What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Mechanical engineering
- Electrical engineering
Shouqi Yuan focuses on Mechanics, Photocatalysis, Impeller, Chemical engineering and Centrifugal pump.
His work on Diffuser, Instability, Specific speed and Stall as part of general Mechanics research is often related to Communication channel, thus linking different fields of science.
His Photocatalysis study combines topics from a wide range of disciplines, such as Heterojunction, Band gap and Charge carrier.
His research integrates issues of Turbulence, Hydraulic pump, Computational fluid dynamics and Flow in his study of Impeller.
His Chemical engineering research is multidisciplinary, incorporating elements of Transition metal, Hydrogen production, Overpotential, Artificial photosynthesis and Carbon.
His study in Centrifugal pump is interdisciplinary in nature, drawing from both Cavitation, Volute and Turbulence kinetic energy.
His most cited work include:
- A Hierarchical Z‑Scheme α-Fe2O3/g-C3N4 Hybrid for Enhanced Photocatalytic CO2 Reduction (359 citations)
- Synergistic coupling of CoFe-LDH arrays with NiFe-LDH nanosheet for highly efficient overall water splitting in alkaline media (126 citations)
- Porous nitrogen-rich g-C3N4 nanotubes for efficient photocatalytic CO2 reduction (82 citations)
What are the main themes of his work throughout his whole career to date?
Shouqi Yuan mostly deals with Mechanics, Centrifugal pump, Impeller, Flow and Acoustics.
His studies in Turbulence, Computational fluid dynamics, Vortex, Volumetric flow rate and Computer simulation are all subfields of Mechanics research.
His biological study spans a wide range of topics, including Vibration, Cavitation, Volute and Internal flow.
His Impeller research is multidisciplinary, incorporating perspectives in Inlet, Turbulence kinetic energy, Control theory and Suction.
His research ties Simulation and Flow together.
Shouqi Yuan has included themes like Broadband, Bandwidth and Optics in his Acoustics study.
He most often published in these fields:
- Mechanics (38.51%)
- Centrifugal pump (34.46%)
- Impeller (30.74%)
What were the highlights of his more recent work (between 2019-2021)?
- Mechanics (38.51%)
- Impeller (30.74%)
- Centrifugal pump (34.46%)
In recent papers he was focusing on the following fields of study:
Mechanics, Impeller, Centrifugal pump, Vortex and Control theory are his primary areas of study.
The Mechanics study combines topics in areas such as Nanofluid and Enclosure.
Shouqi Yuan combines subjects such as Reynolds-averaged Navier–Stokes equations, Multi-objective optimization, Inlet and Logarithmic scale with his study of Impeller.
His Centrifugal pump study incorporates themes from Cavitation, Internal flow, Turbulence kinetic energy and Suction.
The various areas that Shouqi Yuan examines in his Internal flow study include Particle image velocimetry and Volute.
His Control theory research focuses on Artificial neural network and how it relates to Stability, Structure and Nonlinear system.
Between 2019 and 2021, his most popular works were:
- Deep Learning-Based Intelligent Fault Diagnosis Methods Toward Rotating Machinery (46 citations)
- Observation of an acoustic octupole topological insulator. (36 citations)
- Energy loss evaluation in a side channel pump under different wrapping angles using entropy production method (35 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Mechanical engineering
- Electrical engineering
Shouqi Yuan mainly focuses on Mechanics, Centrifugal pump, Turbulence, Impeller and Reynolds-averaged Navier–Stokes equations.
His study in the field of Flow is also linked to topics like Closure.
His Centrifugal pump research incorporates elements of Acoustics, Hilbert–Huang transform, Stator and Leakage.
Shouqi Yuan interconnects Vortex and Viscosity in the investigation of issues within Turbulence.
His Impeller research is multidisciplinary, incorporating elements of Genetic algorithm, Control theory and Multi-objective optimization.
His Reynolds-averaged Navier–Stokes equations research is multidisciplinary, incorporating perspectives in Shear stress, Entropy production, Dissipative system, Numerical analysis and Surrogate model.
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