What is he best known for?
The fields of study he is best known for:
- Statistics
- Ecology
- Organic chemistry
His primary areas of study are Mathematical optimization, Fuzzy logic, Stochastic programming, Linear programming and Fuzzy set.
His Mathematical optimization research incorporates elements of Probability distribution and Process.
The concepts of his Probability distribution study are interwoven with issues in Stage and Water resources.
Guohe Huang interconnects Management system, Robustness and Operations research in the investigation of issues within Fuzzy logic.
His work deals with themes such as Stochastic modelling, Operations management, Decision support system, Linkage and Environmental economics, which intersect with Stochastic programming.
The study incorporates disciplines such as Climate change and Relation in addition to Fuzzy set.
His most cited work include:
- A GREY LINEAR PROGRAMMING APPROACH FOR MUNICIPAL SOLID WASTE MANAGEMENT PLANNING UNDER UNCERTAINTY (495 citations)
- AN INEXACT TWO-STAGE STOCHASTIC PROGRAMMING MODEL FOR WATER RESOURCES MANAGEMENT UNDER UNCERTAINTY (419 citations)
- Optimization of conversion of waste rapeseed oil with high FFA to biodiesel using response surface methodology. (251 citations)
What are the main themes of his work throughout his whole career to date?
Guohe Huang mainly investigates Mathematical optimization, Fuzzy logic, Stochastic programming, Fuzzy set and Environmental engineering.
His research in Mathematical optimization intersects with topics in Electricity generation and Probability distribution.
Guohe Huang has researched Electricity generation in several fields, including Renewable energy, Environmental economics and Electric power system.
His research integrates issues of Management system, Process and Operations research in his study of Fuzzy logic.
His biological study spans a wide range of topics, including Probabilistic logic and Water resources.
His Environmental engineering study incorporates themes from Environmental remediation and Groundwater.
He most often published in these fields:
- Mathematical optimization (34.14%)
- Fuzzy logic (22.99%)
- Stochastic programming (19.61%)
What were the highlights of his more recent work (between 2017-2021)?
- Environmental economics (13.28%)
- Climate change (10.61%)
- Climatology (8.82%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Environmental economics, Climate change, Climatology, Stochastic programming and Renewable energy.
His studies in Environmental economics integrate themes in fields like Electricity generation, Greenhouse gas and Sustainable development.
In his research on the topic of Climatology, Spatial variability is strongly related with Precipitation.
His study on Stochastic programming is covered under Mathematical optimization.
His Mathematical optimization research includes elements of Fuzzy set and Fuzzy logic.
His Renewable energy research is multidisciplinary, relying on both Fossil fuel, Energy supply and Electric power system.
Between 2017 and 2021, his most popular works were:
- Adsorption of anionic azo dyes from aqueous solution on cationic gemini surfactant-modified flax shives: Synchrotron infrared, optimization and modeling studies (51 citations)
- Adsorption of anionic azo dyes from aqueous solution on cationic gemini surfactant-modified flax shives: Synchrotron infrared, optimization and modeling studies (51 citations)
- Newly designed primer pair revealed dominant and diverse comammox amoA gene in full-scale wastewater treatment plants. (50 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Ecology
- Organic chemistry
Guohe Huang mostly deals with Environmental economics, Climate change, Climatology, Environmental engineering and Input–output model.
His studies deal with areas such as Energy consumption, Control, Energy supply, Electricity generation and Renewable energy as well as Environmental economics.
The various areas that Guohe Huang examines in his Renewable energy study include Fuzzy logic, Fossil fuel and Electric power system.
His Climate change research focuses on Precipitation and how it connects with Spatial variability.
His Environmental engineering research is multidisciplinary, incorporating perspectives in Layering, Coating and Ceramic.
His study on Copula is mostly dedicated to connecting different topics, such as Mathematical optimization.
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