What is he best known for?
The fields of study he is best known for:
- Gene
- Artificial intelligence
- Enzyme
His scientific interests lie mostly in Astrophysics, Fermi Gamma-ray Space Telescope, Astronomy, Galaxy and Dye-sensitized solar cell.
His research on Astrophysics frequently connects to adjacent areas such as Spectral line.
The study incorporates disciplines such as Telescope, Spitzer Space Telescope, Cosmic ray, Gamma ray and Pulsar in addition to Fermi Gamma-ray Space Telescope.
His research in Dye-sensitized solar cell intersects with topics in Photochemistry, Ionic liquid, Chemical engineering and Ruthenium.
Peng Wang combines subjects such as Energy conversion efficiency, Hybrid solar cell, Molar absorptivity and Nanocrystalline material with his study of Photochemistry.
Peng Wang has included themes like Inorganic chemistry and Solar cell in his Electrolyte study.
His most cited work include:
- The Large Area Telescope on the Fermi Gamma-ray Space Telescope Mission (3084 citations)
- A stable quasi-solid-state dye-sensitized solar cell with an amphiphilic ruthenium sensitizer and polymer gel electrolyte. (1340 citations)
- Fermi Large Area Telescope Second Source Catalog (1327 citations)
What are the main themes of his work throughout his whole career to date?
Peng Wang mainly focuses on Control theory, Electronic engineering, Artificial intelligence, Electric power system and Reliability engineering.
His work carried out in the field of Control theory brings together such families of science as Microgrid and Voltage.
His research combines Voltage droop and Microgrid.
His Voltage research is within the category of Electrical engineering.
His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning, Computer vision and Pattern recognition.
His Reliability engineering study frequently draws connections to other fields, such as Reliability.
He most often published in these fields:
- Control theory (13.64%)
- Electronic engineering (7.81%)
- Artificial intelligence (7.81%)
What were the highlights of his more recent work (between 2019-2021)?
- Control theory (13.64%)
- Artificial intelligence (7.81%)
- Chemical engineering (4.35%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Control theory, Artificial intelligence, Chemical engineering, Microgrid and Algorithm.
He works in the field of Control theory, namely Control theory.
His studies in Artificial intelligence integrate themes in fields like Machine learning and Pattern recognition.
All of his Chemical engineering and Nanofiber and Thermal stability investigations are sub-components of the entire Chemical engineering study.
Between 2019 and 2021, his most popular works were:
- Use of high-intensity ultrasound to improve emulsifying properties of chicken myofibrillar protein and enhance the rheological properties and stability of the emulsion (48 citations)
- Sequential electrospinning of multilayer ethylcellulose/gelatin/ethylcellulose nanofibrous film for sustained release of curcumin. (25 citations)
- Improvement of Frequency Regulation in VSG-Based AC Microgrid Via Adaptive Virtual Inertia (24 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Gene
- Enzyme
Peng Wang mainly investigates Control theory, Artificial intelligence, Microgrid, Chemical engineering and Voltage droop.
Particularly relevant to Control theory is his body of work in Control theory.
His Artificial intelligence research integrates issues from Machine learning and Pattern recognition.
His study in Microgrid is interdisciplinary in nature, drawing from both Robustness and Nonlinear system.
His Chemical engineering study combines topics from a wide range of disciplines, such as Grain size, Gelatin and Electrospinning.
His Voltage droop research is multidisciplinary, incorporating perspectives in Supercapacitor and Computer data storage.
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