World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
46
Citations
7636
World Ranking
5193
National Ranking
1470

Jiangfeng Zhang 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 Jiangfeng Zhang 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: 202 publications — 49th percentile

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

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

Jiangfeng Zhang 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 Jiangfeng Zhang 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

Jiangfeng Zhang is affiliated with Clemson University in the United States and works primarily within the field of Engineering. Their research focuses on Electrical and Electronic Engineering, Automotive Engineering, Control and Systems Engineering, Renewable Energy, Sustainability and the Environment, and Energy Engineering and Power Technology.

Their scholarly output includes a strong emphasis on topics such as Smart Grid Energy Management, Electric Vehicles and Infrastructure, Microgrid Control and Optimization, Advanced Battery Technologies Research, Electric and Hybrid Vehicle Technologies, Integrated Energy Systems Optimization, and Electric Power System Optimization.

Zhang has contributed extensively to several publication venues with a notable frequency of papers appearing in Energy, the International Journal of Electrical Power & Energy Systems, Applied Energy, IEEE Access, and Electric Power Systems Research.

Frequent collaborators include Li Li, Dillip Kumar Mishra, Xiaoqiang Guo, Zhigang Lu, and Youhua Yuan.

Among recent publications, the following papers are representative of their research interests:

  • Optimal Placement of Electric Vehicle Charging Stations in the Active Distribution Network (2020, IEEE Access)
  • A review on resilience studies in active distribution systems (2020, Renewable and Sustainable Energy Reviews)
  • Active distribution system resilience quantification and enhancement through multi-microgrid and mobile energy storage (2022, Applied Energy)
  • A comparative study of 13 deep reinforcement learning based energy management methods for a hybrid electric vehicle (2022, Energy)
  • Resilient control based frequency regulation scheme of isolated microgrids considering cyber attack and parameter uncertainties (2021, Applied Energy)

Best Publications

  • Optimal scheduling of household appliances for demand response

    Ditiro Setlhaolo;Xiaohua Xia;Jiangfeng Zhang

  • Minimum cost solution of photovoltaic–diesel–battery hybrid power systems for remote consumers

    Henerica Tazvinga;Xiaohua Xia;Jiangfeng Zhang

  • Low-carbon economic dispatch for electricity and natural gas systems considering carbon capture systems and power-to-gas

    Liangce He;Zhigang Lu;Jiangfeng Zhang;Lijun Geng

  • Optimal Placement of Electric Vehicle Charging Stations in the Active Distribution Network

    Muhammad Zulqarnain Zeb;Kashif Imran;Abraiz Khattak;Abdul Kashif Janjua

  • Dynamics of Discrete-Time Sliding-Mode-Control Uncertain Systems With a Disturbance Compensator

    Shaocheng Qu;Xiaohua Xia;Jiangfeng Zhang

  • A multi-objective optimization model for the life-cycle cost analysis and retrofitting planning of buildings

    Bo Wang;Xiaohua Xia;Jiangfeng Zhang

  • An optimal control model for load shifting—with application in the energy management of a colliery

    Arno Middelberg;Jiangfeng Zhang;Xiaohua Xia

  • A comparative study of clustering techniques for electrical load pattern segmentation

    Amin Rajabi;Mohsen Eskandari;Mojtaba Jabbari Ghadi;Li Li

  • A review on resilience studies in active distribution systems

    Dillip Kumar Mishra;Mojtaba Jabbari Ghadi;Ali Azizivahed;Li Li

  • A multiple objective optimisation model for building energy efficiency investment decision

    Esrom Mahlatsi Malatji;Jiangfeng Zhang;Xiaohua Xia

  • Environmental economic dispatch of integrated regional energy system considering integrated demand response

    Liangce He;Zhigang Lu;Lijun Geng;Jiangfeng Zhang

  • Coordinated operation of electric vehicle charging and wind power generation as a virtual power plant: A multi-stage risk constrained approach

    Mohammad Hossein Abbasi;Mehrdad Taki;Amin Rajabi;Li Li

  • A model predictive control strategy for load shifting in a water pumping scheme with maximum demand charges

    Adam Jacobus van Staden;Jiangfeng Zhang;Xiaohua Xia

  • An application of model predictive control to the dynamic economic dispatch of power generation

    Xiaohua Xia;Jiangfeng Zhang;Ahmed M Elaiw;Ahmed M Elaiw

  • Online Two-Section PV Array Fault Diagnosis With Optimized Voltage Sensor Locations

    Yihua Hu;Jiangfeng Zhang;Wenping Cao;Jiande Wu

  • A new method based on Type-2 fuzzy neural network for accurate wind power forecasting under uncertain data

    Amir Sharifian;M. Jabbari Ghadi;Sahand Ghavidel;Li Li

  • Active distribution system resilience quantification and enhancement through multi-microgrid and mobile energy storage

    Unknown

  • Energy consumption of air conditioners at different temperature set points

    N. Wang;J. Zhang;X. Xia

  • Demand Side Load Management for Big Industrial Energy Users Under Blockchain-Based Peer-to-Peer Electricity Market

    Can Dang;Jiangfeng Zhang;Chung-Ping Kwong;Li Li

  • Smart charging management system for electric vehicles in coupled transportation and power distribution systems

    Lijun Geng;Zhigang Lu;Liangce He;Jiangfeng Zhang

  • Energy Management Strategy in Dynamic Distribution Network Reconfiguration Considering Renewable Energy Resources and Storage

    Ali Azizivahed;Ali Arefi;Sahand Ghavidel;Miadreza Shafie-khah

  • A model predictive control strategy for load shifting in a water pumping scheme with maximum demand charges

    A.J. van Staden;J. Zhang;X. Xia

Frequent Co-Authors

Xiaohua Xia
Xiaohua Xia University of Pretoria
Yihua Hu
Yihua Hu University of York
Xiaoqiang Guo
Xiaoqiang Guo Yanshan University
Joao P. S. Catalao
Joao P. S. Catalao University of Porto
Ramesh C. Bansal
Ramesh C. Bansal University of Sharjah
Wenping Cao
Wenping Cao Anhui University
Stephen J. Finney
Stephen J. Finney University of Edinburgh
Jamshid Aghaei
Jamshid Aghaei Central Queensland University
Ahmed M. Elaiw
Ahmed M. Elaiw King Abdulaziz University

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