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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 1-25 of 41 citing articles:

Linguistic features of suicidal thoughts and behaviors: A systematic review
Stephanie Homan, Marion Gabi, Nina Klee, et al.
Clinical Psychology Review (2022) Vol. 95, pp. 102161-102161
Open Access | Times Cited: 36
The performance of machine learning models in predicting suicidal ideation, attempts, and deaths: A meta-analysis and systematic review
Karen Kusuma, Mark Larsen, Juan C. Quiroz, et al.
Journal of Psychiatric Research (2022) Vol. 155, pp. 579-588
Closed Access | Times Cited: 35
Prediction of suicidal ideation in children and adolescents using machine learning and deep learning algorithm: A case study in South Korea where suicide is the leading cause of death
Soomin Shin, Kyungwon Kim
Asian Journal of Psychiatry (2023) Vol. 88, pp. 103725-103725
Closed Access | Times Cited: 13
A self-attention TCN-based model for suicidal ideation detection from social media posts
Seyedeh Leili Mirtaheri, Sergio Greco, Reza Shahbazian
Expert Systems with Applications (2024) Vol. 255, pp. 124855-124855
Open Access | Times Cited: 5
Ecological Momentary Assessment and Machine Learning for Predicting Suicidal Ideation Among Sexual and Gender Minority Individuals
Lei Chang, Diyang Qu, Kunxu Liu, et al.
JAMA Network Open (2023) Vol. 6, Iss. 9, pp. e2333164-e2333164
Open Access | Times Cited: 11
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
Machine learning applied to digital phenotyping: A systematic literature review and taxonomy
Marília Pit dos Santos, Wesllei Felipe Heckler, Rodrigo Simon Bavaresco, et al.
Computers in Human Behavior (2024) Vol. 161, pp. 108422-108422
Closed Access | Times Cited: 4
A systematic review on passive sensing for the prediction of suicidal thoughts and behaviors
Rebekka Büscher, Tanita Winkler, Jacopo Mocellin, et al.
npj Mental Health Research (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 4
Digital Assessments of Psychiatric Disorders
Rachel Quist, Sukanya Bhattacharya, Sarah M. Chacko, et al.
Oxford University Press eBooks (2025), pp. 967-976
Closed Access
Digital phenotyping for mental health based on data analytics: A systematic literature review
Wesllei Felipe Heckler, Luan Paris Feijó, Juliano Varella de Carvalho, et al.
Artificial Intelligence in Medicine (2025) Vol. 163, pp. 103094-103094
Closed Access
Accelerating the impact of artificial intelligence in mental healthcare through implementation science
Per Nilsén, Petra Svedberg, Jens M. Nygren, et al.
Implementation Research and Practice (2022) Vol. 3
Open Access | Times Cited: 18
Suicide risk detection using artificial intelligence: the promise of creating a benchmark dataset for research on the detection of suicide risk
Mahboobeh Parsapoor, Jacob W. Koudys, Anthony C. Ruocco
Frontiers in Psychiatry (2023) Vol. 14
Open Access | Times Cited: 10
Use of machine learning in the field of prosthetics and orthotics: A systematic narrative review
Yoo Jin Choo, Min Cheol Chang
Prosthetics and Orthotics International (2023) Vol. 47, Iss. 3, pp. 226-240
Closed Access | Times Cited: 9
Artificial Intelligence-Based Suicide Prevention and Prediction: A Systematic Review (2019-2023)
Anirudh Atmakuru, Alen Shahini, Subrata Chakraborty, et al.
(2024)
Closed Access | Times Cited: 3
Building a Natural Language Processing Artificial Intelligence to Predict Suicide-Related Events Based on Patient Portal Message Data
Archis R. Bhandarkar, Namrata Arya, Keldon K. Lin, et al.
Mayo Clinic Proceedings Digital Health (2023) Vol. 1, Iss. 4, pp. 510-518
Open Access | Times Cited: 7
A Systematic Review and Future Perspective of Mental Illness Detection Using Artificial Intelligence on Multimodal Digital Media
U Ananthanagu, Pooja Agarwal
Lecture notes in networks and systems (2023), pp. 35-46
Closed Access | Times Cited: 6
Linguistic correlates of suicidal ideation in youth at clinical high-risk for psychosis
Matthew F. Dobbs, Alessia McGowan, Alexandria Selloni, et al.
Schizophrenia Research (2023) Vol. 259, pp. 20-27
Closed Access | Times Cited: 5
An Investigation of Suicidal Ideation from Social Media Using Machine Learning Approach
Soumyabrata Saha, Suparna DasGupta, Adnan Anam, et al.
Baghdad Science Journal (2023) Vol. 20, Iss. 3(Suppl.), pp. 1164-1164
Open Access | Times Cited: 4
Towards Suicide Prevention from Bipolar Disorder with Temporal Symptom-Aware Multitask Learning
Daeun Lee, Sejung Son, Hyolim Jeon, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 4357-4369
Open Access | Times Cited: 4
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.
(2024)
Open Access | Times Cited: 1
Depression Intensity Classification from Tweets Using FastText Based Weighted Soft Voting Ensemble
Muhammad Rizwan, Muhammad Faheem Mushtaq, Maryam Rafiq, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 78, Iss. 2, pp. 2047-2066
Open Access | Times Cited: 1
Automatically extracting social determinants of health for suicide: a narrative literature review
Annika Marie Schoene, Suzanne Garverich, Iman Ibrahim, et al.
npj Mental Health Research (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 1
Applying ensemble machine learning models to predict individual response to a digitally delivered worry postponement intervention
Joseph A. Gyorda, Matthew D. Nemesure, George Price, et al.
Journal of Affective Disorders (2022) Vol. 320, pp. 201-210
Open Access | Times Cited: 6
How can machine learning identify suicidal ideation from user's texts? Towards the explanation of the Boamente system
Adonias Caetano de Oliveira, Evandro José dos Santos Diniz, Silmar Teixeira, et al.
Procedia Computer Science (2022) Vol. 206, pp. 141-150
Open Access | Times Cited: 5
The application of improving machine learning algorithm and voice technology in the teaching evaluation of ideological and political education
Qimeng Sun
Journal of Computational Methods in Sciences and Engineering (2022) Vol. 22, Iss. 4, pp. 1277-1285
Closed Access | Times Cited: 4
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