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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:

Facial expression analysis using Decomposed Multiscale Spatiotemporal Networks
Wheidima Carneiro de Melo, Éric Granger, Miguel Bordallo López
Expert Systems with Applications (2023) Vol. 236, pp. 121276-121276
Open Access | Times Cited: 14

Showing 14 citing articles:

Depression Recognition Using Remote Photoplethysmography From Facial Videos
Constantino Álvarez Casado, Manuel Lage Cañellas, Miguel Bordallo López
IEEE Transactions on Affective Computing (2023) Vol. 14, Iss. 4, pp. 3305-3316
Open Access | Times Cited: 36
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: 5
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
MPDRM: A Multi-Scale Personalized Depression Recognition Model via facial movements
Zhenyu Liu, Bailin Chen, Shimao Zhang, et al.
Neurocomputing (2025), pp. 129669-129669
Closed Access
Attention-Driven Contextual Feature Fusion Network for Facial Videos-Based Depression Recognition
Hanguang Xiao, Xin Liu, Tingting Zhou, et al.
(2025)
Closed Access
LOGLformer: Integrating local and global characteristics for depression scale estimation from facial expressions
Cao Cui, Lang He
Review of Scientific Instruments (2025) Vol. 96, Iss. 3
Closed Access
Three-Stream Convolutional Neural Network for Depression Detection With Ocular Imaging
Minqiang Yang, Ziru Weng, Yuhong Zhang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 4921-4930
Open Access | Times Cited: 9
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: 2
PointTransform Networks for automatic depression level prediction via facial keypoints
Mingyue Niu, Ming Li, Changzeng Fu
Knowledge-Based Systems (2024) Vol. 297, pp. 111951-111951
Closed Access | Times Cited: 1
LMTformer: facial depression recognition with lightweight multi-scale transformer from videos
Lang He, Junnan Zhao, Mingjie Zhang, et al.
Applied Intelligence (2024) Vol. 55, Iss. 3
Closed Access | Times Cited: 1
Multi-geometry embedded transformer for facial expression recognition in videos
Dongliang Chen, Guihua Wen, Huihui Li, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123635-123635
Closed Access
Hierarchical global and local transformer for pain estimation with facial expression videos
Hongrui Liu, Haochen Xu, Jinheng Qiu, et al.
Pattern Analysis and Applications (2024) Vol. 27, Iss. 3
Closed Access
Deep Learning-Based Depression Recognition Through Facial Expression: A Systematic Review
Xiaoming Cao, Lingling Zhai, Pengpeng Zhai, et al.
(2024)
Closed Access
Survey on Pain Detection using Machine Learning Models (Preprint)
Ruijie Fang, Elahe Hosseini, Ruoyu Zhang, et al.
JMIR AI (2024) Vol. 4, pp. e53026-e53026
Open Access
Survey on Pain Detection using Machine Learning Models (Preprint)
Ruijie Fang, Elahe Hosseini, Ruoyu Zhang, et al.
(2023)
Closed Access
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