World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
43
Citations
7152
World Ranking
6188
National Ranking
1169

Hai-Tao 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 Hai-Tao 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: 239 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Hai-Tao 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 Hai-Tao 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: 43 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Overview

Hai-Tao Zhang is affiliated with Huazhong University of Science and Technology in China. Their research portfolio primarily covers the field of Engineering, with significant contributions in Electrical and Electronic Engineering, Materials Chemistry, Mechanical Engineering, Automotive Engineering, and Renewable Energy, Sustainability and the Environment.

The scientist's work spans a range of topics related to battery materials and energy storage technologies. Key research themes include:

  • Advancements in Battery Materials
  • Advanced Battery Materials and Technologies
  • Advanced Battery Technologies Research
  • Supercapacitor Materials and Fabrication
  • Advanced Photocatalysis Techniques
  • Extraction and Separation Processes

Hai-Tao Zhang has published extensively, contributing to multiple scientific journals and conference proceedings. Their frequent publication venues are:

  • SSRN Electronic Journal
  • Chemical Engineering Journal
  • Nano Energy
  • Energy storage materials
  • Advanced Functional Materials

Selected recent papers authored or co-authored by Hai-Tao Zhang include:

  • "An interpretable mortality prediction model for COVID-19 patients," 2020, Nature Machine Intelligence
  • "A Flexible Ceramic/Polymer Hybrid Solid Electrolyte for Solid-State Lithium Metal Batteries," 2020, Advanced Materials
  • "Solid polymer electrolyte with in-situ generated fast Li+ conducting network enable high voltage and dendrite-free lithium metal battery," 2021, Energy storage materials
  • "Selective Extraction of Lithium from Spent Lithium Batteries by Functional Ionic Liquid," 2021, ACS Sustainable Chemistry & Engineering
  • "Microstructure and mechanical properties of C Hf0.25NbTaW0.5 refractory high-entropy alloys at room and high temperatures," 2021, Journal of Material Science and Technology

Collaboration plays a significant role in their research. Frequent co-authors of Hai-Tao Zhang include:

  • Suojiang Zhang
  • Shanshan Pan
  • Yingjun Cai
  • Chunxian Xing
  • Meng Yao

Best Publications

  • An interpretable mortality prediction model for COVID-19 patients

    Li Yan;Hai Tao Zhang;Jorge Goncalves;Yang Xiao

  • A machine learning-based model for survival prediction in patients with severe COVID-19 infection

    Yan L;Zhang H;Goncalves J;Xiao Y

  • Data driven discovery of cyber physical systems.

    Ye Yuan;Xiuchuan Tang;Wei Zhou;Wei Pan

  • A General Alignment Repulsion Algorithm for Flocking of Multi-Agent Systems

    Hai-Tao Zhang;Chao Zhai;Zhiyong Chen

  • Model predictive flocking control for second-order multi-agent systems with input constraints

    Hai-Tao Zhang;Zhaomeng Cheng;Guanrong Chen;Chunguang Li

  • Data-driven Discovery of Cyber-Physical Systems

    Ye Yuan;Xiuchuan Tang;Wei Pan;Xiuting Li

  • No-beacon collective circular motion of jointly connected multi-agents

    Zhiyong Chen;Hai-Tao Zhang

  • The performance evaluation of shape-stabilized phase change materials in building applications using energy saving index

    Hong Ye;Linshuang Long;Haitao Zhang;Ruqiang Zou

  • A general end-to-end diagnosis framework for manufacturing systems.

    Ye Yuan;Guijun Ma;Cheng Cheng;Beitong Zhou

  • Distributed Consensus of Multi-Agent Systems With Input Constraints: A Model Predictive Control Approach

    Zhaomeng Cheng;Hai-Tao Zhang;Ming-Can Fan;Guanrong Chen

  • Fast Consensus Via Predictive Pinning Control

    Hai-Tao Zhang;Michael Z. Q. Chen;Guy-Bart Stan

  • Collective behavior coordination with predictive mechanisms

    Hai-Tao Zhang;M.Z. Chen;G.-B. Stan;Tao Zhou

  • Bayesian Learning-Based Model-Predictive Vibration Control for Thin-Walled Workpiece Machining Processes

    Ye Yuan;Hai-Tao Zhang;Yue Wu;Tao Zhu

  • Semi-global consensus of nonlinear second-order multi-agent systems with measurement output feedback

    Ming-Can Fan;Zhiyong Chen;Hai-Tao Zhang

  • Collective Dynamics and Control for Multiple Unmanned Surface Vessels

    Bin Liu;Zhiyong Chen;Hai-Tao Zhang;Xudong Wang

  • Bipartite flocking for multi-agent systems

    Ming-Can Fan;Hai-Tao Zhang;Miaomiao Wang

  • Bearing-only Motional Target-Surrounding Control for Multiple Unmanned Surface Vessels

    Binbin Hu;Hai-Tao Zhang

  • Bayesian Learning-Based Harmonic State Estimation in Distribution Systems With Smart Meter and DPMU Data

    Wei Zhou;Omid Ardakanian;Hai-Tao Zhang;Ye Yuan

  • Distributed Surrounding Control of Multiple Unmanned Surface Vessels With Varying Interconnection Topologies

    Bin-Bin Hu;Hai-Tao Zhang;Bin Liu;Haofei Meng

  • A remark on collective circular motion of heterogeneous multi-agents

    Zhiyong Chen;Hai-Tao Zhang

  • Scanning-Chain Formation Control for Multiple Unmanned Surface Vessels to Pass Through Water Channels.

    Bin Liu;Hai-Tao Zhang;Haofei Meng;Dongfei Fu

  • An Echo State Gaussian Process-Based Nonlinear Model Predictive Control for Pneumatic Muscle Actuators

    Jian Huang;Yu Cao;Caihua Xiong;Hai-Tao Zhang

  • Model predictive control to mitigate chatters in milling processes with input constraints

    Hai-Tao Zhang;Yue Wu;Defeng He;Huan Zhao

Frequent Co-Authors

Zhiyong Chen
Zhiyong Chen University of Newcastle Australia
Tao Zhou
Tao Zhou University of Electronic Science and Technology of China
Guanrong Chen
Guanrong Chen City University of Hong Kong
Zhouping Yin
Zhouping Yin Huazhong University of Science and Technology
YongAn Huang
YongAn Huang Huazhong University of Science and Technology
Zonghai Chen
Zonghai Chen Argonne National Laboratory
Zhiguo Cao
Zhiguo Cao Huazhong University of Science and Technology
Dongrui Wu
Dongrui Wu Huazhong University of Science and Technology
Han-Xiong Li
Han-Xiong Li City University of Hong Kong
Wenwu Yu
Wenwu Yu Southeast University

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