World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
47
Citations
8049
World Ranking
4895
National Ranking
1404

Jie 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 Jie 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: 273 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

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

Jie 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 Jie 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: 47 D-Index — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Overview

Jie Zhang is affiliated with The University of Texas at Dallas in the United States. Their research primarily spans the field of Engineering, with a strong focus on Electrical and Electronic Engineering, Control and Systems Engineering, and Artificial Intelligence. Additional areas of interest include Automotive Engineering and Aerospace Engineering.

Their work addresses several main topics, including:

  • Microgrid Control and Optimization
  • Smart Grid Energy Management
  • Energy Load and Power Forecasting
  • Integrated Energy Systems Optimization
  • Solar Radiation and Photovoltaics
  • Electric Vehicles and Infrastructure
  • Optimal Power Flow Distribution

Jie Zhang has contributed to a variety of academic venues, frequently publishing in:

  • arXiv (Cornell University)
  • Applied Energy
  • Solar Energy
  • IEEE Transactions on Smart Grid
  • Journal of Renewable and Sustainable Energy

Selected recent papers include:

  • "Verification of deterministic solar forecasts", 2020, Solar Energy
  • "SolarNet: A sky image-based deep convolutional neural network for intra-hour solar forecasting", 2020, Solar Energy
  • "Self-adapting J-type air-based battery thermal management system via model predictive control", 2020, Applied Energy
  • "A review on the integration of probabilistic solar forecasting in power systems", 2020, Solar Energy
  • "Convolutional neural networks for intra-hour solar forecasting based on sky image sequences", 2022, Applied Energy

They have collaborated frequently with several coauthors, including:

  • Roshni Anna Jacob
  • Morteza Dabbaghjamanesh
  • Cong Feng
  • Binghui Li
  • Soroush Senemmar

Best Publications

  • Unrestricted wind farm layout optimization (UWFLO): Investigating key factors influencing the maximum power generation

    Souma Chowdhury;Jie Zhang;Achille Messac;Luciano Castillo

  • A data-driven multi-model methodology with deep feature selection for short-term wind forecasting

    Cong Feng;Mingjian Cui;Bri-Mathias Hodge;Jie Zhang

  • Optimizing the arrangement and the selection of turbines for wind farms subject to varying wind conditions

    Souma Chowdhury;Jie Zhang;Achille Messac;Luciano Castillo

  • A suite of metrics for assessing the performance of solar power forecasting

    Jie Zhang;Anthony Florita;Bri-Mathias Hodge;Siyuan Lu

  • Design a J-type air-based battery thermal management system through surrogate-based optimization

    Yuanzhi Liu;Jie Zhang

  • Verification of deterministic solar forecasts

    Dazhi Yang;Stefano Alessandrini;Javier Antonanzas;Fernando Antonanzas-Torres

  • Wind Power Ramp Event Forecasting Using a Stochastic Scenario Generation Method

    Mingjian Cui;Deping Ke;Yuanzhang Sun;Di Gan

  • An adaptive hybrid surrogate model

    Jie Zhang;Souma Chowdhury;Achille Messac

  • SolarNet: A sky image-based deep convolutional neural network for intra-hour solar forecasting

    Cong Feng;Jie Zhang

  • A radial basis function-based multi-fidelity surrogate model: exploring correlation between high-fidelity and low-fidelity models

    Xueguan Song;Liye Lv;Wei Sun;Jie Zhang

  • Self-adapting J-type air-based battery thermal management system via model predictive control

    Yuanzhi Liu;Jie Zhang

  • A mixed-discrete Particle Swarm Optimization algorithm with explicit diversity-preservation

    Souma Chowdhury;Weiyang Tong;Achille Messac;Jie Zhang

  • Convolutional neural networks for intra-hour solar forecasting based on sky image sequences

    Unknown

  • Comparison of numerical weather prediction based deterministic and probabilistic wind resource assessment methods

    Jie Zhang;Caroline Draxl;Thomas Hopson;Luca Delle Monache

  • A review on the integration of probabilistic solar forecasting in power systems

    Binghui Li;Jie Zhang

  • A Multivariate and Multimodal Wind Distribution model

    Jie Zhang;Souma Chowdhury;Achille Messac;Luciano Castillo

  • A Data-Driven Methodology for Probabilistic Wind Power Ramp Forecasting

    Mingjian Cui;Jie Zhang;Qin Wang;Venkat Krishnan

  • An Optimized Swinging Door Algorithm for Identifying Wind Ramping Events

    Mingjian Cui;Jie Zhang;Anthony R. Florita;Bri-Mathias Hodge

  • Probabilistic solar power forecasting based on weather scenario generation

    Mucun Sun;Cong Feng;Jie Zhang

  • Unsupervised Clustering-Based Short-Term Solar Forecasting

    Cong Feng;Mingjian Cui;Bri-Mathias Hodge;Siyuan Lu

  • Nonsimultaneous failure and ice loads on arctic structures

    Unknown

  • Multidisciplinary design optimization of large wind turbines—Technical, economic, and design challenges

    Turaj Ashuri;Michiel B. Zaaijer;Joaquim R.R.A. Martins;Jie Zhang

Frequent Co-Authors

Bri-Mathias Hodge
Bri-Mathias Hodge University of Colorado Boulder
Achille Messac
Achille Messac Howard University
Luciano Castillo
Luciano Castillo Purdue University West Lafayette
Hendrik F. Hamann
Hendrik F. Hamann IBM (United States)
Yuanzhang Sun
Yuanzhang Sun Wuhan University
Xueguan Song
Xueguan Song Dalian University of Technology
Brad Lehman
Brad Lehman Northeastern University
Abdollah Kavousi-Fard
Abdollah Kavousi-Fard Shiraz University of Technology
Jonathan W. Kimball
Jonathan W. Kimball Missouri University of Science and Technology
Dazhi Yang
Dazhi Yang Harbin Institute of Technology

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring study and career opportunities in Engineering and Technology often leads to related fields that boost your leadership and management potential. Online degrees can help you expand your expertise without disrupting your current commitments.

If you’re interested in developing strong communication and collaboration skills vital for today’s technical workplaces, consider an affordable online master's degree in communications.

For those driven by innovation, an mba for entrepreneurs program can provide the business acumen required to launch your own tech venture or lead interdisciplinary teams.

If you wish to advance your business knowledge but are concerned about standardized testing, an online mba without gmat offers flexible options for busy professionals in engineering fields.

Project management skills are in high demand across industries. Pursuing an online project management degree will help you lead complex engineering projects and move into supervisory roles.

These related online degrees open doors to new career pathways—empowering you to stand out in the ever-evolving fields of engineering and technology.

Best Scientists Citing Jie Zhang

Trending Scientists

Recently Published Articles