What is he best known for?
The fields of study he is best known for:
- Mathematical optimization
- Quantum mechanics
- Artificial intelligence
His main research concerns Mathematical optimization, Life-cycle assessment, Multi-objective optimization, Algorithm and Production.
The various areas that he examines in his Mathematical optimization study include Nonlinear programming and Safety stock.
The study incorporates disciplines such as Waste management, Biofuel, Biorefinery, Cathode and Environmental economics in addition to Life-cycle assessment.
His work in Multi-objective optimization addresses issues such as Production planning, which are connected to fields such as Linear programming.
His work investigates the relationship between Algorithm and topics such as Stochastic programming that intersect with problems in Scale.
His Production research is multidisciplinary, relying on both Electricity, Photovoltaic electricity and Cost of electricity by source.
His most cited work include:
- Optimal design of sustainable cellulosic biofuel supply chains: Multiobjective optimization coupled with life cycle assessment and input–output analysis (487 citations)
- Optimal design of sustainable cellulosic biofuel supply chains: Multiobjective optimization coupled with life cycle assessment and input–output analysis (487 citations)
- Biomass-to-bioenergy and biofuel supply chain optimization: Overview, key issues and challenges (424 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Mathematical optimization, Robust optimization, Waste management, Process engineering and Algorithm.
His studies in Mathematical optimization integrate themes in fields like Nonlinear programming and Job shop scheduling.
His work in Nonlinear programming tackles topics such as Global optimization which are related to areas like Fractional programming.
His Robust optimization course of study focuses on Data-driven and Model predictive control.
His Waste management study incorporates themes from Life-cycle assessment, Production and Process design.
His Life-cycle assessment research integrates issues from Multi-objective optimization and Environmental economics.
He most often published in these fields:
- Mathematical optimization (42.47%)
- Robust optimization (15.06%)
- Waste management (12.05%)
What were the highlights of his more recent work (between 2018-2021)?
- Mathematical optimization (42.47%)
- Robust optimization (15.06%)
- Data-driven (7.53%)
In recent papers he was focusing on the following fields of study:
Fengqi You mainly focuses on Mathematical optimization, Robust optimization, Data-driven, Process engineering and Life-cycle assessment.
Fengqi You has researched Mathematical optimization in several fields, including Model predictive control and Decision rule.
In his study, which falls under the umbrella issue of Robust optimization, Oil well, Refinery, Profit and Environmental economics is strongly linked to Linear programming.
The Data-driven study combines topics in areas such as Operating cost and Control theory.
His research in Process engineering intersects with topics in Electricity generation, Fossil fuel, Pressure swing adsorption and Energy storage.
His study focuses on the intersection of Life-cycle assessment and fields such as Waste management with connections in the field of Poultry litter.
Between 2018 and 2021, his most popular works were:
- Optimization under uncertainty in the era of big data and deep learning: When machine learning meets mathematical programming (51 citations)
- Active disturbance rejection temperature control of open-cathode proton exchange membrane fuel cell (42 citations)
- Data Analytics and Machine Learning for Smart Process Manufacturing: Recent Advances and Perspectives in the Big Data Era (38 citations)
In his most recent research, the most cited papers focused on:
- Mathematical optimization
- Artificial intelligence
- Quantum mechanics
Fengqi You spends much of his time researching Robust optimization, Process engineering, Mathematical optimization, Data-driven and Energy storage.
His Robust optimization research incorporates elements of Biofuel, Bioproducts, Return on investment, Market price and Biodegradable waste.
His Process engineering research includes elements of Fossil fuel, Energy mix and Pressure swing adsorption.
All of his Mathematical optimization and Optimal control and Stochastic programming investigations are sub-components of the entire Mathematical optimization study.
His research integrates issues of Risk analysis, Petroleum engineering, Shale gas and Resilience in his study of Data-driven.
His biological study deals with issues like Process, which deal with fields such as Environmental economics.
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