D-Index & Metrics

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Materials Science D-index 88 Citations 26,437 706 World Ranking 963 National Ranking 228

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Internal medicine
  • Quantum mechanics

His primary scientific interests are in Organic solar cell, Optoelectronics, Energy conversion efficiency, Nanotechnology and Polymer. His study explores the link between Organic solar cell and topics such as Acceptor that cross with problems in Small molecule, Photochemistry and Fullerene. A large part of his Optoelectronics studies is devoted to Solar cell.

He works in the field of Nanotechnology, namely Graphene. The concepts of his Polymer study are interwoven with issues in Band gap and Polymer chemistry. His research brings together the fields of Chemical engineering and Polymer solar cell.

His most cited work include:

  • Atomic layers of hybridized boron nitride and graphene domains (1563 citations)
  • Single-junction polymer solar cells with high efficiency and photovoltage (1292 citations)
  • Cross-Reactive Antibody Responses to the 2009 Pandemic H1N1 Influenza Virus (1137 citations)

What are the main themes of his work throughout his whole career to date?

Feng Liu focuses on Optoelectronics, Condensed matter physics, Chemical engineering, Cell biology and Polymer. Feng Liu studies Optoelectronics, focusing on Energy conversion efficiency in particular. His Polymer study frequently draws connections between related disciplines such as Polymer chemistry.

His Polymer solar cell research includes elements of Organic solar cell and Acceptor.

He most often published in these fields:

  • Optoelectronics (8.51%)
  • Condensed matter physics (7.59%)
  • Chemical engineering (8.26%)

What were the highlights of his more recent work (between 2019-2021)?

  • Organic solar cell (6.80%)
  • Chemical engineering (8.26%)
  • Optoelectronics (8.51%)

In recent papers he was focusing on the following fields of study:

His primary areas of study are Organic solar cell, Chemical engineering, Optoelectronics, Acceptor and Energy conversion efficiency. Polymer covers Feng Liu research in Organic solar cell. His Polymer study focuses on Conjugated system in particular.

He works in the field of Chemical engineering, namely Morphology. His Acceptor research incorporates themes from Photochemistry and Polymer solar cell.

Between 2019 and 2021, his most popular works were:

  • Viral and host factors related to the clinical outcome of COVID-19. (312 citations)
  • Subtle Molecular Tailoring Induces Significant Morphology Optimization Enabling over 16% Efficiency Organic Solar Cells with Efficient Charge Generation. (111 citations)
  • Efficient Organic Solar Cell With 16.88% Efficiency Enabled by Refined Acceptor Crystallization and Morphology With Improved Charge Transfer and Transport Properties (100 citations)

In his most recent research, the most cited papers focused on:

  • Gene
  • Quantum mechanics
  • Enzyme

His main research concerns Organic solar cell, Energy conversion efficiency, Acceptor, Optoelectronics and Chemical engineering. His Organic solar cell course of study focuses on Crystallinity and Photocurrent. His Energy conversion efficiency research includes themes of Fullerene, Absorption, Active layer, Photovoltaic system and Band gap.

His work deals with themes such as Electron transport chain, Polymer, Polymer solar cell, Photochemistry and HOMO/LUMO, which intersect with Acceptor. His research in Polymer intersects with topics in Thiophene, Electron mobility and Nanotechnology. His studies deal with areas such as Copolymer and Miscibility as well as Chemical engineering.

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.

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