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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 26-50 of 79 citing articles:

Combining machine learning algorithms for prediction of antidepressant treatment response
Alexander Kautzky, Hans‐Juergen Möller, Markus Dold, et al.
Acta Psychiatrica Scandinavica (2020) Vol. 143, Iss. 1, pp. 36-49
Open Access | Times Cited: 35
Is there any incremental benefit to conducting neuroimaging and neurocognitive assessments in the diagnosis of ADHD in young children? A machine learning investigation
Ilke Öztekin, Mark A. Finlayson, Paulo A. Graziano, et al.
Developmental Cognitive Neuroscience (2021) Vol. 49, pp. 100966-100966
Open Access | Times Cited: 31
Altered neural flexibility in children with attention-deficit/hyperactivity disorder
Weiyan Yin, Tengfei Li, Peter J. Mucha, et al.
Molecular Psychiatry (2022) Vol. 27, Iss. 11, pp. 4673-4679
Open Access | Times Cited: 20
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
Development and validation of a machine learning model to predict cognitive behavioral therapy outcome in obsessive-compulsive disorder using clinical and neuroimaging data
Laurens A. van de Mortel, Willem B. Bruin, Pino Alonso, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
The blessing of Dimensionality: Feature Selection outperforms functional connectivity-based feature transformation to classify ADHD subjects from EEG patterns of phase synchronisation
Ernesto Pereda, Miguel García-Torres, Belén Melián-Batista, et al.
PLoS ONE (2018) Vol. 13, Iss. 8, pp. e0201660-e0201660
Open Access | Times Cited: 34
Attention-Like Multimodality Fusion With Data Augmentation for Diagnosis of Mental Disorders Using MRI
Rui Liu, Zhi-An Huang, Yao Hu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 6, pp. 7627-7641
Closed Access | Times Cited: 17
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
Objective score from initial interview identifies patients with probable dissociative seizures
Wesley T. Kerr, Emily A. Janio, Andrea M. Chau, et al.
Epilepsy & Behavior (2020) Vol. 113, pp. 107525-107525
Open Access | Times Cited: 26
Identifying ADHD boys by very-low frequency prefrontal fNIRS fluctuations during a rhythmic mental arithmetic task
Sergio Ortuño-Miró, Sergio Molina‐Rodríguez, Carlos Belmonte, et al.
Journal of Neural Engineering (2023) Vol. 20, Iss. 3, pp. 036018-036018
Open Access | Times Cited: 8
The structural connectome in ADHD
Xuan Bu, Miao Cao, Xiaoqi Huang, et al.
Deleted Journal (2021) Vol. 1, Iss. 4, pp. 257-271
Open Access | Times Cited: 16
Multitask Learning for Joint Diagnosis of Multiple Mental Disorders in Resting-State fMRI
Zhi-An Huang, Rui Liu, Zexuan Zhu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 6, pp. 8161-8175
Closed Access | Times Cited: 12
A framework for confounder considerations in AI-driven precision medicine
Vera Komeyer, Simon B. Eickhoff, Christian Grefkes, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Stable multivariate lesion symptom mapping
Alex Teghipco, Roger Newman‐Norlund, Makayla Gibson, et al.
Aperture Neuro (2024) Vol. 4
Open Access | Times Cited: 2
Multimodal Ensemble Deep Learning to Predict Disruptive Behavior Disorders in Children
Sreevalsan S. Menon, K. Krishnamurthy
Frontiers in Neuroinformatics (2021) Vol. 15
Open Access | Times Cited: 15
A framework for characterizing heterogeneity in neurodevelopmental data using latent profile analysis in a sample of children with ADHD
Anne B. Arnett, Brian P. Flaherty
Journal of Neurodevelopmental Disorders (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 10
Temporal Variabilities Provide Additional Category-Related Information in Object Category Decoding: A Systematic Comparison of Informative EEG Features
Hamid Karimi-Rouzbahani, Mozhgan Shahmohammadi, Ehsan Vahab, et al.
Neural Computation (2021), pp. 1-46
Open Access | Times Cited: 14
Neuroimaging in Psychiatry and Neurodevelopment: why the emperor has no clothes
Ashley N. Anderson, Jace B. King, Jeffrey S. Anderson
British Journal of Radiology (2019) Vol. 92, Iss. 1101
Open Access | Times Cited: 12
Multi-Task Learning for Efficient Diagnosis of ASD and ADHD using Resting-State fMRI Data
Zhi-An Huang, Rui Liu, Kay Chen Tan
2022 International Joint Conference on Neural Networks (IJCNN) (2020), pp. 1-7
Closed Access | Times Cited: 12
Estimating Gender and Age from Brain Structural MRI of Children and Adolescents: A 3D Convolutional Neural Network Multitask Learning Model
Sérgio Leonardo Mendes, Walter Hugo Lopez Pinaya, Pedro Mário Pan, et al.
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 11
The Cost of Untracked Diversity in Brain-Imaging Prediction
Oualid Benkarim, Casey Paquola, Bo‐yong Park, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 11
Prediction of antidepressant responses to non-invasive brain stimulation using frontal electroencephalogram signals: Cross-dataset comparisons and validation
Cheng‐Ta Li, Chi-Sheng Chen, Chih‐Ming Cheng, et al.
Journal of Affective Disorders (2023) Vol. 343, pp. 86-95
Closed Access | Times Cited: 4
Common Critiques and Recommendations for Studies in Neurology Using Machine Learning Methods
Jaime Lynn Speiser, Wesley T. Kerr, Andreas Ziegler
Neurology (2024) Vol. 103, Iss. 7
Closed Access | Times Cited: 1
Translating Decades of Neuroscience Research into Diagnostic and Treatment Biomarkers for ADHD
Sandra K. Loo, Agatha Lenartowicz, Luke Norman, et al.
Advances in neurobiology (2024), pp. 579-616
Closed Access | Times Cited: 1

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