World's Best Scientists 2026 revealed!
ChangKyoo Yoo

ChangKyoo Yoo

D-Index & Metrics

Engineering and Technology

D-Index
57
Citations
14296
World Ranking
2607
National Ranking
49

Overview

ChangKyoo Yoo is affiliated with Kyung Hee University in South Korea. Their research spans across the fields of Engineering and Environmental Science, with particular focus on subfields such as Electrical and Electronic Engineering, Environmental Engineering, Water Science and Technology, Control and Systems Engineering, and Health, Toxicology and Mutagenesis.

The scientist's work covers a range of main topics including:

  • Air Quality Monitoring and Forecasting
  • Air Quality and Health Impacts
  • Integrated Energy Systems Optimization
  • Water Quality Monitoring Technologies
  • Thermodynamic and Exergetic Analyses of Power and Cooling Systems
  • Hybrid Renewable Energy Systems
  • Water-Energy-Food Nexus Studies

ChangKyoo Yoo has contributed to multiple research papers, some of which have been published in notable venues such as Renewable and Sustainable Energy Reviews, IEEE Transactions on Industrial Informatics, Control Engineering Practice, Energy, and Applied Soft Computing. Selected recent publications include:

  • A deep learning-based forecasting model for renewable energy scenarios to guide sustainable energy policy: A case study of Korea (2020) - Renewable and Sustainable Energy Reviews
  • Data-Driven Hybrid Model for Forecasting Wastewater Influent Loads Based on Multimodal and Ensemble Deep Learning (2020) - IEEE Transactions on Industrial Informatics
  • Soft sensor validation for monitoring and resilient control of sequential subway indoor air quality through memory-gated recurrent neural networks-based autoencoders (2020) - Control Engineering Practice
  • Sustainable energies and machine learning: An organized review of recent applications and challenges (2022) - Energy
  • Soft sensor modeling of industrial process data using kernel latent variables-based relevance vector machine (2020) - Applied Soft Computing

The scientist frequently collaborates with researchers such as SungKu Heo, Shahzeb Tariq, Pouya Ifaei, KiJeon Nam, and Jorge Loy-Benitez. Collaborations with these coauthors underscore partnerships across multiple studies and publications.

ChangKyoo Yoo's research has been published predominantly in the following venues:

  • Energy
  • Journal of Water Process Engineering
  • Energy Conversion and Management
  • Building and Environment
  • Renewable and Sustainable Energy Reviews

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

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

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

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

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

  • A deep learning-based forecasting model for renewable energy scenarios to guide sustainable energy policy: A case study of Korea

    KiJeon Nam;Soonho Hwangbo;ChangKyoo Yoo

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

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

  • Neutralization and utilization of red mud for its better waste management

    Suchita Rai;J. Mukhopadhyay;Chang Kyoo Yoo;Hasan Uslu

  • Synthesis, characterization and application of 1-butyl-3-methylimidazolium tetrafluoroborate for extractive desulfurization of liquid fuel

    Swapnil A. Dharaskar;Kailas L. Wasewar;Kailas L. Wasewar;Mahesh N. Varma;Diwakar Z. Shende

  • Performance of a two-tier geosynthetic reinforced segmental retaining wall under a surcharge load: Full-scale load test and 3D finite element analysis

    Unknown

  • Bioreducible Block Copolymers Based on Poly(Ethylene Glycol) and Poly(γ-Benzyl L-Glutamate) for Intracellular Delivery of Camptothecin

    Thavasyappan Thambi;Hong Yeol Yoon;Kwangmeyung Kim;Ick Chan Kwon

  • Synthesis, Characterization and Application of 1-Butyl-3 Methylimidazolium Chloride as Green Material for Extractive Desulfurization of Liquid Fuel

    Swapnil A. Dharaskar;Mahesh N. Varma;Diwakar Z. Shende;Chang Kyoo Yoo

  • 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

  • Multi-objective decision-making and optimal sizing of a hybrid renewable energy system to meet the dynamic energy demands of a wastewater treatment plant

    Hai Tra Nguyen;Usman Safder;X.Q. Nhu Nguyen;ChangKyoo Yoo

  • Modeling and genetic algorithm-based multi-objective optimization of the MED-TVC desalination system

    Iman Janghorban Esfahani;Abtin Ataei;Vidya Shetty K;TaeSuk Oh

  • Application of multiway ICA for on-line process monitoring of a sequencing batch reactor.

    Chang Kyoo Yoo;Dae Sung Lee;Peter.A. Vanrolleghem

  • Sustainable and reliable design of reverse osmosis desalination with hybrid renewable energy systems through supply chain forecasting using recurrent neural networks

    Qian Li;Jorge Loy-Benitez;KiJeon Nam;Soonho Hwangbo;Soonho Hwangbo

  • Monitoring and prediction of indoor air quality (IAQ) in subway or metro systems using season dependent models

    MinJeong Kim;B. SankaraRao;OnYu Kang;JeongTai Kim

  • Multi-objective optimization of indoor air quality control and energy consumption minimization in a subway ventilation system

    Hongbin Liu;SeungChul Lee;MinJeong Kim;Honglan Shi

  • Thermodynamic and economic studies of two new high efficient power-cooling cogeneration systems based on Kalina and absorption refrigeration cycles

    Jouan Rashidi;Pouya Ifaei;Iman Janghorban Esfahani;Abtin Ataei

  • Multi-model statistical process monitoring and diagnosis of a sequencing batch reactor

    Chang Kyoo Yoo;Chang Kyoo Yoo;Chang Kyoo Yoo;Kris Villez;In-Beum Lee;Christian Rosén

  • An insight into nanocellulose as soft condensed matter: Challenge and future prospective toward environmental sustainability.

    KhangWei Tan;SungKu Heo;MeiLing Foo;Irene MeiLeng Chew

Frequent Co-Authors

In-Beum Lee
In-Beum Lee Pohang University of Science and Technology
Jeong Tai Kim
Jeong Tai Kim Kyung Hee University
Kailas L. Wasewar
Kailas L. Wasewar Visvesvaraya National Institute of Technology
Peter A. Vanrolleghem
Peter A. Vanrolleghem Université Laval
Dominic C.Y. Foo
Dominic C.Y. Foo University of Nottingham Malaysia Campus
Jae Hyung Park
Jae Hyung Park Sungkyunkwan University
Jinquan Wan
Jinquan Wan South China University of Technology
Ehsanolah Assareh
Ehsanolah Assareh Victoria University
Abdolreza Karbassi
Abdolreza Karbassi University of Tehran

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