World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
11304
World Ranking
5571
National Ranking
39

Overview

In-Beum Lee is affiliated with Pohang University of Science and Technology in South Korea. Their research primarily falls within the field of Engineering, with specific focus on subfields such as Mechanical Engineering, Biomedical Engineering, Materials Chemistry, Aerospace Engineering, and Catalysis.

The scientist's main topics of study include:

  • Chemical Looping and Thermochemical Processes
  • Carbon Dioxide Capture Technologies
  • Nuclear Reactor Physics and Engineering
  • Iron and Steelmaking Processes
  • Graphite, Nuclear Technology, Radiation Studies
  • Catalysts for Methane Reforming
  • Phase Equilibria and Thermodynamics

Published papers feature a focus on energy systems, environmental impact, and techno-economic analyses. Selected recent publications include:

  • An integrative process of blast furnace and SOEC for hydrogen utilization: Techno-economic and environmental impact assessment (2021), Energy Conversion and Management
  • Development and techno-economic study of methanol production from coke-oven gas blended with Linz Donawitz gas (2020), Energy
  • Economically feasible decarbonization of the Haber-Bosch process through supercritical CO2 Allam cycle integration (2021), Applied Energy
  • Techno-economic and environmental impact analysis of tuyere injection of hot reducing gas from low-rank coal gasification in blast furnace (2021), Energy
  • Energy, safety, and absorption efficiency evaluation of a pilot-scale H2S abatement process using MDEA solution in a coke-oven gas (2021), Journal of environmental chemical engineering

Frequent coauthors collaborating with In-Beum Lee include:

  • Suh-Young Lee
  • Young-Seek Yoon
  • Jinsu Kim
  • Hyunmin Oh
  • Jungil Kim

The scientist regularly publishes in several academic journals, among which the most frequent venues are:

  • JOURNAL OF CHEMICAL ENGINEERING OF JAPAN
  • Energy
  • Industrial & Engineering Chemistry Research
  • Energy Conversion and Management
  • Journal of environmental chemical engineering

Best Publications

  • Nonlinear process monitoring using kernel principal component analysis

    Jong-Min Lee;ChangKyoo Yoo;Sang Wook Choi;Peter A. Vanrolleghem

  • Statistical process monitoring with independent component analysis

    Jong-Min Lee;ChangKyoo Yoo;In-Beum Lee

  • Fault detection and identification of nonlinear processes based on kernel PCA

    Sang Wook Choi;Changkyu Lee;Jong-Min Lee;Jin Hyun Park

  • Fault detection and diagnosis based on modified independent component analysis

    Jong-Min Lee;S. Joe Qin;In-Beum Lee

  • Statistical monitoring of dynamic processes based on dynamic independent component analysis

    Jong-Min Lee;ChangKyoo Yoo;In-Beum Lee

  • Fault identification for process monitoring using kernel principal component analysis

    Ji-Hoon Cho;Jong-Min Lee;Sang Wook Choi;Dongkwon Lee

  • Fault detection of batch processes using multiway kernel principal component analysis

    Jong-Min Lee;ChangKyoo Yoo;In-Beum Lee

  • Nonlinear dynamic process monitoring based on dynamic kernel PCA

    Sang Wook Choi;In-Beum Lee

  • On-line monitoring of batch processes using multiway independent component analysis

    Chang Kyoo Yoo;Jong-Min Lee;Peter A. Vanrolleghem;In-Beum Lee

  • Process monitoring using a Gaussian mixture model via principal component analysis and discriminant analysis

    Sang Wook Choi;Jin Hyun Park;In-Beum Lee

  • Fault Detection of Non-Linear Processes Using Kernel Independent Component Analysis

    Jong-Min Lee;S. Joe Qin;In-Beum Lee

  • A novel multivariate regression approach based on kernel partial least squares with orthogonal signal correction

    Kyungpil Kim;Jong-Min Lee;In-Beum Lee

  • Process monitoring based on probabilistic PCA

    Dongsoon Kim;In-Beum Lee

  • Multiblock PLS-based localized process diagnosis

    Sang Wook Choi;In-Beum Lee

  • Adaptive multivariate statistical process control for monitoring time-varying processes

    Sang Wook Choi;Elaine B. Martin;and A. Julian Morris;In-Beum Lee†

  • Limitations and Countermeasures of PID Controllers

    Su Whan Sung;In-Beum Lee

  • An enhanced PID control strategy for unstable processes

    Jin Hyun Park;Su Whan Sung;In-Beum Lee

  • Enhanced process monitoring of fed-batch penicillin cultivation using time-varying and multivariate statistical analysis.

    Jong-Min Lee;Chang Kyoo Yoo;In-Beum Lee

  • Nonlinear modeling and adaptive monitoring with fuzzy and multivariate statistical methods in biological wastewater treatment plants.

    Chang Kyoo Yoo;Peter A Vanrolleghem;In-Beum Lee

  • Sensor fault identification based on time-lagged PCA in dynamic processes

    Changkyu Lee;Sang Wook Choi;In-Beum Lee

  • Dynamic model-based batch process monitoring

    Sang Wook Choi;Julian Morris;In-Beum Lee

Frequent Co-Authors

ChangKyoo Yoo
ChangKyoo Yoo Kyung Hee University
Peter A. Vanrolleghem
Peter A. Vanrolleghem Université Laval
Kun-Hong Lee
Kun-Hong Lee Pohang University of Science and Technology
S. Joe Qin
S. Joe Qin Lingnan University
Ki-Hyun Kim
Ki-Hyun Kim Hanyang University
Moonyong Lee
Moonyong Lee Yeungnam University
Lewis J. Feldman
Lewis J. Feldman University of California, Berkeley
A.J. Morris
A.J. Morris University of Newcastle Australia
Bri-Mathias Hodge
Bri-Mathias Hodge University of Colorado Boulder
Hyung Joon Cha
Hyung Joon Cha Pohang University of Science and Technology

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