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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:

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

Showing 23 citing articles:

MAST-GCN: Multi-Scale Adaptive Spatial-Temporal Graph Convolutional Network for EEG-Based Depression Recognition
Haifeng Lu, Zhiyang You, Yi Guo, et al.
IEEE Transactions on Affective Computing (2024) Vol. 15, Iss. 4, pp. 1985-1996
Closed Access | Times Cited: 6
Heart Sound Abnormality Detection From Multi-Institutional Collaboration: Introducing a Federated Learning Framework
Wanyong Qiu, Quan Chen, Lixian Zhu, et al.
IEEE Transactions on Biomedical Engineering (2024) Vol. 71, Iss. 10, pp. 2802-2813
Closed Access | Times Cited: 5
HEMAsNet: A Hemisphere Asymmetry Network Inspired by the Brain for Depression Recognition From Electroencephalogram Signals
Jian Shen, Kunlin Li, Huajian Liang, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 9, pp. 5247-5259
Closed Access | Times Cited: 4
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
C2F-Explainer: Explaining Transformers Better Through a Coarse-to-Fine Strategy
Weiping Ding, Xiaotian Cheng, Yu Geng, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 12, pp. 7708-7724
Closed Access | Times Cited: 3
LSCAformer: Long and short-term cross-attention-aware transformer for depression recognition from video sequences
Lang He, Zheng Li, Prayag Tiwari, et al.
Biomedical Signal Processing and Control (2024) Vol. 98, pp. 106767-106767
Closed Access | Times Cited: 3
An Enhanced Cross‐Attention Based Multimodal Model for Depression Detection
Yifan Kou, Fangzhen Ge, Debao Chen, et al.
Computational Intelligence (2025) Vol. 41, Iss. 1
Closed Access
DepITCM: an audio-visual method for detecting depression
Lishan Zhang, Zhenhua Liu, Yumei Wan, et al.
Frontiers in Psychiatry (2025) Vol. 15
Open Access
Joint probabilistic modeling analysis of head and eye behaviors in autism spectrum disorder children based on a social interaction paradigm
Tao Su, Minqiang Yang, Wei Zhou, et al.
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107669-107669
Closed Access
Semantic distillation and enhanced diagnostic alignment: A novel approach for depression detection in social media
Yu Su, Xiangyu Zheng, Junyu Lu, et al.
Expert Systems with Applications (2025), pp. 127346-127346
Closed Access
Digital Maturity and AI: Ethical Considerations for Hospital Management
Eduard Buzila, Francisco Gil Rodríguez
(2025), pp. 369-383
Closed Access
Suicide ideation detection based on documents dimensionality expansion
Nima Esmi, Asadollah Shahbahrami, Georgi Gaydadjiev, et al.
Computers in Biology and Medicine (2025) Vol. 192, pp. 110266-110266
Open Access
Federated Abnormal Heart Sound Detection with Weak to No Labels
Wanyong Qiu, Quan Chen, Yongzi Yu, et al.
Cyborg and Bionic Systems (2024) Vol. 5
Open Access | Times Cited: 3
Semi-supervised pairwise transfer learning based on multi-source domain adaptation: A case study on EEG-based emotion recognition
Chao Ren, Jinbo Chen, Rui Li, et al.
Knowledge-Based Systems (2024) Vol. 305, pp. 112669-112669
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
Natural Language Processing for Depression Prediction on Sina Weibo: Method Study and Analysis
Zhenwen Zhang, Jianghong Zhu, Zhihua Guo, et al.
JMIR Mental Health (2024) Vol. 11, pp. e58259-e58259
Open Access | Times Cited: 1
Enhancing multimodal depression detection with intra- and inter-sample contrastive learning
Meiling Li, Yuting Wei, Yangfu Zhu, et al.
Information Sciences (2024) Vol. 684, pp. 121282-121282
Closed Access | Times Cited: 1
Enhanced RT-DETR for Traffic Sign Detection:Small Object Precision and Lightweight Design
Li Lü, Xiang Li, Yuan Wu, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
An historical overview of artificial intelligence for diagnosis of major depressive disorder
Hao Liu, Hairong Wu, Zhongli Yang, et al.
Frontiers in Psychiatry (2024) Vol. 15
Open Access | Times Cited: 1
Behavioral Information Feedback With Large Language Models for Mental Disorders: Perspectives and Insights
Minqiang Yang, Yongfeng Tao, Hanshu Cai, et al.
IEEE Transactions on Computational Social Systems (2024) Vol. 11, Iss. 3, pp. 3026-3044
Closed Access
Fed-MStacking: Heterogeneous Federated Learning With Stacking Misaligned Labels for Abnormal Heart Sound Detection
Wanyong Qiu, Yifan Feng, Yuying Li, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 9, pp. 5055-5066
Closed 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
EMO-Mamba: Multimodal Selective Structured State Space Model for Depression Detection
Tao Xing, Yutao Dou, Xiaolan Xie, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2024), pp. 2726-2731
Closed Access
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