Upload Records Snowball Search Search OpenAlex
About the database ScholarIQanswers from OpenAlex & ORCID
Ning Hua
ResearcherPublications, citations & collaboration network
Ning Hua is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 10 works, 297 citations, an h-index of 6 and an i10-index of 6.
10
Works
297
Citations
6
h-index
6
i10-index
IDs:OpenAlex
How has Ning Hua's publication output changed over time?
ScholarIQpublication output · 2008–2020
Output declined50% over the shown period — from 2 works in 2008 to 1 in 2020.
2
1
1
1
4
1
200820102015201620192020
What are the most-cited papers on Ning Hua?
ScholarIQmost cited works
Physician understanding, explainability, and trust in a hypothetical machine learning risk calculator
William K. Diprose, Nicholas Buist, Ning Hua, Quentin Thurier, G. B. Shand, R. R. Rejimol Robinson
Journal of the American Medical Informatics Association. 2019199 CitationsOPEN ACCESS
Machine learning methods for GEFCom2017 probabilistic load forecasting
Slawek Smyl, Ning Hua
S39841227. 201929 Citations
Analytical insights into two-stage serial line supply chain safety stock
Ning Hua, Sean P. Willems
S184816971. 201524 Citations
Machine Learning-based Risk of Hospital Readmissions: Predicting Acute Readmissions within 30 Days of Discharge
Mirza Mansoor Baig, Ning Hua, Edmond Zhang, R. R. Rejimol Robinson, Delwyn Armstrong, Robyn Whittaker, Tom Robinson, Farhaan Mirza, Ehsan Ullah
201917 Citations
A machine learning model for predicting risk of hospital readmission within 30 days of discharge: validated with LACE index and patient at risk of hospital readmission (PARR) model
Mirza Mansoor Baig, Ning Hua, Edmond Zhang, R. R. Rejimol Robinson, Anna Spyker, Delwyn Armstrong, Robyn Whittaker, Tom Robinson, Ehsan Ullah
Medical & Biological Engineering & Computing. 202013 Citations
Related on ScholarIQ
Physician understanding, explainability, and trust in a hypothetical machine learning risk calculator
Paper
Machine learning methods for GEFCom2017 probabilistic load forecasting
Paper
Analytical insights into two-stage serial line supply chain safety stock
Paper
Machine Learning-based Risk of Hospital Readmissions: Predicting Acute Readmissions within 30 Days of Discharge
Paper
A machine learning model for predicting risk of hospital readmission within 30 days of discharge: validated with LACE index and patient at risk of hospital readmission (PARR) model
Paper
Optimally configuring a two-stage serial line supply chain under the guaranteed service model
Paper