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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:

Semi-Structural Interview-Based Chinese Multimodal Depression Corpus Towards Automatic Preliminary Screening of Depressive Disorders
Bochao Zou, Jiali Han, Yingxue Wang, et al.
IEEE Transactions on Affective Computing (2022) Vol. 14, Iss. 4, pp. 2823-2838
Closed Access | Times Cited: 22

Showing 22 citing articles:

IIFDD: Intra and inter-modal fusion for depression detection with multi-modal information from Internet of Medical Things
Jian Chen, Yuzhu Hu, Qifeng Lai, et al.
Information Fusion (2023) Vol. 102, pp. 102017-102017
Closed Access | Times Cited: 28
FPT-Former: A Flexible Parallel Transformer of Recognizing Depression by Using Audiovisual Expert-Knowledge-Based Multimodal Measures
Yifu Li, Xueping Yang, Meng Zhao, et al.
International Journal of Intelligent Systems (2024) Vol. 2024, pp. 1-13
Open Access | Times Cited: 4
Improving speech depression detection using transfer learning with wav2vec 2.0 in low-resource environments
Xu Zhang, Xiangcheng Zhang, Weisi Chen, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Sentence-level multi-modal feature learning for depression recognition
Guanghua Zhang, Guangping Zhuo, Yang Yang, et al.
Frontiers in Psychiatry (2025) Vol. 16
Open Access
Sequence Modeling of Passive Sensing Data for Treatment Response Prediction in Major Depressive Disorder
Bochao Zou, Xiaolong Zhang, Le Xiao, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 1786-1795
Open Access | Times Cited: 9
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
Development of multimodal sentiment recognition and understanding
Jianhua Tao, Cunhang Fan, Zheng Lian, et al.
Journal of Image and Graphics (2024) Vol. 29, Iss. 6, pp. 1607-1627
Closed Access | Times Cited: 2
PIE: A Personalized Information Embedded model for text-based depression detection
Yang Wu, Zhenyu Liu, J. Yuan, et al.
Information Processing & Management (2024) Vol. 61, Iss. 6, pp. 103830-103830
Closed Access | Times Cited: 2
Graph Enhanced Low-Resource ECG Representation Learning for Emotion Recognition Based on Wearable Internet of Things
Jian Chen, Yuzhu Hu, Lalit Garg, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 24, pp. 39056-39068
Closed Access | Times Cited: 2
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
Disentangled-Multimodal Privileged Knowledge Distillation for Depression Recognition with Incomplete Multimodal Data
Yuchen Pan, Junjun Jiang, Kui Jiang, et al.
(2024), pp. 5712-5721
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
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
RADIANCE: Reliable and interpretable depression detection from speech using transformer
Anup Kumar Gupta, Ashish Dhamaniya, Puneet Gupta
Computers in Biology and Medicine (2024) Vol. 183, pp. 109325-109325
Closed Access
Analysis of Automated Clinical Depression Diagnosis in a Chinese Corpus
Kaining Mao, Deborah Baofeng Wang, Tiansheng Zheng, et al.
(2023)
Open Access | Times Cited: 1
Analysis of Automated Clinical Depression Diagnosis in a Chinese Corpus
Kaining Mao, Deborah Baofeng Wang, Tiansheng Zheng, et al.
IEEE Transactions on Biomedical Circuits and Systems (2023) Vol. 17, Iss. 5, pp. 1135-1152
Open Access | Times Cited: 1
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
Depression Detection Based on Multilevel Semantic Features
Xingda Yao, Lingkang Ying, Tianxiang He, et al.
Lecture notes in computer science (2024), pp. 44-55
Closed Access
Cross-Cultural Automatic Depression Detection Based on Audio Signals
Danila Mamontov, Sebastian Zepf, Alexey Karpov, et al.
Lecture notes in computer science (2024), pp. 309-323
Closed Access
Analysis of Automated Clinical Depression Diagnosis in a Chinese Corpus
Kaining Mao, Deborah Baofeng Wang, Tiansheng Zheng, et al.
(2023)
Open Access
CANAMRF: An Attention-Based Model for Multimodal Depression Detection
Yuntao Wei, Yuzhe Zhang, Shuyang Zhang, et al.
Lecture notes in computer science (2023), pp. 111-116
Closed Access
Multimodal Depression Detection System Using Machine Learning
Govind Govind, Gunjan Ansari, Alok Sharma, et al.
(2023), pp. 1-7
Closed Access
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