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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:

Use of machine learning to classify adult ADHD and other conditions based on the Conners’ Adult ADHD Rating Scales
Hanna Christiansen, Mira‐Lynn Chavanon, Oliver Hirsch, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 34

Showing 1-25 of 34 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: 104
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
Predicting Children with ADHD Using Behavioral Activity: A Machine Learning Analysis
Md. Maniruzzaman, Jungpil Shin, Md. Al Mehedi Hasan
Applied Sciences (2022) Vol. 12, Iss. 5, pp. 2737-2737
Open Access | Times Cited: 29
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
A novel framework to predict ADHD symptoms using irritability in adolescents and young adults with and without ADHD
Saeedeh Komijani, Dipak Ghosal, Manpreet K. Singh, et al.
Frontiers in Psychiatry (2025) Vol. 15
Open Access
Interpretable machine learning approaches for children’s ADHD detection using clinical assessment data: an online web application deployment
Han Qin, Lili Zhang, Jianhong Wang, et al.
BMC Psychiatry (2025) Vol. 25, Iss. 1
Open Access
Artificial intelligence as a support to diagnose ADHD: an insight of unorthodox approaches: a scoping review
Amna Zaheer, Ahmad Akhtar
Child Neuropsychology (2025), pp. 1-35
Closed Access
Machine Learning in ADHD and Depression Mental Health Diagnosis: A Survey
Christian Nash, Rajesh Nair, Syed Mohsen Naqvi
IEEE Access (2023) Vol. 11, pp. 86297-86317
Open Access | Times Cited: 12
Training a machine learning classifier to identify ADHD based on real-world clinical data from medical records
Pavol Mikoláš, Amirali Vahid, Fabio Bernardoni, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 18
A systematic review on the application of machine learning models in psychometric questionnaires for the diagnosis of attention deficit hyperactivity disorder
Lucía Caselles‐Pina, Alejandro Quesada‐López, Aarón Sújar, et al.
European Journal of Neuroscience (2024) Vol. 60, Iss. 3, pp. 4115-4127
Open Access | Times Cited: 3
Diagnosis of attention deficit hyperactivity disorder: A deep learning approach
Nizar Alsharif, Mosleh Hmoud Al-Adhaileh, Mohammed Al‐Yaari
AIMS Mathematics (2024) Vol. 9, Iss. 5, pp. 10580-10608
Open Access | Times Cited: 3
Unraveling minds in the digital era: a review on mapping mental health disorders through machine learning techniques using online social media
Aysha Khan, Rashid Ali
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
Closed Access | Times Cited: 3
Distinguishing different types of attention deficit hyperactivity disorder in children using artificial neural network with clinical intelligent test
I‐Cheng Lin, Shen-Chieh Chang, Yu‐Jui Huang, et al.
Frontiers in Psychology (2023) Vol. 13
Open Access | Times Cited: 7
Detection of ADHD Based on Eye Movements During Natural Viewing
Shuwen Deng, Paul Prasse, David R. Reich, et al.
Lecture notes in computer science (2023), pp. 403-418
Closed Access | Times Cited: 7
Attention deficit/hyperactivity disorder in adults: A case study
Keith O. Plowden, Timothy J. Legg, Dana Wiley
Archives of Psychiatric Nursing (2022) Vol. 38, pp. 29-35
Closed Access | Times Cited: 5
Application of artificial intelligence tools in diagnosis and treatmentof mental disorders
Klaudia Kister, Jakub Laskowski, Agata Makarewicz, et al.
Current Problems of Psychiatry (2023) Vol. 24, pp. 1-18
Open Access | Times Cited: 2
Biological Predictors of Treatment Response in Adult Attention Deficit Hyperactivity Disorder (ADHD): A Systematic Review
Enrico Capuzzi, Alice Caldiroli, Anna Maria Auxilia, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 10, pp. 1742-1742
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
Predicting adult Attention Deficit Hyperactivity Disorder (ADHD) using vocal acoustic features
Georg G. von Polier, Eike Ahlers, Julia Amunts, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 5
Machine Learning in ADHD and Depression Mental Health Diagnosis
Shahida Begum, Anushri Rao, Mehak Taj
International Journal of Advanced Research in Science Communication and Technology (2024), pp. 481-485
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
Interpretable Machine Learning Approaches for Children's ADHD Detection Using Clinical Assessment Data: An online web application deployment
Han Qin, Lili Zhang, Jianhong Wang, et al.
Research Square (Research Square) (2024)
Open Access
SymScore: Machine Learning Accuracy Meets Transparency in a Symbolic Regression-Based Clinical Score Generator
Olive R. Cawiding, Sieun Lee, Hyeontae Jo, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Virtual reality-assisted prediction of adult ADHD based on eye tracking, EEG, actigraphy and behavioral indices: a machine learning analysis of independent training and test samples
Annika Wiebe, Benjamin Selaskowski, Martha Paskin, et al.
Translational Psychiatry (2024) Vol. 14, Iss. 1
Open Access
Use of Machine Learning Models to Differentiate Neurodevelopment Conditions Through Digitally Collected Data: Cross-Sectional Questionnaire Study
Silvia Grazioli, Alessandro Crippa, Noemi Buo, et al.
JMIR Formative Research (2024) Vol. 8, pp. e54577-e54577
Open Access
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