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:
Suicide risk level prediction and suicide trigger detection: a benchmark dataset
Jun Li, Xinhong Chen, Zehang Lin, et al.
HKIE Transactions (2022) Vol. 29, Iss. 4, pp. 268-282
Open Access | Times Cited: 8
Jun Li, Xinhong Chen, Zehang Lin, et al.
HKIE Transactions (2022) Vol. 29, Iss. 4, pp. 268-282
Open Access | Times Cited: 8
Showing 8 citing articles:
A survey on detecting mental disorders with natural language processing: Literature review, trends and challenges
Arturo Montejo‐Ráez, M. Dolores Molina-González, Salud María Jiménez-Zafra, et al.
Computer Science Review (2024) Vol. 53, pp. 100654-100654
Open Access | Times Cited: 4
Arturo Montejo‐Ráez, M. Dolores Molina-González, Salud María Jiménez-Zafra, et al.
Computer Science Review (2024) Vol. 53, pp. 100654-100654
Open Access | Times Cited: 4
Large Model Fine-tuning for Suicide Risk Detection Using Iterative Dual-LLM Few-Shot Learning with Adaptive Prompt Refinement for Dataset Expansion
Jingyun Bi, Wenxi Zhu, Jiawei He, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 8520-8526
Closed Access
Jingyun Bi, Wenxi Zhu, Jiawei He, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 8520-8526
Closed Access
Evaluating Transformer Models for Suicide Risk Detection on Social Media
Jakub Pokrywka, Jeremi I. Kaczmarek, Edward J. Gorzelańczyk
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 8566-8573
Open Access
Jakub Pokrywka, Jeremi I. Kaczmarek, Edward J. Gorzelańczyk
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 8566-8573
Open Access
Leveraging Large Language Models for Suicide Detection on Social Media with Limited Labels
Vy Nguyen, Chau Pham
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 8550-8559
Open Access
Vy Nguyen, Chau Pham
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 8550-8559
Open Access
Suicide Risk Assessment on Social Media with Semi-Supervised Learning
Max Lovitt, Hui Ma, Song Wang, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 8541-8549
Closed Access
Max Lovitt, Hui Ma, Song Wang, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 8541-8549
Closed Access
Mental Level Prediction using Long Sentence Discriminators and Language Generation Models
Masahiro Suzuki
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 8574-8580
Closed Access
Masahiro Suzuki
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 8574-8580
Closed Access
Overview of IEEE BigData 2024 Cup Challenges: Suicide Ideation Detection on Social Media
Jun Li, Yifei Yan, Ziyan Zhang, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 8532-8540
Closed Access
Jun Li, Yifei Yan, Ziyan Zhang, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 8532-8540
Closed Access
Text Classification with Limited Training Data: Suicide Risk Detection on Social Media
Stefan Pasch, Jannic Cutura
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 8560-8565
Closed Access
Stefan Pasch, Jannic Cutura
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 8560-8565
Closed Access
