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Peng Chen

Peng Chen

Anhui University
China

Overview

What is he best known for?

The fields of study he is best known for:

Gene
Quantum mechanics
Enzyme

His primary areas of study are Nanotechnology, Graphene, Chemical engineering, Nanoparticle and Oxide. His work deals with themes such as Electrochemistry and Electrode, which intersect with Nanotechnology. His studies deal with areas such as Supercapacitor, Chemical vapor deposition and Raman spectroscopy as well as Graphene.

His study focuses on the intersection of Raman spectroscopy and fields such as Scanning electron microscope with connections in the field of Transmission electron microscopy and Analytical chemistry. Peng Chen usually deals with Chemical engineering and limits it to topics linked to Carbon and Lithium. His Nanoparticle study combines topics in areas such as Molecular imaging, Nir fluorescence, Photodynamic therapy and Nanocomposite.

His most cited work include:

3D Graphene–Cobalt Oxide Electrode for High-Performance Supercapacitor and Enzymeless Glucose Detection (1230 citations)
Biological and chemical sensors based on graphene materials (1212 citations)
Glowing Graphene Quantum Dots and Carbon Dots: Properties, Syntheses, and Biological Applications (1075 citations)

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

Peng Chen mainly focuses on Nanotechnology, Optoelectronics, Graphene, Chemical engineering and Artificial intelligence. Much of his study explores Nanotechnology relationship to Electrode. Optoelectronics is often connected to Perovskite in his work.

His Graphene study frequently draws connections to adjacent fields such as Oxide. His Artificial intelligence research incorporates themes from Machine learning and Pattern recognition.

He most often published in these fields:

Nanotechnology (15.89%)
Optoelectronics (10.39%)
Graphene (9.01%)

What were the highlights of his more recent work (between 2018-2021)?

Chemical engineering (8.48%)
Optoelectronics (10.39%)
Composite material (6.26%)

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

His primary areas of investigation include Chemical engineering, Optoelectronics, Composite material, Artificial intelligence and Condensed matter physics. Nanoparticle is the focus of his Chemical engineering research. His work in Energy conversion efficiency and Quantum dot are all subfields of Optoelectronics research.

Peng Chen interconnects Crystallization and Energy storage in the investigation of issues within Composite material. The various areas that Peng Chen examines in his Artificial intelligence study include Machine learning and Pattern recognition.

Between 2018 and 2021, his most popular works were:

Recent Advances on Graphene Quantum Dots: From Chemistry and Physics to Applications (170 citations)
Ligand-assisted cation-exchange engineering for high-efficiency colloidal Cs1−xFAxPbI3 quantum dot solar cells with reduced phase segregation (99 citations)
Boosting the Photocatalytic Ability of Cu2O Nanowires for CO2 Conversion by MXene Quantum Dots (97 citations)

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

Gene
Quantum mechanics
Enzyme

Peng Chen mainly investigates Chemical engineering, Optoelectronics, Nanotechnology, Convolutional neural network and Artificial intelligence. His studies in Chemical engineering integrate themes in fields like Cathode, Electrolyte, Catalysis and Lithium. His Optoelectronics research is multidisciplinary, incorporating elements of Perovskite, Water splitting and Solar energy.

The Nanotechnology study combines topics in areas such as Oxide and Semiconductor. His study looks at the relationship between Convolutional neural network and fields such as Deep learning, as well as how they intersect with chemical problems. The concepts of his Graphene study are interwoven with issues in Mesoporous silica, Mesoporous material, Nanocomposite and Carbon nanotube.

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.

Best Publications

Biological and chemical sensors based on graphene materials

Yuxin Liu;Xiaochen Dong;Peng Chen.
Chemical Society Reviews (2012)

1712 Citations

3D Graphene–Cobalt Oxide Electrode for High-Performance Supercapacitor and Enzymeless Glucose Detection

Xiao-Chen Dong;Hang Xu;Xue-Wan Wang;Yin-Xi Huang.
ACS Nano (2012)

1574 Citations

Heteroatom-doped graphene materials: syntheses, properties and applications

Xuewan Wang;Gengzhi Sun;Parimal Routh;Dong-Hwan Kim.
Chemical Society Reviews (2014)

1456 Citations

High H2 uptake by alkali-doped carbon nanotubes under ambient pressure and moderate temperatures

P. Chen;X. Wu;J. Lin;K. L. Tan.
Science (1999)

1389 Citations

Glowing Graphene Quantum Dots and Carbon Dots: Properties, Syntheses, and Biological Applications

Xin Ting Zheng;Arundithi Ananthanarayanan;Kathy Qian Luo;Peng Chen.
Small (2015)

1113 Citations

The genetic architecture of type 2 diabetes

Christian Fuchsberger;Christian Fuchsberger;Jason A. Flannick;Jason A. Flannick;Tanya M. Teslovich;Anubha Mahajan.
Nature (2016)

1022 Citations

In Situ Synthesis of Metal Nanoparticles on Single-Layer Graphene Oxide and Reduced Graphene Oxide Surfaces

Xiaozhu Zhou;Xiao Huang;Xiaoying Qi;Shixin Wu.
Journal of Physical Chemistry C (2009)

779 Citations

Doping single-layer graphene with aromatic molecules.

Xiaochen Dong;Dongliang Fu;Wenjing Fang;Yumeng Shi.
Small (2009)

663 Citations

Centimeter-Long and Large-Scale Micropatterns of Reduced Graphene Oxide Films: Fabrication and Sensing Applications

Qiyuan He;Herry Gunadi Sudibya;Zongyou Yin;Shixin Wu.
ACS Nano (2010)

633 Citations

Electrical Detection of DNA Hybridization with Single-Base Specificity Using Transistors Based on CVD-Grown Graphene Sheets

Xiaochen Dong;Yumeng Shi;Yumeng Shi;Wei Huang;Peng Chen.
Advanced Materials (2010)

612 Citations

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Citations by year

Frequent Co-Authors

External Links

Personal Website for Peng Chen