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:

A Deep Multiscale Spatiotemporal Network for Assessing Depression From Facial Dynamics
Wheidima Carneiro de Melo, Éric Granger, Abdenour Hadid
IEEE Transactions on Affective Computing (2020) Vol. 13, Iss. 3, pp. 1581-1592
Open Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

Deep learning for depression recognition with audiovisual cues: A review
Lang He, Mingyue Niu, Prayag Tiwari, et al.
Information Fusion (2021) Vol. 80, pp. 56-86
Open Access | Times Cited: 132

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

SAM: Self-augmentation mechanism for COVID-19 detection using chest X-ray images
Usman Muhammad, Md Ziaul Hoque, Mourad Oussalah, et al.
Knowledge-Based Systems (2022) Vol. 241, pp. 108207-108207
Open Access | Times Cited: 39

Depression Recognition From EEG Signals Using an Adaptive Channel Fusion Method via Improved Focal Loss
Jian Shen, Yanan Zhang, Huajian Liang, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 7, pp. 3234-3245
Closed Access | Times Cited: 38

PRA-Net: Part-and-Relation Attention Network for depression recognition from facial expression
Zhenyu Liu, Xiaoyan Yuan, Yutong Li, et al.
Computers in Biology and Medicine (2023) Vol. 157, pp. 106589-106589
Closed Access | Times Cited: 30

Spatial–Temporal Attention Network for Depression Recognition from facial videos
Yuchen Pan, Yuanyuan Shang, Tie Liu, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121410-121410
Closed Access | Times Cited: 29

MTDAN: A Lightweight Multi-Scale Temporal Difference Attention Networks for Automated Video Depression Detection
Shiqing Zhang, Xingnan Zhang, Xiaoming Zhao, et al.
IEEE Transactions on Affective Computing (2023) Vol. 15, Iss. 3, pp. 1078-1089
Closed Access | Times Cited: 24

A hierarchical depression detection model based on vocal and emotional cues
Yizhuo Dong, Xinyu Yang
Neurocomputing (2021) Vol. 441, pp. 279-290
Closed Access | Times Cited: 52

End-to-end multimodal clinical depression recognition using deep neural networks: A comparative analysis
Muhammad Muzammel, Hanan Salam, Alice Othmani
Computer Methods and Programs in Biomedicine (2021) Vol. 211, pp. 106433-106433
Open Access | Times Cited: 52

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

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: 17

Integrating Deep Facial Priors Into Landmarks for Privacy Preserving Multimodal Depression Recognition
Yuchen Pan, Yuanyuan Shang, Zhuhong Shao, et al.
IEEE Transactions on Affective Computing (2023) Vol. 15, Iss. 3, pp. 828-836
Closed Access | Times Cited: 16

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

AutoDep: automatic depression detection using facial expressions based on linear binary pattern descriptor
Manjunath Tadalagi, Amit M. Joshi
Medical & Biological Engineering & Computing (2021) Vol. 59, Iss. 6, pp. 1339-1354
Closed Access | Times Cited: 31

Reducing noisy annotations for depression estimation from facial images
Lang He, Prayag Tiwari, Chonghua Lv, et al.
Neural Networks (2022) Vol. 153, pp. 120-129
Closed Access | Times Cited: 19

Enhancing multimodal depression diagnosis through representation learning and knowledge transfer
Shanliang Yang, Lichao Cui, Lei Wang, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e25959-e25959
Open Access | Times Cited: 4

Early detection of depression through facial expression recognition and electroencephalogram-based artificial intelligence-assisted graphical user interface
Gajendra Kumar, Tanaya Das, Kuldeep Singh
Neural Computing and Applications (2024) Vol. 36, Iss. 12, pp. 6937-6954
Closed Access | Times Cited: 4

Robotics Utilization in Automatic Vision-Based Assessment Systems From Artificial Intelligence Perspective: A Systematic Review
Rafeef Fauzi Najim Alshammari, Haslina Arshad, Abdul Hadi Abd Rahman, et al.
IEEE Access (2022) Vol. 10, pp. 77537-77570
Open Access | Times Cited: 18

Privileged Knowledge Distillation for Dimensional Emotion Recognition in the Wild
Muhammad Haseeb Aslam, Muhammad Zeeshan, Marco Pedersoli, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2023), pp. 3338-3347
Closed Access | Times Cited: 10

Resnet 152 convolutional adaptive spiral flying sparrow search neural network for image enhancement of video surveillance scene
J. Angel Ida Chellam, P. Malliga, M Mathankumar, et al.
Signal Image and Video Processing (2025) Vol. 19, Iss. 3
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

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

Depression and anxiety detection method based on serialized facial expression imitation
Lin Lü, Yan Jiang, LI Xing-yun, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 149, pp. 110354-110354
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

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