World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
32
Citations
4778
World Ranking
9551
National Ranking
1577

Jianchao Zeng 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 Jianchao Zeng 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: 254 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Jianchao Zeng 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 Jianchao Zeng 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: 32 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Overview

Jianchao Zeng is affiliated with North University of China and has contributed extensively to the fields of engineering and computer science, with a primary focus on reliability and safety in technology systems. Their research spans multiple subfields including Safety, Risk, Reliability and Quality; Computer Vision and Pattern Recognition; Control and Systems Engineering; Automotive Engineering; and Electrical and Electronic Engineering.

The scientist's work covers key topics such as Reliability and Maintenance Optimization, Advanced Battery Technologies Research, Advancements in Battery Materials, Fault Detection and Control Systems, Machine Fault Diagnosis Techniques, Advanced Image Fusion Techniques, and Remote-Sensing Image Classification.

Jianchao Zeng has authored several recent papers with a central theme around lithium-ion battery health and remaining useful life prediction. Selected publications include:

  • "SOH and RUL Prediction of Lithium-Ion Batteries Based on Gaussian Process Regression with Indirect Health Indicators" (2020, Energies)
  • "A lithium-ion battery remaining useful life prediction method based on the incremental capacity analysis and Gaussian process regression" (2021, Microelectronics Reliability)
  • "State of health prediction of lithium-ion batteries based on bidirectional gated recurrent unit and transformer" (2023, Energy)
  • "Improved sparrow search algorithm optimization deep extreme learning machine for lithium-ion battery state-of-health prediction" (2022, iScience)
  • "Brain tumor segmentation of multi-modality MR images via triple intersecting U-Nets" (2020, Neurocomputing)

Zeng frequently collaborates with several researchers, with notable coauthors including Jie Wen, Jianfang Jia, Xiaohong Zhang, Yuanhao Shi, and Xiaoqiong Pang.

Their research has been published across prominent venues such as Reliability Engineering & System Safety, Electronics, Results in Physics, Energies, and Energy. These journals reflect the interdisciplinary nature of Zeng's work combining engineering principles and applied computational methods.

In addition to journal publications, Zeng has contributed to book literature, with two editions titled "Data Science" published by Springer Science+Business Media in 2020 and 2021. These works contribute to the body of knowledge in data science methodologies and applications.

Best Publications

  • Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems

    Chaoli Sun;Yaochu Jin;Ran Cheng;Jinliang Ding

  • Surrogate-assisted hierarchical particle swarm optimization

    Haibo Yu;Ying Tan;Jianchao Zeng;Jianchao Zeng;Chaoli Sun

  • Multiobjective Infill Criterion Driven Gaussian Process-Assisted Particle Swarm Optimization of High-Dimensional Expensive Problems

    Jie Tian;Ying Tan;Jianchao Zeng;Chaoli Sun

  • A two-layer surrogate-assisted particle swarm optimization algorithm

    Chaoli Sun;Yaochu Jin;Jianchao Zeng;Yang Yu

  • A new fitness estimation strategy for particle swarm optimization

    Chaoli Sun;Jianchao Zeng;Jengshyang Pan;Songdong Xue

  • Joint optimization of condition-based opportunistic maintenance and spare parts provisioning policy in multiunit systems

    Unknown

  • Real-time prediction of remaining useful life and preventive opportunistic maintenance strategy for multi-component systems considering stochastic dependence

    Unknown

  • An improved vector particle swarm optimization for constrained optimization problems

    Chao-li Sun;Jian-chao Zeng;Jeng-shyang Pan

  • Comparison and Analysis of the Selection Mechanism in the Artificial Bee Colony Algorithm

    Li Bao;Jian-chao Zeng

  • Social Emotional Optimization Algorithm for Nonlinear Constrained Optimization Problems

    Yuechun Xu;Zhihua Cui;Zhihua Cui;Jianchao Zeng

  • A Guaranteed Global Convergence Particle Swarm Optimizer

    Zhihua Cui;Jianchao Zeng

  • A generation-based optimal restart strategy for surrogate-assisted social learning particle swarm optimization

    Haibo Yu;Ying Tan;Chaoli Sun;Jianchao Zeng;Jianchao Zeng

  • A FAST PARTICLE SWARM OPTIMIZATION

    Zhihua Cui;Jianchao Zeng;Guoji Sun

  • Dispersed particle swarm optimization

    Xingjuan Cai;Zhihua Cui;Jianchao Zeng;Ying Tan

  • Knowledge-based cooperative particle swarm optimization

    Unknown

  • Particle swarm optimization with FUSS and RWS for high dimensional functions

    Zhihua Cui;Zhihua Cui;Xingjuan Cai;Jianchao Zeng;Guoji Sun

  • Estimation of Distribution Algorithm based on copula theory

    Li-Fang Wang;Jian-Chao Zeng;Yi Hong

  • A general modeling method for opportunistic maintenance modeling of multi-unit systems

    Unknown

  • PID-Controlled Particle Swarm Optimization.

    Zhihua Cui;Xingjuan Cai;Jianchao Zeng;Yufeng Yin

  • A fitness approximation assisted competitive swarm optimizer for large scale expensive optimization problems

    Chaoli Sun;Chaoli Sun;Chaoli Sun;Jinliang Ding;Jianchao Zeng;Yaochu Jin;Yaochu Jin

  • General framework of Artificial Physics Optimization Algorithm

    Liping Xie;Jianchao Zeng;Zhihua Cui

  • An Improved PSO with Time-Varying Accelerator Coefficients

    Zhihua Cui;Jianchao Zeng;Yufeng Yin

  • Parallel asynchronous control strategy for target search with swarm robots

    Songdong Xue;Jianhua Zhang;Jianchao Zeng

  • Artificial physics optimisation: a brief survey

    Liping Xie;Ying Tan;Jianchao Zeng;Zhihua Cui

Frequent Co-Authors

Zhihua Cui
Zhihua Cui Taiyuan University of Science and Technology
Ying Tan
Ying Tan Peking University
Xingjuan Cai
Xingjuan Cai Taiyuan University of Science and Technology
Jeng-Shyang Pan
Jeng-Shyang Pan Shandong University of Science and Technology
Yaochu Jin
Yaochu Jin Westlake University
John F. Roddick
John F. Roddick Flinders University
Yang Yu
Yang Yu Nanjing University

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