World's Best Scientists 2026 revealed!
ChangKyoo Yoo

ChangKyoo Yoo

D-Index & Metrics

Engineering and Technology

D-Index
57
Citations
14296
World Ranking
2609
National Ranking
49

ChangKyoo Yoo publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where ChangKyoo Yoo sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 406 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

ChangKyoo Yoo D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where ChangKyoo Yoo sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 57 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

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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