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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:

Diverse Applications of Artificial Intelligence in Neuroradiology
Michael Tran Duong, Andreas M. Rauschecker, Suyash Mohan
Neuroimaging Clinics of North America (2020) Vol. 30, Iss. 4, pp. 505-516
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Clinical applications of artificial intelligence and radiomics in neuro-oncology imaging
Ahmed Abdel Khalek Abdel Razek, Ahmed Alksas, Mohamed Shehata, et al.
Insights into Imaging (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 98
Applications of Artificial Intelligence in the Radiology Roundtrip: Process Streamlining, Workflow Optimization, and Beyond
Kevin Pierre, Adam G. Haneberg, Sean Kwak, et al.
Seminars in Roentgenology (2023) Vol. 58, Iss. 2, pp. 158-169
Open Access | Times Cited: 29
Optimizing MRI-based brain tumor classification and detection using AI: A comparative analysis of neural networks, transfer learning, data augmentation, and the cross-transformer network
Andrés Anaya-Isaza, Leonel Mera-Jiménez, Lucía Verdugo-Alejo, et al.
European Journal of Radiology Open (2023) Vol. 10, pp. 100484-100484
Open Access | Times Cited: 25
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
Application of Artificial Intelligence Methods for Imaging of Spinal Metastasis
Wilson Ong, Lei Zhu, Wenqiao Zhang, et al.
Cancers (2022) Vol. 14, Iss. 16, pp. 4025-4025
Open Access | Times Cited: 21
Artificial Intelligence Analysis Using MRI and PET Imaging in Gliomas: A Narrative Review
Pierpaolo Alongi, Annachiara Arnone, Viola Vultaggio, et al.
Cancers (2024) Vol. 16, Iss. 2, pp. 407-407
Open Access | Times Cited: 4
Applications of artificial intelligence in thoracic imaging: a review
Arjun Kalyanpur, Neetika Mathur
Academia Medicine (2025) Vol. 2, Iss. 1
Open Access
Harnessing artificial intelligence for theragnostic applications: Current landscape and future directions
Arundhati Pande, Abhishek Kumar, Ashish Anjankar
Multidisciplinary Reviews (2025) Vol. 8, Iss. 7, pp. 2025218-2025218
Closed Access
User-Centric Explainability in Healthcare: A Knowledge-Level Perspective of Informed Machine Learning
Luis Oberste, Armin Heinzl
IEEE Transactions on Artificial Intelligence (2022) Vol. 4, Iss. 4, pp. 840-857
Closed Access | Times Cited: 16
Potential roles of transformers in brain tumor diagnosis and treatment
Yu‐Long Lan, Shuang Zou, Bing Qin, et al.
Brain‐X (2023) Vol. 1, Iss. 2
Open Access | Times Cited: 10
Bridging Imaging and Clinical Scores in Parkinson’s Progression via Multimodal Self-Supervised Deep Learning
Francisco J. Martínez-Murcia, Juan E. Arco, C. Jiménez-Mesa, et al.
International Journal of Neural Systems (2024) Vol. 34, Iss. 08
Closed Access | Times Cited: 3
Neuroimaging Patterns of Intracranial Infections
Michael Tran Duong, Jeffrey D. Rudie, Suyash Mohan
Neuroimaging Clinics of North America (2022) Vol. 33, Iss. 1, pp. 11-41
Open Access | Times Cited: 13
Artificial Intelligence and Multiple Sclerosis: Up-to-Date Review
Yahya Naji, Mohamed Mahdaoui, Raymond Klevor, et al.
Cureus (2023)
Open Access | Times Cited: 7
Changes in MRI Workflow of Multiple Sclerosis after Introduction of an AI-Software: A Qualitative Study
Eiko Rathmann, Pia Hemkemeier, Susan Raths, et al.
Healthcare (2024) Vol. 12, Iss. 10, pp. 978-978
Open Access | Times Cited: 2
Medical Metaverse, Part 2: Artificial Intelligence Algorithms and Large Language Models in Psychiatry and Clinical Neurosciences
Wilfredo López-Ojeda, Robin A. Hurley
Journal of Neuropsychiatry (2023) Vol. 35, Iss. 4, pp. 316-320
Closed Access | Times Cited: 4
Artificial intelligence and neurosurgery: a revolution in the field
Ahtesham Khizar
Pakistan Journal of Neurological Sciences (2024) Vol. 18, Iss. 04
Open Access | Times Cited: 1
The new era of artificial intelligence in neuroradiology: current research and promising tools
Fabíola Bezerra de Carvalho Macruz, Ana Luiza Mandetta Pettengil Dias, Celi Santos Andrade, et al.
Arquivos de Neuro-Psiquiatria (2024) Vol. 82, Iss. 06, pp. 001-012
Open Access | Times Cited: 1
Explainable Artificial Intelligence (XAI) on Neurogenerative Diseases
Loveleen Gaur, Devanshi Gaur
Studies in computational intelligence (2024), pp. 63-72
Closed Access | Times Cited: 1
Evaluation of multiple deep neural networks for detection of intracranial dural arteriovenous fistula on susceptibility weighted angiography imaging
Jithin Sivan Sulaja, Santhosh Kumar Kannath, Viswanadh Kalaparti, et al.
The Neuroradiology Journal (2024)
Open Access | Times Cited: 1
Stroke and molecular imaging: a focus on FDG-PET.
Cyrus Ayubcha, Amir Amanullah, K Patel, et al.
PubMed (2023) Vol. 13, Iss. 2, pp. 51-63
Closed Access | Times Cited: 3
Revolutionizing pediatric neuroimaging: the era of CT, MRI, and beyond
Maura E. Ryan, Alok Jaju
Child s Nervous System (2023) Vol. 39, Iss. 10, pp. 2583-2592
Closed Access | Times Cited: 2
Current and future applications of artificial intelligence in multiple sclerosis
Laura Cacciaguerra, Loredana Storelli, Maria A. Rocca, et al.
Elsevier eBooks (2022), pp. 107-144
Closed Access | Times Cited: 4
The Applications of Artificial Intelligence in Radiology: Opportunities and Challenges
Mariana Yordanova
European Journal of Medical and Health Sciences (2024) Vol. 6, Iss. 2, pp. 11-14
Open Access
A Cross-Modality Latent Representation for the Prediction of Clinical Symptomatology in Parkinson’s Disease
C. Vázquez-García, Francisco J. Martínez-Murcia, Juan E. Arco, et al.
Lecture notes in computer science (2024), pp. 78-87
Closed Access
Ethical Considerations: Case Scenarios
Loveleen Gaur, Devanshi Gaur
Studies in computational intelligence (2024), pp. 171-181
Closed Access
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