Xuesong Zhang

Global and Planetary Change · 2009–2019

A researcher in the Science corpus: 7 papers; trusts 33 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 46 citations into it
• Environmental Engineering — 35 citations into it; #2,739 of 5,479 by trust here, #3,356 by citations
• Ecology — 33 citations into it
• Water Science and Technology — 25 citations into it; #671 of 1,711 by trust here, #1,275 by citations
• Artificial Intelligence — 13 citations into it
• Atmospheric Science — 11 citations into it
• Plant Science — 11 citations into it
• Agronomy and Crop Science — 9 citations into it

Whom Xuesong Zhang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Keith Beven
2. Jasper A. Vrugt
3. Hans-Martin Gutmann
4. Jing Yang
5. K. C. Abbaspour
6. Qingyun Duan
7. Adrian E. Raftery
8. A. Binley
9. George A. Kuczera
10. Yuqiong Liu

Who trusts Xuesong Zhang overall

1. Saman Razavi
2. Chen Wang
3. Bryan Tolson
4. Raghavan Srinivasan
5. Donald H. Burn
6. Qingyun Duan

Papers from Xuesong Zhang's perspective

Ordered by how strongly the researchers Xuesong Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Effective and efficient global optimization for conceptual rainfall‐runoff models
2. Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology
3. The future of distributed models: model calibration and uncertainty prediction.
4. Towards a Bayesian total error analysis of conceptual rainfall-runoff models: Characterising model error using storm-dependent parameters
5. A manifesto for the equifinality thesis
6. Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory
7. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
8. Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and E. I. George, and a rejoinder by the authors
9. Bayesian calibration of computer models
10. Genetic Algorithms in Search Optimization and Machine Learning

Their papers

• An integrative modeling framework to evaluate the productivity and sustainability of biofuel crop production systems (2010) — 128 citations
• Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm (2019) — 445 citations
• A global map of urban extent from nightlights (2015) — 291 citations
• Hyperspectral remote sensing of plant biochemistry using Bayesian model averaging with variable and band selection (2013) — 157 citations
• Sustainable bioenergy production from marginal lands in the US Midwest (2013) — 707 citations
• Calibration and uncertainty analysis of the SWAT model using Genetic Algorithms and Bayesian Model Averaging (2009) — 230 citations
• Approximating SWAT Model Using Artificial Neural Network and Support Vector Machine 1 (2009) — 132 citations