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Yaning Liu, Ph.D. - Publications

Affiliations: 
2013 Mathematics Florida State University, Tallahassee, FL, United States 
Area:
Mathematics
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11 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Sheng J, Huang T, Ye Z, Hu B, Liu Y, Fan Q. Evaluation of van Genuchten-Mualem model on the relative permeability for unsaturated flow in aperture-based fractures Journal of Hydrology. 576: 315-324. DOI: 10.1016/J.Jhydrol.2019.06.047  0.377
2017 Liu Y, Pau GSH, Finsterle S. Implicit sampling combined with reduced order modeling for the inversion of vadose zone hydrological data Computers & Geosciences. 108: 21-32. DOI: 10.1016/J.Cageo.2017.04.001  0.563
2016 Liu Y, Bisht G, Subin ZM, Riley WJ, Pau GSH. A hybrid reduced-order model of fine-resolution hydrologic simulations at a polygonal tundra site Vadose Zone Journal. 15. DOI: 10.2136/Vzj2015.05.0068  0.44
2016 Liu Y, Yousuff Hussaini M, Ökten G. Accurate construction of high dimensional model representation with applications to uncertainty quantification Reliability Engineering and System Safety. 152: 281-295. DOI: 10.1016/J.Ress.2016.03.021  0.538
2016 Zhang Y, Liu Y, Pau G, Oladyshkin S, Finsterle S. Evaluation of multiple reduced-order models to enhance confidence in global sensitivity analyses International Journal of Greenhouse Gas Control. 49: 217-226. DOI: 10.1016/J.Ijggc.2016.03.003  0.542
2016 Pau GSH, Shen C, Riley WJ, Liu Y. Accurate and efficient prediction of fine-resolution hydrologic and carbon dynamic simulations from coarse-resolution models Water Resources Research. DOI: 10.1002/2015Wr017782  0.474
2015 Jarrett AM, Liu Y, Cogan NG, Hussaini MY. Global sensitivity analysis used to interpret biological experimental results. Journal of Mathematical Biology. 71: 151-70. PMID 25059426 DOI: 10.1007/S00285-014-0818-3  0.619
2015 Liu Y, Hussaini MY, Ökten G. Global sensitivity analysis for the Rothermel model based on high-dimensional model representation Canadian Journal of Forest Research. 45: 1474-1479. DOI: 10.1139/Cjfr-2015-0148  0.658
2015 Liu Y, Jimenez E, Hussaini MY, Ökten G, Goodrick S. Parametric uncertainty quantification in the Rothermel model with randomised quasi-Monte Carlo methods International Journal of Wildland Fire. 24: 307-316. DOI: 10.1071/Wf13097  0.595
2013 Liu Y, Yousuff Hussaini M, Ökten G. Optimization of a Monte Carlo variance reduction method based on sensitivity derivatives Applied Numerical Mathematics. 72: 160-171. DOI: 10.1016/J.Apnum.2013.06.005  0.456
2013 Jimenez E, Liu Y, Hussaini MY. Variance reduction method based on sensitivity derivatives, Part 2 Applied Numerical Mathematics. 74: 151-159. DOI: 10.1016/J.Apnum.2012.07.010  0.57
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