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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:

Artificial intelligence assisted tools for the detection of anxiety and depression leading to suicidal ideation in adolescents: a review
Prabal Datta Barua, Jahmunah Vicnesh, Oh Shu Lih, et al.
Cognitive Neurodynamics (2022) Vol. 18, Iss. 1, pp. 1-22
Open Access | Times Cited: 19

Showing 19 citing articles:

Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade
Smith K. Khare, Sonja March, Prabal Datta Barua, et al.
Information Fusion (2023) Vol. 99, pp. 101898-101898
Open Access | Times Cited: 76
Depression Recognition Using Daily Wearable-Derived Physiological Data
Xinyu Shui, Hao Xu, Shuping Tan, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 567-567
Open Access | Times Cited: 1
Intelligent Internet of Medical Things for Depression: Current Advancements, Challenges, and Trends
Md Belal Bin Heyat, Deepak Adhikari, Faijan Akhtar, et al.
International Journal of Intelligent Systems (2025) Vol. 2025, Iss. 1
Open Access | Times Cited: 1
A Comprehensive Review of Deep Learning: Architectures, Recent Advances, and Applications
Ibomoiye Domor Mienye, Theo G. Swart
Information (2024) Vol. 15, Iss. 12, pp. 755-755
Open Access | Times Cited: 5
An Overview of Tools and Technologies for Anxiety and Depression Management Using AI
Adrianos Pavlopoulos, Theodoros Rachiotis, Ilias Maglogiannis
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 9068-9068
Open Access | Times Cited: 4
An Overview of Tools and Technologies for Anxiety and Depression Management Using AI
Adrianos Pavlopoulos, Theodoros Rachiotis, Ilias Maglogiannis
(2024)
Open Access | Times Cited: 3
Childhood maltreatment, parenting style and anxiety in Chinese youths: A case-control study
Lin Chen, Jin Lü, Qiongxian Li, et al.
Child Abuse & Neglect (2024) Vol. 153, pp. 106807-106807
Closed Access | Times Cited: 2
Evaluating deep learning techniques for identifying tongue features in subthreshold depression: a prospective observational study
Bo Han, Yue Chang, Rui-rui Tan, et al.
Frontiers in Psychiatry (2024) Vol. 15
Open Access | Times Cited: 2
Data mining process to detect suicidal behaviour in out-of-hospital emergency departments
José del Campo-Ávila, Javier Ramos-Martín, Carlos Gómez Sánchez-Lafuente, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108910-108910
Open Access | Times Cited: 1
Evaluating of BERT-based and Large Language Mod for Suicide Detection, Prevention, and Risk Assessment: A Systematic Review
Inbar Levkovich, Mahmud Omar
Journal of Medical Systems (2024) Vol. 48, Iss. 1
Open Access | Times Cited: 1
Neural energy computations based on Hodgkin-Huxley models bridge abnormal neuronal activities and energy consumption patterns of major depressive disorder
Yuanxi Li, Bing Zhang, Zhiqiang Liu, et al.
Computers in Biology and Medicine (2023) Vol. 166, pp. 107500-107500
Closed Access | Times Cited: 2
Artificial Intelligence–Based Student Activity Monitoring for Suicide Risk: Considerations for K–12 Schools, Caregivers, Government, and Technology Developers
Lynsay Ayer, Benjamin Boudreaux, Jessica Welburn Paige, et al.
RAND Corporation eBooks (2023)
Open Access | Times Cited: 2
Machine Learning-Based Approaches for Early Prediction of Depression
Khushi Shah, Urmi Patel, Yogesh Kumar
(2024), pp. 1-7
Closed Access
Deep Learning-Based Depression Analysis Among College Students Using Multi Modal Techniques
Liyan Wang
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 7
Open Access
Predictive factors for the development of depression in children and adolescents: a clinical study
Zhang Hong, Peilin Yu, Xiaoming Liu, et al.
Frontiers in Psychiatry (2024) Vol. 15
Open Access
Development and Validation of a Nomogram for Predicting Suicidal Ideation Among Rural Adolescents in China
Yunjiao Luo, Yuhao Wang, Yingxue Wang, et al.
Psychology Research and Behavior Management (2024) Vol. Volume 17, pp. 4413-4429
Open Access
Harnessing Artificial Intelligence (AI) for Psychological Assessment and Treatment in Older Adults
Emre Senol-Durak
Journal of Aging and Long-Term Care (2024), pp. 55-82
Open Access
Essential Regulatory Update for Implementation of Clinical Decision Support Software in the Psychiatric Field
Dekel Taliaz, Rivka Lilian, Roy Schurr, et al.
Medical Research Archives (2023) Vol. 11, Iss. 11
Open Access | Times Cited: 1
Suicidal Tweet Detection Using Ensemble Learning: A Multi-Model Approach for Early Intervention
Arjun Sharma, Shantanu Neema
(2023), pp. 1-6
Closed Access | Times Cited: 1
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