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:

Neuroimaging in the Era of Artificial Intelligence: Current Applications
Robert Monsour
Federal practitioner (2022), Iss. 39 (Suppl 1)
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Convergence of Artificial Intelligence and Neuroscience towards the Diagnosis of Neurological Disorders—A Scoping Review
Chellammal Surianarayanan, John Jeyasekaran Lawrence, Pethuru Raj Chelliah, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 3062-3062
Open Access | Times Cited: 63

Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment
Sirvan Khalighi, Kartik Reddy, Abhishek Midya, et al.
npj Precision Oncology (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 62

Artificial Intelligence for Neuroimaging in Pediatric Cancer
Josué Luiz Dalboni da Rocha, Jesyin Lai, Pankaj Pandey, et al.
Cancers (2025) Vol. 17, Iss. 4, pp. 622-622
Open Access | Times Cited: 3

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 González, et al.
Journal of Alzheimer s Disease (2024) Vol. 99, Iss. 1, pp. 1-20
Closed Access | Times Cited: 11

Machine Learning and Artificial Intelligence Systems Based on the Optical Spectral Analysis in Neuro-Oncology
Tatiana A. Savelieva, I.D. Romanishkin, A. Ospanov, et al.
Photonics (2025) Vol. 12, Iss. 1, pp. 37-37
Open Access | Times Cited: 1

ChatGPT-4o's Performance in Brain Tumor Diagnosis and MRI Findings: A Comparative Analysis with Radiologists
Cemre Özenbaş, Duygu Engin, Tayfun Altınok, et al.
Academic Radiology (2025)
Closed Access | Times Cited: 1

What traditional neuropsychological assessment got wrong about mild traumatic brain injury. IV: clinical applications and future directions
Erin D. Bigler, Steven Allder, Benjamin T. Dunkley, et al.
Brain Injury (2025), pp. 1-17
Closed Access | Times Cited: 1

Emerging perspectives of synaptic biomarkers in ALS and FTD
Karrthik Krishnamurthy, Raj Kumar Pradhan
Frontiers in Molecular Neuroscience (2024) Vol. 16
Open Access | Times Cited: 7

Evaluations of artificial intelligence and machine learning algorithms in neurodiagnostics
K. Williams
Journal of Neurophysiology (2024) Vol. 131, Iss. 5, pp. 825-831
Closed Access | Times Cited: 6

Neuroimage analysis using artificial intelligence approaches: a systematic review
Eric Jacob Bacon, Dianning He, N'bognon Angèle D'avilla Achi, et al.
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 9, pp. 2599-2627
Closed Access | Times Cited: 5

Updated Perspectives on the Neurobiology of Substance Use Disorders Using Neuroimaging
Kevin S. Murnane, Amber N. Edinoff, Elyse M. Cornett, et al.
Substance Abuse and Rehabilitation (2023) Vol. Volume 14, pp. 99-111
Open Access | Times Cited: 13

Neuroimaging Modalities Used for Ischemic Stroke Diagnosis and Monitoring
Jasmin J. Nukovic, Valentina Opančina, Elisa Ciceri, et al.
Medicina (2023) Vol. 59, Iss. 11, pp. 1908-1908
Open Access | Times Cited: 13

Advances of Artificial Intelligence in Neuroimaging
Iman Beheshti, Daichi Sone, Carson K. Leung
Brain Sciences (2025) Vol. 15, Iss. 4, pp. 351-351
Open Access

The neuroplastic brain: current breakthroughs and emerging frontiers
Parisa Gazerani
Brain Research (2025), pp. 149643-149643
Open Access

Speeding Up and Improving Image Quality in Glioblastoma MRI Protocol by Deep Learning Image Reconstruction
Georg Gohla, Till‐Karsten Hauser, Paula Bombach, et al.
Cancers (2024) Vol. 16, Iss. 10, pp. 1827-1827
Open Access | Times Cited: 2

Artificial Intelligence in Neurology: Current Applications and Future Prospects
Taoufik Boubga, Amine Bentaher, Abdellah Taous, et al.
International Journal of Innovative Science and Research Technology (IJISRT) (2024), pp. 104-110
Open Access | Times Cited: 2

Brainchop: Providing an Edge Ecosystem for Deployment of Neuroimaging Artificial Intelligence Models
Sergey M. Plis, Mohamed Masoud, Farfalla Hu, et al.
Aperture Neuro (2024) Vol. 4
Closed Access | Times Cited: 2

Leveraging State-of-the-Art AI Algorithms in Personalized Oncology: From Transcriptomics to Treatment
Anwar Shams
Diagnostics (2024) Vol. 14, Iss. 19, pp. 2174-2174
Open Access | Times Cited: 2

Bridging the gap between artificial intelligence and mental health
Tangsheng Lu, Xiaoxing Liu, Jie Sun, et al.
Science Bulletin (2023) Vol. 68, Iss. 15, pp. 1606-1610
Closed Access | Times Cited: 6

The Role of Neuroprediction and Artificial Intelligence in the Future of Criminal Procedure Support Science: A New Era in Neuroscience and Criminal Justice
Zico Junius Fernando, Rosmanila Rosmanila, Laily Ratna, et al.
Yuridika (2023) Vol. 38, Iss. 3, pp. 593-620
Open Access | Times Cited: 6

A Practical Approach to Incorporating Quantitative Neuroimaging Findings into Pediatric Neuropsychological Test Interpretation
Paul B. Jantz, Erin D. Bigler
Journal of Pediatric Neuropsychology (2024) Vol. 10, Iss. 2, pp. 120-140
Closed Access | Times Cited: 1

Current Trends and Future Prospects of Artificial Intelligence in Transforming Radiology
Rezwan Ahmed Mahedi, Hrishik Iqbal, Raiyan Azmee, et al.
Journal of Current Health Sciences (2024) Vol. 4, Iss. 2, pp. 95-104
Closed Access | Times Cited: 1

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