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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:

Classification Accuracy of Neuroimaging Biomarkers in Attention-Deficit/Hyperactivity Disorder: Effects of Sample Size and Circular Analysis
Alfredo A. Pulini, Wesley T. Kerr, Sandra K. Loo, et al.
Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2018) Vol. 4, Iss. 2, pp. 108-120
Open Access | Times Cited: 79

Showing 1-25 of 79 citing articles:

Machine learning for medical imaging: methodological failures and recommendations for the future
Gaël Varoquaux, Veronika Cheplygina
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 370
ADHD: Current Concepts and Treatments in Children and Adolescents
Renate Drechsler, Silvia Brem, Daniel Brandeis, et al.
Neuropediatrics (2020) Vol. 51, Iss. 05, pp. 315-335
Open Access | Times Cited: 239
Navigating the pitfalls of applying machine learning in genomics
Sean Whalen, Jacob Schreiber, William Stafford Noble, et al.
Nature Reviews Genetics (2021) Vol. 23, Iss. 3, pp. 169-181
Closed Access | Times Cited: 184
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
Candidate diagnostic biomarkers for neurodevelopmental disorders in children and adolescents: a systematic review
Samuele Cortese, Marco Solmi, Giorgia Michelini, et al.
World Psychiatry (2023) Vol. 22, Iss. 1, pp. 129-149
Open Access | Times Cited: 83
Annual Research Review: Translational machine learning for child and adolescent psychiatry
Dominic Dwyer, Nikolaos Koutsouleris
Journal of Child Psychology and Psychiatry (2022) Vol. 63, Iss. 4, pp. 421-443
Open Access | Times Cited: 40
Population heterogeneity in clinical cohorts affects the predictive accuracy of brain imaging
Oualid Benkarim, Casey Paquola, Bo‐yong Park, et al.
PLoS Biology (2022) Vol. 20, Iss. 4, pp. e3001627-e3001627
Open Access | Times Cited: 40
Spatial–Temporal Co-Attention Learning for Diagnosis of Mental Disorders From Resting-State fMRI Data
Rui Liu, Zhi-An Huang, Yao Hu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 8, pp. 10591-10605
Closed Access | Times Cited: 34
Automatic Identification of Children with ADHD from EEG Brain Waves
Anika Alim, Masudul H. Imtiaz
Signals (2023) Vol. 4, Iss. 1, pp. 193-205
Open Access | Times Cited: 31
Machine Learning Empowering Personalized Medicine: A Comprehensive Review of Medical Image Analysis Methods
Irena Galić, Marija Habijan, Hrvoje Leventić, et al.
Electronics (2023) Vol. 12, Iss. 21, pp. 4411-4411
Open Access | Times Cited: 31
Reply to: Multivariate BWAS can be replicable with moderate sample sizes
Brenden Tervo‐Clemmens, Scott Marek, Roselyne J. Chauvin, et al.
Nature (2023) Vol. 615, Iss. 7951, pp. E8-E12
Open Access | Times Cited: 30
Machine learning in attention-deficit/hyperactivity disorder: new approaches toward understanding the neural mechanisms
Meng Cao, Elizabeth Martin, Xiaobo Li
Translational Psychiatry (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 28
Artificial intelligence and machine learning in cell-free-DNA-based diagnostics
WY Tsui, Spencer C. Ding, Peiyong Jiang, et al.
Genome Research (2025) Vol. 35, Iss. 1, pp. 1-19
Closed Access | Times Cited: 1
Neuroimaging in attention-deficit/hyperactivity disorder
Víctor Pereira-Sánchez, F. Xavier Castellanos
Current Opinion in Psychiatry (2020) Vol. 34, Iss. 2, pp. 105-111
Open Access | Times Cited: 64
EEG spectral power, but not theta/beta ratio, is a neuromarker for adult ADHD
Hanni Kiiski, Marc Bennett, Laura M. Rueda‐Delgado, et al.
European Journal of Neuroscience (2019) Vol. 51, Iss. 10, pp. 2095-2109
Open Access | Times Cited: 61
Machine learning classification of ADHD and HC by multimodal serotonergic data
Alexander Kautzky, Thomas Vanicek, C. Philippe, et al.
Translational Psychiatry (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 57
Machine Learning and MRI-based Diagnostic Models for ADHD: Are We There Yet?
Yanli Zhang‐James, Ali Razavi, Martine Hoogman, et al.
Journal of Attention Disorders (2023) Vol. 27, Iss. 4, pp. 335-353
Open Access | Times Cited: 19
Diagnostic machine learning applications on clinical populations using functional near infrared spectroscopy: a review
Aykut Eken, Farhad Nassehi, Osman Eroğul
Reviews in the Neurosciences (2024) Vol. 35, Iss. 4, pp. 421-449
Open Access | Times Cited: 6
Structural or/and functional MRI-based machine learning techniques for attention-deficit/hyperactivity disorder diagnosis: A systematic review and meta-analysis
Lu Tian, Helin Zheng, Ke Zhang, et al.
Journal of Affective Disorders (2024) Vol. 355, pp. 459-469
Closed Access | Times Cited: 6
The present and future of seizure detection, prediction, and forecasting with machine learning, including the future impact on clinical trials
Wesley T. Kerr, Katherine N. McFarlane, Gabriela Figueiredo Pucci
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 6
Extracting interpretable signatures of whole-brain dynamics through systematic comparison
Annie G. Bryant, Kevin Aquino, Linden Parkes, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 5
Machine learning for classification and prediction of brain diseases: recent advances and upcoming challenges
Ninon Burgos, Olivier Colliot
Current Opinion in Neurology (2020) Vol. 33, Iss. 4, pp. 439-450
Open Access | Times Cited: 42
Association Between Microbial Tyrosine Decarboxylase Gene and Levodopa Responsiveness in Patients With Parkinson Disease
Yi Zhang, Xiaoqin He, Chengjun Mo, et al.
Neurology (2022) Vol. 99, Iss. 22
Closed Access | Times Cited: 26
Exploring the potential of representation and transfer learning for anatomical neuroimaging: Application to psychiatry
Benoît Dufumier, Pietro Gori, Sara Petiton, et al.
NeuroImage (2024) Vol. 296, pp. 120665-120665
Open Access | Times Cited: 4
Impact of Dataset Size on 3D CNN Performance in Intracranial Hemorrhage Classification
Chun‐Chao Huang, Hsin-Fan Chiang, Cheng‐Chih Hsieh, et al.
Diagnostics (2025) Vol. 15, Iss. 2, pp. 216-216
Open Access
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