What is he best known for?
The fields of study he is best known for:
- Statistics
- Organic chemistry
- Thermodynamics
The scientist’s investigation covers issues in Ionic liquid, Equation of state, Inorganic chemistry, Deep eutectic solvent and Eutectic system.
His Ionic liquid research is multidisciplinary, incorporating elements of Absorption, Aqueous solution and Solubility.
He interconnects Mixing and Cubic function in the investigation of issues within Equation of state.
He has included themes like Wong–Sandler mixing rule and Activity coefficient in his Mixing study.
His work investigates the relationship between Eutectic system and topics such as Analytical chemistry that intersect with problems in Chromatography, Atmospheric temperature range, Choline chloride and Isobaric process.
His Thermodynamics research is multidisciplinary, relying on both UNIFAC and PSRK.
His most cited work include:
- A theoretically correct mixing rule for cubic equations of state (783 citations)
- A novel deep eutectic solvent-based ionic liquid used as electrolyte for dye-sensitized solar cells (186 citations)
- Equation of state mixing rule for nonideal mixtures using available activity coefficient model parameters and that allows extrapolation over large ranges of temperature and pressure (153 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Control theory, Process engineering, Chemical engineering, Thermodynamics and Distillation.
David Shan-Hill Wong has researched Control theory in several fields, including Process control, EWMA chart and Statistical process control.
His Process engineering study combines topics from a wide range of disciplines, such as Temperature control, Work, Power station, Chromatography and Reboiler.
His study focuses on the intersection of Work and fields such as Aqueous solution with connections in the field of Carbon dioxide.
His biological study focuses on Equation of state.
His Equation of state study frequently draws connections between adjacent fields such as Activity coefficient.
He most often published in these fields:
- Control theory (16.41%)
- Process engineering (13.85%)
- Chemical engineering (11.79%)
What were the highlights of his more recent work (between 2017-2021)?
- Chemical engineering (11.79%)
- Dimethyl carbonate (4.10%)
- Methanol (6.67%)
In recent papers he was focusing on the following fields of study:
David Shan-Hill Wong mainly focuses on Chemical engineering, Dimethyl carbonate, Methanol, Process engineering and Distillation.
His Dimethyl carbonate research includes elements of Azeotrope, Phosgene, Reactive distillation and Fractionating column.
As a part of the same scientific study, David Shan-Hill Wong usually deals with the Fractionating column, concentrating on Raw material and frequently concerns with Urea and Temperature control.
The Methanol study combines topics in areas such as Benzene, Inorganic chemistry, Toluene and Selectivity, Space velocity.
His research in Process engineering intersects with topics in Work, Column, Ammonia, Carbon dioxide and Aqueous solution.
David Shan-Hill Wong is interested in Reboiler, which is a branch of Distillation.
Between 2017 and 2021, his most popular works were:
- Investigation of hydrodynamic behavior in random packing using CFD simulation (8 citations)
- Machine Learning of Molecular Classification and Quantum Mechanical Calculations (4 citations)
- An Extended State Observer-Based Run to Run Control for Semiconductor Manufacturing Processes (4 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Organic chemistry
- Thermodynamics
His primary scientific interests are in Chemical engineering, Process engineering, Aqueous solution, Nonlinear system and Control theory.
His work on Packed bed is typically connected to Dual function as part of general Chemical engineering study, connecting several disciplines of science.
His Process engineering study integrates concerns from other disciplines, such as Energy, Energy reduction, Fraction and Ammonia.
His Nonlinear system research incorporates elements of Observer, Process control, Encoder and Soft sensor.
The Control theory study combines topics in areas such as Stochastic process and EWMA chart.
His study looks at the intersection of Control theory and topics like Control system with Line.
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