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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:

Using deep learning to investigate the neuroimaging correlates of psychiatric and neurological disorders: Methods and applications
Sandra Vieira, Walter Hugo Lopez Pinaya, Andrea Mechelli
Neuroscience & Biobehavioral Reviews (2017) Vol. 74, pp. 58-75
Open Access | Times Cited: 559

Showing 1-25 of 559 citing articles:

An overview of deep learning in medical imaging focusing on MRI
Alexander Selvikvåg Lundervold, Arvid Lundervold
Zeitschrift für Medizinische Physik (2018) Vol. 29, Iss. 2, pp. 102-127
Open Access | Times Cited: 978
Automated classification of Alzheimer's disease and mild cognitive impairment using a single MRI and deep neural networks
Silvia Basaia, Federica Agosta, Luca Wagner, et al.
NeuroImage Clinical (2018) Vol. 21, pp. 101645-101645
Open Access | Times Cited: 568
Deep Learning with Convolutional Neural Network for Differentiation of Liver Masses at Dynamic Contrast-enhanced CT: A Preliminary Study
Koichiro Yasaka, Hiroyuki Akai, Osamu Abe, et al.
Radiology (2017) Vol. 286, Iss. 3, pp. 887-896
Closed Access | Times Cited: 565
Random Forest Algorithm for the Classification of Neuroimaging Data in Alzheimer's Disease: A Systematic Review
Alessia Sarica, Antonio Cerasa, Aldo Quattrone
Frontiers in Aging Neuroscience (2017) Vol. 9
Open Access | Times Cited: 512
Classification and Prediction of Brain Disorders Using Functional Connectivity: Promising but Challenging
Yuhui Du, Zening Fu, Vince D. Calhoun
Frontiers in Neuroscience (2018) Vol. 12
Open Access | Times Cited: 302
MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14 468 individuals worldwide
Vishnu Bashyam, Güray Erus, Jimit Doshi, et al.
Brain (2020) Vol. 143, Iss. 7, pp. 2312-2324
Open Access | Times Cited: 280
Classification and Visualization of Alzheimer’s Disease using Volumetric Convolutional Neural Network and Transfer Learning
Kanghan Oh, Young‐Chul Chung, Ko Woon Kim, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 268
Deep learning in mental health outcome research: a scoping review
Chang Su, Zhenxing Xu, Jyotishman Pathak, et al.
Translational Psychiatry (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 258
Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics
Tong He, Ru Kong, Avram J. Holmes, et al.
NeuroImage (2019) Vol. 206, pp. 116276-116276
Open Access | Times Cited: 252
A deep CNN based multi-class classification of Alzheimer's disease using MRI
Ammarah Farooq, Syed Muhammad Anwar, Muhammad Awais, et al.
(2017), pp. 1-6
Closed Access | Times Cited: 250
A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issues
Shahab S. Band, Mahdis Fathi, Abdollah Dehzangi, et al.
Journal of Biomedical Informatics (2020) Vol. 113, pp. 103627-103627
Closed Access | Times Cited: 240
Multi-Site Diagnostic Classification of Schizophrenia Using Discriminant Deep Learning with Functional Connectivity MRI
Ling‐Li Zeng, Huaning Wang, Panpan Hu, et al.
EBioMedicine (2018) Vol. 30, pp. 74-85
Open Access | Times Cited: 237
Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets
Marc‐Andre Schulz, B.T. Thomas Yeo, Joshua T Vogelstein, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 234
Deep neural networks in psychiatry
Daniel Durstewitz, Georgia Koppe, Andreas Meyer‐Lindenberg
Molecular Psychiatry (2019) Vol. 24, Iss. 11, pp. 1583-1598
Open Access | Times Cited: 230
Artificial Intelligence for Mental Health Care: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom
Ellen Lee, John Torous, Munmun De Choudhury, et al.
Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2021) Vol. 6, Iss. 9, pp. 856-864
Open Access | Times Cited: 230
A survey on deep learning-based non-invasive brain signals: recent advances and new frontiers
Xiang Zhang, Lina Yao, Xianzhi Wang, et al.
Journal of Neural Engineering (2020) Vol. 18, Iss. 3, pp. 031002-031002
Open Access | Times Cited: 226
Layer-Wise Relevance Propagation for Explaining Deep Neural Network Decisions in MRI-Based Alzheimer's Disease Classification
Moritz Böhle, Fabian Eitel, Martin Weygandt, et al.
Frontiers in Aging Neuroscience (2019) Vol. 11
Open Access | Times Cited: 225
Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders
Francisco J. Martínez-Murcia, Andrés Ortíz, J. M. Górriz, et al.
IEEE Journal of Biomedical and Health Informatics (2019) Vol. 24, Iss. 1, pp. 17-26
Open Access | Times Cited: 199
Extraction of Urban Water Bodies from High-Resolution Remote-Sensing Imagery Using Deep Learning
Yang Chen, Rongshuang Fan, Xiucheng Yang, et al.
Water (2018) Vol. 10, Iss. 5, pp. 585-585
Open Access | Times Cited: 196
A Survey on Deep Learning for Neuroimaging-Based Brain Disorder Analysis
Li Zhang, Mingliang Wang, Mingxia Liu, et al.
Frontiers in Neuroscience (2020) Vol. 14
Open Access | Times Cited: 168
Deep learning for small and big data in psychiatry
Georgia Koppe, Andreas Meyer‐Lindenberg, Daniel Durstewitz
Neuropsychopharmacology (2020) Vol. 46, Iss. 1, pp. 176-190
Open Access | Times Cited: 159
Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning
Anees Abrol, Zening Fu, Mustafa S. Salman, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 159
A review on emerging artificial intelligence (AI) techniques for air pollution forecasting: Fundamentals, application and performance
Adil Masood, Kafeel Ahmad
Journal of Cleaner Production (2021) Vol. 322, pp. 129072-129072
Closed Access | Times Cited: 155
The Role of AI in Hospitals and Clinics: Transforming Healthcare in the 21st Century
Shiva Maleki Varnosfaderani, Mohamad Forouzanfar
Bioengineering (2024) Vol. 11, Iss. 4, pp. 337-337
Open Access | Times Cited: 153
Machine Learning in Psychometrics and Psychological Research
Graziella Orrù, Merylin Monaro, Ciro Conversano, et al.
Frontiers in Psychology (2020) Vol. 10
Open Access | Times Cited: 151
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