Open Access Helper

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:

Predicting acute suicidal ideation on Instagram using ensemble machine learning models
Damien Lekkas, Robert J. Klein, Nicholas C. Jacobson
Internet Interventions (2021) Vol. 25, pp. 100424-100424
Open Access | Times Cited: 41

Showing 26-50 of 41 citing articles:

Social Media is Addictive and Influences Behavior: Should it Be Regulated as a Digital Therapeutic?
Eric Perakslis, Yuri Quintana
Journal of Medical Internet Research (2022) Vol. 25, pp. e43174-e43174
Open Access | Times Cited: 3
Análisis del Lenguaje Natural para la Identificación de Alteraciones Mentales en Redes Sociales: Una Revisión Sistemática de Estudios
Ismael Leonardo Mieles Toloza, Jesús Armando Delgado Meza
Revista Politécnica (2024) Vol. 53, Iss. 1, pp. 57-72
Open Access
Passive Sensing for the Prediction of Suicidal Thoughts and Behaviors: A Systematic Review and Recommendations for Future Research
Rebekka Büscher, Tanita Winkler, Jacopo Mocellin, et al.
Research Square (Research Square) (2024)
Open Access
Detecting Depressive Symptoms on Social Media: A Comprehensive Review of Methodologies and Strategies for Suicide Prevention
Rajat Kumar Godara, Achyut Mengi, Ankush Sharma, et al.
Lecture notes in networks and systems (2024), pp. 87-100
Closed Access
Detecting suicide risk among U.S. servicemembers and veterans: a deep learning approach using social media data
Kelly L. Zuromski, Daniel M. Low, Noah Jones, et al.
Psychological Medicine (2024), pp. 1-10
Closed Access
Artificial Intelligence-based Suicide Prevention and Prediction: A Systematic Review (2019-2023)
Anirudh Atmakuru, Alen Shahini, Subrata Chakraborty, et al.
Information Fusion (2024), pp. 102673-102673
Closed Access
Improving Suicide Ideation Screening with Machine Learning and Questionnaire Optimization Through Feature Analysis
Ignacio Martínez, César A. Astudillo, Daniel Núñez
Lecture notes in computer science (2024), pp. 233-243
Closed Access
AI and suicide risk prediction: Facebook live and its aftermath
Dolores Peralta
AI & Society (2023) Vol. 39, Iss. 4, pp. 2155-2167
Closed Access | Times Cited: 1
Suicidal Ideation Prediction Using Machine Learning
N. Shanthi, M Muthuraja, C Sharmila, et al.
2022 International Conference on Computer Communication and Informatics (ICCCI) (2023), pp. 1-4
Closed Access | Times Cited: 1
The Accuracy Analysis of Different Machine Learning Classifiers for Detecting Suicidal Ideation and Content
Divya Dewangan, Smita Selot, Sreejit Panicker
Asian Journal of Managerial Science (2023) Vol. 12, Iss. 1, pp. 46-56
Open Access | Times Cited: 1
Suicidal Ideation Detection from Social Media Texts Using an Interpretable Hybrid Model
Nasirul Mumenin, Md. Rubel Basar, A.B.M. Kabir Hossain, et al.
2019 4th International Conference on Electrical Information and Communication Technology (EICT) (2023), pp. 1-6
Closed Access | Times Cited: 1
SOLWOE—A Novel Way to Diagnose Depression Among Teenagers
K. M. Anandkumar, VV Srinivas, J. Jayasurya, et al.
Lecture notes in networks and systems (2023), pp. 589-600
Closed Access
A Linguistic Analysis of Instagram Captions Between Adolescent Suicide Decedents and Living Controls
Alexandra Walker, Ayah Zirikly, Melissa D. Stockbridge, et al.
Crisis (2023) Vol. 45, Iss. 2, pp. 136-143
Closed Access
Suicidal Ideation Detection from social media: A Detailed Review of Machine Learning and Deep Learning
K.Senil Seby, M. Elamparithi, V. Anuratha
International Journal of Membrane Science and Technology (2023) Vol. 10, Iss. 2, pp. 2716-2722
Open Access
An Extensive Diagnosis System of Early Depression Symptoms using Machine Learning Algorithm
K M Anandkumar, S. Ajith, J Bharathkumar, et al.
(2023), pp. 796-803
Closed Access
Social Media are Addictive and Influence Behavior: Should They be Regulated as a Digital Therapeutic? (Preprint)
Eric Perakslis, Yuri Quintana
(2022)
Closed Access
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