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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:

D-vlog: Multimodal Vlog Dataset for Depression Detection
Jeewoo Yoon, Chaewon Kang, Seungbae Kim, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 11, pp. 12226-12234
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

A Review of Machine Learning and Deep Learning Approaches on Mental Health Diagnosis
Ngumimi Karen Iyortsuun, Soo-Hyung Kim, Min Jhon, et al.
Healthcare (2023) Vol. 11, Iss. 3, pp. 285-285
Open Access | Times Cited: 119
Deep Multimodal Data Fusion
Fei Zhao, Chengcui Zhang, Baocheng Geng
ACM Computing Surveys (2024) Vol. 56, Iss. 9, pp. 1-36
Open Access | Times Cited: 33
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
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: 23
A Systematic Review on Multimodal Emotion Recognition: Building Blocks, Current State, Applications, and Challenges
Sepideh Kalateh, Luis A. Estrada-Jimenez, Sanaz Nikghadam-Hojjati, et al.
IEEE Access (2024) Vol. 12, pp. 103976-104019
Open Access | Times Cited: 17
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
Responsible Artificial Intelligence for Mental Health Disorders: Current Applications and Future Challenges
Shaker El–Sappagh, Waleed Nazih, Meshal Alharbi, et al.
Deleted Journal (2025) Vol. 4, Iss. 1
Closed Access | Times Cited: 1
Machine Learning Techniques to Predict Mental Health Diagnoses: A Systematic Literature Review
Ujunwa Madububambachu, Augustine Ukpebor, U.H. Ihezue
Clinical Practice and Epidemiology in Mental Health (2024) Vol. 20, Iss. 1
Open Access | Times Cited: 6
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
A Facial Expression-Aware Multimodal Multi-task Learning Framework for Emotion Recognition in Multi-party Conversations
Wenjie Zheng, Jianfei Yu, Rui Xia, et al.
(2023), pp. 15445-15459
Open Access | Times Cited: 12
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
TAMFN: Time-Aware Attention Multimodal Fusion Network for Depression Detection
Li Zhou, Zhenyu Liu, Zixuan Shangguan, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 31, pp. 669-679
Open Access | Times Cited: 17
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
An End-to-End framework for extracting observable cues of depression from diary recordings
Izidor Mlakar, Umut Ariöz, Urška Smrke, et al.
Expert Systems with Applications (2024) Vol. 257, pp. 125025-125025
Open Access | Times Cited: 3
Explainable artificial intelligence systems for predicting mental health problems in autistics
El-Sayed Atlam, Mahmoud Rokaya, Mehedi Masud, et al.
Alexandria Engineering Journal (2025) Vol. 117, pp. 376-390
Open Access
Affective Computing for Healthcare: Recent Trends, Applications, Challenges, and Beyond
Ke Wang, Wei Lin, Lavender Liu, et al.
Communications in computer and information science (2025), pp. 3-19
Closed Access
Taking All the Factors We Need: A Multimodal Depression Classification With Uncertainty Approximation
Sabbir Ahmed, Mohammad Abu Yousuf, Muhammad Mostafa Monowar, et al.
IEEE Access (2023) Vol. 11, pp. 99847-99861
Open Access | Times Cited: 8
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
A novel study for depression detecting using audio signals based on graph neural network
Chenjian Sun, Min Jiang, Linlin Gao, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105675-105675
Closed Access | Times Cited: 7
Artificial Intelligence Models to Predict Disability for Mental Health Disorders
Hasan Alkahtani, Theyazn H. H. Aldhyani, Ahmed Abdullah Alqarni
Deleted Journal (2024) Vol. 3, Iss. 3
Open Access | Times Cited: 2
Towards Gender Fairness for Mental Health Prediction
Jiaee Cheong, Selim Kuzucu, Sinan Kalkan, et al.
(2023), pp. 5932-5940
Open Access | Times Cited: 4
LMVD: A Large-Scale Multimodal Vlog Dataset for Depression Detection in the Wild
Lang He, Kai Chen, Junnan Zhao, et al.
(2024)
Open Access | Times Cited: 1
A Survey on Using Linguistic Markers for Diagnosing Neuropsychiatric Disorders with Artificial Intelligence
Ioana-Raluca Zaman, Ştefan Trăuşan-Matu
Information (2024) Vol. 15, Iss. 3, pp. 123-123
Open Access | Times Cited: 1
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
HiQuE: Hierarchical Question Embedding Network for Multimodal Depression Detection
Juho Jung, Chaewon Kang, Jeewoo Yoon, et al.
(2024), pp. 1049-1059
Closed Access | Times Cited: 1
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