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:

Racial/Ethnic Disparities in the Performance of Prediction Models for Death by Suicide After Mental Health Visits
R. Yates Coley, Eric Johnson, Gregory E. Simon, et al.
JAMA Psychiatry (2021) Vol. 78, Iss. 7, pp. 726-726
Open Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

Suicide and self-harm
Duleeka Knipe, Prianka Padmanathan, Giles Newton‐Howes, et al.
The Lancet (2022) Vol. 399, Iss. 10338, pp. 1903-1916
Open Access | Times Cited: 173

Confronting racially exclusionary practices in the acquisition and analyses of neuroimaging data
Jocelyn A. Ricard, Termara Parker, Elvisha Dhamala, et al.
Nature Neuroscience (2022) Vol. 26, Iss. 1, pp. 4-11
Open Access | Times Cited: 105

Gone Too Soon: priorities for action to prevent premature mortality associated with mental illness and mental distress
Rory C. O’Connor, Carol M. Worthman, Marie Angele Abanga, et al.
The Lancet Psychiatry (2023) Vol. 10, Iss. 6, pp. 452-464
Open Access | Times Cited: 59

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

A Clinician's Guide to Artificial Intelligence (AI): Why and How Primary Care Should Lead the Health Care AI Revolution
Steven Lin
The Journal of the American Board of Family Medicine (2022) Vol. 35, Iss. 1, pp. 175-184
Open Access | Times Cited: 50

The use of advanced technology and statistical methods to predict and prevent suicide
Evan M. Kleiman, Catherine R. Glenn, Richard T. Liu
Nature Reviews Psychology (2023) Vol. 2, Iss. 6, pp. 347-359
Open Access | Times Cited: 29

Racial and Ethnic Bias in Risk Prediction Models for Colorectal Cancer Recurrence When Race and Ethnicity Are Omitted as Predictors
Sara Khor, Eric C. Haupt, Erin E. Hahn, et al.
JAMA Network Open (2023) Vol. 6, Iss. 6, pp. e2318495-e2318495
Open Access | Times Cited: 29

The Lancet Commission on self-harm
Paul Moran, Amy Chandler, Pat Dudgeon, et al.
The Lancet (2024) Vol. 404, Iss. 10461, pp. 1445-1492
Closed Access | Times Cited: 12

Proactive Decision Support for Glaucoma Treatment: Predicting Surgical Interventions with Clinically Available Data
Mark Christopher, Rubèn Gonzàlez, Justin Huynh, et al.
Bioengineering (2024) Vol. 11, Iss. 2, pp. 140-140
Open Access | Times Cited: 8

Assessment of Adherence to Reporting Guidelines by Commonly Used Clinical Prediction Models From a Single Vendor
Jonathan Lu, Alison Callahan, Birju Patel, et al.
JAMA Network Open (2022) Vol. 5, Iss. 8, pp. e2227779-e2227779
Open Access | Times Cited: 36

Implications of conscious AI in primary healthcare
Dorsai Ranjbari, Samira Abbasgholizadeh Rahimi
Family Medicine and Community Health (2024) Vol. 12, Iss. Suppl 1, pp. e002625-e002625
Open Access | Times Cited: 7

Role of machine learning algorithms in suicide risk prediction: a systematic review-meta analysis of clinical studies
Houriyeh Ehtemam, Shabnam Sadeghi Esfahlani, Alireza Sanaei, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 7

Artificial Intelligence-Driven Facial Image Analysis for the Early Detection of Rare Diseases: Legal, Ethical, Forensic, and Cybersecurity Considerations
Peter Kováč, Peter Jackuliak, Alexandra Bražinová, et al.
AI (2024) Vol. 5, Iss. 3, pp. 990-1010
Open Access | Times Cited: 7

Exploration of Race and Ethnicity, Sex, Sport-Related Concussion, Depression History, and Suicide Attempts in US Youth
Shawn R. Eagle, David A. Brent, Tracey Covassin, et al.
JAMA Network Open (2022) Vol. 5, Iss. 7, pp. e2219934-e2219934
Open Access | Times Cited: 27

Complex modeling with detailed temporal predictors does not improve health records-based suicide risk prediction
Susan M. Shortreed, Rod Walker, Eric Johnson, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 16

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

A Critical Review of Text Mining Applications for Suicide Research
Jennifer M. Boggs, Julie M. Kafka
Current Epidemiology Reports (2022) Vol. 9, Iss. 3, pp. 126-134
Open Access | Times Cited: 20

Digital Health Equity: Addressing Power, Usability, and Trust to Strengthen Health Systems
Han Koehle, Clair A. Kronk, Young Ji Lee
Yearbook of Medical Informatics (2022) Vol. 31, Iss. 01, pp. 020-032
Open Access | Times Cited: 20

Validation of a Multivariable Model to Predict Suicide Attempt in a Mental Health Intake Sample
Santiago Papini, Honor Hsin, Patricia Kipnis, et al.
JAMA Psychiatry (2024) Vol. 81, Iss. 7, pp. 700-700
Closed Access | Times Cited: 4

The Algorithmic Divide: A Systematic Review on AI-Driven Racial Disparities in Healthcare
Syed Ali Haider, Sahar Borna, Cesar A. Gomez-Cabello, et al.
Journal of Racial and Ethnic Health Disparities (2024)
Closed Access | Times Cited: 4

Applying analytics to sociodemographic disparities in mental health
Aaron Baird, Yusen Xia
Nature Mental Health (2025) Vol. 3, Iss. 1, pp. 124-138
Closed Access

Harnessing digital health data for suicide prevention and care: A rapid review
Laura Bennett‐Poynter, Sridevi Kundurthi, Reena Besa, et al.
Digital Health (2025) Vol. 11
Open Access

Prediction of Breast Cancer Remission
Vicky Cárdenas, Yalin Li, S Shrestha, et al.
Quality Management in Health Care (2025)
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

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