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:
Improving suicide risk prediction via targeted data fusion: proof of concept using medical claims data
Wanwan Xu, Chang Su, Yan Li, et al.
Journal of the American Medical Informatics Association (2021) Vol. 29, Iss. 3, pp. 500-511
Open Access | Times Cited: 13
Wanwan Xu, Chang Su, Yan Li, et al.
Journal of the American Medical Informatics Association (2021) Vol. 29, Iss. 3, pp. 500-511
Open Access | Times Cited: 13
Showing 13 citing articles:
Transfer Learning with Large-Scale Quantile Regression
Jun Jin, Jun Yan, Robert H. Aseltine, et al.
Technometrics (2024) Vol. 66, Iss. 3, pp. 381-393
Open Access | Times Cited: 6
Jun Jin, Jun Yan, Robert H. Aseltine, et al.
Technometrics (2024) Vol. 66, Iss. 3, pp. 381-393
Open Access | Times Cited: 6
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
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
Colin G. Walsh, Michael Ripperger, Laurie L. Novak, et al.
JAMA Network Open (2025) Vol. 8, Iss. 1, pp. e2452371-e2452371
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
Shane J. Sacco, Kun Chen, Jun Jin, et al.
BMC Public Health (2025) Vol. 25, Iss. 1
Open Access
Prediction of Medical Disputes Between Health Care Workers and Patients in Terms of Hospital Legal Construction Using Machine Learning Techniques: Externally Validated Cross-Sectional Study
Min Yi, Yuebin Cao, Lin Wang, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e46854-e46854
Open Access | Times Cited: 8
Min Yi, Yuebin Cao, Lin Wang, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e46854-e46854
Open Access | Times Cited: 8
Target-based fusion using social determinants of health to enhance suicide prediction with electronic health records
Shane J. Sacco, Kun Chen, Fei Wang, et al.
PLoS ONE (2023) Vol. 18, Iss. 4, pp. e0283595-e0283595
Open Access | Times Cited: 5
Shane J. Sacco, Kun Chen, Fei Wang, et al.
PLoS ONE (2023) Vol. 18, Iss. 4, pp. e0283595-e0283595
Open Access | Times Cited: 5
Beyond Detection: Towards Actionable Sensing Research in Clinical Mental Healthcare
Daniel A. Adler, Yuewen Yang, Thalia Viranda, et al.
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2024) Vol. 8, Iss. 4, pp. 1-33
Open Access | Times Cited: 1
Daniel A. Adler, Yuewen Yang, Thalia Viranda, et al.
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2024) Vol. 8, Iss. 4, pp. 1-33
Open Access | Times Cited: 1
Machine Learning–Based Suicide Risk Prediction Model for Suicidal Trajectory on Social Media Following Suicidal Mentions: Independent Algorithm Validation
Zachary Kaminsky, Robyn J. McQuaid, Kim Hellemans, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e49927-e49927
Open Access | Times Cited: 1
Zachary Kaminsky, Robyn J. McQuaid, Kim Hellemans, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e49927-e49927
Open Access | Times Cited: 1
Evaluation of deep learning-based depression detection using medical claims data
Markus Bertl, Nzamba Bignoumba, Peeter Ross, et al.
Artificial Intelligence in Medicine (2023) Vol. 147, pp. 102745-102745
Closed Access | Times Cited: 2
Markus Bertl, Nzamba Bignoumba, Peeter Ross, et al.
Artificial Intelligence in Medicine (2023) Vol. 147, pp. 102745-102745
Closed Access | Times Cited: 2
Randomized Controlled Comparative Effectiveness Trial of Risk Model-Guided Clinical Decision Support for Suicide Screening
Colin G. Walsh, Michael Ripperger, Laurie L. Novak, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Colin G. Walsh, Michael Ripperger, Laurie L. Novak, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Accuracy and transportability of machine learning models for adolescent suicide prediction with longitudinal clinical records
Chengxi Zang, Yu Hou, Daoming Lyu, et al.
Translational Psychiatry (2024) Vol. 14, Iss. 1
Open Access
Chengxi Zang, Yu Hou, Daoming Lyu, et al.
Translational Psychiatry (2024) Vol. 14, Iss. 1
Open Access
Addressing Consequential Public Health Problems Through Informatics and Data Science
Suzanne Bakken
Journal of the American Medical Informatics Association (2021) Vol. 29, Iss. 3, pp. 413-414
Open Access | Times Cited: 1
Suzanne Bakken
Journal of the American Medical Informatics Association (2021) Vol. 29, Iss. 3, pp. 413-414
Open Access | Times Cited: 1
Accuracy and generalizability of machine learning models for adolescent suicide prediction with longitudinal clinical records
Chengxi Zang, Yu Hou, Jun Jin, et al.
Research Square (Research Square) (2023)
Open Access
Chengxi Zang, Yu Hou, Jun Jin, et al.
Research Square (Research Square) (2023)
Open Access
Predicting line of therapy transition via similar patient augmentation
Suhan Cui, Guanhao Wei, Li Zhou, et al.
Journal of Biomedical Informatics (2023) Vol. 147, pp. 104511-104511
Closed Access
Suhan Cui, Guanhao Wei, Li Zhou, et al.
Journal of Biomedical Informatics (2023) Vol. 147, pp. 104511-104511
Closed Access
