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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:

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

Showing 1-25 of 31 citing articles:

Automated detection of ADHD: Current trends and future perspective
Hui Wen Loh, Chui Ping Ooi, Prabal Datta Barua, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105525-105525
Open Access | Times Cited: 105
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
Tools for the Diagnosis of ADHD in Children and Adolescents: A Systematic Review
Bradley S. Peterson, Joey W. Trampush, Morah Brown, et al.
PEDIATRICS (2024) Vol. 153, Iss. 4
Closed Access | Times Cited: 15
Individualized prediction models in ADHD: a systematic review and meta-regression
Gonzalo Salazar de Pablo, Raquel Iniesta, Alessio Bellato, et al.
Molecular Psychiatry (2024) Vol. 29, Iss. 12, pp. 3865-3873
Open Access | Times Cited: 7
Technologies to support the diagnosis and/or treatment of neurodevelopmental disorders: A systematic review
Marzena Oliveira Ribas, Martina Micai, Angela Caruso, et al.
Neuroscience & Biobehavioral Reviews (2022) Vol. 145, pp. 105021-105021
Open Access | Times Cited: 24
Investigating the impact of standard brain atlases and connectivity measures on the accuracy of ADHD detection from fMRI data using deep learning
Snigdha Agarwal, Adarsh Raj, Anjan Chowdhury, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 25, pp. 67023-67057
Closed Access | Times Cited: 4
Using artificial intelligence methods to study the effectiveness of exercise in patients with ADHD
Dan Yu, Jia hui Fang
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 4
EEG-Based ADHD Classification Using Autoencoder Feature Extraction and ResNet with Double Augmented Attention Mechanism
Jayoti Bansal, Gaurav Gangwar, Mohammad Aljaidi, et al.
Brain Sciences (2025) Vol. 15, Iss. 1, pp. 95-95
Open Access
Reduced recruitment of inhibitory control regions in very young children with ADHD during a modified Kiddie Continuous Performance Task: a fMRI study.
Mohammadreza Bayat, Melissa L. Hernandez, Madeline Curzon, et al.
Cortex (2025) Vol. 185, pp. 153-169
Open Access
Entropy difference-based EEG channel selection technique for automated detection of ADHD
Shishir Maheshwari, Kandala N. V. P. S. Rajesh, Vivek Kanhangad, et al.
PLoS ONE (2025) Vol. 20, Iss. 4, pp. e0319487-e0319487
Open Access
Artificial intelligence in ADHD: a global perspective on research hotspots, trends and clinical applications
Xiaofang Wang, Qianfang Jia, L. Liang, et al.
Frontiers in Human Neuroscience (2025) Vol. 19
Open Access
Deep-Learning-Based ADHD Classification Using Children’s Skeleton Data Acquired through the ADHD Screening Game
Wonjun Lee, Deok-Won Lee, Sanghyub Lee, et al.
Sensors (2022) Vol. 23, Iss. 1, pp. 246-246
Open Access | Times Cited: 17
The utility of wearable electroencephalography combined with behavioral measures to establish a practical multi-domain model for facilitating the diagnosis of young children with attention-deficit/hyperactivity disorder
I‐Chun Chen, Che‐Lun Chang, Menghan Chang, et al.
Journal of Neurodevelopmental Disorders (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 3
Generalizable prediction of childhood ADHD symptoms from neurocognitive testing and youth characteristics
Alexander Weigard, Katherine McCurry, Zvi Shapiro, et al.
Translational Psychiatry (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8
Psychometric Properties of ADHD Rating Scale—5 for Children and Adolescents in Sudan—School Version
Abdulkarim Alhossein, Abdulrahman Abdullah Abaoud, Dávid Becker, et al.
Frontiers in Psychology (2022) Vol. 13
Open Access | Times Cited: 10
Information‐based multivariate decoding reveals imprecise neural encoding in children with attention deficit hyperactivity disorder during visual selective attention
Dongwei Li, Xiangsheng Luo, Jialiang Guo, et al.
Human Brain Mapping (2022) Vol. 44, Iss. 3, pp. 937-947
Open Access | Times Cited: 10
Deep Learning-Based ADHD and ADHD-RISK Classification Technology through the Recognition of Children’s Abnormal Behaviors during the Robot-Led ADHD Screening Game
Wonjun Lee, Sanghyub Lee, Deok-Won Lee, et al.
Sensors (2022) Vol. 23, Iss. 1, pp. 278-278
Open Access | Times Cited: 7
Review of Studies on Incremental Validity of Assessment Measures Used in Psychological Assessment of Attention-Deficit Hyperactivity Disorder
Helen Sawaya, Joseph C. Miller, Jeremy M. Raines
Assessment (2023) Vol. 31, Iss. 2, pp. 518-537
Closed Access | Times Cited: 2
Improvement of Classification Performance in High-Dimension Low-Sample-Size Modeling by Sparse Functional Connectivity States in Subjects with Attention Deficit-Hyperactivity Disorder and Healthy Controls
Zahra Zolghadr, Seyed Amir Hossein Batouli, Mehdi Tehrani‐Doost, et al.
Archives of Neuroscience (2023) Vol. 10, Iss. 2
Open Access | Times Cited: 2
Structural and diffusion‐weighted brain imaging predictors of attention‐deficit/hyperactivity disorder and its symptomology in very young (4‐ to 7‐year‐old) children
Ilke Öztekin, Dea Garic, Mohammadreza Bayat, et al.
European Journal of Neuroscience (2022) Vol. 56, Iss. 12, pp. 6239-6257
Open Access | Times Cited: 4
Prediction of Attention-Deficit/Hyperactivity Disorder Diagnosis Using Brief, Low-Cost Clinical Measures: A Competitive Model Evaluation
Michael A. Mooney, Christopher Neighbor, Sarah L. Karalunas, et al.
Clinical Psychological Science (2022) Vol. 11, Iss. 3, pp. 458-475
Open Access | Times Cited: 4
Developing a reliable and practical multi-domain model to facilitate the diagnosis of ADHD in older preschool children
I‐Chun Chen, Che‐Lun Chang, Menghan Chang, et al.
Research Square (Research Square) (2024)
Open Access
Medication Usage Record-Based Predictive Modeling of Neurodevelopmental Abnormality in Infants under One Year: A Prospective Birth Cohort Study
Tianyi Zhou, Yaojia Shen, Jinlang Lyu, et al.
Healthcare (2024) Vol. 12, Iss. 7, pp. 713-713
Open Access
ADHD Diagnosis Using Text Features and Predictive Machine Learning and Deep Learning Algorithms
Nizar Alsharif, Mosleh Hmoud Al-Adhaileh, Saleh Nagi Alsubari, et al.
Deleted Journal (2024) Vol. 3, Iss. 7
Closed Access
Comprehensive review of EEG data classification techniques for ADHD detection using machine learning and deep learning
Nitin Ahire, R. N. Awale, Abhay Wagh
Romanian Journal of Pediatrics (2023) Vol. 72, Iss. 2, pp. 57-66
Open Access | Times Cited: 1
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