
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:
A Multi-Class Deep Learning Approach for Early Detection of Depressive and Anxiety Disorders Using Twitter Data
Lamia Bendebane, Zakaria Laboudi, Asma Saighi, et al.
Algorithms (2023) Vol. 16, Iss. 12, pp. 543-543
Open Access | Times Cited: 3
Lamia Bendebane, Zakaria Laboudi, Asma Saighi, et al.
Algorithms (2023) Vol. 16, Iss. 12, pp. 543-543
Open Access | Times Cited: 3
Showing 3 citing articles:
Enhancing Arabic text-to-speech synthesis for emotional expression in visually impaired individuals using the artificial hummingbird and hybrid deep learning model
Mahmoud Selim, Mohammed Assiri
Alexandria Engineering Journal (2025) Vol. 119, pp. 493-502
Closed Access
Mahmoud Selim, Mohammed Assiri
Alexandria Engineering Journal (2025) Vol. 119, pp. 493-502
Closed Access
Defining Signatures for Intelligent Vehicles with Different Types of Powertrains
Arkadiusz Małek, Andrzej Marciniak, Dariusz Kroczyński
World Electric Vehicle Journal (2025) Vol. 16, Iss. 3, pp. 135-135
Open Access
Arkadiusz Małek, Andrzej Marciniak, Dariusz Kroczyński
World Electric Vehicle Journal (2025) Vol. 16, Iss. 3, pp. 135-135
Open Access
Deep Learning-Based Detection of Depression and Suicidal Tendencies in Social Media Data with Feature Selection
Ismail BAYDİLİ, Burak Taşçı, Gülay TAŞCI
Behavioral Sciences (2025) Vol. 15, Iss. 3, pp. 352-352
Open Access
Ismail BAYDİLİ, Burak Taşçı, Gülay TAŞCI
Behavioral Sciences (2025) Vol. 15, Iss. 3, pp. 352-352
Open Access
AutoNLP for Optimal Number of Epochs in Multi-labeled Deep-Learning Models for Predicting Mental Disorders
Lamia Bendebane, Rahimah Zakaria, Asma Saighi
Lecture notes in networks and systems (2024), pp. 246-256
Closed Access
Lamia Bendebane, Rahimah Zakaria, Asma Saighi
Lecture notes in networks and systems (2024), pp. 246-256
Closed Access