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
Mechanical and Aerospace Engineering D-index 43 Citations 10,364 162 World Ranking 491 National Ranking 224

Research.com Recognitions

Awards & Achievements

1999 - Fellow of the American Society of Mechanical Engineers


What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Mechanical engineering
  • Finite element method

Kyung K. Choi focuses on Mathematical optimization, Reliability, Probabilistic logic, Sensitivity and Engineering design process. His studies deal with areas such as Algorithm, Probability distribution and Nonlinear system as well as Mathematical optimization. The Reliability study combines topics in areas such as Stability, Response surface methodology, Process and Measure.

His Probabilistic logic study combines topics from a wide range of disciplines, such as Durability, Reliability based design, Probabilistic design, Constraint and Moment. His study in Sensitivity is interdisciplinary in nature, drawing from both Moving least squares, Applied mathematics and Structural engineering, Structural system, Finite element method. His Engineering design process study combines topics in areas such as Reliability engineering, Numerical analysis and Random variable.

His most cited work include:

  • Design Sensitivity Analysis of Structural Systems (1400 citations)
  • Hybrid Analysis Method for Reliability-Based Design Optimization (486 citations)

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

His scientific interests lie mostly in Sensitivity, Mathematical optimization, Reliability, Finite element method and Structural engineering. His biological study spans a wide range of topics, including Material derivative, Variable, Mathematical analysis and Configuration design. His work deals with themes such as Algorithm, Probabilistic logic, Applied mathematics and Dimensionality reduction, which intersect with Mathematical optimization.

His study looks at the intersection of Probabilistic logic and topics like Monte Carlo method with Sampling. His Reliability research includes elements of Random variable, Measure, Reliability engineering, Measure and Engineering design process. His Finite element method research includes themes of Finite difference, Numerical analysis, Optimal design and Structural system.

He most often published in these fields:

  • Sensitivity (35.82%)
  • Mathematical optimization (32.98%)
  • Reliability (22.70%)

What were the highlights of his more recent work (between 2012-2020)?

  • Reliability (22.70%)
  • Mathematical optimization (32.98%)
  • Monte Carlo method (6.74%)

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

His main research concerns Reliability, Mathematical optimization, Monte Carlo method, Probabilistic logic and Sensitivity. Kyung K. Choi has researched Reliability in several fields, including Reliability engineering, Failure rate, Process and Random variable. His Mathematical optimization research is multidisciplinary, incorporating perspectives in Copula, Applied mathematics, Kriging and Dimensionality reduction.

Kyung K. Choi combines subjects such as Constraint, Probability distribution and Probabilistic-based design optimization with his study of Probabilistic logic. His Sensitivity research is multidisciplinary, incorporating elements of Sampling, Structural engineering, Engineering design process and Standard deviation. Kyung K. Choi interconnects Function, Computation, Finite element method and Curse of dimensionality in the investigation of issues within Surrogate model.

Between 2012 and 2020, his most popular works were:

  • Development and validation of a dynamic metamodel based on stochastic radial basis functions and uncertainty quantification (59 citations)
  • Reliability-based design optimization of wind turbine blades for fatigue life under dynamic wind load uncertainty (53 citations)
  • Adaptive virtual support vector machine for reliability analysis of high-dimensional problems (46 citations)

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

  • Statistics
  • Mechanical engineering
  • Mathematical analysis

His primary scientific interests are in Surrogate model, Mathematical optimization, Kriging, Monte Carlo method and Drag. His Mathematical optimization study integrates concerns from other disciplines, such as Copula, Applied mathematics and Dimensionality reduction. His research integrates issues of Thermal conductivity, Optimal design, Fin and Nonlinear system in his study of Kriging.

His work carried out in the field of Monte Carlo method brings together such families of science as Sampling, Score, Standard deviation and Sensitivity. His research in Sensitivity intersects with topics in Service life, Probabilistic logic, Structural engineering, Range and Engineering design process. The various areas that he examines in his Engineering design process study include Reliability, Statistical model and Algorithm.

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

Design Sensitivity Analysis of Structural Systems

E.J. Haug;K.K. Choi;V. Komkov.

2282 Citations


J. Tu;K. K. Choi;Y. H. Park.
Journal of Mechanical Design (1999)

1074 Citations

Hybrid Analysis Method for Reliability-Based Design Optimization

Byeng D. Youn;Kyung K. Choi;Young H. Park;Young H. Park.
design automation conference (2001)

757 Citations

A new response surface methodology for reliability-based design optimization

Byeng D. Youn;Kyung K. Choi.
Computers & Structures (2004)

423 Citations

Reliability-based design optimization for crashworthiness of vehicle side impact

B. D. Youn;K. K. Choi;R. J. Yang;L. Gu.
Structural and Multidisciplinary Optimization (2004)

389 Citations

Structural Sensitivity Analysis and Optimization 1: Linear Systems

Kyung K. Choi;Nam-Ho Kim.
ssao (2005)

350 Citations

Enriched Performance Measure Approach for Reliability-Based Design Optimization.

Byeng D. Youn;Kyung K. Choi;Liu Du.
AIAA Journal (2005)

345 Citations

Structural sensitivity analysis and optimization

Kyung K. Choi;Nam H. Kim.

292 Citations

Selecting Probabilistic Approaches for Reliability-Based Design Optimization

Byeng D. Youn;Kyung K. Choi.
AIAA Journal (2004)

271 Citations

An Investigation of Nonlinearity of Reliability-Based Design Optimization Approaches

Byeng D. Youn;Kyung K. Choi.
design automation conference (2002)

237 Citations

Best Scientists Citing Kyung K. Choi

Raphael T. Haftka

Raphael T. Haftka

University of Florida

Publications: 53

Byeng D. Youn

Byeng D. Youn

Seoul National University

Publications: 52

Nam H. Kim

Nam H. Kim

University of Florida

Publications: 51

Wei Chen

Wei Chen

Microsoft (United States)

Publications: 43

Sankaran Mahadevan

Sankaran Mahadevan

Vanderbilt University

Publications: 40

Xiaoping Du

Xiaoping Du

Indiana University – Purdue University Indianapolis

Publications: 39

Daniel A. Tortorelli

Daniel A. Tortorelli

University of Illinois at Urbana-Champaign

Publications: 36

Liang Gao

Liang Gao

Huazhong University of Science and Technology

Publications: 34

Subrata Mukherjee

Subrata Mukherjee

Cornell University

Publications: 29

Michael Yu Wang

Michael Yu Wang

Hong Kong University of Science and Technology

Publications: 28

Xiaodong Huang

Xiaodong Huang

Swinburne University of Technology

Publications: 26

Kurt Maute

Kurt Maute

University of Colorado Boulder

Publications: 25

Panos Y. Papalambros

Panos Y. Papalambros

University of Michigan–Ann Arbor

Publications: 24

Hong-Zhong Huang

Hong-Zhong Huang

University of Electronic Science and Technology of China

Publications: 24

Jasbir S. Arora

Jasbir S. Arora

University of Iowa

Publications: 23

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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