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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:

Using weak supervision and deep learning to classify clinical notes for identification of current suicidal ideation
Marika Cusick, Prakash Adekkanattu, Thomas R. Campion, et al.
Journal of Psychiatric Research (2021) Vol. 136, pp. 95-102
Open Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

Machine learning and the prediction of suicide in psychiatric populations: a systematic review
Alessandro Pigoni, Giuseppe Delvecchio, Nunzio Turtulici, et al.
Translational Psychiatry (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 20
Artificial Intelligence in Psychiatry: A Review of Biological and Behavioral Data Analyses
Ismail BAYDİLİ, Burak Taşçı, Gülay TAŞCI
Diagnostics (2025) Vol. 15, Iss. 4, pp. 434-434
Open Access | Times Cited: 3
Machine learning vs. rule-based methods for document classification of electronic health records within mental health care—A systematic literature review
Emil Rijcken, Kalliopi Zervanou, Pablo Mosteiro, et al.
Natural Language Processing Journal (2025), pp. 100129-100129
Open Access | Times Cited: 1
Post-discharge suicide prediction among US veterans using natural language processing-enriched social and behavioral determinants of health
Avijit Mitra, Kun Chen, Weisong Liu, et al.
npj Mental Health Research (2025) Vol. 4, Iss. 1
Open Access | Times Cited: 1
Leveraging large language models for knowledge-free weak supervision in clinical natural language processing
Enshuo Hsu, Kirk Roberts
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Suicidal behaviour prediction models using machine learning techniques: A systematic review
Noratikah Nordin, Zurinahni Zainol, Mohd Halim Mohd Noor, et al.
Artificial Intelligence in Medicine (2022) Vol. 132, pp. 102395-102395
Closed Access | Times Cited: 36
Machine learning for suicidal ideation identification: A systematic literature review
Wesllei Felipe Heckler, Juliano Varella de Carvalho, Jorge Luís Victória Barbosa
Computers in Human Behavior (2021) Vol. 128, pp. 107095-107095
Closed Access | Times Cited: 40
Multimodal fusion diagnosis of depression and anxiety based on CNN-LSTM model
Wanqing Xie, Chen Wang, Zhixiong Lin, et al.
Computerized Medical Imaging and Graphics (2022) Vol. 102, pp. 102128-102128
Closed Access | Times Cited: 24
Ontology-driven and weakly supervised rare disease identification from clinical notes
Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 16
Improving ascertainment of suicidal ideation and suicide attempt with natural language processing
Cosmin A. Bejan, Michael Ripperger, Drew Wilimitis, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 22
A machine learning approach to identifying suicide risk among text-based crisis counseling encounters
Meghan Broadbent, Mattia Medina Grespan, Katherine Axford, et al.
Frontiers in Psychiatry (2023) Vol. 14
Open Access | Times Cited: 12
Prediction of suicidal ideation among preadolescent children with machine learning models: A longitudinal study
Chi Yang, E. Scott Huebner, Lili Tian
Journal of Affective Disorders (2024) Vol. 352, pp. 403-409
Closed Access | Times Cited: 4
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
The Goldilocks Zone: Finding the right balance of user and institutional risk for suicide-related generative AI queries
Anna Van Meter, Michael G. Wheaton, Victoria E. Cosgrove, et al.
PLOS Digital Health (2025) Vol. 4, Iss. 1, pp. e0000711-e0000711
Open Access
Risk prediction models for adolescent suicide:a systematic review and meta-analysis
Ruitong Li, Yuchuan Yue, Xiaohua Gu, et al.
Psychiatry Research (2025) Vol. 347, pp. 116405-116405
Closed Access
Validation of a machine learning model for indirect screening of suicidal ideation in the general population
Polona Rus Prelog, Teodora Matić, Peter Pregelj, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Bridging Technical and Clinical needs: A Case Study on Developing a Suicide Risk Prediction Algorithm Using EHR-data in Real-World Mental Health Care (Preprint)
L. Markl Hummel, Karin Lorenz-Artz, Joyce Bierbooms, et al.
(2025)
Closed Access
Artificial Intelligence, Machine Learning Approach and Suicide Prevention: A Qualitative Narrative Review
Sheikh Shoib, Mohd Faizan Siddiqui, Serkan Turan, et al.
Deleted Journal (2025)
Closed Access
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
A review of natural language processing in the identification of suicidal behavior
John Young, Steven Bishop, Carolyn J. Humphrey, et al.
Journal of Affective Disorders Reports (2023) Vol. 12, pp. 100507-100507
Open Access | Times Cited: 9
Innovative Use of Self-Attention-Based Ensemble Deep Learning for Suicide Risk Detection in Social Media Posts
Hoan-Suk Choi, Jinhong Yang
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 893-893
Open Access | Times Cited: 3
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
Extraction of sleep information from clinical notes of Alzheimer’s disease patients using natural language processing
Sonish Sivarajkumar, Thomas Yu Chow Tam, Haneef Ahamed Mohammad, et al.
Journal of the American Medical Informatics Association (2024) Vol. 31, Iss. 10, pp. 2217-2227
Open Access | Times Cited: 3
Weakly supervised spatial relation extraction from radiology reports
Surabhi Datta, Kirk Roberts
JAMIA Open (2023) Vol. 6, Iss. 2
Open Access | Times Cited: 8
Large Language Models as Instructors: A Study on Multilingual Clinical Entity Extraction
Simon Méoni, Éric Villemonte de la Clergerie, Théo Ryffel
(2023), pp. 178-190
Open Access | Times Cited: 8
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