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:

Machine Learning to Differentiate Risk of Suicide Attempt and Self-harm After General Medical Hospitalization of Women With Mental Illness
Juliet Beni Edgcomb, Rohith Thiruvalluru, Jyotishman Pathak, et al.
Medical Care (2021) Vol. 59, pp. S58-S64
Open Access | Times Cited: 28

Showing 1-25 of 28 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

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: A rapid case for advancement in the personalization of Gynaecology/Obstetric and Mental Health care
Gayathri Delanerolle, Xuzhi Yang, Suchith Shetty, et al.
Women s Health (2021) Vol. 17, pp. 174550652110181-174550652110181
Open Access | Times Cited: 35

Machine Learning-Based Behavioral Diagnostic Tools for Depression: Advances, Challenges, and Future Directions
Thalia Richter, Barak Fishbain, Gal Richter‐Levin, et al.
Journal of Personalized Medicine (2021) Vol. 11, Iss. 10, pp. 957-957
Open Access | Times Cited: 31

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

A Comprehensive Review of Computer-Aided Diagnosis of Major Mental and Neurological Disorders and Suicide: A Biostatistical Perspective on Data Mining
Mahsa Mansourian, Sadaf Khademi, Hamid Reza Marateb
Diagnostics (2021) Vol. 11, Iss. 3, pp. 393-393
Open Access | Times Cited: 16

Enhancing explainability in predicting mental health disorders using human–machine interaction
Inderpreet Kaur, Kamini, Jaskirat Kaur, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 2

Machine Learning Models to Predict Readmission Risk of Patients with Schizophrenia in a Spanish Region
Susel Góngora Alonso, Isabel Herrera Montano, Juan Luis Martín Ayala, et al.
International Journal of Mental Health and Addiction (2023) Vol. 22, Iss. 4, pp. 2508-2527
Closed Access | Times Cited: 6

Assessment of machine learning algorithms in national data to classify the risk of self-harm among young adults in hospital: A retrospective study
Anmol Arora, Louis Bojko, Santosh Kumar, et al.
International Journal of Medical Informatics (2023) Vol. 177, pp. 105164-105164
Open Access | Times Cited: 5

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

Suicide Among Women and the Role of Women’s Health Care Providers
Meaghan Stacy, Mallory Kremer, Jay Schulkin
Obstetrical & Gynecological Survey (2022) Vol. 77, Iss. 5, pp. 293-301
Closed Access | Times Cited: 5

Unravelling psychiatric heterogeneity and predicting suicide attempts in women with trauma-related dissociation using artificial intelligence
Suhas Srinivasan, Nathaniel G. Harnett, Liang Zhang, et al.
European journal of psychotraumatology (2022) Vol. 13, Iss. 2
Open Access | Times Cited: 4

Advancing Knowledge of Suicide Risk and Prevention Among Women
Lauren M. Denneson, Claire A. Hoffmire, John R. Blosnich, et al.
Medical Care (2021) Vol. 59, pp. S1-S3
Open Access | Times Cited: 5

Automatic Decision-Making Style Recognition Method Using Kinect Technology
Yu Guo, Xiaoqian Liu, Xiaoyang Wang, et al.
Frontiers in Psychology (2022) Vol. 13
Open Access | Times Cited: 3

Risk of suicide attempts and self-harm after 1.4 million general medical hospitalizations of men with mental illness
Rohith Thiruvalluru, Juliet Beni Edgcomb, John O. Brooks, et al.
Journal of Psychiatric Research (2022) Vol. 157, pp. 50-56
Open Access | Times Cited: 3

Case Identification of Depression in Inpatient Electronic Medical Records: Scoping Review
Allison Grothman, J William, Kendra G. Tickner, et al.
JMIR Medical Informatics (2024) Vol. 12, pp. e49781-e49781
Open 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

A Review of the Role of Interleukin-2 in the Pathophysiology of Major Depressive Disorder in Hospitalized Patients
Seyed Alireza Seyed Ebrahimi, Elham Karamian, Zahra Sadat Goli, et al.
Hospital Practices and Research (2021) Vol. 6, Iss. 3, pp. 85-92
Open Access | Times Cited: 2

A Mixed Methods Approach Incorporating Text Analytics to Examine Persistence of Depression
Sarah A. Johnson, Andrea Cassells, TJ Lin, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 1

Risk factors for suicide one year after discharge from hospitalization for physical illness in Denmark
Vijaya Seegulam, Péter Szentkúti, Anthony J. Rosellini, et al.
General Hospital Psychiatry (2022) Vol. 79, pp. 76-117
Open Access | Times Cited: 1

Discovery of Intentional Self-Harm Patterns from Suicide and Self-Harm Surveillance Reports
Vuttichai Vichianchai, Sumonta Kasemvilas
Healthcare Informatics Research (2022) Vol. 28, Iss. 4, pp. 319-331
Open Access | Times Cited: 1

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