What is he best known for?
The fields of study he is best known for:
- Statistics
- Agriculture
- Artificial intelligence
His primary areas of study are Mathematical optimization, Fuzzy logic, Linear programming, Operations management and Municipal solid waste.
His research in Mathematical optimization intersects with topics in Taguchi methods, Water quality management, Factorial experiment and Pollution.
Gordon Huang has researched Fuzzy logic in several fields, including Stochastic programming and Decision support system.
In his research on the topic of Linear programming, Management system is strongly related with Operations research.
His work carried out in the field of Operations management brings together such families of science as Probabilistic logic and Solid waste management.
Gordon Huang focuses mostly in the field of Municipal solid waste, narrowing it down to matters related to Robustness and, in some cases, Renewable energy, Energy security and Energy management.
His most cited work include:
- IPWM: AN INTERVAL PARAMETER WATER QUALITY MANAGEMENT MODEL (228 citations)
- An interval-parameter multi-stage stochastic programming model for water resources management under uncertainty (217 citations)
- Identification of optimal strategies for energy management systems planning under multiple uncertainties (206 citations)
What are the main themes of his work throughout his whole career to date?
Gordon Huang mainly focuses on Mathematical optimization, Fuzzy logic, Fuzzy set, Operations research and Linear programming.
His research integrates issues of Probability distribution, Robustness, Operations management and Nonlinear system in his study of Mathematical optimization.
His Fuzzy logic research integrates issues from Solid waste management, Simulation, Random variable and Process.
His work deals with themes such as Risk analysis and Expert system, which intersect with Fuzzy set.
The Operations research study combines topics in areas such as Probabilistic logic and Decision support system.
His study in Linear programming is interdisciplinary in nature, drawing from both Municipal solid waste and Integer programming.
He most often published in these fields:
- Mathematical optimization (39.32%)
- Fuzzy logic (32.04%)
- Fuzzy set (19.90%)
What were the highlights of his more recent work (between 2018-2021)?
- Chemical engineering (6.80%)
- Climate change (11.65%)
- Streamflow (8.25%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Chemical engineering, Climate change, Streamflow, Materials science and Input–output model.
Gordon Huang has included themes like Membrane and Adsorption in his Chemical engineering study.
His Climate change study which covers Greenhouse gas that intersects with Agricultural productivity, Emission intensity, Waste management and Sewage treatment.
His Streamflow study combines topics in areas such as Atmospheric circulation and Precipitation.
His biological study spans a wide range of topics, including Municipal solid waste management, Stochastic programming and Reduction.
His Stochastic programming study is associated with Mathematical optimization.
Between 2018 and 2021, his most popular works were:
- Anaerobic digestion of livestock manure in cold regions: Technological advancements and global impacts (36 citations)
- Mathematical Modeling for Identifying Cost-Effective Policy of Municipal Solid Waste Management under Uncertainty (32 citations)
- Plasma-induced PAA-ZnO coated PVDF membrane for oily wastewater treatment: Preparation, optimization, and characterization through Taguchi OA design and synchrotron-based X-ray analysis (29 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Agriculture
- Artificial intelligence
Gordon Huang mainly investigates Acrylic acid, Materials science, Chemical engineering, Membrane and Permeation.
Gordon Huang integrates many fields, such as Acrylic acid, Polyvinylidene fluoride, Polymerization, Nanoparticle, X-ray and Titanium dioxide, in his works.
Materials science is intertwined with Infrared spectroscopy, Coating, Contact angle, Scanning electron microscope and Adsorption in his study.
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