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Choongwan Koo

D-Index & Metrics

Engineering and Technology

D-Index
42
Citations
5060
World Ranking
6756
National Ranking
179

Choongwan Koo 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 Choongwan Koo 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: 133 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Choongwan Koo 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 Choongwan Koo 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: 42 D-Index — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Overview

Choongwan Koo is affiliated with Incheon National University in South Korea and specializes in the field of engineering with a focus on building and construction. Their research extensively covers building energy and comfort optimization, as well as BIM and construction integration, occupational health and safety research, noise effects and management, wind and airflow studies, facilities and workplace management, and urban heat island mitigation.

The scientist has contributed to numerous publications, frequently appearing in venues such as Automation in Construction and the Journal of Management in Engineering, with six publications each. Other common publication outlets include Energy and Buildings with four publications, SSRN Electronic Journal with four, and Renewable and Sustainable Energy Reviews with three.

Choongwan Koo has collaborated often with the following coauthors:

  • Taehoon Hong (19 publications)
  • Tae Wan Kim (11 publications)
  • Junsoo Lee (9 publications)
  • Seung Hyun (8 publications)
  • Minhyun Lee (7 publications)

Some recent papers include:

  • "Energy consumption prediction and household feature analysis for different residential building types using machine learning and SHAP: Toward energy-efficient buildings," published in 2024 in Energy and Buildings
  • "A novel operation approach for the energy efficiency improvement of the HVAC system in office spaces through real-time big data analytics," published in 2020 in Renewable and Sustainable Energy Reviews
  • "A real-time optimal control strategy for multi-zone VAV air-conditioning systems adopting a multi-agent based distributed optimization method," published in 2021 in Applied Energy
  • "Performance Optimization Studies on Heating, Cooling and Lighting Energy Systems of Buildings during the Design Stage: A Review," published in 2021 in Sustainability
  • "Toward productivity in future construction: mapping knowledge and finding insights for achieving successful offsite construction projects," published in 2020 in Journal of Computational Design and Engineering

Best Publications

  • A review on sustainable construction management strategies for monitoring, diagnosing, and retrofitting the building's dynamic energy performance: Focused on the operation and maintenance phase

    Taehoon Hong;Choongwan Koo;Jimin Kim;Minhyun Lee

  • Development of a method for estimating the rooftop solar photovoltaic (PV) potential by analyzing the available rooftop area using Hillshade analysis

    Taehoon Hong;Minhyun Lee;Choongwan Koo;Choongwan Koo;Kwangbok Jeong

  • A CBR-based hybrid model for predicting a construction duration and cost based on project characteristics in multi-family housing projects

    ChoongWan KooC. Koo;TaeHoon HongT. Hong;ChangTaek HyunC. Hyun;KyoJin KooK. Koo

  • LCC and LCCO2 analysis of green roofs in elementary schools with energy saving measures

    TaeHoon Hong;JiMin Kim;ChoongWan Koo

  • An estimation model for determining the annual energy cost budget in educational facilities using SARIMA (seasonal autoregressive integrated moving average) and ANN (artificial neural network)

    Kwangbok Jeong;Choongwan Koo;Taehoon Hong

  • A GIS (geographic information system)-based optimization model for estimating the electricity generation of the rooftop PV (photovoltaic) system

    Taehoon Hong;Choongwan Koo;Joonho Park;Hyo Seon Park

  • An optimization model for selecting the optimal green systems by considering the thermal comfort and energy consumption

    Jimin Kim;Taehoon Hong;Jaemin Jeong;Choongwan Koo;Choongwan Koo

  • Energy consumption prediction and household feature analysis for different residential building types using machine learning and SHAP: Toward energy-efficient buildings

    Unknown

  • Economic and environmental evaluation model for selecting the optimum design of green roof systems in elementary schools

    Jimin Kim;Taehoon Hong;Choong Wan Koo

  • The effects of indoor plants and artificial windows in an underground environment

    Jeonghwan Kim;Seung Hyun Cha;Choongwan Koo;Shiu keung Tang

  • Development of a new energy efficiency rating system for existing residential buildings

    Choongwan Koo;Taehoon Hong;Minhyun Lee;Hyo Seon Park

  • An estimation model for the heating and cooling demand of a residential building with a different envelope design using the finite element method

    Choongwan Koo;Sungki Park;Taehoon Hong;Hyo Seon Park

  • A decision support model for reducing electric energy consumption in elementary school facilities

    Taehoon Hong;Choongwan Koo;Kwangbok Jeong

  • The development of a construction cost prediction model with improved prediction capacity using the advanced CBR approach

    ChoongWan Koo;TaeHoon Hong;ChangTaek Hyun

  • Framework for the analysis of the potential of the rooftop photovoltaic system to achieve the net‐zero energy solar buildings

    Choongwan Koo;Taehoon Hong;Hyo Seon Park;Gangcheol Yun

  • An economic and environmental assessment for selecting the optimum new renewable energy system for educational facility

    Taehoon Hong;Choongwan Koo;Taehyun Kwak;Hyo Seon Park

  • An integrated multi-objective optimization model for solving the construction time-cost trade-off problem

    Choongwan Koo;Taehoon Hong;Sangbum Kim

  • An integrated multi-objective optimization model for determining the optimal solution in implementing the rooftop photovoltaic system

    Choongwan Koo;Choongwan Koo;Taehoon Hong;Minhyun Lee;Jimin Kim

  • A decision support model for improving a multi-family housing complex based on CO2 emission from gas energy consumption

    Taehoon Hong;Choongwan Koo;Sungki Park

  • Estimation of the monthly average daily solar radiation using geographic information system and advanced case-based reasoning.

    Choongwan Koo;Taehoon Hong;Minhyun Lee;Minhyun Lee;Hyo Seon Park

  • Spatial perception of ceiling height and type variation in immersive virtual environments

    Seung Hyun Cha;Choongwan Koo;Tae Wan Kim;Taehoon Hong

  • Development of the smart photovoltaic system blind and its impact on net-zero energy solar buildings using technical-economic-political analyses

    Choongwan Koo;Taehoon Hong;Kwangbok Jeong;Cheolwoo Ban

Frequent Co-Authors

Taehoon Hong
Taehoon Hong Yonsei University
Minhyun Lee
Minhyun Lee Hong Kong Polytechnic University
Hyo Seon Park
Hyo Seon Park Yonsei University
Hyun-Joong Kim
Hyun-Joong Kim Seoul National University
Shengwei Wang
Shengwei Wang Hong Kong Polytechnic University

External Links

Personal website of Choongwan Koo Google Scholar page

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Best Scientists Citing Choongwan Koo

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Huanxin Chen

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Publications: 8

Rehan Sadiq

Rehan Sadiq

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Publications: 6

Jinyue Yan

Jinyue Yan

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Publications: 6

Kasun Hewage

Kasun Hewage

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Publications: 6

Juan M. Corchado

Juan M. Corchado

University of Salamanca

Publications: 5

Yongqiang Luo

Yongqiang Luo

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Publications: 5

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Idiano D’Adamo

Sapienza University of Rome

Publications: 5

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Publications: 5

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Publications: 4

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Publications: 4

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