What is he best known for?
The fields of study he is best known for:
- Organic chemistry
- Polymer
- Nanotechnology
Shoujun Zhu mainly focuses on Photoluminescence, Nanotechnology, Fluorescence, Graphene and Quantum dot.
His Nanotechnology research is multidisciplinary, incorporating perspectives in Carbon and Polymer.
His studies deal with areas such as Luminescence and Biocompatibility as well as Fluorescence.
Shoujun Zhu focuses mostly in the field of Graphene, narrowing it down to matters related to Carbon nanotube and, in some cases, Amorphous carbon, Fullerene, Raman spectroscopy, Carbon-13 NMR and Analytical chemistry.
His Quantum dot research incorporates elements of Photocatalysis and Electron transfer.
His research on Fluorophore also deals with topics like
- Photochemistry which intersects with area such as Quantum yield,
- Preclinical imaging which connect with Pathology.
His most cited work include:
- Highly Photoluminescent Carbon Dots for Multicolor Patterning, Sensors, and Bioimaging (2106 citations)
- The photoluminescence mechanism in carbon dots (graphene quantum dots, carbon nanodots, and polymer dots): current state and future perspective (1150 citations)
- Strongly green-photoluminescent graphene quantum dots for bioimaging applications (1123 citations)
What are the main themes of his work throughout his whole career to date?
Shoujun Zhu mainly investigates Nanotechnology, Fluorescence, Carbon, Polymer and Photoluminescence.
His research ties Biocompatibility and Nanotechnology together.
His work deals with themes such as Photochemistry and Near-infrared spectroscopy, which intersect with Fluorescence.
His research integrates issues of Photocatalysis, Semiconductor, Analytical chemistry, Dispersity and Aqueous solution in his study of Carbon.
Shoujun Zhu has researched Polymer in several fields, including Supramolecular chemistry, Carbonization and Nanocomposite.
His Photoluminescence research integrates issues from Luminescence and Molecule.
He most often published in these fields:
- Nanotechnology (46.36%)
- Fluorescence (39.07%)
- Carbon (35.76%)
What were the highlights of his more recent work (between 2019-2021)?
- Polymer (37.75%)
- Optoelectronics (12.58%)
- Carbon (35.76%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Polymer, Optoelectronics, Carbon, Preclinical imaging and Near-infrared spectroscopy.
Shoujun Zhu interconnects Chemical physics, Quantum yield and Luminescence in the investigation of issues within Polymer.
His study looks at the relationship between Carbon and fields such as Wavelength, as well as how they intersect with chemical problems.
Fluorescence-lifetime imaging microscopy is a subfield of Fluorescence that he tackles.
Nanoparticle is the subject of his research, which falls under Nanotechnology.
His work carried out in the field of Nanotechnology brings together such families of science as Covalent bond and Porosity.
Between 2019 and 2021, his most popular works were:
- Deep Red Emissive Carbonized Polymer Dots with Unprecedented Narrow Full Width at Half Maximum (40 citations)
- Multiplexed NIR‐II Probes for Lymph Node‐Invaded Cancer Detection and Imaging‐Guided Surgery (29 citations)
- Crosslink‐Enhanced Emission Effect on Luminescence in Polymers: Advances and Perspectives (24 citations)
In his most recent research, the most cited papers focused on:
- Organic chemistry
- Polymer
- Ion
Shoujun Zhu spends much of his time researching Polymer, Optoelectronics, Carbon, Wavelength and Quality.
His Polymer study integrates concerns from other disciplines, such as Luminescence, Radiative transfer and Chemical physics.
The various areas that he examines in his Optoelectronics study include Supramolecular chemistry, Carbonization, Phosphorescence and Addition polymer.
His Carbon research includes themes of Full width at half maximum, Absorption, Quantum yield, Fluorescence and Photochemistry.
His Wavelength study frequently draws connections to other fields, such as Photoluminescence.
Quality combines with fields such as Biological imaging, Brightness, Window and Thiophene in his work.
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.
