World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
50
Citations
9594
World Ranking
4083
National Ranking
272

Runming Yao 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 Runming Yao 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: 197 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Runming Yao 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 Runming Yao 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: 50 D-Index — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Overview

Runming Yao is affiliated with the University of Reading in the United Kingdom and has established a substantial body of research primarily in environmental science and engineering. Their work focuses on topics related to building energy optimization, urban environmental conditions, and human comfort in built environments.

The scientist's recent publications include:

  • "Evolution and performance analysis of adaptive thermal comfort models - A comprehensive literature review" (2022) published in Building and Environment
  • "A machine-learning-based approach to predict residential annual space heating and cooling loads considering occupant behaviour" (2020) published in Energy
  • "Modelling heating and cooling energy demand for building stock using a hybrid approach" (2021) published in Energy and Buildings
  • "Thermal comfort in hospital buildings - A literature review" (2021) published in Journal of Building Engineering
  • "How do urban residents use energy for winter heating at home? A large-scale survey in the hot summer and cold winter climate zone in the Yangtze River region" (2020) published in Energy and Buildings

Frequent co-authors collaborating with Runming Yao include:

  • Baizhan Li
  • Chenqiu Du
  • Shan Zhou
  • Hong Liu
  • Shaoxing Zhang

Runming Yao has published extensively in several key venues that specialize in building science and environmental research. These venues include:

  • Building and Environment
  • Energy and Buildings
  • Journal of Building Engineering
  • SSRN Electronic Journal
  • The Science of The Total Environment

The scientist's research covers several main fields of study, such as:

  • Environmental Science
  • Engineering
  • Medicine

Their work is further categorized into subfields that concentrate on building-related and environmental engineering topics alongside health sciences:

  • Building and Construction
  • Environmental Engineering
  • Health, Toxicology and Mutagenesis
  • Speech and Hearing
  • Physiology

The primary topics explored in their research portfolio include:

  • Building Energy and Comfort Optimization
  • Urban Heat Island Mitigation
  • Wind and Air Flow Studies
  • Noise Effects and Management
  • Thermoregulation and physiological responses
  • Climate Change and Health Impacts
  • Air Quality and Health Impacts

Best Publications

  • A theoretical adaptive model of thermal comfort – Adaptive Predicted Mean Vote (aPMV)

    Runming Yao;Runming Yao;Baizhan Li;Jing Liu

  • A method of formulating energy load profile for domestic buildings in the UK

    Runming Yao;Koen Steemers

  • A review of the performance of different ventilation and airflow distribution systems in buildings

    Guangyu Cao;Hazim B. Awbi;Runming Yao;Yunqing Fan

  • A key review of building integrated photovoltaic (BIPV) systems

    Emrah Biyik;Mustafa Araz;Arif Hepbasli;Mehdi Shahrestani

  • Can microgrids make a major contribution to UK energy supply

    Suleiman Abu-Sharkh;RJ Arnold;J Kohler;R Li

  • Energy policy and standard for built environment in China

    Runming Yao;Baizhan Li;Koen Steemers

  • Urbanisation and its impact on building energy consumption and efficiency in China

    Baizhan Li;Runming Yao

  • Seasonal variation of thermal sensations in residential buildings in the Hot Summer and Cold Winter zone of China

    Hong Liu;Yuxin Wu;Baizhan Li;Yong Cheng

  • A review of advanced air distribution methods - theory, practice, limitations and solutions

    Bin Yang;Bin Yang;A.K. Melikov;Alan Kabanshi;C. Zhang

  • Occupants' adaptive responses and perception of thermal environment in naturally conditioned university classrooms

    Runming Yao;Runming Yao;Jing Liu;Baizhan Li

  • Evolution and performance analysis of adaptive thermal comfort models – A comprehensive literature review

    Unknown

  • The effect of passive measures on thermal comfort and energy conservation. A case study of the hot summer and cold winter climate in the Yangtze River region

    Runming Yao;Runming Yao;Vincenzo Costanzo;Xinyi Li;Qiulei Zhang

  • Indoor thermal environments in Chinese residential buildings responding to the diversity of climates

    Baizhan Li;Chenqiu Du;Runming Yao;Runming Yao;Wei Yu

  • A machine-learning-based approach to predict residential annual space heating and cooling loads considering occupant behaviour

    Xinyi Li;Runming Yao;Runming Yao

  • An introduction to the Chinese Evaluation Standard for the indoor thermal environment

    Baizhan Li;Runming Yao;Runming Yao;Qinqing Wang;Yungang Pan

  • Modelling heating and cooling energy demand for building stock using a hybrid approach

    Xinyi Li;Xinyi Li;Runming Yao;Runming Yao

  • An investigation of the existing situation and trends in building energy efficiency management in China

    Jing Liang;Baizhan Li;Yong Wu;Runming Yao

  • Thermal comfort in hospital buildings – A literature review

    Feng Yuan;Runming Yao;Runming Yao;Sasan Sadrizadeh;Baiyi Li

  • A study of thermal comfort in residential buildings on the Tibetan Plateau, China

    Wei Yu;Baizhan Li;Runming Yao;Di Wang

  • A method to weight three categories of adaptive thermal comfort

    Jing Liu;Runming Yao;Rachel McCloy

  • Occupants’ behavioural adaptation in workplaces with non-central heating and cooling systems

    Jing Liu;Runming Yao;Juan Wang;Baizhan Li

  • Assessing the natural ventilation cooling potential of office buildings in different climate zones in China

    Runming Yao;Baizhan Li;Koen Steemers;Alan Short

  • A method of identifying and weighting indicators of energy efficiency assessment in Chinese residential buildings

    Yulan Yang;Yulan Yang;Baizhan Li;Runming Yao;Runming Yao

  • A study of adaptive thermal comfort in a well-controlled climate chamber

    Yu Yang;Baizhan Li;Hong Liu;Meilan Tan

Frequent Co-Authors

Baizhan Li
Baizhan Li Chongqing University
Koen Steemers
Koen Steemers University of Cambridge
Armando C. Oliveira
Armando C. Oliveira University of Porto
Arif Hepbasli
Arif Hepbasli Yaşar University
Kecheng Liu
Kecheng Liu University of Reading
Per Heiselberg
Per Heiselberg Aalborg University
Hazim B. Awbi
Hazim B. Awbi University of Reading
Arsen Krikor Melikov
Arsen Krikor Melikov Technical University of Denmark
Jianlei Niu
Jianlei Niu Hong Kong Polytechnic University
Zhan Shu
Zhan Shu University of Alberta

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