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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:

Detection of Minor and Major Depression through Voice as a Biomarker Using Machine Learning
Daun Shin, Won Kyong Cho, C. Hyung Keun Park, et al.
Journal of Clinical Medicine (2021) Vol. 10, Iss. 14, pp. 3046-3046
Open Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

Novel Cuckoo Search-Based Metaheuristic Approach for Deep Learning Prediction of Depression
Khurram Jawad, Rajul Mahto, Aryan Das, et al.
Applied Sciences (2023) Vol. 13, Iss. 9, pp. 5322-5322
Open Access | Times Cited: 34
Digital phenotype of mood disorders: A conceptual and critical review
Redwan Maatoug, Antoine Oudin, Vladimir Adrien, et al.
Frontiers in Psychiatry (2022) Vol. 13
Open Access | Times Cited: 29
Evaluation of an AI-Based Voice Biomarker Tool to Detect Signals Consistent With Moderate to Severe Depression
Alexa Mazur, Harrison Costantino, Prentice Tom, et al.
The Annals of Family Medicine (2025), pp. 240091-240091
Open Access
Voice analysis and deep learning for detecting mental disorders in pregnant women: a cross-sectional study
Hikaru Ooba, Jota Maki, Hisashi Masuyama
Discover Mental Health (2025) Vol. 5, Iss. 1
Open Access
Examining anterior prefrontal cortex resting-state functional connectivity patterns associated with depressive symptoms in chronic moderate-to-severe traumatic brain injury
Layan A. Elfaki, Bhanu Sharma, Liesel-Ann Meusel, et al.
Frontiers in Neurology (2025) Vol. 16
Open Access
Differential Diagnosis
Shinichi Tokuno
(2025), pp. 171-176
Closed Access
Detection of Depression and Suicide Risk Based on Text From Clinical Interviews Using Machine Learning: Possibility of a New Objective Diagnostic Marker
Daun Shin, Kyungdo Kim, Seung-Bo Lee, et al.
Frontiers in Psychiatry (2022) Vol. 13
Open Access | Times Cited: 17
Relative importance of speech and voice features in the classification of schizophrenia and depression
Mark L. Berardi, Katharina Brosch, Julia‐Katharina Pfarr, et al.
Translational Psychiatry (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10
Neuropathological implication of high blood bilirubin in patients and model rats with depression
Yejun Gao, Yian Ling, Jing Li, et al.
Brain Research Bulletin (2024) Vol. 215, pp. 111028-111028
Open Access | Times Cited: 3
A review and meta-analysis of machine intelligence approaches for mental health issues and depression detection
Ravita Chahar, Ashutosh Kumar Dubey, Sushil Kumar Narang
International Journal of Advanced Technology and Engineering Exploration (2021) Vol. 8, Iss. 83
Open Access | Times Cited: 18
DEPAC: a Corpus for Depression and Anxiety Detection from Speech
Mashrura Tasnim, Malikeh Ehghaghi, Brian Diep, et al.
(2022)
Open Access | Times Cited: 13
Differentiation between depression and bipolar disorder in child and adolescents by voice features
Jie Luo, Yuanzhen Wu, Mengqi Liu, et al.
Child and Adolescent Psychiatry and Mental Health (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 2
Prevalence of subthreshold depression in older adults: A systematic review and meta-analysis
Xiaoyan Zhao, Li Zhang, Ariadna Albajara Sáenz, et al.
Asian Journal of Psychiatry (2024) Vol. 102, pp. 104253-104253
Closed Access | Times Cited: 2
Explainable Multi-Layer Dynamic Ensemble Framework Optimized for Depression Detection and Severity Assessment
Dillan Imans, Tamer Abuhmed, Meshal Alharbi, et al.
Diagnostics (2024) Vol. 14, Iss. 21, pp. 2385-2385
Open Access | Times Cited: 2
The voice of depression: speech features as biomarkers for major depressive disorder
Felix Menne, Felix Dörr, Julia Schräder, et al.
BMC Psychiatry (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Acoustic Analysis of Speech for Screening for Suicide Risk: Machine Learning Classifiers for Between- and Within-Person Evaluation of Suicidality
Sooyeon Min, Daun Shin, Sang Jin Rhee, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e45456-e45456
Open Access | Times Cited: 6
Comparison of classifiers using robust features for depression detection on Bahasa Malaysia speech
Nik Nur Wahidah Nik Hashim, Nadzirah Ahmad Basri, Mugahed Al-Ezzi Ahmad Ezzi, et al.
IAES International Journal of Artificial Intelligence (2022) Vol. 11, Iss. 1, pp. 238-238
Open Access | Times Cited: 9
A Systematic Review on Machine Learning Techniques for Early Detection of Mental, Neurological and Laryngeal Disorders Using Patient’s Speech
Mohammadjavad Sayadi, V. Vijayakumar, Mostafa Langarizadeh, et al.
Electronics (2022) Vol. 11, Iss. 24, pp. 4235-4235
Open Access | Times Cited: 8
Voice as a Biomarker in Health‐Tech: Mapping the Evolving Landscape of Voice Biomarkers in the Start‐Up World
Emily Evangelista, Jean‐Christophe Bélisle‐Pipon, Matthew R. Naunheim, et al.
Otolaryngology (2024) Vol. 171, Iss. 2, pp. 340-352
Closed Access | Times Cited: 1
Development and Evaluation of the DMIND Questionnaire: Preparing for AI Integration into an Effective Depression Screening Tool
Solaphat Hemrungrojn, Kittipoch Saengsai, Pasit Jakkrawankul, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Depressive and mania mood state detection through voice as a biomarker using machine learning
Jun Ji, Wentian Dong, Jiaqi Li, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 1
Stakeholder perspectives on ethical and trustworthy voice AI in health care
Jean‐Christophe Bélisle‐Pipon, Maria Powell, Renee English, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 1
Combining Polygenic Risk Score and Voice Features to Detect Major Depressive Disorders
Yazheng Di, Jingying Wang, Xiaoqian Liu, et al.
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 9
Ethical Aspects of Machine Listening in Healthcare
Austin M. Stroud, Joel E. Pacyna, Richard R. Sharp
The American Journal of Bioethics (2023) Vol. 23, Iss. 5, pp. 1-3
Closed Access | Times Cited: 2
Detecting depression and its severity based on social media digital cues
Shasha Deng, Xuan Cheng, Rong Hu
Industrial Management & Data Systems (2023) Vol. 123, Iss. 12, pp. 3038-3052
Closed Access | Times Cited: 2
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