World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
45
Citations
6393
World Ranking
5620
National Ranking
1081

Zijun 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 Zijun 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: 99 publications — 8th percentile

8% of scientists in this discipline score the same or lower.

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

Zijun 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 Zijun 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: 45 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Zijun Zhang is a researcher affiliated with City University of Hong Kong in China, with a focus primarily in the fields of Engineering and Medicine. The body of their work spans a variety of subfields such as Electrical and Electronic Engineering, Artificial Intelligence, Materials Chemistry, Control and Systems Engineering, and Mechanical Engineering.

Their publications concentrate on topics including:

  • Energy Load and Power Forecasting
  • Machine Fault Diagnosis Techniques
  • Anomaly Detection Techniques and Applications
  • Solar Radiation and Photovoltaics
  • Advanced Battery Technologies Research
  • Ocular Surface and Contact Lens
  • Infrastructure Maintenance and Monitoring

Zijun Zhang's recent papers include:

  • "Early prediction of battery lifetime via a machine learning based framework" (2021), published in Energy
  • "A Conditional Convolutional Autoencoder-Based Method for Monitoring Wind Turbine Blade Breakages" (2020), published in IEEE Transactions on Industrial Informatics
  • "Hyaluronic acid and HA-modified cationic liposomes for promoting skin penetration and retention" (2023), published in Journal of Controlled Release
  • "Short-term predictions of multiple wind turbine power outputs based on deep neural networks with transfer learning" (2020), published in Energy
  • "Wind Turbine Gearbox Failure Detection Based on SCADA Data: A Deep Learning-Based Approach" (2020), published in IEEE Transactions on Instrumentation and Measurement

The venues where Zijun Zhang frequently publishes span a range of journals and preprint archives, including:

  • IEEE Internet of Things Journal
  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Foot & Ankle Orthopaedics
  • Energy

Collaboration is a notable aspect of Zhang's work, with frequent coauthors being:

  • Kwok-Leung Tsui
  • Luoxiao Yang
  • Long Wang
  • Lew C. Schon
  • Guanbin Gao

The range of Zhang's research reflects interdisciplinary engagement, particularly at the intersection of engineering disciplines and medical science. Their work in machine learning techniques applied to energy systems and fault diagnosis, as well as biomedical delivery systems, demonstrates a diverse portfolio.

Best Publications

  • Wind Turbine Gearbox Failure Identification With Deep Neural Networks

    Long Wang;Zijun Zhang;Huan Long;Jia Xu

  • Automatic Detection of Wind Turbine Blade Surface Cracks Based on UAV-Taken Images

    Long Wang;Zijun Zhang

  • A data-driven approach for steam load prediction in buildings

    Andrew Kusiak;Mingyang Li;Zijun Zhang

  • Early prediction of battery lifetime via a machine learning based framework

    Zicheng Fei;Fangfang Yang;Kwok-Leung Tsui;Lishuai Li

  • Short-Term Wind Speed Forecasting via Stacked Extreme Learning Machine With Generalized Correntropy

    Xiong Luo;Jiankun Sun;Long Wang;Weiping Wang

  • Prediction, operations, and condition monitoring in wind energy

    Andrew Kusiak;Zijun Zhang;Anoop Verma

  • A Prediction Model-Guided Jaya Algorithm for the PV System Maximum Power Point Tracking

    Chao Huang;Long Wang;Ryan Shun-Cheung Yeung;Zijun Zhang

  • Short-Term Electricity Price Forecasting With Stacked Denoising Autoencoders

    Long Wang;Zijun Zhang;Jieqiu Chen

  • Fault Analysis and Condition Monitoring of the Wind Turbine Gearbox

    Zijun Zhang;A. Verma;A. Kusiak

  • Analysis of daily solar power prediction with data-driven approaches

    Huan Long;Zijun Zhang;Yan Su

  • Short-Horizon Prediction of Wind Power: A Data-Driven Approach

    A Kusiak;Zijun Zhang

  • Differential Evolution With a New Encoding Mechanism for Optimizing Wind Farm Layout

    Yong Wang;Hao Liu;Huan Long;Zijun Zhang

  • Wind Turbine Blade Breakage Monitoring With Deep Autoencoders

    Long Wang;Zijun Zhang;Jia Xu;Ruihua Liu

  • Predictive modeling and optimization of a multi-zone HVAC system with data mining and firefly algorithms

    Yaohui Zeng;Zijun Zhang;Andrew Kusiak

  • Short-term wind speed forecasting with Markov-switching model

    Zhe Song;Yu Jiang;Zijun Zhang

  • Minimization of energy consumption in HVAC systems with data-driven models and an interior-point method

    Andrew Kusiak;Guanglin Xu;Zijun Zhang

  • Hybrid Ensemble Deep Learning for Deterministic and Probabilistic Low-Voltage Load Forecasting

    Zhaojing Cao;Can Wan;Zijun Zhang;Furong Li

  • Performance optimization of HVAC systems with computational intelligence algorithms

    Xiaofei He;Zijun Zhang;Andrew Kusiak

  • Modeling and optimization of a wastewater pumping system with data-mining methods

    Zijun Zhang;Andrew Kusiak;Yaohui Zeng;Xiupeng Wei

  • Minimizing pump energy in a wastewater processing plant

    Zijun Zhang;Yaohui Zeng;Andrew Kusiak

Frequent Co-Authors

Andrew Kusiak
Andrew Kusiak University of Iowa
Kwok-Leung Tsui
Kwok-Leung Tsui Virginia Tech
Xiong Luo
Xiong Luo University of Science and Technology Beijing
Alain Bensoussan
Alain Bensoussan The University of Texas at Dallas
Henry Shu-Hung Chung
Henry Shu-Hung Chung City University of Hong Kong
Yan-Fu Li
Yan-Fu Li Tsinghua University
Yang Zhao
Yang Zhao Beijing Institute of Technology
Furong Li
Furong Li University of Bath
Yonghua Song
Yonghua Song University of Macau
Jinsong Wu
Jinsong Wu Wuhan University 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 Engineering and Technology in the USA opens doors to flexible learning and diverse career options. For those interested in cities, an online urban planning degree blends technical skills with a passion for shaping communities. This is ideal for students eager to make a real-world impact without giving up their current commitments.

If fast-tracking your education is a priority, consider an accredited masters degree in 6 months. These intensive programs are designed for motivated learners who want to advance their credentials quickly.

Not all career advancements require a full degree. There are many certificate programs that lead to well-paying roles in technology and engineering. These short-term options are perfect for upskilling or pivoting into a new field.

Flexibility is also key for busy parents. Many universities now offer online degrees for moms, making it easier to balance family commitments while pursuing higher education and new career opportunities.

Best Scientists Citing Zijun Zhang

Trending Scientists

Recently Published Articles