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:

Deep Learning-Based Depression Detection from Social Media: Comparative Evaluation of ML and Transformer Techniques
Biodoumoye George Bokolo, Qingzhong Liu
Electronics (2023) Vol. 12, Iss. 21, pp. 4396-4396
Open Access | Times Cited: 15

Showing 15 citing articles:

Exploring the efficacy and potential of large language models for depression: A systematic review
Mahmud Omar, Inbar Levkovich
Journal of Affective Disorders (2024)
Closed Access | Times Cited: 8

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

Advancing depression detection on social media platforms through fine-tuned large language models
Shahid Munir Shah, Syeda Anshrah Gillani, Mirza Baig, et al.
Online Social Networks and Media (2025) Vol. 46, pp. 100311-100311
Closed Access

Harnessing large language models over transformer models for detecting Bengali depressive social media text: A comprehensive study
A. K. Azad Chowdhury, Saidur Rahman Sujon, Md. Shirajus Salekin Shafi, et al.
Natural Language Processing Journal (2024) Vol. 7, pp. 100075-100075
Open Access | Times Cited: 4

Exploring the Efficacy and Potential of Large Language Models for Depression: A Systematic Review
Mahmud Omar, Inbar Levkovich
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3

Roberta and BERT: Revolutionizing Mental Healthcare through Natural Language
Arun Singla
(2024) Vol. 1, Iss. 1, pp. 10-27
Open Access | Times Cited: 1

Machine Learning for Depression Detection on Web and Social Media
Lin Gan, Yingqi Guo, Tao Yang
International Journal on Semantic Web and Information Systems (2024) Vol. 20, Iss. 1, pp. 1-28
Open Access

From Data to Diagnosis: Investigating Approaches in Mental Illness Detection
Reem Kadry Montasser, Sherif A. Mazen, Iman M. A. Helal
(2024) Vol. 9, pp. 563-568
Closed Access

Roberta and BERT: Revolutionizing Mental Healthcare Through Natural Language
Sonali Chopra, Parul Agarwal, Jawed Ahmed, et al.
SN Computer Science (2024) Vol. 5, Iss. 7
Closed Access

Aplicações de modelos de linguagem de grande escala no tratamento de depressão: uma revisão sistemática
Marcelino Carmo de Lima, Deller James Ferreira, Eduardo Dias
Journal of Health Informatics (2024) Vol. 16, Iss. Especial
Open Access

Automated Depression Detection Using CNN and Transformer-Based Pre-trained Language Models
N. R. Ramalakshmi, Meghna Ganesh Kumar, S Raghavi
IFIP advances in information and communication technology (2024), pp. 42-53
Closed Access

Artificial Intelligence Technologies in Mental Health
Elvira Nurfadhilah, Ambar Yoganingrum, Andi Djalal Latief, et al.
Advances in computational intelligence and robotics book series (2024), pp. 219-262
Closed Access

The Applications of Large Language Models in Mental Health: A Scoping Review (Preprint)
Yu Jin, Jiayi Liu, Pan Li, et al.
Journal of Medical Internet Research (2024)
Open Access

An Efficient Machine Learning Classification with Feature Selection Techniques for Depression Detection from Social Media
Manish kumar Jha, Rakesh Ranjan, Gireesh Kumar Dixit, et al.
(2023), pp. 481-486
Closed Access

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