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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:

TAMFN: Time-Aware Attention Multimodal Fusion Network for Depression Detection
Li Zhou, Zhenyu Liu, Zixuan Shangguan, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 31, pp. 669-679
Open Access | Times Cited: 17

Showing 17 citing articles:

DepMSTAT: Multimodal Spatio-Temporal Attentional Transformer for Depression Detection
Yongfeng Tao, Minqiang Yang, Huiru Li, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 7, pp. 2956-2966
Closed Access | Times Cited: 23
Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches
Lin Sze Khoo, Mei Kuan Lim, Chun Yong Chong, et al.
Sensors (2024) Vol. 24, Iss. 2, pp. 348-348
Open Access | Times Cited: 23
Deep learning-based depression recognition through facial expression: A systematic review
Xiaoming Cao, Lingling Zhai, Pengpeng Zhai, et al.
Neurocomputing (2025), pp. 129605-129605
Closed Access
Modality independent federated multimodal classification system detached EEG, audio and text data for IID and non-IID conditions
Chetna Gupta, Vikas Khullar
Biomedical Signal Processing and Control (2025) Vol. 108, pp. 107938-107938
Closed Access
Automatic recognition of depression based on audio and video: A review
Mengmeng Han, LI Xing-yun, Xinyu Yi, et al.
World Journal of Psychiatry (2024) Vol. 14, Iss. 2, pp. 225-233
Open Access | Times Cited: 3
Application of multi-modal data fusion based on deep learning in diagnosis of depression
Pan Aizhen
Data & Metadata (2025) Vol. 4, pp. 863-863
Closed Access
Reading Between the Frames: Multi-modal Depression Detection in Videos from Non-verbal Cues
David Gimeno-Gómez, Ana-Maria Bucur, Adrian Cosma, et al.
Lecture notes in computer science (2024), pp. 191-209
Closed Access | Times Cited: 3
A novel study for depression detecting using audio signals based on graph neural network
Chenjian Sun, Min Jiang, Linlin Gao, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105675-105675
Closed Access | Times Cited: 7
Fusing Multi-Level Features from Audio and Contextual Sentence Embedding from Text for Interview-Based Depression Detection
Junqi Xue, Ruihan Qin, Xinxu Zhou, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 6790-6794
Closed Access | Times Cited: 2
Cross-Silo, Privacy-Preserving, and Lightweight Federated Multimodal System for the Identification of Major Depressive Disorder Using Audio and Electroencephalogram
Chetna Gupta, Vikas Khullar, Nitin Goyal, et al.
Diagnostics (2023) Vol. 14, Iss. 1, pp. 43-43
Open Access | Times Cited: 6
MDAVIF: A Multi-Domain Acoustical-Visual Information Fusion Model for Depression Recognition from Vlog Data
Tianfei Ling, Deyuan Chen, Baobin Li
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 8115-8119
Closed Access | Times Cited: 1
Physiological Electrosignal Asynchronous Acquisition Technology: Insight and Perspectives
Bin Hu, Lixian Zhu, Qunxi Dong, et al.
IEEE Transactions on Computational Social Systems (2024) Vol. 11, Iss. 1, pp. 5-24
Open Access
Depression recognition using voice-based pre-training model
Xiangsheng Huang, Fang Wang, Yuan Gao, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Depression recognition over fusion of visual and vocal expression using artificial intelligence
Chandan Gautam, A. Raj, Bhargavee Nemade, et al.
Indonesian Journal of Electrical Engineering and Computer Science (2024) Vol. 34, Iss. 3, pp. 1753-1753
Open Access
CANAMRF: An Attention-Based Model for Multimodal Depression Detection
Yuntao Wei, Yuzhe Zhang, Shuyang Zhang, et al.
Lecture notes in computer science (2023), pp. 111-116
Closed Access
End-to-end multimodal system for depression detection from online recordings
Mateusz Kowalewski, Maciej Stroinski, Kamil Kwarciak, et al.
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2023), pp. 1-4
Closed Access
An Audio Correlation-Based Graph Neural Network for Depression Recognition
Chenjian Sun, Yihong Dong
Lecture notes in computer science (2023), pp. 391-403
Closed Access
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