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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:

Deep Multi-Modal Network Based Automated Depression Severity Estimation
Md Azher Uddin, Joolekha Bibi Joolee, Kyung-Ah Sohn
IEEE Transactions on Affective Computing (2022) Vol. 14, Iss. 3, pp. 2153-2167
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis
Xi Xu, Jianqiang Li, Zhichao Zhu, et al.
Bioengineering (2024) Vol. 11, Iss. 3, pp. 219-219
Open Access | Times Cited: 30
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: 21
Unveiling the prevalence and risk factors of early stage postpartum depression: a hybrid deep learning approach
Umesh Kumar Lilhore, Surjeet Dalal, Neetu Faujdar, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 26, pp. 68281-68315
Closed Access | Times Cited: 19
A multimodal fusion model with multi-level attention mechanism for depression detection
Ming Fang, Siyu Peng, Yujia Liang, et al.
Biomedical Signal Processing and Control (2022) Vol. 82, pp. 104561-104561
Closed Access | Times Cited: 61
Multi-modal Depression Estimation Based on Sub-attentional Fusion
Ping-Cheng Wei, Kunyu Peng, Alina Roitberg, et al.
Lecture notes in computer science (2023), pp. 623-639
Open Access | Times Cited: 20
Depressformer: Leveraging Video Swin Transformer and fine-grained local features for depression scale estimation
Lang He, Zheng Li, Prayag Tiwari, et al.
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106490-106490
Closed Access | Times Cited: 5
Diagnosis of depression based on facial multimodal data
Na Jin, Rongzhen Ye, Peng Li
Frontiers in Psychiatry (2025) Vol. 16
Open Access
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
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
VC-Mamba: Causal Mamba representation consistency for video implicit understanding
Yishan Hu, Jun Zhao, Qi Chen, et al.
Knowledge-Based Systems (2025), pp. 113437-113437
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
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
Semi-Supervised Domain Adaptation for Major Depressive Disorder Detection
Tao Chen, Yanrong Guo, Shijie Hao, et al.
IEEE Transactions on Multimedia (2023) Vol. 26, pp. 3567-3579
Closed Access | Times Cited: 8
Simple But Powerful, a Language-Supervised Method for Image Emotion Classification
Sinuo Deng, Lifang Wu, Ge Shi, et al.
IEEE Transactions on Affective Computing (2022) Vol. 14, Iss. 4, pp. 3317-3331
Closed Access | Times Cited: 11
CloudNet: A LiDAR-Based Face Anti-Spoofing Model That Is Robust Against Light Variation
Yongrae Kim, Hyunmin Gwak, Jaehoon Oh, et al.
IEEE Access (2023) Vol. 11, pp. 16984-16993
Open Access | Times Cited: 6
CSS-Net: A Consistent Segment Selection Network for Audio-Visual Event Localization
Fan Feng, Yue Ming, Nannan Hu, et al.
IEEE Transactions on Multimedia (2023) Vol. 26, pp. 701-713
Closed Access | Times Cited: 5
One for All: A Unified Generative Framework for Image Emotion Classification
Ge Shi, Sinuo Deng, Bo Wang, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2023) Vol. 34, Iss. 8, pp. 7057-7068
Closed Access | Times Cited: 5
WavDepressionNet: Automatic Depression Level Prediction via Raw Speech Signals
Mingyue Niu, Jianhua Tao, Yongwei Li, et al.
IEEE Transactions on Affective Computing (2023) Vol. 15, Iss. 1, pp. 285-296
Closed Access | Times Cited: 4
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
Parallel Multiscale Bridge Fusion Network for Audio-Visual Automatic Depression Assessment
Min Hu, Lei Liu, Xiaohua Wang, et al.
IEEE Transactions on Computational Social Systems (2024) Vol. 11, Iss. 5, pp. 6830-6842
Closed 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
A novel Image-Data-Driven and Frequency-Based method for depression detection
Jian Zhao, Lan Zhang, Yihai Cui, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105248-105248
Closed Access | Times Cited: 3
Uncertainty-Aware Label Contrastive Distribution Learning for Automatic Depression Detection
Biao Yang, Peng Wang, Miaomiao Cao, et al.
IEEE Transactions on Computational Social Systems (2023) Vol. 11, Iss. 2, pp. 2979-2989
Closed Access | Times Cited: 2
Automatic diagnosis of depression based on attention mechanism and feature pyramid model
Ningya Xu, Hua Huo, Jiaxin Xu, et al.
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0295051-e0295051
Open Access
Spontaneous Macro and Micro Facial Expression Recognition Using ResNet50 and VLDSP
John Mendez, Md Azher Uddin, Joolekha Bibi Joolee
Lecture notes in networks and systems (2024), pp. 159-170
Closed Access
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