D-Index & Metrics Best Publications

D-Index & Metrics

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
Engineering and Technology D-index 97 Citations 34,997 681 World Ranking 34 National Ranking 17

Overview

What is he best known for?

The fields of study he is best known for:

  • Quantum mechanics
  • Gene
  • Enzyme

Wei Chen mostly deals with Mathematical optimization, Engineering design process, Nanotechnology, Graphene and Chemical engineering. His primary area of study in Mathematical optimization is in the field of Probabilistic-based design optimization. Wei Chen has researched Engineering design process in several fields, including Decision support system, Robustness, Artificial intelligence, Metamodeling and Operations research.

Wei Chen works mostly in the field of Nanotechnology, limiting it down to concerns involving Supercapacitor and, occasionally, Carbon. His studies in Graphene integrate themes in fields like Inorganic chemistry, Nanoparticle, Quantum dot, Catalysis and Carbon nanotube. Wei Chen focuses mostly in the field of Chemical engineering, narrowing it down to topics relating to Doping and, in certain cases, PEDOT:PSS and Conductivity.

His most cited work include:

  • Commentary: The Materials Project: A materials genome approach to accelerating materials innovation (2647 citations)
  • Comparative studies of metamodelling techniques under multiple modelling criteria (1233 citations)
  • Effectiveness of convalescent plasma therapy in severe COVID-19 patients. (1013 citations)

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

Chemical engineering, Engineering design process, Mathematical optimization, Optoelectronics and Catalysis are his primary areas of study. His Catalysis study frequently intersects with other fields, such as Inorganic chemistry.

He most often published in these fields:

  • Chemical engineering (8.06%)
  • Engineering design process (6.85%)
  • Mathematical optimization (6.85%)

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

  • Chemical engineering (8.06%)
  • Catalysis (6.68%)
  • Cancer research (2.13%)

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

Wei Chen mainly focuses on Chemical engineering, Catalysis, Cancer research, Electrocatalyst and Internal medicine. His Chemical engineering research is mostly focused on the topic Nanoparticle. Wei Chen combines subjects such as Inorganic chemistry, Faraday efficiency and Overpotential with his study of Catalysis.

His Cancer research research is multidisciplinary, incorporating perspectives in Cancer, Metastasis, microRNA and Apoptosis. His study in Internal medicine focuses on Adverse effect in particular.

Between 2019 and 2021, his most popular works were:

  • Effectiveness of convalescent plasma therapy in severe COVID-19 patients. (1013 citations)
  • Hydroxychloroquine in patients with mainly mild to moderate coronavirus disease 2019: open label, randomised controlled trial. (485 citations)
  • Highly pathogenic coronavirus N protein aggravates lung injury by MASP-2-mediated complement over-activation (152 citations)

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

  • Quantum mechanics
  • Gene
  • Enzyme

Wei Chen mostly deals with Chemical engineering, Catalysis, Electrocatalyst, Electrochemistry and Nanotechnology. His work in Chemical engineering covers topics such as Bifunctional which are related to areas like Hydrogen fuel. The Catalysis study which covers Methane that intersects with Hydrocarbon and Oxygen.

His Electrocatalyst study combines topics from a wide range of disciplines, such as Inorganic chemistry, Phosphide, Overpotential, Water splitting and Selenide. His Electrochemistry research is multidisciplinary, incorporating elements of Chemical substance, Conductive materials, Science, technology and society and Metal-organic framework. Wei Chen has included themes like Polystyrene, Superhydrophilicity and Nickel in his Nanotechnology study.

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

Commentary: The Materials Project: A materials genome approach to accelerating materials innovation

Anubhav Jain;Shyue Ping Ong;Geoffroy Hautier;Wei Chen.
APL Materials (2013)

2952 Citations

Comparative studies of metamodelling techniques under multiple modelling criteria

R. Jin;W. Chen;Timothy William Simpson.
Structural and Multidisciplinary Optimization (2001)

1894 Citations

Sequential Optimization and Reliability Assessment Method for Efficient Probabilistic Design

Xiaoping Du;Wei Chen.
design automation conference (2002)

900 Citations

Dark Matter Results from 54-Ton-Day Exposure of PandaX-II Experiment

Xiangyi Cui;Abdusalam Abdukerim.
Physical Review Letters (2017)

754 Citations

Hydroxychloroquine in patients with mainly mild to moderate coronavirus disease 2019: open label, randomised controlled trial.

Wei Tang;Zhujun Cao;Mingfeng Han;Zhengyan Wang.
BMJ (2020)

749 Citations

A procedure for robust design: Minimizing variations caused by noise factors and control factors

Wei Chen;J. K. Allen;Kwok Leung Tsui;F. Mistree.
Journal of Mechanical Design (1996)

745 Citations

Comparative studies of metamodeling techniques under multiple modeling criteria

Ruichen Jin;Wei Chen;Timothy W. Simpson.
8th Symposium on Multidisciplinary Analysis and Optimization 2000 (2000)

655 Citations

An Efficient Algorithm for Constructing Optimal Design of Computer Experiments

Ruichen Jin;Wei Chen;Agus Sudjianto.
design automation conference (2003)

588 Citations

Sampling Strategies for Computer Experiments: Design and Analysis

T. Simpson;L. Dennis;W. Chen.
International Journal of Reliability and Application (2001)

539 Citations

A synthetic host-guest system achieves avidin-biotin affinity by overcoming enthalpy-entropy compensation.

Mikhail V. Rekharsky;Tadashi Mori;Cheng Yang;Young Ho Ko.
Proceedings of the National Academy of Sciences of the United States of America (2007)

538 Citations

Best Scientists Citing Wei Chen

Kristin A. Persson

Kristin A. Persson

Lawrence Berkeley National Laboratory

Publications: 139

Gerbrand Ceder

Gerbrand Ceder

University of California, Berkeley

Publications: 129

Farrokh Mistree

Farrokh Mistree

University of Oklahoma

Publications: 117

Sankaran Mahadevan

Sankaran Mahadevan

Vanderbilt University

Publications: 107

Janet K. Allen

Janet K. Allen

University of Oklahoma

Publications: 103

Timothy W. Simpson

Timothy W. Simpson

Pennsylvania State University

Publications: 87

Byeng D. Youn

Byeng D. Youn

Seoul National University

Publications: 73

Achille Messac

Achille Messac

Howard University

Publications: 72

Liang Gao

Liang Gao

Huazhong University of Science and Technology

Publications: 69

Shyue Ping Ong

Shyue Ping Ong

University of California, San Diego

Publications: 68

Raphael T. Haftka

Raphael T. Haftka

University of Florida

Publications: 66

Panos Y. Papalambros

Panos Y. Papalambros

University of Michigan–Ann Arbor

Publications: 65

Shaowei Chen

Shaowei Chen

University of California, Santa Cruz

Publications: 64

Kemper Lewis

Kemper Lewis

University at Buffalo, State University of New York

Publications: 64

Q. Jane Wang

Q. Jane Wang

Northwestern University

Publications: 56

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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