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:

Prediction of Depression Severity Based on the Prosodic and Semantic Features With Bidirectional LSTM and Time Distributed CNN
Kaining Mao, Wei Zhang, Deborah Baofeng Wang, et al.
IEEE Transactions on Affective Computing (2022) Vol. 14, Iss. 3, pp. 2251-2265
Open Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis
Xi Xu, Jianqiang Li, Zhichao Zhu, et al.
Bioengineering (2024) Vol. 11, Iss. 3, pp. 219-219
Open Access | Times Cited: 37

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 multimodal fusion model with multi-level attention mechanism for depression detection
Ming Fang, Siyu Peng, Yujia Liang, et al.
Biomedical Signal Processing and Control (2022) Vol. 82, pp. 104561-104561
Closed Access | Times Cited: 62

Depression Detection in Speech Using Transformer and Parallel Convolutional Neural Networks
Faming Yin, Jing Du, Xinzhou Xu, et al.
Electronics (2023) Vol. 12, Iss. 2, pp. 328-328
Open Access | Times Cited: 27

Multimodal Data Fusion for Depression Detection Approach
Mariia Nykoniuk, Oleh Basystiuk, Nataliya Shakhovska, et al.
Computation (2025) Vol. 13, Iss. 1, pp. 9-9
Open Access | Times Cited: 1

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

Ultrasonic lamination defects detection of carbon fiber composite plates based on multilevel LSTM
Fengyi Zhang, Lihua Wang, Wenjing Ye, et al.
Composite Structures (2023) Vol. 327, pp. 117714-117714
Closed Access | Times Cited: 16

Optimizing depression detection in clinical doctor-patient interviews using a multi-instance learning framework
Xu Zhang, Chenlong Li, Weisi Chen, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Towards automatic text-based estimation of depression through symptom prediction
Kirill Milintsevich, Kairit Sirts, Gaël Dias
Brain Informatics (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 10

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

Speech Emotion Recognition in Mental Health: A Systematic Review of Voice Based Applications (Preprint)
Eric Jordan, Motasem Alrahabi, Julien Desclés, et al.
(2025)
Closed Access

Depression level prediction via textual and acoustic analysis
Jau‐Shyong Hong, Ji Hun Lee, Daegil Choi, et al.
Computers in Biology and Medicine (2025) Vol. 190, pp. 110009-110009
Closed Access

Multimodal depression recognition based on gait and rating scale
Xiaotong Liu, Min Ren, Xuecai Hu, et al.
Expert Systems with Applications (2025) Vol. 278, pp. 127285-127285
Closed Access

Detecting Depression With Heterogeneous Graph Neural Network in Clinical Interview Transcript
Mingzheng Li, Xiao Sun, Meng Wang
IEEE Transactions on Computational Social Systems (2023) Vol. 11, Iss. 1, pp. 1315-1324
Closed Access | Times Cited: 8

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

Text-guided multimodal depression detection via cross-modal feature reconstruction and decomposition
Z Chen, Dandan Wang, Liangliang Lou, et al.
Information Fusion (2024), pp. 102861-102861
Closed Access | Times Cited: 3

Systematic review of machine learning in PTSD studies for automated diagnosis evaluation
Yuqi Wu, Kaining Mao, Liz Dennett, et al.
npj Mental Health Research (2023) Vol. 2, Iss. 1
Open Access | Times Cited: 8

Spatiotemporal prediction of surface roughness evolution of C/C composites based on recurrent neural network
Tong Shang, Jingran Ge, Jing Yang, et al.
Composites Part A Applied Science and Manufacturing (2024) Vol. 186, pp. 108429-108429
Closed Access | Times Cited: 2

Explainable Multi-Layer Dynamic Ensemble Framework Optimized for Depression Detection and Severity Assessment
Dillan Imans, Tamer Abuhmed, Meshal Alharbi, et al.
Diagnostics (2024) Vol. 14, Iss. 21, pp. 2385-2385
Open Access | Times Cited: 2

A Network Security Situation Prediction Method through the Use of Improved TCN and BiDLSTM
Chengpeng Yao, Yu Yang, Jinwei Yang, et al.
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 8

Hybrid Approach for Enhanced Depression Detection using Learning Techniques
Ganesh D. Jadhav, Sachin D. Babar, Parikshit N. Mahalle
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 4
Open Access | Times Cited: 1

Hypergraph Neural Network for Multimodal Depression Recognition
Xiaolong Li, Yang Dong, Yunfei Yi, et al.
Electronics (2024) Vol. 13, Iss. 22, pp. 4544-4544
Open Access | Times Cited: 1

A psychologically interpretable artificial intelligence framework for the screening of loneliness, depression, and anxiety
Feng Liu, Peiwan Wang, Jingyi Hu, et al.
Applied Psychology Health and Well-Being (2024) Vol. 17, Iss. 1
Closed Access | Times Cited: 1

Emotion-Recognition Algorithm Based on Weight-Adaptive Thought of Audio and Video
Yongjian Cheng, Dongmei Zhou, Siqi Wang, et al.
Electronics (2023) Vol. 12, Iss. 11, pp. 2548-2548
Open Access | Times Cited: 3

A Multimodal Fusion Model with Multi-Level Attention Mechanism for Depression Detection
Ming Fang, Siyu Peng, Yujia Liang, et al.
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 4

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