What is he best known for?
The fields of study he is best known for:
- Organic chemistry
- Nanotechnology
- Oxygen
Daoben Zhu mainly focuses on Nanotechnology, Photochemistry, Optoelectronics, Field-effect transistor and Fluorescence.
His Nanotechnology research includes elements of Wetting, Contact angle, Chemical engineering and Transistor.
His biological study spans a wide range of topics, including Thiophene, Acceptor and Perylene.
His work carried out in the field of Optoelectronics brings together such families of science as Organic electronics and Thin-film transistor.
His Fluorescence research integrates issues from Conjugated system, Turn, DNA, Molecule and Stereochemistry.
In his study, which falls under the umbrella issue of Stereochemistry, Crystallography is strongly linked to Electronic structure.
His most cited work include:
- Aggregation-induced emission of 1-methyl-1,2,3,4,5-pentaphenylsilole. (3850 citations)
- Semiconducting π-conjugated systems in field-effect transistors: a material odyssey of organic electronics. (2175 citations)
- An electron acceptor challenging fullerenes for efficient polymer solar cells. (1747 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Photochemistry, Nanotechnology, Crystallography, Optoelectronics and Molecule.
In his research, Polymer chemistry is intimately related to Conjugated system, which falls under the overarching field of Photochemistry.
His study in Nanotechnology is interdisciplinary in nature, drawing from both Chemical engineering and Electrode.
The concepts of his Crystallography study are interwoven with issues in Inorganic chemistry, Stereochemistry and Antiferromagnetism.
Daoben Zhu combines subjects such as Field-effect transistor and Transistor with his study of Optoelectronics.
His biological study focuses on Organic field-effect transistor.
He most often published in these fields:
- Photochemistry (22.10%)
- Nanotechnology (19.81%)
- Crystallography (19.29%)
What were the highlights of his more recent work (between 2013-2021)?
- Thermoelectric effect (4.77%)
- Optoelectronics (13.80%)
- Crystallography (19.29%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Thermoelectric effect, Optoelectronics, Crystallography, Nanotechnology and Thermoelectric materials.
Daoben Zhu has included themes like Thin film, Doping and Polymer in his Thermoelectric effect study.
His Polymer research focuses on subjects like Chemical engineering, which are linked to Selenium.
His research in Optoelectronics intersects with topics in Field-effect transistor and Electrode.
His studies deal with areas such as Inorganic chemistry, Ion, Lanthanide and Ligand as well as Crystallography.
His research integrates issues of Transistor and Organic electronics in his study of Nanotechnology.
Between 2013 and 2021, his most popular works were:
- An electron acceptor challenging fullerenes for efficient polymer solar cells. (1747 citations)
- High-Performance Electron Acceptor with Thienyl Side Chains for Organic Photovoltaics. (677 citations)
- Advances of flexible pressure sensors toward artificial intelligence and health care applications (535 citations)
In his most recent research, the most cited papers focused on:
- Organic chemistry
- Oxygen
- Ion
Daoben Zhu spends much of his time researching Nanotechnology, Optoelectronics, Thermoelectric effect, Polymer and Thermoelectric materials.
His Nanotechnology research is multidisciplinary, incorporating perspectives in Transistor and Microstructure.
His Optoelectronics study frequently links to other fields, such as Chemical reaction.
His Thermoelectric effect research includes themes of Chemical engineering, Semiconductor, Doping and Conductive polymer.
The Polymer study combines topics in areas such as Electrical resistivity and conductivity, Band gap and Conductivity.
His work deals with themes such as Thermoelectric generator and Organic semiconductor, which intersect with Thermoelectric materials.
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.
