World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
76
Citations
17038
World Ranking
1363
National Ranking
185

Jianzhong Zhou publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Jianzhong Zhou sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 388 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Jianzhong Zhou D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Jianzhong Zhou sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 76 D-Index — 91st percentile

91% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Jianzhong Zhou is affiliated with Huazhong University of Science and Technology in China. Their research spans multiple fields within engineering and environmental science, with a strong focus on energy systems, materials, and hydrology.

Their recent publications illustrate a diverse range of topics and methodologies in both theoretical and applied research. Notable papers include:

  • Operation rule extraction based on deep learning model with attention mechanism for wind-solar-hydro hybrid system under multiple uncertainties, 2021, Renewable Energy
  • Impact of Three Gorges Reservoir Water Impoundment on Vegetation-Climate Response Relationship, 2020, Remote Sensing
  • Hybrid honeycombs with re-entrant auxetic and face-centered cubic cells: Design and mechanical characteristics, 2025, Engineering Structures
  • Short-Term Load Forecasting Based on Multi-Scale Ensemble Deep Learning Neural Network, 2023, IEEE Access
  • Many-objective optimization based mutual feed scheduling for energy system of integrated energy station, 2024, Applied Soft Computing

Thematic areas explored in their work include cellular and composite structures, advanced materials and mechanics, hydrology and watershed management studies, energy load and power forecasting, integrated energy systems optimization, electric power system optimization, and flood risk assessment and management.

Jianzhong Zhou has contributed primarily in the following main fields of study:

  • Engineering
  • Environmental Science

Their subfields reflect a multidisciplinary approach as seen in:

  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Water Science and Technology
  • Global and Planetary Change
  • Energy Engineering and Power Technology

The researcher has frequently published in the following venues, indicating preferred platforms for disseminating their findings:

  • IEEE Access
  • IOP Conference Series Earth and Environmental Science
  • SSRN Electronic Journal
  • Renewable Energy
  • Engineering Structures

Collaborative work is a significant aspect of their research, with consistent coauthors including Huichen Luo, Qiang Gao, Yi Zhang, Liangmo Wang, and Benjun Jia. These partnerships suggest active engagement in multidisciplinary teams focused on energy and engineering challenges.

Best Publications

  • Fault diagnosis of rolling bearings with recurrent neural network-based autoencoders.

    Han Liu;Jianzhong Zhou;Yang Zheng;Wei Jiang

  • A novel bearing fault diagnosis model integrated permutation entropy, ensemble empirical mode decomposition and optimized SVM

    Xiaoyuan Zhang;Yitao Liang;Jianzhong Zhou;Yi zang

  • Comprehensive flood risk assessment based on set pair analysis-variable fuzzy sets model and fuzzy AHP

    Qiang Zou;Jianzhong Zhou;Chao Zhou;Lixiang Song

  • A hybrid short-term load forecasting model based on variational mode decomposition and long short-term memory networks considering relevant factors with Bayesian optimization algorithm

    Feifei He;Jianzhong Zhou;Zhong-kai Feng;Guangbiao Liu

  • Parameters identification of hydraulic turbine governing system using improved gravitational search algorithm

    Chaoshun Li;Jianzhong Zhou

  • An integrated framework of Bi-directional long-short term memory (BiLSTM) based on sine cosine algorithm for hourly solar radiation forecasting

    Tian Peng;Chu Zhang;Jianzhong Zhou;Muhammad Shahzad Nazir

  • Multi-fault diagnosis for rolling element bearings based on ensemble empirical mode decomposition and optimized support vector machines

    Xiaoyuan Zhang;Jianzhong Zhou

  • Using fuzzy theory and information entropy for water quality assessment in Three Gorges region, China

    Li Liu;Jianzhong Zhou;Xueli An;Yongchuan Zhang

  • A compound structure of ELM based on feature selection and parameter optimization using hybrid backtracking search algorithm for wind speed forecasting

    Chu Zhang;Jianzhong Zhou;Chaoshun Li;Wenlong Fu

  • Unsupervised fault diagnosis of rolling bearings using a deep neural network based on generative adversarial networks

    Han Liu;Jianzhong Zhou;Yanhe Xu;Yang Zheng

  • Probabilistic spatiotemporal wind speed forecasting based on a variational Bayesian deep learning model

    Yongqi Liu;Hui Qin;Zhendong Zhang;Shaoqian Pei

  • Monthly streamflow forecasting based on improved support vector machine model

    Jun Guo;Jianzhong Zhou;Hui Qin;Qiang Zou

  • Chaotic differential evolution methods for dynamic economic dispatch with valve-point effects

    Youlin Lu;Jianzhong Zhou;Hui Qin;Ying Wang

  • Design of a fractional-order PID controller for a pumped storage unit using a gravitational search algorithm based on the Cauchy and Gaussian mutation

    Chaoshun Li;Nan Zhang;Xinjie Lai;Jianzhong Zhou

  • Multi-step ahead wind speed forecasting using a hybrid model based on two-stage decomposition technique and AdaBoost-extreme learning machine

    Tian Peng;Jianzhong Zhou;Chu Zhang;Yang Zheng

  • A hybrid of real coded genetic algorithm and artificial fish swarm algorithm for short-term optimal hydrothermal scheduling

    Na Fang;Na Fang;Jianzhong Zhou;Rui Zhang;Yi Liu

  • Temporal convolutional networks interval prediction model for wind speed forecasting

    Zhenhao Gan;Chaoshun Li;Jianzhong Zhou;Geng Tang

  • Comparison of Multiple Linear Regression, Artificial Neural Network, Extreme Learning Machine, and Support Vector Machine in Deriving Operation Rule of Hydropower Reservoir

    Wen-Jing Niu;Zhong-Kai Feng;Bao-Fei Feng;Yao-Wu Min

  • An adaptively fast fuzzy fractional order PID control for pumped storage hydro unit using improved gravitational search algorithm

    Yanhe Xu;Jianzhong Zhou;Xiaoming Xue;Wenlong Fu

  • A mixed integer linear programming model for unit commitment of thermal plants with peak shaving operation aspect in regional power grid lack of flexible hydropower energy

    Zhong-kai Feng;Wen-jing Niu;Wen-chuan Wang;Jian-zhong Zhou

  • T–S Fuzzy Model Identification With a Gravitational Search-Based Hyperplane Clustering Algorithm

    Chaoshun Li;Jianzhong Zhou;Bo Fu;Pangao Kou

  • An adaptive hybrid differential evolution algorithm for dynamic economic dispatch with valve-point effects

    Youlin Lu;Jianzhong Zhou;Hui Qin;Yinghai Li

  • Improved chaotic particle swarm optimization algorithm for dynamic economic dispatch problem with valve-point effects

    Ying Wang;Jianzhong Zhou;Hui Qin;Youlin Lu

  • A robust well-balanced finite volume model for shallow water flows with wetting and drying over irregular terrain

    Lixiang Song;Jianzhong Zhou;Jun Guo;Qiang Zou

Frequent Co-Authors

Chaoshun Li
Chaoshun Li Huazhong University of Science and Technology
Zhong-kai Feng
Zhong-kai Feng Hohai University
Chuntian Cheng
Chuntian Cheng Dalian University of Technology
Diyi Chen
Diyi Chen Northwest A&F University
Ping Wang
Ping Wang York University
Vijay P. Singh
Vijay P. Singh Texas A&M University
Hao Wang
Hao Wang Tianjin University

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