World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
37
Citations
4317
World Ranking
8495
National Ranking
1466

Fubin Yang 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 Fubin Yang 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: 114 publications — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Fubin Yang 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 Fubin Yang 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: 37 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Fubin Yang is affiliated with Beijing University of Technology in China, where their research primarily focuses on engineering, with a significant concentration in mechanical engineering.

Their work covers several subfields, including:

  • Mechanical Engineering
  • Automotive Engineering
  • Electrical and Electronic Engineering
  • Statistical and Nonlinear Physics
  • Control and Systems Engineering

The main topics studied by Fubin Yang encompass:

  • Thermodynamic and Exergetic Analyses of Power and Cooling Systems
  • Refrigeration and Air Conditioning Technologies
  • Advanced Thermodynamic Systems and Engines
  • Advanced Thermodynamics and Statistical Mechanics
  • Advanced Battery Technologies Research
  • Solar Thermal and Photovoltaic Systems
  • Advancements in Battery Materials

Fubin Yang has published extensively in the following venues:

  • Energy
  • Applied Thermal Engineering
  • Energy Conversion and Management
  • Journal of Energy Storage
  • Energies

Frequent co-authors collaborating with Fubin Yang include:

  • Hongguang Zhang
  • Yonghong Xu
  • Xu Ping
  • Yuting Wu
  • Jian Li

Among Fubin Yang's recent papers are:

  • Co-estimation of state of charge and state of health for lithium-ion batteries based on fractional-order model with multi-innovations unscented Kalman filter method, 2022, Journal of Energy Storage
  • Experimental study on small power generation energy storage device based on pneumatic motor and compressed air, 2021, Energy Conversion and Management
  • Optimization of energy management strategy for extended range electric vehicles using multi-island genetic algorithm, 2023, Journal of Energy Storage
  • Introducing machine learning and hybrid algorithm for prediction and optimization of multistage centrifugal pump in an ORC system, 2021, Energy
  • Online identification of battery model parameters and joint state of charge and state of health estimation using dual particle filter algorithms, 2022, International Journal of Energy Research

Best Publications

  • Development and experimental study on organic Rankine cycle system with single-screw expander for waste heat recovery from exhaust of diesel engine

    Ye-Qiang Zhang;Yu-Ting Wu;Guo-Dong Xia;Chong-Fang Ma

  • Artificial neural network (ANN) based prediction and optimization of an organic Rankine cycle (ORC) for diesel engine waste heat recovery

    Fubin Yang;Fubin Yang;Heejin Cho;Hongguang Zhang;Jian Zhang

  • Performance analysis of waste heat recovery with a dual loop organic Rankine cycle (ORC) system for diesel engine under various operating conditions

    Fubin Yang;Xiaorui Dong;Hongguang Zhang;Zhen Wang

  • Thermoeconomic multi-objective optimization of a dual loop organic Rankine cycle (ORC) for CNG engine waste heat recovery

    Fubin Yang;Fubin Yang;Heejin Cho;Hongguang Zhang;Jian Zhang

  • Parametric optimization and performance analysis of ORC (organic Rankine cycle) for diesel engine waste heat recovery with a fin-and-tube evaporator

    Fubin Yang;Hongguang Zhang;Chen Bei;Songsong Song

  • Thermoeconomic multi-objective optimization of an organic Rankine cycle for exhaust waste heat recovery of a diesel engine

    Fubin Yang;Hongguang Zhang;Songsong Song;Chen Bei

  • Co-estimation of state of charge and state of health for lithium-ion batteries based on fractional-order model with multi-innovations unscented Kalman filter method

    Unknown

  • A regenerative supercritical-subcritical dual-loop organic Rankine cycle system for energy recovery from the waste heat of internal combustion engines

    Enhua Wang;Zhibin Yu;Hongguang Zhang;Fubin Yang

  • Study of zeotropic mixtures of ORC (organic Rankine cycle) under engine various operating conditions

    Kai Yang;Hongguang Zhang;Zhen Wang;Jian Zhang

  • Performance analysis of regenerative organic Rankine cycle (RORC) using the pure working fluid and the zeotropic mixture over the whole operating range of a diesel engine

    Jian Zhang;Hongguang Zhang;Kai Yang;Fubin Yang

  • Experimental study on small power generation energy storage device based on pneumatic motor and compressed air

    Yonghong Xu;Yonghong Xu;Hongguang Zhang;Hongguang Zhang;Fubin Yang;Fubin Yang;Liang Tong;Liang Tong

  • Optimization of energy management strategy for extended range electric vehicles using multi-island genetic algorithm

    Unknown

  • Parametric optimization and heat transfer analysis of a dual loop ORC (organic Rankine cycle) system for CNG engine waste heat recovery

    Fubin Yang;Hongguang Zhang;Zhibin Yu;Enhua Wang

  • Comparative analysis and multi-objective optimization of organic Rankine cycle (ORC) using pure working fluids and their zeotropic mixtures for diesel engine waste heat recovery

    Yuwen Fang;Fubin Yang;Fubin Yang;Hongguang Zhang

  • Introducing machine learning and hybrid algorithm for prediction and optimization of multistage centrifugal pump in an ORC system

    Xu Ping;Fubin Yang;Fubin Yang;Hongguang Zhang;Jian Zhang

  • Parametric analysis of a dual-loop ORC system for waste heat recovery of a diesel engine

    E.H. Wang;E.H. Wang;H.G. Zhang;B.Y. Fan;M.G. Ouyang

  • Online identification of battery model parameters and joint state of charge and state of health estimation using dual particle filter algorithms

    Unknown

  • Multi-objective optimization of organic Rankine cycle using hydrofluorolefins (HFOs) based on different target preferences

    Shuozhuo Hu;Jian Li;Fubin Yang;Zhen Yang

  • Prediction and optimization of power output of single screw expander in organic Rankine cycle (ORC) for diesel engine waste heat recovery

    Xu Ping;Fubin Yang;Fubin Yang;Hongguang Zhang;Wujie Zhang

  • Performance analysis of exhaust waste heat recovery system for stationary CNG engine based on organic Rankine cycle

    Songsong Song;Hongguang Zhang;Zongyong Lou;Fubin Yang

  • Experimental investigation of pneumatic motor for transport application

    Yonghong Xu;Hongguang Zhang;Fubin Yang;Liang Tong

  • Thermodynamic, economic, and environmental analysis and multi-objective optimization of a dual loop organic Rankine cycle for CNG engine waste heat recovery

    Xu Ping;Baofeng Yao;Hongguang Zhang;Fubin Yang

  • Global optimization of the diesel engine–organic Rankine cycle (ORC) combined system based on particle swarm optimizer (PSO)

    Rui Zhao;Hongguang Zhang;Songsong Song;Fubin Yang

  • Study of efficiency of a multistage centrifugal pump used in engine waste heat recovery application

    Fanxiao Meng;Hongguang Zhang;Fubin Yang;Xiaochen Hou

Frequent Co-Authors

Yuan-Yuan Duan
Yuan-Yuan Duan Tsinghua University
Minggao Ouyang
Minggao Ouyang Tsinghua University
Pedro J. Mago
Pedro J. Mago West Virginia University
Guodong Xia
Guodong Xia Beijing University of Technology

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