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 symptoms modelling from social media text: an LLM driven semi-supervised learning approach
Nawshad Farruque, Randy Goebel, Sudhakar Sivapalan, et al.
Language Resources and Evaluation (2024)
Open Access | Times Cited: 7
Nawshad Farruque, Randy Goebel, Sudhakar Sivapalan, et al.
Language Resources and Evaluation (2024)
Open Access | Times Cited: 7
Showing 7 citing articles:
Integration of Artificial Intelligence and Wearable Internet of Things for Mental Health Detection
Wei Wang, Jian Chen, Yuzhu Hu, et al.
International Journal of Cognitive Computing in Engineering (2024) Vol. 5, pp. 307-315
Open Access | Times Cited: 11
Wei Wang, Jian Chen, Yuzhu Hu, et al.
International Journal of Cognitive Computing in Engineering (2024) Vol. 5, pp. 307-315
Open Access | Times Cited: 11
Intelligent Internet of Medical Things for Depression: Current Advancements, Challenges, and Trends
Md Belal Bin Heyat, Deepak Adhikari, Faijan Akhtar, et al.
International Journal of Intelligent Systems (2025) Vol. 2025, Iss. 1
Open Access | Times Cited: 1
Md Belal Bin Heyat, Deepak Adhikari, Faijan Akhtar, et al.
International Journal of Intelligent Systems (2025) Vol. 2025, Iss. 1
Open Access | Times Cited: 1
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
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
Ismail BAYDİLİ, Burak Taşçı, Gülay TAŞCI
Behavioral Sciences (2025) Vol. 15, Iss. 3, pp. 352-352
Open Access
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
Mahmud Omar, Inbar Levkovich
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
Enhancing suicidal behavior detection in EHRs: A multi-label NLP framework with transformer models and semantic retrieval-based annotation
Kimia Zandbiglari, Shobhan Kumar, Muhammad Bilal, et al.
Journal of Biomedical Informatics (2024), pp. 104755-104755
Closed Access
Kimia Zandbiglari, Shobhan Kumar, Muhammad Bilal, et al.
Journal of Biomedical Informatics (2024), pp. 104755-104755
Closed Access
Finetuning Large Language Models for Suicide Risk Level Assessment on Social Media
Lei Cao, Zihan Wei, Zhigang Wei, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 8527-8531
Closed Access
Lei Cao, Zihan Wei, Zhigang Wei, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 8527-8531
Closed Access
