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:

Depression Speech Recognition With a Three-Dimensional Convolutional Network
Hongbo Wang, Yu Liu, Xiaoxiao Zhen, et al.
Frontiers in Human Neuroscience (2021) Vol. 15
Open Access | Times Cited: 19

Showing 19 citing articles:

A machine learning based depression screening framework using temporal domain features of the electroencephalography signals
Sheharyar Khan, Sanay Muhammad Umar Saeed, Jaroslav Frnda, et al.
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0299127-e0299127
Open Access | Times Cited: 6

Hybrid RMDL-CNN for speech recognition from unclear speech signal
Raja Bhargava, N. Arivazhagan, Kunchala Suresh Babu
International Journal of Speech Technology (2025)
Closed Access

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

Fusing Multi-Level Features from Audio and Contextual Sentence Embedding from Text for Interview-Based Depression Detection
Junqi Xue, Ruihan Qin, Xinxu Zhou, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 6790-6794
Closed Access | Times Cited: 2

Speechformer-CTC: Sequential modeling of depression detection with speech temporal classification
Jinhan Wang, Vijay Ravi, Jonathan Flint, et al.
Speech Communication (2024) Vol. 163, pp. 103106-103106
Open Access | Times Cited: 2

Ensemble learning with speaker embeddings in multiple speech task stimuli for depression detection
Zhenyu Liu, Huimin Yu, Gang Li, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 6

Arabic Speech Analysis for Classification and Prediction of Mental Illness due to Depression Using Deep Learning
Tanzila Saba, Amjad Rehman, Ibrahim Abunadi, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 9

Depression detection using cascaded attention based deep learning framework using speech data
Sachi Gupta, Gaurav Agarwal, Shivani Agarwal, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 25, pp. 66135-66173
Closed Access | Times Cited: 1

Depression Symptom Identification Through Acoustic Speech Analysis: A Transfer Learning Approach
Purude Vaishali Narayanrao, Kshiraja Kohirker, Tadakamalla Shyam Preeth, et al.
Traitement du signal (2024) Vol. 41, Iss. 1, pp. 165-177
Open Access | Times Cited: 1

Investigating Graph-based Features for Speech Emotion Recognition
Anastasia Pentari, George P. Kafentzis, Manolis Tsiknakis
IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...) (2022) Vol. 9, pp. 01-05
Closed Access | Times Cited: 5

Speech Recognition-Based Prediction for Mental Health and Depression: A Review
Priti Parag Gaikwad, M. Venkatesan
Smart innovation, systems and technologies (2023), pp. 13-24
Closed Access | Times Cited: 2

[A research on depression recognition based on voice pre-training model].
Xiangsheng Huang, Yilong Liao, Wenjing Zhang, et al.
PubMed (2024) Vol. 41, Iss. 1, pp. 9-16
Closed Access

Identification of Depression from the Speech of a Person
Rutik Deshmukh -, Supriya Lande -, Onkar Bhosale -, et al.
International Journal For Multidisciplinary Research (2024) Vol. 6, Iss. 2
Open Access

A Comprehensive Analysis of Speech Depression Recognition Systems
Ali Hassan, Shonda Bernadin
SoutheastCon (2024), pp. 1509-1518
Closed Access

Speechformer-Ctc: Sequential Modeling of Depression Detection with Speech Temporal Classification
Jinhan Wang, Vijay Ravi, Jonathan Flint, et al.
(2024)
Closed Access

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

Speech Detection of Depression Based on Multi-mlp
Qingxiang Wang, Ningyu Liu
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2022), pp. 3896-3898
Closed Access | Times Cited: 2

Towards AST-LLDs for the Analysis of Depression in Speech Signals
Sidharrth Nagappan, Chern Hong Lim, Anuja Dharmaratne
2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) (2023), pp. 1323-1328
Closed Access

Depression Detection by Person’s Voice
Evgeniya Zavorina, Ilya Makarov
Lecture notes in computer science (2022), pp. 250-262
Closed Access

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