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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:

Contribution of temporal data to predictive performance in 30-day readmission of morbidly obese patients
Petra Povalej, Zoran Obradović, Gregor Štiglic
PeerJ (2017) Vol. 5, pp. e3230-e3230
Open Access | Times Cited: 11

Showing 11 citing articles:

Application of machine learning in predicting hospital readmissions: a scoping review of the literature
Yinan Huang, Ashna Talwar, Satabdi Chatterjee, et al.
BMC Medical Research Methodology (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 82
Designing risk prediction models for ambulatory no-shows across different specialties and clinics
Xiruo Ding, Ziad F. Gellad, Chad Mather, et al.
Journal of the American Medical Informatics Association (2018) Vol. 25, Iss. 8, pp. 924-930
Open Access | Times Cited: 52
Bayesian hierarchical vector autoregressive models for patient-level predictive modeling
Feihan Lu, Yao Zheng, Harrington H. Cleveland, et al.
PLoS ONE (2018) Vol. 13, Iss. 12, pp. e0208082-e0208082
Open Access | Times Cited: 19
A review of the application of machine learning in adult obesity studies
Mohammad Alkhalaf, Ping Yu, Jun Shen, et al.
Applied Computing and Intelligence (2022) Vol. 2, Iss. 1, pp. 32-48
Open Access | Times Cited: 9
Use of disease embedding technique to predict the risk of progression to end-stage renal disease
Fang Zhou, Avrum Gillespie, Djordje Gligorijevic, et al.
Journal of Biomedical Informatics (2020) Vol. 105, pp. 103409-103409
Open Access | Times Cited: 12
Common sampling and modeling approaches to analyzing readmission risk that ignore clustering produce misleading results
Huaqing Zhao, Samuel Tanner, Sherita Hill Golden, et al.
BMC Medical Research Methodology (2020) Vol. 20, Iss. 1
Open Access | Times Cited: 5
Deep Learning vs Traditional Models for Predicting Hospital Readmission among Patients with Diabetes.
Ameen A Hai, Mark G. Weiner, Anuradha Paranjape, et al.
PubMed (2022) Vol. 2022, pp. 512-521
Closed Access | Times Cited: 2
A Literature Review on Predicting Unplanned Patient Readmissions
Isabella Eigner, Andrew Cooney
Healthcare delivery in the information age (2019), pp. 259-282
Closed Access | Times Cited: 2
Prediction of Early and Long-Term Hospital Readmission in Patients with Severe Obesity: A Retrospective Cohort Study
Fabio Bioletto, Andrea Evangelista, Giovannino Ciccone, et al.
Nutrients (2023) Vol. 15, Iss. 16, pp. 3648-3648
Open Access
Common sampling and modeling approaches to analyzing readmission risk that ignore clustering produce misleading results
Huaqing Zhao, Samuel Tanner, Sherita Hill Golden, et al.
Research Square (Research Square) (2020)
Open Access
Common sampling and modeling approaches to analyzing readmission risk that ignore clustering produce misleading results
Huaqing Zhao, Samuel Tanner, Sherita Hill Golden, et al.
Research Square (Research Square) (2020)
Open Access
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