from longitudinal MRI
Roland Opfer, Julia Krüger, Thomas Buddenkotte, et al.
International Journal of Computer Assisted Radiology and Surgery (2024) Vol. 19, Iss. 9, pp. 1763-1771
Open Access | Times Cited: 1

Integrating Advanced Deep Learning Features with SVM for Pathological Brain Detection: A Novel Hybrid Approach
Debendra Muduli, Santosh Kumar Sharma, Adyasha Rath, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 2

Classifying cognitive impairment based on FDG-PET and combined T1-MRI and rs-fMRI: An ADNI study
Iman Jahani, Ali Jahani, Mehdi Delrobaei, et al.
Journal of Alzheimer s Disease (2024)
Open Access

Lightweight deep learning model for automated STN localization using MER in Parkinson’s disease
Ahmed Maged, Minwei Zhu, Wenpeng Gao, et al.
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106640-106640
Closed Access

Innovative Approaches to Detecting Neurodevelopmental Disorders
Jiya Jagani, Robert Donati
Journal of Student Research (2023) Vol. 12, Iss. 4
Open Access

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