What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Organic chemistry
- Oxygen
His primary areas of study are Control theory, Chemical engineering, Nanotechnology, Catalysis and Fuzzy logic.
His is involved in several facets of Control theory study, as is seen by his studies on Robustness, Vehicle dynamics, Backstepping, Observer and Trajectory.
The study incorporates disciplines such as Porosity, Flue-gas desulfurization, Organic chemistry, Vanadium and Mesoporous material in addition to Chemical engineering.
He combines subjects such as Perovskite, Doping, Thermochromism and Energy conversion efficiency with his study of Nanotechnology.
His Catalysis research is multidisciplinary, incorporating elements of Inorganic chemistry, Nanoparticle and Microporous material.
His Zeolite study combines topics from a wide range of disciplines, such as Hydrothermal synthesis and Hydrothermal circulation.
His most cited work include:
- Fluorinated benzothiadiazole-based conjugated polymers for high-performance polymer solar cells without any processing additives or post-treatments. (281 citations)
- In Situ Confinement of Ultrasmall Pd Clusters within Nanosized Silicalite-1 Zeolite for Highly Efficient Catalysis of Hydrogen Generation. (250 citations)
- Ultralow percolation threshold and enhanced electromagnetic interference shielding in poly(L-lactide)/multi-walled carbon nanotube nanocomposites with electrically conductive segregated networks (231 citations)
What are the main themes of his work throughout his whole career to date?
Ning Wang mainly focuses on Control theory, Chemical engineering, Optoelectronics, Fuzzy logic and Artificial intelligence.
His study in Control theory focuses on Control theory, Robustness, Trajectory, Observer and Backstepping.
His research integrates issues of Control engineering, Tracking and Vehicle dynamics in his study of Trajectory.
The various areas that he examines in his Chemical engineering study include Nanotechnology and Catalysis.
The various areas that Ning Wang examines in his Catalysis study include Inorganic chemistry and Methanol.
The concepts of his Artificial intelligence study are interwoven with issues in Machine learning, Pattern recognition and Generalization.
He most often published in these fields:
- Control theory (27.69%)
- Chemical engineering (14.46%)
- Optoelectronics (11.46%)
What were the highlights of his more recent work (between 2018-2021)?
- Control theory (27.69%)
- Observer (6.88%)
- Chemical engineering (14.46%)
In recent papers he was focusing on the following fields of study:
Ning Wang mainly investigates Control theory, Observer, Chemical engineering, Control theory and Catalysis.
As part of his studies on Control theory, Ning Wang often connects relevant subjects like Tracking.
Ning Wang has included themes like Heading and Fuzzy logic in his Observer study.
Ning Wang focuses mostly in the field of Chemical engineering, narrowing it down to topics relating to Yield and, in certain cases, Methanol.
His Backstepping research is multidisciplinary, relying on both Servo and Fuzzy control system.
His Zeolite research incorporates themes from Hydrogen production and Rhodium.
Between 2018 and 2021, his most popular works were:
- Ultrasmall Metal Nanoparticles Confined within Crystalline Nanoporous Materials: A Fascinating Class of Nanocatalysts. (86 citations)
- Accurate Trajectory Tracking of Disturbed Surface Vehicles: A Finite-Time Control Approach (79 citations)
- Observer-Based Event-Triggered Adaptive Decentralized Fuzzy Control for Nonlinear Large-Scale Systems (68 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Organic chemistry
- Oxygen
The scientist’s investigation covers issues in Control theory, Underactuation, Vehicle dynamics, Observer and Trajectory.
His Control theory study frequently links to other fields, such as Fuzzy logic.
His study in Underactuation is interdisciplinary in nature, drawing from both Swarm behaviour, Stability theory, Path, Cascade and Collision avoidance.
His Vehicle dynamics study combines topics from a wide range of disciplines, such as Lyapunov function and Actuator.
His Observer research integrates issues from Bounded function, Observer and Heading.
The Trajectory study combines topics in areas such as Tracking and Integral sliding mode.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
