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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:

Intelligent system for depression scale estimation with facial expressions and case study in industrial intelligence
Lang He, Chenguang Guo, Prayag Tiwari, et al.
International Journal of Intelligent Systems (2021) Vol. 37, Iss. 12, pp. 10140-10156
Open Access | Times Cited: 44

Showing 1-25 of 44 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: 131
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
A sustainable IoHT based computationally intelligent healthcare monitoring system for lung cancer risk detection
Sushruta Mishra, Hiren Kumar Thakkar, Pradeep Kumar Mallick, et al.
Sustainable Cities and Society (2021) Vol. 72, pp. 103079-103079
Open Access | Times Cited: 89
Adaptive Multilayer Perceptual Attention Network for Facial Expression Recognition
Hanwei Liu, Huiling Cai, Qingcheng Lin, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2022) Vol. 32, Iss. 9, pp. 6253-6266
Open Access | Times Cited: 57
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: 29
A multimodal computer-aided diagnostic system for depression relapse prediction using audiovisual cues: A proof of concept
Alice Othmani, Assaad Oussama Zeghina
Healthcare Analytics (2022) Vol. 2, pp. 100090-100090
Open Access | Times Cited: 24
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
DepNet: An automated industrial intelligent system using deep learning for video‐based depression analysis
Lang He, Chenguang Guo, Prayag Tiwari, et al.
International Journal of Intelligent Systems (2021) Vol. 37, Iss. 7, pp. 3815-3835
Open Access | Times Cited: 32
A Model of Normality Inspired Deep Learning Framework for Depression Relapse Prediction Using Audiovisual Data
Alice Othmani, Assaad Oussama Zeghina, Muhammad Muzammel
Computer Methods and Programs in Biomedicine (2022) Vol. 226, pp. 107132-107132
Open Access | Times Cited: 21
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
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
Depressioner: Facial dynamic representation for automatic depression level prediction
Mingyue Niu, Lang He, Ya Li, et al.
Expert Systems with Applications (2022) Vol. 204, pp. 117512-117512
Closed Access | Times Cited: 18
Dual Attention and Element Recalibration Networks for Automatic Depression Level Prediction
Mingyue Niu, Ziping Zhao, Jianhua Tao, et al.
IEEE Transactions on Affective Computing (2022) Vol. 14, Iss. 3, pp. 1954-1965
Open Access | Times Cited: 18
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
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
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
Multi-Attribute Feature-aware Network for Facial Expression Recognition
Wei‐Yen Hsu, Yu-Chieh Chen
ACM Transactions on Multimedia Computing Communications and Applications (2025)
Closed Access
Selective Element and Two Orders Vectorization Networks for Automatic Depression Severity Diagnosis via Facial Changes
Mingyue Niu, Ziping Zhao, Jianhua Tao, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2022) Vol. 32, Iss. 11, pp. 8065-8077
Closed Access | Times Cited: 15
fNIRS-Driven Depression Recognition Based on Cross-Modal Data Augmentation
Kai Shao, Yanjie Liu, Yijun Mo, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 2688-2698
Open Access | Times Cited: 3
A novel multimodal depression diagnosis approach utilizing a new hybrid fusion method
Xiufeng Zhang, Bingyi Li, Guobin Qi
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106552-106552
Closed Access | Times Cited: 2
FacialPulse: An Efficient RNN-based Depression Detection via Temporal Facial Landmarks
Ruiqi Wang, Jinyang Huang, Jie Zhang, et al.
(2024), pp. 311-320
Closed Access | Times Cited: 2
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: 2
An imitation from observation approach for dozing distance learning in autonomous bulldozer operation
Ke You, Lieyun Ding, Quanli Dou, et al.
Advanced Engineering Informatics (2022) Vol. 54, pp. 101735-101735
Closed Access | Times Cited: 10
Graph Attention-Based Curriculum Learning for Mental Healthcare Classification
Usman Ahmed, Jerry Chun‐Wei Lin, Gautam Srivastava
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 5, pp. 2581-2591
Closed Access | Times Cited: 5
A Brief Review of Machine Learning Methods used in Mental Health Research
Veerpal Kaur, Kamali Gupta
(2023), pp. 1-6
Closed Access | Times Cited: 5
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