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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:

Application of Artificial Intelligence in the MRI Classification Task of Human Brain Neurological and Psychiatric Diseases: A Scoping Review
Zhao Zhang, Guangfei Li, Yong Xu, et al.
Diagnostics (2021) Vol. 11, Iss. 8, pp. 1402-1402
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Reimagining Healthcare: Unleashing the Power of Artificial Intelligence in Medicine
Javed Iqbal, Diana Jaimes, Pallavi Makineni, et al.
Cureus (2023)
Open Access | Times Cited: 48
Artificial Intelligence in Andrology: From Semen Analysis to Image Diagnostics
Ramy Abou Ghayda, Rossella Cannarella, Aldo E. Calogero, et al.
The World Journal of Men s Health (2023) Vol. 42, Iss. 1, pp. 39-39
Open Access | Times Cited: 31
Between neurons and networks: investigating mesoscale brain connectivity in neurological and psychiatric disorders
Ana Clara Caznok Silveira, André Saraiva Leão Marcelo Antunes, Maria Carolina Pedro Athié, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 11
Machine learning for autism spectrum disorder diagnosis using structural magnetic resonance imaging: Promising but challenging
Reem Ahmed Bahathiq, Haneen Banjar, Ahmed K. Bamaga, et al.
Frontiers in Neuroinformatics (2022) Vol. 16
Open Access | Times Cited: 37
Diagnosis of Parkinson’s disease based on 3D ResNet: The frontal lobe is crucial
Mingjing Yang, Xianbin Huang, Liqin Huang, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104904-104904
Closed Access | Times Cited: 20
A critical review on the state-of-the-art and future prospects of machine learning for Earth observation operations
Pablo Miralles, Kathiravan Thangavel, Antonio Fulvio Scannapieco, et al.
Advances in Space Research (2023) Vol. 71, Iss. 12, pp. 4959-4986
Open Access | Times Cited: 17
Neural Computation-Based Methods for the Early Diagnosis and Prognosis of Alzheimer’s Disease Not Using Neuroimaging Biomarkers: A Systematic Review
Ylermi Cabrera-León, Patricio García Báez, Pablo Fernández-López, et al.
Journal of Alzheimer s Disease (2024) Vol. 98, Iss. 3, pp. 793-823
Open Access | Times Cited: 6
An Umbrella Review of the Fusion of fMRI and AI in Autism
Daniele Giansanti
Diagnostics (2023) Vol. 13, Iss. 23, pp. 3552-3552
Open Access | Times Cited: 15
The Heart of Transformation: Exploring Artificial Intelligence in Cardiovascular Disease
Mohammed Andaleeb Chowdhury, Rodrigue Rizk, J. Christine Chiu, et al.
Biomedicines (2025) Vol. 13, Iss. 2, pp. 427-427
Open Access
Recent Advances in Biomedical Imaging for Cancer Diagnosis and Therapy
James C. L. Chow
Biological and medical physics series (2025), pp. 147-180
Closed Access
The evolution of Electrovestibulography technique and safety considerations
Zeinab Dastgheib, Chathura Kumaragamage, Brian Lithgow, et al.
Biomedical Engineering Advances (2025), pp. 100157-100157
Open Access
Lights and Shadows on Artificial Intelligence in Glaucoma: Transforming Screening, Monitoring, and Prognosis
Alessio Martucci, Gabriele Gallo Afflitto, Giulio Pocobelli, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 7, pp. 2139-2139
Open Access
AI’s Potential: Embracing AI in the Future of Healthcare
Vijay Prakash, Kirtan Dua, Carl J. Debono, et al.
Studies in computational intelligence (2025), pp. 301-327
Closed Access
Integrated multimodal analysis for high-accuracy anxiety disease subtype classification
Ying Chen, Yibin Tang, Qing-ren Ni, et al.
Psychiatry Research Neuroimaging (2025), pp. 111991-111991
Closed Access
MRI assessment of cerebral perfusion in clinical trials
Xue Wang, Courtney Bishop, James M. O’Callaghan, et al.
Drug Discovery Today (2023) Vol. 28, Iss. 4, pp. 103506-103506
Open Access | Times Cited: 10
Classifying Children with ADHD Based on Prefrontal Functional Near-infrared Spectroscopy Using Machine Learning
Chan-Mo Yang, Jaeyoung Shin, Johanna Inhyang Kim, et al.
Clinical Psychopharmacology and Neuroscience (2023) Vol. 21, Iss. 4, pp. 693-700
Open Access | Times Cited: 10
Innovative Neuroimaging Biomarker Distinction of Major Depressive Disorder and Bipolar Disorder through Structural Connectome Analysis and Machine Learning Models
Yang Huang, Jingbo Zhang, Kewei He, et al.
Diagnostics (2024) Vol. 14, Iss. 4, pp. 389-389
Open Access | Times Cited: 3
A Computerized Analysis with Machine Learning Techniques for the Diagnosis of Parkinson’s Disease: Past Studies and Future Perspectives
Arti Rana, Ankur Dumka, Rajesh Singh, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2708-2708
Open Access | Times Cited: 15
Sex classification from functional brain connectivity: Generalization to multiple datasets
Lisa Wiersch, Patrick Friedrich, Sami Hamdan, et al.
Human Brain Mapping (2024) Vol. 45, Iss. 6
Open Access | Times Cited: 2
Applications of Deep Learning to Neurodevelopment in Pediatric Imaging: Achievements and Challenges
Mengjiao Hu, Cosimo Nardi, Haihong Zhang, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2302-2302
Open Access | Times Cited: 5
ADHD classification combining biomarker detection with attention auto-encoding neural network
Ying Chen, Yuan Gao, Aimin Jiang, et al.
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104733-104733
Closed Access | Times Cited: 5
SPECT Functional Neuroimaging Distinguishes Adult Attention Deficit Hyperactivity Disorder From Healthy Controls in Big Data Imaging Cohorts
Daniel Amen, Theodore A. Henderson, Andrew B. Newberg
Frontiers in Psychiatry (2021) Vol. 12
Open Access | Times Cited: 12
Biomarkers of diagnosis, prognosis, pathogenesis, response to therapy: Convergence or divergence? Lessons from Alzheimer's disease and synucleinopathies
Stefano L. Sensi, Mirella Russo, Pietro Tiraboschi
Handbook of clinical neurology (2023), pp. 187-218
Closed Access | Times Cited: 4
Unveiling critical ADHD biomarkers in limbic system and cerebellum using a binary hypothesis testing approach
Ying Chen, Lele Wang, Zhixin Li, et al.
Mathematical Biosciences & Engineering (2024) Vol. 21, Iss. 4, pp. 5803-5825
Open Access | Times Cited: 1
Aggregated Pattern Classification Method for improving neural disorder stage detection
Mohd Anjum, Sana Shahab, Shabir Ahmad, et al.
Brain and Behavior (2024) Vol. 14, Iss. 8
Open Access | Times Cited: 1
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