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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:

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

Showing 1-25 of 26 citing articles:

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
FCS-TPNet: Fusion of fNIRS chromophore signals to construct temporal-spatial graph representation for topological networks
Lin F. Yang, Jiang Gu, Jun Chen, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107528-107528
Closed Access
MNFF-GNN: Multi-Order Neighbor Feature Fusion Graph Neural Network
Yiwen Liu, Tao Wen, Wen Wu, et al.
Electronics (2025) Vol. 14, Iss. 4, pp. 724-724
Open 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
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
A neuroergonomics model for evaluating nuclear power plants operators’ performance under heat stress driven by ECG time-frequency spectrums and fNIRS prefrontal cortex network: A CNN-GAT fusion model
Yan Zhang, Ming Jia, Tao Chen, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102563-102563
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
Automatic depression diagnosis through hybrid EEG and near-infrared spectroscopy features using support vector machine
Li Yi, Guojun Xie, Zhihao Li, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 8
An fNIRS representation and fNIRS-scales multimodal fusion method for auxiliary diagnosis of amnestic mild cognitive impairment
Shiyu Cheng, Pan Shang, Yingwei Zhang, et al.
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106646-106646
Open Access | Times Cited: 2
Resting-State Electroencephalogram Depression Diagnosis Based on Traditional Machine Learning and Deep Learning: A Comparative Analysis
Haijun Lin, Jing Fang, Junpeng Zhang, et al.
Sensors (2024) Vol. 24, Iss. 21, pp. 6815-6815
Open Access | Times Cited: 2
The Combination of a Graph Neural Network Technique and Brain Imaging to Diagnose Neurological Disorders: A Review and Outlook
Shuoyan Zhang, Jiacheng Yang, Ying Zhang, et al.
Brain Sciences (2023) Vol. 13, Iss. 10, pp. 1462-1462
Open Access | Times Cited: 5
An adaptive multi-graph neural network with multimodal feature fusion learning for MDD detection
Tao Xing, Yutao Dou, Xianliang Chen, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Explainable Depression Recognition from EEG Signals via Graph Convolutional Network
Jian Shen, Jiaying Chen, Yu Ma, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023) Vol. 32, pp. 1406-1412
Closed Access | Times Cited: 3
Multi-Class fNIRS Classification Using an Ensemble of GNN-Based Models
Minseok Seo, Eugene Jeong, Kyung-Soo Kim
IEEE Access (2023) Vol. 11, pp. 137606-137620
Open Access | Times Cited: 2
MDEA: Modeling Depressive Emotions Aligned with Knowledge Graphs and Large Language Models
Jiehan Zhou, Kai Shao, Changrong Yu, et al.
(2024), pp. 84-85
Closed Access
Analysis of Parkinson's Disease Multi-connectivity Brain Functional Networks Based on Graph Convolutional Neural Networks
Xiaofei Zhang, Peirui Bai, Mengjiao Zhang, et al.
(2024), pp. 202-211
Closed Access
Attention-Based-Features-Fusion Emotion-Guided fNIRS Classification Network for Prenatal Depression Recognition
Yu Shen, Xuejiao Li, Lei Hua, et al.
Lecture notes in computer science (2024), pp. 12-23
Closed Access
Multimodal Physiological Signals Representation Learning via Multiscale Contrasting for Depression Recognition
Kai Shao, Rui Wang, Yixue Hao, et al.
(2024), pp. 5692-5701
Open Access
Locality-constrained robust discriminant non-negative matrix factorization for depression detection: An fNIRS study
Yushan Wu, Jitao Zhong, Lu Zhang, et al.
Neurocomputing (2024), pp. 128887-128887
Closed Access
CrCo- Mlgcn: A Cross-scale Co-learning Based Multi-Level Graph Convolutional Network for Brain-Computer Interface
Wenchao Yang, Yulan Ma, Yang Li
(2024), pp. 283-287
Closed Access
A Hierarchical Diffusion-Convolutional Network with Node-wise Localization for EEG-NIRS-based Brain-Computer Interface
Wentao Huang, Xinyue Song, Dongyang Kuang
(2024) Vol. 9, pp. 1-6
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
Data Augmentation and Pseudo-sequence of fNIRS for Depression Recognition
Kai Shao, Yixue Hao, Long Hu, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023), pp. 2223-2226
Closed Access | Times Cited: 1
Guest Editorial Advanced Machine Learning Algorithms for Biomedical Data and Imaging
M. Tanveer, Chin‐Teng Lin, Amit Kumar Singh
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 10, pp. 4809-4813
Open Access | Times Cited: 2
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.
Research Square (Research Square) (2023)
Open Access
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