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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:

Depression Analysis and Recognition Based on Functional Near-Infrared Spectroscopy
Rui Wang, Yixue Hao, Yu Qiao, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 25, Iss. 12, pp. 4289-4299
Closed Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Deep learning for prediction of depressive symptoms in a large textual dataset
Md. Zia Uddin, Kim Kristoffer Dysthe, Asbjørn Følstad, et al.
Neural Computing and Applications (2021) Vol. 34, Iss. 1, pp. 721-744
Open Access | Times Cited: 113
Deep learning in fNIRS: a review
Condell Eastmond, Aseem Subedi, Suvranu De, et al.
Neurophotonics (2022) Vol. 9, Iss. 04
Open Access | Times Cited: 68
Interpretable deep learning model for major depressive disorder assessment based on functional near-infrared spectroscopy
Cyrus S. H. Ho, Jin-Yuan Wang, Gabrielle Wann Nii Tay, et al.
Asian Journal of Psychiatry (2024) Vol. 92, pp. 103901-103901
Closed Access | Times Cited: 12
Deep Multi-Modal Network Based Automated Depression Severity Estimation
Md Azher Uddin, Joolekha Bibi Joolee, Kyung-Ah Sohn
IEEE Transactions on Affective Computing (2022) Vol. 14, Iss. 3, pp. 2153-2167
Closed Access | Times Cited: 35
SKEAFN: Sentiment Knowledge Enhanced Attention Fusion Network for multimodal sentiment analysis
Chuanbo Zhu, Min Chen, Sheng Zhang, et al.
Information Fusion (2023) Vol. 100, pp. 101958-101958
Closed Access | Times Cited: 19
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
GNN-Based Depression Recognition Using Spatio-Temporal Information: A fNIRS Study
Yu Qiao, Rui Wang, Jia Liu, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 10, pp. 4925-4935
Closed Access | Times Cited: 26
Feature extraction based on sparse graphs embedding for automatic depression detection
Jitao Zhong, Wenyan Du, Lu Zhang, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105257-105257
Closed Access | Times Cited: 14
Robust discriminant feature extraction for automatic depression recognition
Jitao Zhong, Zhengyang Shan, Xuan Zhang, et al.
Biomedical Signal Processing and Control (2023) Vol. 82, pp. 104505-104505
Closed Access | Times Cited: 13
A review of detection techniques for depression and bipolar disorder
Daniel Highland, Gang Zhou
Smart Health (2022) Vol. 24, pp. 100282-100282
Closed Access | Times Cited: 22
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
Spatio-temporal scale information fusion of Functional Near-Infrared Spectroscopy signal for depression detection
Jitao Zhong, Guangzhi Ma, Lu Zhang, et al.
Knowledge-Based Systems (2023) Vol. 283, pp. 111165-111165
Closed Access | Times Cited: 11
A free association semantic task for fNIRS-based perinatal depression assessment
Danni Chen, Xuanjin Yang, Yuanyuan Liang, et al.
Frontiers in Neurology (2025) Vol. 15
Open Access
Accurate identification of anxiety and depression based on the dlPFC in an emotional autobiographical memory task: A machine learning approach
Guixiang Wang, Yusen Huang, Yan Zhang, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107503-107503
Closed Access
Fusing Spatio-Temporal Information Using Supervised Shared Low-Rank Correlation Embedding for Depression Recognition
Lu Zhang, Peng Xu, Qinglin Zhao, et al.
(2025)
Closed Access
Depression and anxiety detection method based on serialized facial expression imitation
Lin Lü, Yan Jiang, LI Xing-yun, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 149, pp. 110354-110354
Closed Access
Self-Powered Ultraviolet–Visible-Near infrared broad spectrum Sb2S3/TiO2 photodetectors and The application in emotion detection
Shuang Li, Jianping Xu, Shaobo Shi, et al.
Chemical Engineering Journal (2025), pp. 161890-161890
Closed Access
Multimodal depression recognition based on gait and rating scale
Xiaotong Liu, Min Ren, Xuecai Hu, et al.
Expert Systems with Applications (2025) Vol. 278, pp. 127285-127285
Closed Access
Functional near-infrared spectroscopy-based diagnosis support system for distinguishing between mild and severe depression using machine learning approaches
Zhiyong Huang, Man Liu, Hui Yang, et al.
Neurophotonics (2024) Vol. 11, Iss. 02
Open Access | Times Cited: 3
fNIRS-Driven Depression Recognition Based on Cross-Modal Data Augmentation
Kai Shao, Yanjie Liu, Yijun Mo, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 2688-2698
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
CT-Net: an interpretable CNN-Transformer fusion network for fNIRS classification
Lingxiang Liao, Jingqing Lu, Lutao Wang, et al.
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 10, pp. 3233-3247
Closed Access | Times Cited: 2
Sparse discriminant manifold projections for automatic depression recognition
Lu Zhang, Jitao Zhong, Qinglin Zhao, et al.
Neurocomputing (2024) Vol. 614, pp. 128765-128765
Closed Access | Times Cited: 2
Clinical applications of functional near-infrared spectroscopy in the past decade: a bibliometric study
Junfeng Zhang, Changyuan Yu, Meng Wang, et al.
Applied Spectroscopy Reviews (2023) Vol. 59, Iss. 7, pp. 908-934
Open Access | Times Cited: 5
Memristor-Based CNNs for Detecting Stress Using Brain Imaging Signals
SuJin Bak, Jinwoo Park, Jaehoon Lee, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2023) Vol. 8, Iss. 1, pp. 140-149
Open Access | Times Cited: 4
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