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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:

Automatic Depression Detection Using Smartphone-Based Text-Dependent Speech Signals: Deep Convolutional Neural Network Approach
Ah Young Kim, Eun Hye Jang, Seung‐Hwan Lee, et al.
Journal of Medical Internet Research (2022) Vol. 25, pp. e34474-e34474
Open Access | Times Cited: 37

Showing 26-50 of 37 citing articles:

A Machine-Learning Model for Detecting Depression, Anxiety, and Stress from Speech
Mashrura Tasnim, Ramon Diaz Ramos, Eleni Stroulia, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 7085-7089
Closed Access
Depression Detection Using Multimodal Analysis with Chatbot Support
A. Sharma, Anuradha Saxena, Ashok Kumar, et al.
(2024), pp. 328-334
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
Integration of basic and clinical researches to develop the biomarker of ‍depression
Shigeo Miyata
Folia Pharmacologica Japonica (2024) Vol. 159, Iss. 5, pp. 311-315
Closed Access
Empowering Women's Mental Health: A Critical Examination Of Depression Detection
P Divya, Reena Devi
(2024), pp. 158-164
Closed Access
A hybrid BERT-CPSO model for multi-class depression detection using pure hindi and hinglish multimodal data on social media
Rohit Beniwal, Pavi Saraswat
Computers & Electrical Engineering (2024) Vol. 120, pp. 109786-109786
Closed Access
Machine Learning Algorithms Applied with Questionnaire Dataset to Investigate Anxiety and Depression
Richa Verma, Gaurav Kumar, Akanksha Yadav
Lecture notes in electrical engineering (2024), pp. 77-91
Closed Access
Isolated Word Recognition and Feature Extraction Using Machine Learning
Davinder Paul Singh, Mahima Rani, Saroj Kumari, et al.
Lecture notes in networks and systems (2024), pp. 31-39
Closed Access
Disease Prediction Using Machine Learning on Smartphone-Based Eye, Skin, and Voice Data: Scoping Review (Preprint)
Research Dawadi, Mai Inoue, J. Tay, et al.
(2024)
Closed Access
FATFA-based DRN: Feedback Artificial Tree Firefly Algorithm-Enabled Deep Residual Network for Pathological Speech Enhancement
Srinivas Katkam
Journal of Networking and Communication Systems (JNACS) (2023) Vol. 6, Iss. 1, pp. 1-16
Open Access
Unleashing the Potential of Convolutional Neural Networks for Automated Depression Detection Using Audio Modality
Jothiga Srinivasan, Anala Jeyendra Sri Vishnu, M Greeshma, et al.
2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA (2023), pp. 1-6
Closed Access
Machine Learning Applications in Depression Research: A Comprehensive Review and Analysis
Omkar S. Bankar, Yogesh M. Rajput, Vidya Kumbhar, et al.
(2023), pp. 1-6
Closed Access
Depression Diagnosis Using Linear Features Based on EEG Signals
Prajakta Naregalkar, Arundhati A. Shinde, M V Patil
(2023), pp. 1-6
Closed Access
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