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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:

Mutual Information Based Fusion Model (MIBFM): Mild Depression Recognition Using EEG and Pupil Area Signals
Jing Zhu, Changlin Yang, Xiannian Xie, et al.
IEEE Transactions on Affective Computing (2022) Vol. 14, Iss. 3, pp. 2102-2115
Closed Access | Times Cited: 11

Showing 11 citing articles:

EDT: An EEG-based attention model for feature learning and depression recognition
Ming Ying, Xuexiao Shao, Jing Zhu, et al.
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106182-106182
Closed Access | Times Cited: 6
Feature-level fusion based on spatial-temporal of pervasive EEG for depression recognition
Bingtao Zhang, Dan Wei, Guanghui Yan, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 226, pp. 107113-107113
Closed Access | Times Cited: 22
Transformer-based fusion model for mild depression recognition with EEG and pupil area signals
Jing Zhu, Yuanlong Li, Changlin Yang, et al.
Medical & Biological Engineering & Computing (2025)
Closed Access
Spectral, phase, and their interacting components for complexity analysis of depression electroencephalogram
Yuman Luo, Shumei Zhu, Jiaqi Yu, et al.
AIP Advances (2025) Vol. 15, Iss. 3
Open Access
An adaptive joint CCA-ICA method for ocular artifact removal and its application to emotion classification
Xiaohui Gao, Shilai Zhang, Ke Liu, et al.
Journal of Neuroscience Methods (2023) Vol. 390, pp. 109841-109841
Closed Access | Times Cited: 7
Achieving EEG-based depression recognition using Decentralized-Centralized structure
Xuexiao Shao, Ming Ying, Jing Zhu, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106402-106402
Closed Access | Times Cited: 2
CoDF-Net: coordinated-representation decision fusion network for emotion recognition with EEG and eye movement signals
Xinrong Gong, Yihan Dong, Tong Zhang
International Journal of Machine Learning and Cybernetics (2023) Vol. 15, Iss. 4, pp. 1213-1226
Closed Access | Times Cited: 6
Hybrid Approach for Enhanced Depression Detection using Learning Techniques
Ganesh D. Jadhav, Sachin D. Babar, Parikshit N. Mahalle
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 4
Open Access | Times Cited: 1
Hybrid fusion model based on DBN and secondary classifier: Multimodal mild depression recognition using EEG and eye movement
Jing Zhu, Xiannian Xie, Changlin Yang, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2022), pp. 1846-1850
Closed Access | Times Cited: 4
Depression Severity Identification Based on Shallow 2d Self-Attention-Cnn Using Eeg Functional Connectivity Network
Yihan Zhou, Xiaokang Yu, Huiping Lin, et al.
(2024)
Closed Access
Pupillary response to cognitive control in depression-prone individuals
Z Liu, Z Wang, Bihua Cao, et al.
International Journal of Psychophysiology (2024) Vol. 205, pp. 112426-112426
Closed Access
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