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Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
33
Citations
3025
World Ranking
950
National Ranking
305

Engineering and Technology

D-Index
35
Citations
3336
World Ranking
9101
National Ranking
1530

Minhyun Lee 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 Minhyun Lee 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: 91 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Minhyun Lee 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 Minhyun Lee 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: 35 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Minhyun Lee is affiliated with the Hong Kong Polytechnic University in China. Their research centers primarily on engineering and environmental science, with notable contributions across building and construction, electrical and electronic engineering, environmental engineering, social psychology, and pollution.

Their scholarly output encompasses a range of topics, including:

  • Building Energy and Comfort Optimization
  • Smart Grid Energy Management
  • Electric Vehicles and Infrastructure
  • Energy and Environment Impacts
  • Sustainable Building Design and Assessment
  • Green IT and Sustainability
  • Noise Effects and Management

Lee's research articles have appeared in several publication venues frequently, which reflect their areas of focus:

  • Energy and Buildings
  • Renewable and Sustainable Energy Reviews
  • SSRN Electronic Journal
  • Building and Environment
  • Journal of Cleaner Production

Among their recent papers are:

  • "Energy consumption prediction and household feature analysis for different residential building types using machine learning and SHAP: Toward energy-efficient buildings," 2024, Energy and Buildings
  • "Determining the optimal window size of office buildings considering the workers' task performance and the building's energy consumption," 2020, Building and Environment
  • "How to better share energy towards a carbon-neutral city? A review on application strategies of battery energy storage system in city," 2022, Renewable and Sustainable Energy Reviews
  • "Influence of interior layouts on occupant energy-saving behaviour in buildings: An integrated approach using Agent-Based Modelling, System Dynamics and Building Information Modelling," 2022, Renewable and Sustainable Energy Reviews
  • "Grid parity analysis of photovoltaic systems considering feed-in tariff and renewable energy certificate schemes in Hong Kong," 2023, Renewable and Sustainable Energy Reviews

Frequent co-authors of Minhyun Lee include:

  • Taehoon Hong
  • Ruixiaoxiao Zhang
  • Lijie Huang
  • Choongwan Koo
  • Mohammad Nyme Uddin

Their interdisciplinary work integrates advanced machine learning techniques, system modeling, and sustainable energy strategies to address challenges in energy consumption, occupant behavior, and urban energy systems.

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

  • Development of a new energy benchmark for improving the operational rating system of office buildings using various data-mining techniques

    Hyo Seon Park;Minhyun Lee;Hyuna Kang;Taehoon Hong

  • Occupant responses on satisfaction with window size in physical and virtual built environments

    Taehoon Hong;Minhyun Lee;Seungkeun Yeom;Kwangbok Jeong

  • Determining the Peer-to-Peer electricity trading price and strategy for energy prosumers and consumers within a microgrid

    Jongbaek An;Minhyun Lee;Seungkeun Yeom;Taehoon Hong

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

    Unknown

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

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

  • Determining the optimal window size of office buildings considering the workers' task performance and the building's energy consumption

    Seungkeun Yeom;Hakpyeong Kim;Taehoon Hong;Minhyun Lee;Minhyun Lee

  • An integrated evaluation of productivity, cost and CO2 emission between prefabricated and conventional columns

    Jaewook Jeong;Taehoon Hong;Changyoon Ji;Jimin Kim

  • A multi-objective optimization model for determining the building design and occupant behaviors based on energy, economic, and environmental performance

    Taehoon Hong;Jimin Kim;Minhyun Lee

  • How to better share energy towards a carbon-neutral city? A review on application strategies of battery energy storage system in city

    Unknown

  • 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

  • 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

  • Establishment of an optimal occupant behavior considering the energy consumption and indoor environmental quality by region

    Jimin Kim;Taehoon Hong;Jaemin Jeong;Myeonghwi Lee

  • Impact of different LEED versions for green building certification and energy efficiency rating system: A Multifamily Midrise case study

    Ankush Rastogi;Jun Ki Choi;Taehoon Hong;Minhyun Lee

  • A bottom-up approach for estimating the economic potential of the rooftop solar photovoltaic system considering the spatial and temporal diversity

    Minhyun Lee;Taehoon Hong;Kwangbok Jeong;Kwangbok Jeong;Jimin Kim

  • Framework for the mapping of the monthly average daily solar radiation using an advanced case-based reasoning and a geostatistical technique.

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

  • Influence of interior layouts on occupant energy-saving behaviour in buildings: An integrated approach using Agent-Based Modelling, System Dynamics and Building Information Modelling

    Unknown

  • Hybrid agent-based modeling of rooftop solar photovoltaic adoption by integrating the geographic information system and data mining technique

    Minhyun Lee;Taehoon Hong

  • Development of an evaluation process for green and non-green buildings focused on energy performance of G-SEED and LEED

    Jaewook Jeong;Taehoon Hong;Changyoon Ji;Jimin Kim

  • Techno-economic performance analysis of the smart solar photovoltaic blinds considering the photovoltaic panel type and the solar tracking method

    Hyuna Kang;Taehoon Hong;Seunghoon Jung;Minhyun Lee

  • Establishing environmental benchmarks to determine the environmental performance of elementary school buildings using LCA

    Changyoon Ji;Taehoon Hong;Jaewook Jeong;Jimin Kim

  • An economic impact analysis of state solar incentives for improving financial performance of residential solar photovoltaic systems in the United States

    Minhyun Lee;Taehoon Hong;Choongwan Koo

  • A Preliminary Study on the 2-axis Hybrid Solar Tracking Method for the Smart Photovoltaic Blind☆

    Taehoon Hong;Kwangbok Jeong;Cheolwoo Ban;Jaeyoung Oh

Frequent Co-Authors

Taehoon Hong
Taehoon Hong Yonsei University
Choongwan Koo
Choongwan Koo Incheon National University
Hyo Seon Park
Hyo Seon Park Yonsei University

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