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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:

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

Showing 10 citing articles:

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
Developing a therapeutic app based on the emotional Stroop task for objective discovery of daily life issues for people with ADHD
Sanne Schoenmakers, Siegfried Bös, Wijnand A. IJsselsteijn
Frontiers in Psychology (2025) Vol. 16
Open Access
Contributions of brain regions to machine learning-based classifications of attention deficit hyperactivity disorder (ADHD) utilizing EEG signals
Manjusha Deshmukh, Mahi Khemchandani, Paramjit Mahesh Thakur
Applied Neuropsychology Adult (2024), pp. 1-15
Closed Access | Times Cited: 3
Effectiveness of a game-based high-intensity interval training on executive function and other health indicators of children with ADHD: A three-arm partially-blinded randomized controlled trial
Fenghua Sun, Yuan Fang, Ying Fung Ho, et al.
Journal of Exercise Science & Fitness (2024) Vol. 22, Iss. 4, pp. 408-416
Open Access | Times Cited: 3
Compressibility Analysis of Functional Near-Infrared Spectroscopy Signals in Children With Attention-Deficit/Hyperactivity Disorder
Yue Gu, Shuo Miao, Yao Zhang, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 11, pp. 5449-5458
Closed Access | Times Cited: 3
Novel Feature Generation for Classification of Motor Activity from Functional Near-Infrared Spectroscopy Signals Using Machine Learning
V. Akila, J. Anita Christaline, A. Shirly Edward
Diagnostics (2024) Vol. 14, Iss. 10, pp. 1008-1008
Open Access
Machine Learning-Based ADHD Detection From fNIRs Signal During Reverse Stroop Tasks
Md. Maniruzzaman, Koki Hirooka, Yoichi Tomioka, et al.
IEEE Access (2024) Vol. 12, pp. 82984-82995
Open Access
Research on Node Cluster Analysis in Brain Connection Data
Guangcheng Dongye, Tao Liu, Wenhao Bi, et al.
Lecture notes in computer science (2024), pp. 3-15
Closed Access
Brain Function Characteristics of Children with Attention-Deficit/Hyperactivity Disorder Aged 4-9 Years During a GO/NOGO Task: An Functional Near-Infrared Spectroscopy Study
Zhijun Cui, Aimin Liang, Hongmei Huang, et al.
Neuropsychiatric Disease and Treatment (2024) Vol. Volume 20, pp. 2507-2516
Open Access
Attention Deficit/Hyperactivity Disorder (ADHD) and the Application of Functional Near-Infrared Spectroscopy (fNIRS) Measures
Armando dos Santos Afonso, Walter Machado-Pinheiro, Ana Osório, et al.
(2024), pp. 1-24
Closed Access
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