World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
46
Citations
6234
World Ranking
5298
National Ranking
1036

Yongjun Sun 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 Yongjun Sun 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: 129 publications — 18th percentile

18% of scientists in this discipline score the same or lower.

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

Yongjun Sun 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 Yongjun Sun 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: 46 D-Index — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Overview

Yongjun Sun is affiliated with City University of Hong Kong in China, with a research focus concentrated within the broad field of Engineering. Their work covers several key subfields including Building and Construction, Mechanical Engineering, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, and Environmental Engineering.

Their research spans numerous topics, with notable emphasis on:

  • Building Energy and Comfort Optimization
  • Smart Grid Energy Management
  • Solar Thermal and Photovoltaic Systems
  • Wind and Air Flow Studies
  • Phase Change Materials Research
  • Microgrid Control and Optimization
  • Urban Heat Island Mitigation

Yongjun Sun regularly publishes in several specialized venues, evidencing a consistent contribution to the field. Frequent publication outlets include:

  • Applied Energy
  • Energy
  • Building Simulation
  • SSRN Electronic Journal
  • Renewable Energy

Their recent scholarly output includes papers addressing diverse aspects of energy systems and materials. Selected recent publications are:

  • "Statistical investigations of transfer learning-based methodology for short-term building energy predictions," 2020, Applied Energy
  • "Mineral-based form-stable phase change materials for thermal energy storage: A state-of-the art review," 2022, Energy Storage Materials
  • "A novel 3D-geographic information system and deep learning integrated approach for high-accuracy building rooftop solar energy potential characterization of high-density cities," 2021, Applied Energy
  • "Solar-photovoltaic-power-sharing-based design optimization of distributed energy storage systems for performance improvements," 2021, Energy
  • "Improving energy flexibility of a net-zero energy house using a solar-assisted air conditioning system with thermal energy storage and demand-side management," 2021, Applied Energy

The researcher collaborates frequently with several experts, evident from repeated coauthorship. Prominent frequent coauthors include:

  • Haoshan Ren
  • Zhenjun Ma
  • Dian-ce Gao
  • Pei Huang
  • Sheng Zhang

Best Publications

  • Peak load shifting control using different cold thermal energy storage facilities in commercial buildings: A review

    Yongjun Sun;Shengwei Wang;Fu Xiao;Diance Gao

  • Deep learning-based feature engineering methods for improved building energy prediction

    Cheng Fan;Yongjun Sun;Yang Zhao;Mengjie Song

  • Modeling energy consumption in residential buildings: A bottom-up analysis based on occupant behavior pattern clustering and stochastic simulation

    Longquan Diao;Yongjun Sun;Zejun Chen;Jiayu Chen

  • Statistical investigations of transfer learning-based methodology for short-term building energy predictions

    Cheng Fan;Yongjun Sun;Fu Xiao;Jie Ma

  • Optimal scheduling of buildings with energy generation and thermal energy storage under dynamic electricity pricing using mixed-integer nonlinear programming

    Yuehong Lu;Shengwei Wang;Yongjun Sun;Chengchu Yan

  • An interactive building power demand management strategy for facilitating smart grid optimization

    Xue Xue;Shengwei Wang;Yongjun Sun;Fu Xiao

  • Optimum insulation thicknesses and energy conservation of building thermal insulation materials in Chinese zone of humid subtropical climate

    Huakun Huang;Yijun Zhou;Renda Huang;Huijun Wu

  • A multi-criterion renewable energy system design optimization for net zero energy buildings under uncertainties

    Sheng Zhang;Pei Huang;Yongjun Sun

  • Design and optimization of a novel six-axis force/torque sensor for space robot

    Yongjun Sun;Yiwei Liu;Tian Zou;Minghe Jin

  • Energy performance and optimal control of air-conditioned buildings with envelopes enhanced by phase change materials

    Na Zhu;Shengwei Wang;Zhenjun Ma;Yongjun Sun

  • A multi-criteria system design optimization for net zero energy buildings under uncertainties

    Yongjun Sun;Pei Huang;Gongsheng Huang

  • Sensitivity analysis of macro-parameters in the system design of net zero energy building

    Yongjun Sun

  • A novel 3D-geographic information system and deep learning integrated approach for high-accuracy building rooftop solar energy potential characterization of high-density cities

    Haoshan Ren;Chengliang Xu;Zhenjun Ma;Yongjun Sun

  • A study on pipe-embedded wall integrated with ground source-coupled heat exchanger for enhanced building energy efficiency in diverse climate regions

    Anbang Li;Anbang Li;Xinhua Xu;Yongjun Sun

  • Improving energy flexibility of a net-zero energy house using a solar-assisted air conditioning system with thermal energy storage and demand-side management

    Haoshan Ren;Haoshan Ren;Yongjun Sun;Ahmed K. Albdoor;V.V. Tyagi

  • A robust demand response control of commercial buildings for smart grid under load prediction uncertainty

    Dian-ce Gao;Yongjun Sun;Yuehong Lu

  • A study on thermoelectric technology application in net zero energy buildings

    Limei Shen;Xiwang Pu;Yongjun Sun;Jiongde Chen

  • Solar-photovoltaic-power-sharing-based design optimization of distributed energy storage systems for performance improvements

    Pei Huang;Yongjun Sun;Marco Lovati;Marco Lovati;Xingxing Zhang

  • Uncertainty-based life-cycle analysis of near-zero energy buildings for performance improvements

    Pei Huang;Gongsheng Huang;Yongjun Sun

  • Chiller sequencing control with enhanced robustness for energy efficient operation

    Yongjun Sun;Shengwei Wang;Gongsheng Huang

  • A study on semi-supervised learning in enhancing performance of AHU unseen fault detection with limited labeled data

    Cheng Fan;Yichen Liu;Xuyuan Liu;Yongjun Sun

Frequent Co-Authors

Gongsheng Huang
Gongsheng Huang City University of Hong Kong
Shengwei Wang
Shengwei Wang Hong Kong Polytechnic University
Fu Xiao
Fu Xiao Hong Kong Polytechnic University
Zhenjun Ma
Zhenjun Ma University of Wollongong
Xingxing Zhang
Xingxing Zhang Dalarna University
Guoqiang Zhang
Guoqiang Zhang Hunan University
Hongzhi Cui
Hongzhi Cui Ocean University of China
Dengjia Wang
Dengjia Wang Xi'an University of Architecture and Technology
Mengjie Song
Mengjie Song Beijing Institute of Technology
Weihua Li
Weihua Li University of Wollongong

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