Wei Gong
Global and Planetary Change · with Di · 2013–2015
A researcher in the Science corpus: 7 papers; trusts 25 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Global and Planetary Change — 49 citations into it; #8,589 of 10,225 by trust here, #7,219 by citations
- Statistics and Probability — 41 citations into it
- Water Science and Technology — 41 citations into it; #1,435 of 1,711 by trust here, #1,322 by citations
- Management Science and Operations Research — 28 citations into it
- Environmental Engineering — 27 citations into it; #4,861 of 5,479 by trust here, #4,337 by citations
- Computational Theory and Mathematics — 21 citations into it
- Atmospheric Science — 20 citations into it
- Artificial Intelligence — 16 citations into it
Whom Wei Gong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Hoshin V. Gupta
- Soroosh Sorooshian
- Qingyun Duan
- Aapo Hyvärinen
- N. Bulygina
- Ilya M. Sobol
- Ashish Sharma
- Bradley Efron
- Shlomo P. Neuman
- Saralees Nadarajah
Who trusts Wei Gong overall
Papers from Wei Gong's perspective
Ordered by how strongly the researchers Wei Gong trusts endorse each paper. Same corpus, a different order for every researcher.
- Effective and efficient global optimization for conceptual rainfall‐runoff models
- The future of distributed models: model calibration and uncertainty prediction.
- Towards reduced uncertainty in conceptual rainfall‐runoff modelling: dynamic identifiability analysis
- Maximum likelihood Bayesian averaging of uncertain model predictions
- Bayesian recursive parameter estimation for hydrologic models
- Monte Carlo Sampling Methods Using Markov Chains and Their Applications
- Making best use of model evaluations to compute sensitivity indices
- Multi-objective global optimization for hydrologic models
- Multilevel calibration strategy for complex hydrologic simulation models
- An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction
Their papers
- An evaluation of adaptive surrogate modeling based optimization with two benchmark problems (2014) — 252 citations
- An Intercomparison of Sampling Methods for Uncertainty Quantification of Environmental Dynamic Models (2015) — 52 citations
- A comprehensive evaluation of various sensitivity analysis methods: A case study with a hydrological model (2014) — 342 citations
- Estimating information entropy for hydrological data: One‐dimensional case (2014) — 70 citations
- Assessment of CMIP5 climate models and projected temperature changes over Northern Eurasia (2014) — 215 citations
- Estimating epistemic and aleatory uncertainties during hydrologic modeling: An information theoretic approach (2013) — 122 citations
- Assessing parameter importance of the Common Land Model based on qualitative and quantitative sensitivity analysis (2013) — 89 citations