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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:

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

Showing 20 citing articles:

Two Birds With One Stone: Knowledge-Embedded Temporal Convolutional Transformer for Depression Detection and Emotion Recognition
Wenbo Zheng, Lan Yan, Fei‐Yue Wang
IEEE Transactions on Affective Computing (2023) Vol. 14, Iss. 4, pp. 2595-2613
Closed Access | Times Cited: 25
Attention guided learnable time-domain filterbanks for speech depression detection
Wenju Yang, Jiankang Liu, Peng Cao, et al.
Neural Networks (2023) Vol. 165, pp. 135-149
Closed Access | Times Cited: 17
Additive Cross-Modal Attention Network (ACMA) for Depression Detection Based on Audio and Textual Features
Ngumimi Karen Iyortsuun, Soo-Hyung Kim, Hyung-Jeong Yang, et al.
IEEE Access (2024) Vol. 12, pp. 20479-20489
Open Access | Times Cited: 6
Reading Between the Frames: Multi-modal Depression Detection in Videos from Non-verbal Cues
David Gimeno-Gómez, Ana-Maria Bucur, Adrian Cosma, et al.
Lecture notes in computer science (2024), pp. 191-209
Closed Access | Times Cited: 3
Automated Diagnosis of Major Depressive Disorder With Multi-Modal MRIs Based on Contrastive Learning: A Few-Shot Study
Tongtong Li, Yuhui Guo, Ziyang Zhao, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 1566-1576
Open Access | Times Cited: 3
Automatic depression prediction via cross-modal attention-based multi-modal fusion in social networks
Lidong Wang, Yin Zhang, Bin Zhou, et al.
Computers & Electrical Engineering (2024) Vol. 118, pp. 109413-109413
Closed Access | Times Cited: 2
A Hybrid Model for Depression Detection With Transformer and Bi-directional Long Short-Term Memory
Yazhou Zhang, Yu He, Rong Lu, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2022), pp. 2727-2734
Closed Access | Times Cited: 10
MDAVIF: A Multi-Domain Acoustical-Visual Information Fusion Model for Depression Recognition from Vlog Data
Tianfei Ling, Deyuan Chen, Baobin Li
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 8115-8119
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
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
A Depression Recognition Method Based on the Alteration of Video Temporal Angle Features
Zhiqiang Ding, Yahong Hu, Runhui Jing, et al.
Applied Sciences (2023) Vol. 13, Iss. 16, pp. 9230-9230
Open Access | Times Cited: 2
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
Multimodal Depression Detection Network Based on Emotional and Behavioral Features in Conversations
Peng Wang, Biao Yang, Suhong Wang, et al.
Communications in computer and information science (2024), pp. 463-474
Closed Access
Depression Classification Using Token Merging-Based Speech Spectrotemporal Transformer
Lokesh Kumar, Kumar Kaustubh, S. R. Mahadeva Prasanna
Lecture notes in computer science (2024), pp. 324-335
Closed Access
Systematic Literature Review of Transformer Model Implementations in Detecting Depression
Kenjovan Nanggala, Gregorius Natanael Elwirehardja, Bens Pardamean
2021 4th International Conference of Computer and Informatics Engineering (IC2IE) (2023), pp. 203-208
Closed Access | Times Cited: 1
A Multimodal Fusion Model for Depression Detection Assisted by Stacking DNNs
Filipe Fontinele de Almeida, Kelson Aires, André Soares, et al.
(2024)
Open Access
Deep multi-task learning based detection of correlated mental disorders using audio modality
Rohan Kumar Gupta, Rohit Sinha
Computer Speech & Language (2024) Vol. 89, pp. 101710-101710
Closed Access
Detecção Automática da Depressão Assistida por Stacking DNNs em Dados de Descritores de Características Visuais
Filipe Fontinele de Almeida, André Soares, Laurindo de Sousa Britto Neto, et al.
(2023), pp. 150-161
Open Access
Exploring Recurrent Neural Network Models for Depression Detection Through Facial Expressions: A Systematic Literature Review
Brilyan Nathanael Rumahorbo, Bens Pardamean, Gregorius Natanael Elwirehardja
2021 4th International Conference of Computer and Informatics Engineering (IC2IE) (2023), pp. 209-214
Closed Access
Gaze Behavior based Depression Severity Estimation
Tao Shu, Feixiang Zhang, Xiao Sun
(2023), pp. 313-319
Closed Access
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