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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:

Improving the diagnostic accuracy for major depressive disorder using machine learning algorithms integrating clinical and near-infrared spectroscopy data
Cyrus S. H. Ho, Yee Ling Chan, Trevor Wei Kiat Tan, et al.
Journal of Psychiatric Research (2022) Vol. 147, pp. 194-202
Closed Access | Times Cited: 18

Showing 18 citing articles:

Diagnostic machine learning applications on clinical populations using functional near infrared spectroscopy: a review
Aykut Eken, Farhad Nassehi, Osman Eroğul
Reviews in the Neurosciences (2024) Vol. 35, Iss. 4, pp. 421-449
Open Access | Times Cited: 6
Prediction of health anxiety using resting-state functional near-infrared spectroscopy and machine learning
Congrong Shi, Xiayu Du, Zhihong Ren
Journal of Affective Disorders (2025) Vol. 374, pp. 39-45
Closed Access
Application of functional near-infrared spectroscopy and machine learning to predict treatment response after six months in major depressive disorder
Cyrus S. H. Ho, Jin-Yuan Wang, Gabrielle Wann Nii Tay, et al.
Translational Psychiatry (2025) Vol. 15, Iss. 1
Open Access
Identification of Subthreshold Depression Based on fNIRS–VFT Functional Connectivity: A Machine Learning Approach
Lin Li, Jingxuan Liu, Yifan Zheng, et al.
Depression and Anxiety (2025) Vol. 2025, Iss. 1
Open Access
An Interpretable Deep-Learning Approach to Detect Biomarkers in Anxious-Depressed Symptoms from Prefrontal fNIRS Signals During an Autobiographical Memory Test
Yan Zhang, Yawen Xu, Yihang Cheng, et al.
Asian Journal of Psychiatry (2025), pp. 104451-104451
Closed Access
Identifying major depressive disorder based on cerebral blood flow and brain structure: An explainable multimodal learning study
Jinlong Hu, Yupeng Hou, Bo Peng, et al.
Journal of Psychiatric Research (2025) Vol. 182, pp. 304-311
Closed Access
Mitochondrial dynamics dysfunction: Unraveling the hidden link to depression
Haiyang Chen, Mei Lu, Qin Lyu, et al.
Biomedicine & Pharmacotherapy (2024) Vol. 175, pp. 116656-116656
Open Access | Times Cited: 3
Effectiveness of artificial intelligence in detecting and managing depressive disorders: Systematic review
Yoonseo Park, Sewon Park, Munjae Lee
Journal of Affective Disorders (2024) Vol. 361, pp. 445-456
Closed Access | Times Cited: 3
Depressonify: BERT a deep learning approach of detection of depression
Meena Kumari, Gurpreet Singh, Sagar Dhanraj Pande
EAI Endorsed Transactions on Pervasive Health and Technology (2024) Vol. 10
Open Access | Times Cited: 1
A novel multi-model feature generation technique for suicide detection
Ting Ding, Tonghui Qu, Zhihong Zou, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2301-e2301
Open Access | Times Cited: 1
Intrinsic Organization of Occipital Hubs Predicts Depression: A Resting-State fNIRS Study
You Xu, Yajie Wang, Nannan Hu, et al.
Brain Sciences (2022) Vol. 12, Iss. 11, pp. 1562-1562
Open Access | Times Cited: 7
MicroRNA classification and discovery for major depressive disorder diagnosis: Towards a robust and interpretable machine learning approach
Yee Ling Chan, Cyrus S. H. Ho, Gabrielle W. N. Tay, et al.
Journal of Affective Disorders (2024) Vol. 360, pp. 326-335
Closed Access
Identification of Biomarkers for Anxious Depression on a Large Scale: Utilizing Cortical Hemodynamic Response in Machine Learning
Yan Zhang, Yawen Xu, Huifen Wu, et al.
(2024)
Closed Access
Identifying neuroimaging biomarkers in major depressive disorder using machine learning algorithms and functional near-infrared spectroscopy (fNIRS) during verbal fluency task
Lingyun Mao, Xin Hong, Maorong Hu
Journal of Affective Disorders (2024) Vol. 365, pp. 9-20
Closed Access
Antidepressant Treatment Response Prediction with Early Assessment of Functional Near-Infrared Spectroscopy and Micro-RNA
Lok Hua Lee, Cyrus S. H. Ho, Yee Ling Chan, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2024) Vol. 13, pp. 9-22
Open Access
A Framework for Diagnosis of Major Depressive Disorder
Jin-Yuan Wang, Cyrus S. H. Ho, Roger Ho, et al.
IFMBE proceedings (2024), pp. 254-261
Closed Access
Functional Near‐Infrared Spectroscopy‐Based Computer‐Aided Diagnosis of Major Depressive Disorder Using Convolutional Neural Network with a New Channel Embedding Layer Considering Inter‐Hemispheric Asymmetry in Prefrontal Hemodynamic Responses
Kyeonggu Lee, Jinuk Kwon, M. Chun, et al.
Depression and Anxiety (2024) Vol. 2024, Iss. 1
Open Access
Diagnostic Machine Learning Applications on Clinical Populations using Functional Near Infrared Spectroscopy: A Review
Aykut Eken, Farhad Nassehi, Osman Eroğul
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
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