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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:

Prospective Validation of an Electronic Health Record–Based, Real-Time Suicide Risk Model
Colin G. Walsh, Kevin B. Johnson, Michael Ripperger, et al.
JAMA Network Open (2021) Vol. 4, Iss. 3, pp. e211428-e211428
Open Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

Translating promise into practice: a review of machine learning in suicide research and prevention
Olivia J Kirtley, Kasper van Mens, Mark Hoogendoorn, et al.
The Lancet Psychiatry (2022) Vol. 9, Iss. 3, pp. 243-252
Open Access | Times Cited: 59
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: 37
Integration of Face-to-Face Screening With Real-time Machine Learning to Predict Risk of Suicide Among Adults
Drew Wilimitis, Robert W. Turer, Michael Ripperger, et al.
JAMA Network Open (2022) Vol. 5, Iss. 5, pp. e2212095-e2212095
Open Access | Times Cited: 36
High dimensional predictions of suicide risk in 4.2 million US Veterans using ensemble transfer learning
Sayera Dhaubhadel, Kumkum Ganguly, Ruy M. Ribeiro, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Behind the Screen: A Narrative Review on the Translational Capacity of Passive Sensing for Mental Health Assessment
Anastasia C. Bryan, Michael V. Heinz, Abigail Salzhauer, et al.
Deleted Journal (2024) Vol. 2, Iss. 2, pp. 778-810
Closed Access | Times Cited: 6
Effects of social deprivation on risk factors for suicidal ideation and suicide attempts in commercially insured US youth and adults
Wenna Xi, Samprit Banerjee, Mark Olfson, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 13
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
Open questions and research gaps for monitoring and updating AI-enabled tools in clinical settings
Sharon E. Davis, Colin G. Walsh, Michael E. Matheny
Frontiers in Digital Health (2022) Vol. 4
Open Access | Times Cited: 19
An efficient landmark model for prediction of suicide attempts in multiple clinical settings
Yi-han Sheu, Jiehuan Sun, Hyunjoon Lee, et al.
Psychiatry Research (2023) Vol. 323, pp. 115175-115175
Open Access | Times Cited: 11
Risk Model–Guided Clinical Decision Support for Suicide Screening
Colin G. Walsh, Michael Ripperger, Laurie L. Novak, et al.
JAMA Network Open (2025) Vol. 8, Iss. 1, pp. e2452371-e2452371
Open Access
Healthcare Resource Allocation, Machine Learning, and Distributive Justice
Jamie Webb
American Philosophical Quarterly (2025) Vol. 62, Iss. 1, pp. 33-52
Closed Access
Applying Large Language Models to Stratify Suicide Risk Using Narrative Clinical Notes
Thomas H. McCoy, Roy H. Perlis
Journal of Mood and Anxiety Disorders (2025), pp. 100109-100109
Open Access
Considerations and Challenges When Using Clinical and Vital Record Review for Suicide Research
Sarah A. Arias, Brandon A. Gaudiano, Gary Epstein‐Lubow, et al.
Journal of Patient Safety (2025)
Closed Access
Continuous time and dynamic suicide attempt risk prediction with neural ordinary differential equations
Yi-han Sheu, Jaak Simm, Bo Wang, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
Suicidal risk in patients with aggression in schizophrenia: a systematic review
L. V. Bravve, Maria Kaydan, G. P. Kostyuk
Frontiers in Psychiatry (2025) Vol. 16
Open Access
Identifying patients at risk of suicide using data from health information exchanges
Shane J. Sacco, Kun Chen, Jun Jin, et al.
BMC Public Health (2025) Vol. 25, Iss. 1
Open Access
Emergency department visits and boarding for pediatric patients with suicidality before and during the COVID-19 pandemic
Amy R. Zipursky, Karen L. Olson, Louisa Bode, et al.
PLoS ONE (2023) Vol. 18, Iss. 11, pp. e0286035-e0286035
Open Access | Times Cited: 10
Machine learning-based prediction model for postoperative delirium in non-cardiac surgery
Dong Yun Lee, Ah Ran Oh, Jungchan Park, et al.
BMC Psychiatry (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 9
Performance of Machine Learning Suicide Risk Models in an American Indian Population
Emily E. Haroz, Paul Rebman, Novalene Goklish, et al.
JAMA Network Open (2024) Vol. 7, Iss. 10, pp. e2439269-e2439269
Open Access | Times Cited: 3
Evaluating predictive artificial intelligence approaches used in mobile health platforms to forecast mental health symptoms among youth: a systematic review
Jamin Patel, Chih-Ching Hung, Tarun Reddy Katapally
Psychiatry Research (2024) Vol. 343, pp. 116277-116277
Open Access | Times Cited: 3
Integrating Social Determinants of Health to Precision Medicine through Digital Transformation: An Exploratory Roadmap
Ik‐Whan G. Kwon, Sung‐Ho Kim, David Bolonio
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 9, pp. 5018-5018
Open Access | Times Cited: 21
Implementing Machine Learning Models for Suicide Risk Prediction in Clinical Practice: Focus Group Study With Hospital Providers
Kate H. Bentley, Kelly L. Zuromski, Rebecca G. Fortgang, et al.
JMIR Formative Research (2022) Vol. 6, Iss. 3, pp. e30946-e30946
Open Access | Times Cited: 13
Deep learning for identifying personal and family history of suicidal thoughts and behaviors from EHRs
Prakash Adekkanattu, Al’ona Furmanchuk, Yonghui Wu, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 2
Evaluation of the Risk Identification for Suicide and Enhanced Care Model in a Native American Community
Emily E. Haroz, Novalene Goklish, Colin G. Walsh, et al.
JAMA Psychiatry (2023) Vol. 80, Iss. 7, pp. 675-675
Open Access | Times Cited: 6
Moving suicide prevention upstream by understanding the effect of flourishing on suicidal ideation in midlife: an instrumental variable approach
Yunyu Xiao, Timothy T. Brown
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 4
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