ResearcherID Thomson Reuters  

Liu, Yaning
Create a ResearcherID badge for this researcher View publications analytics for this researcher
Close
ResearcherID: K-8547-2014
URL: http://www.researcherid.com/rid/K-8547-2014
ORCID: http://orcid.org/0000-0002-3447-5843
My Institutions (more details)
Primary Institution:
Sub-org/Dept:
Role:
 
 

This list contains papers that I have authored.

publication(s)  
First Page Previous Page Page   of  1  Go Next Page Last Page
  Sort by:    Results per page: 
1.  Title: A Hybrid Reduced-Order Model of Fine-Resolution Hydrologic Simulations at a Polygonal Tundra Site
 Author(s): Liu, Yaning; Bisht, Gautam; Subin, Zachary M.; et al.
 Source: Vadose Zone Journal Volume: 15 Issue: 2 Published: FEB 2016
 Times Cited: 5
 DOI: 10.2136/vzj2015.05.0068
added
13-Jul-16
2.  Title: Accurate and efficient prediction of fine-resolution hydrologic and carbon dynamic simulations from coarse-resolution models
 Author(s): Pau, George Shu Heng; Shen, Chaopeng; Riley, William J.; et al.
 Source: Water Resources Research Volume: 52 Issue: 2 Pages: 791-812 Published: FEB 2016
 Times Cited: 3
 DOI: 10.1002/2015WR017782
added
13-Jul-16
3.  Title: Accurate construction of high dimensional model representation with applications to uncertainty quantification
 Author(s): Liu, Yaning; Hussaini, M. Yousuff; Okten, Giray
 Source: Reliability Engineering & System Safety Volume: 152 Pages: 281-295 Published: AUG 2016
 Times Cited: 1
 DOI: 10.1016/j.ress.2016.03.021
added
13-Jul-16
4.  Title: Evaluation of multiple reduced-order models to enhance confidence in global sensitivity analyses
 Author(s): Zhang, Yingqi; Liu, Yaning; Pau, George; et al.
 Source: International Journal of Greenhouse Gas Control Volume: 49 Pages: 217-226 Published: JUN 2016
 Times Cited: 3
 DOI: 10.1016/j.ijggc.2016.03.003
added
13-Jul-16
5.  Title: Global sensitivity analysis for the Rothermel model based on high-dimensional model representation
 Author(s): Liu, Yaning; Hussaini, Yousuff; Oekten, Giray
 Source: Canadian Journal of Forest Research Volume: 45 Issue: 11 Pages: 1474-1479 Published: NOV 2015
 Times Cited: 1
 DOI: 10.1139/cjfr-2015-0148
added
13-Jul-16
6.  Title: Global sensitivity analysis used to interpret biological experimental results
 Author(s): Jarrett, Angela M.; Liu, Yaning; Cogan, N. G.; et al.
 Source: Journal of Mathematical Biology Volume: 71 Issue: 1 Pages: 151-170 Published: JUL 2015
 Times Cited: 4
 DOI: 10.1007/s00285-014-0818-3
added
09-Jun-15
7.  Title: Parametric uncertainty quantification in the Rothermel model with randomised quasi-Monte Carlo methods
 Author(s): Liu, Yaning; Jimenez, Edwin; Hussaini, M. Yousuff; et al.
 Source: International Journal of Wildland Fire Volume: 24 Issue: 3 Pages: 307-316 Published: 2015
 Times Cited: 7
 DOI: 10.1071/WF13097
added
13-Jul-16
8.  Title: Optimization of a Monte Carlo variance reduction method based on sensitivity derivatives
 Author(s): Liu, Yaning; Hussaini, M. Yousuff; Oekten, Giray
 Source: Applied Numerical Mathematics Volume: 72 Pages: 160-171 Published: OCT 2013
 Times Cited: 4
 DOI: 10.1016/j.apnum.2013.06.005
added
09-Jun-15
9.  Title: Variance reduction method based on sensitivity derivatives, Part 2
 Author(s): Jimenez, Edwin; Liu, Yaning; Hussaini, M. Yousuff
 Source: Applied Numerical Mathematics Volume: 74 Pages: 151-159 Published: DEC 2013
 Times Cited: 2
 DOI: 10.1016/j.apnum.2012.07.010
added
09-Jun-15
publication(s)  
First Page Previous Page Page   of  1  Go Next Page Last Page
  Sort by:    Results per page: