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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 51-75 of 79 citing articles:

Delineating a Pathway for the Discovery of Functional Connectome Biomarkers of Autism
Shinwon Park, Phoebe Thomson, Gregory Kiar, et al.
Advances in neurobiology (2024), pp. 511-544
Closed Access | Times Cited: 1
Ensemble classification of autism spectrum disorder using structural magnetic resonance imaging features
Yanli Zhang‐James, Jan K. Buitelaar, Daan van Rooij, et al.
JCPP Advances (2021) Vol. 1, Iss. 3
Open Access | Times Cited: 10
Attention deficit and hyperactivity disorder classification with EEG and machine learning
Claudia Lizbeth Martínez González, Efraín José Martínez Ortiz, Jesús Jaime Moreno Escobar, et al.
Elsevier eBooks (2022), pp. 447-469
Closed Access | Times Cited: 7
When the Whole Is Less Than the Sum of Its Parts: Maximum Object Category Information and Behavioral Prediction in Multiscale Activation Patterns
Hamid Karimi-Rouzbahani, Alexandra Woolgar
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 7
What Has Been Learned from Using EEG Methods in Research of ADHD?
Gráinne McLoughlin, Máté Gyurkovics, Ümit Aydın
Current topics in behavioral neurosciences (2022), pp. 415-444
Closed Access | Times Cited: 6
High-gamma oscillations as neurocorrelates of ADHD: A MEG crossover placebo-controlled study
Yair Dor‐Ziderman, Maor Zeev‐Wolf, Efrat Hirsch Klein, et al.
Journal of Psychiatric Research (2021) Vol. 137, pp. 186-193
Closed Access | Times Cited: 8
Human-Curated Validation of Machine Learning Algorithms for Health Data
Magnus Boman
Deleted Journal (2023) Vol. 2, Iss. 3
Open Access | Times Cited: 3
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.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 8
Classification of drug-naive children with attention-deficit/hyperactivity disorder from typical development controls using resting-state fMRI and graph theoretical approach
Masoud Rezaei, Hoda Zare, Hamidreza Hakimdavoodi, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 5
Classification of Functional Movement Disorders with Resting-State Functional Magnetic Resonance Imaging
Rebecca E. Waugh, Jacob A. Parker, Mark Hallett, et al.
Brain Connectivity (2022) Vol. 13, Iss. 1, pp. 4-14
Open Access | Times Cited: 4
Trends, Limits, and Challenges of Computer Technologies in Attention Deficit Hyperactivity Disorder Diagnosis and Treatment
Renato Montaleão Brum Alves, Mônica Ferreira da Silva, Éber Assis Schmitz, et al.
Cyberpsychology Behavior and Social Networking (2021) Vol. 25, Iss. 1, pp. 14-26
Closed Access | Times Cited: 4
Classification of autism spectrum disorder using electroencephalography in Chinese children: a cross-sectional retrospective study
Si Yang Ke, Huiwen Wu, Haoqi Sun, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access
Artificial Intelligence in Medical Imaging by Machine Learning and Deep Learning
Kalpana Pravin Rahate, Mridul Singh Sengar, S. Patel
Advances in medical technologies and clinical practice book series (2024), pp. 121-159
Closed Access
Resting-State Functional Connectivity Predicts Attention Problems in Children: Evidence from the ABCD Study
Kelly A. Duffy, Nathaniel E. Helwig
NeuroSci (2024) Vol. 5, Iss. 4, pp. 445-461
Open Access
Extracting interpretable signatures of whole-brain dynamics through systematic comparison
Annie G. Bryant, Kevin Aquino, Linden Parkes, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 12, pp. e1012692-e1012692
Open Access
Data Augmentation Through Monte Carlo Arithmetic Leads to More Generalizable Classification in Connectomics
Gregory Kiar, Yohan Chatelain, Ali Salari, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 3
Towards EEG-based objective ADHD diagnosis support using convolutional neural networks
Simon Stock, Jan Hausberg, Alexandre Armengol-Urpi, et al.
(2023), pp. 1-8
Closed Access | Times Cited: 1
SUDEP‐7 Inventory: Validation in a retrospective cohort study
Wesley T. Kerr, Daniela Markovic, Christopher M. DeGiorgio
Epilepsia (2021) Vol. 62, Iss. 11, pp. 2871-2872
Open Access | Times Cited: 3
Data Augmentation Through Monte Carlo Arithmetic Leads to More Generalizable Classification in Connectomics
Gregory Kiar, Yohan Chatelain, Ali Salari, et al.
Neurons Behavior Data analysis and Theory (2021) Vol. 1
Open Access | Times Cited: 2
Two Methodologies in “Amygdala Activation and Connectivity to Emotional Processing Distinguishes Asymptomatic Patients With Bipolar Disorders and Unipolar Depression” That Can Produce False-Positive Results and Some Statistical Recommendations
Simon Vandekar
Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2019) Vol. 4, Iss. 4, pp. 409-410
Closed Access | Times Cited: 1
EEG spectral power, but not theta/beta ratio, is a neuromarker for adult ADHD
Hanni Kiiski, Marc Bennett, Laura M. Rueda‐Delgado, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 1
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.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 1
How I failed machine learning in medical imaging -- shortcomings and recommendations
Gaël Varoquaux, Veronika Cheplygina
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 1
Diagnostic Machine Learning Applications on Clinical Populations using Functional Near Infrared Spectroscopy: A Review
Aykut Eken, Farhad Nassehi, Osman Eroğul
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Rethinking Theta/Beta Ratio in ADHD through Functional Data Analysis
Lorenzo Bianchi, Erica Espinosa, Jacopo Lazzari, et al.
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2023), pp. 1-4
Closed Access

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