World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
6143
World Ranking
12957
National Ranking
1591

Jianhua Zhang 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 Jianhua Zhang 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: 302 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Jianhua Zhang 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 Jianhua Zhang 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Jianhua Zhang is a researcher affiliated with Beijing University of Posts and Telecommunications in China. Their primary field of study is Engineering, with a focus on Control and Systems Engineering, Electrical and Electronic Engineering, and Computational Theory and Mathematics. The research portfolio also includes Aerospace Engineering and Civil and Structural Engineering as notable subfields.

The scientist's work spans multiple topics related to control systems and engineering applications. Key research areas include:

  • Adaptive Control of Nonlinear Systems
  • Adaptive Dynamic Programming Control
  • Advanced Control Systems Optimization
  • Distributed Control Multi-Agent Systems
  • Iterative Learning Control Systems
  • Railway Engineering and Dynamics
  • Advancements in Battery Materials

Jianhua Zhang has published extensively in various scientific venues. The most frequent publication outlets include:

  • Mathematics
  • Entropy
  • International Journal of Critical Infrastructures
  • Advanced Functional Materials
  • Mathematical Problems in Engineering

Recent research papers authored or coauthored by Jianhua Zhang cover diverse topics and have appeared in peer-reviewed journals from 2020 to 2024. Notable recent works are:

  • "Oxygen-Vacancy-Assisted Dual Functional Surface Coatings Suppressing Irreversible Phase Transition of Li-Rich Layered Oxide Cathodes," 2024, Advanced Functional Materials
  • "Review on bio-inspired polarized skylight navigation," 2023, Chinese Journal of Aeronautics
  • "Proton Storage Chemistry in Aqueous Zinc-Inorganic Batteries with Moderate Electrolytes," 2024, Advanced Materials
  • "Increasing carbon to nitrogen ratio promoted anaerobic ammonia-oxidizing bacterial enrichment and advanced nitrogen removal in mainstream anammox system," 2023, Bioresource Technology
  • "Neural Network-Based Nonlinear Fixed-Time Adaptive Practical Tracking Control for Quadrotor Unmanned Aerial Vehicles," 2020, Complexity

Collaboration is a significant feature of Jianhua Zhang's research activities. Frequent coauthors include:

  • Quanmin Zhu
  • Yang Li
  • Xifei Li
  • Wenbin Li
  • Yinguang Li

Best Publications

  • Overview of Millimeter Wave Communications for Fifth-Generation (5G) Wireless Networks—With a Focus on Propagation Models

    Theodore S. Rappaport;Yunchou Xing;George R. MacCartney;Andreas F. Molisch

  • Propagation Models and Performance Evaluation for 5G Millimeter-Wave Bands

    Shu Sun;Theodore S. Rappaport;Mansoor Shafi;Pan Tang

  • Microwave vs. Millimeter-Wave Propagation Channels: Key Differences and Impact on 5G Cellular Systems

    Mansoor Shafi;Jianhua Zhang;Harsh Tataria;Andreas F. Molisch

  • Exploiting Benefits of IRS in Wireless Powered NOMA Networks

    Unknown

  • Communicating in the real world: 3D MIMO

    Xiang Cheng;Bo Yu;Liuqing Yang;Jianhua Zhang

  • Three-dimensional fading channel models: A survey of elevation angle research

    Jianhua Zhang;Chun Pan;Feng Pei;Guangyi Liu

  • 3GPP Standardized 5G Channel Model for IIoT Scenarios: A Survey

    Tao Jiang;Jianhua Zhang;Pan Tang;Lei Tian

  • 3-D MIMO: How Much Does It Meet Our Expectations Observed From Channel Measurements?

    Jianhua Zhang;Yuxiang Zhang;Yawei Yu;Ruijie Xu

  • Channel measurements and models for 6G: current status and future outlook

    Jian-hua Zhang;Pan Tang;Li Yu;Tao Jiang

  • 3D MIMO for 5G NR: Several Observations from 32 to Massive 256 Antennas Based on Channel Measurement

    Jianhua Zhang;Zhe Zheng;Yuxiang Zhang;Jie Xi

  • Evolution map from TD-SCDMA to FuTURE B3G TDD

    Guangyi Liu;Jianhua Zhang;Ping Zhang;Ying Wang

  • Cooperative Jamming for Secure UAV Communications With Partial Eavesdropper Information

    Yupeng Li;Rongqing Zhang;Jianhua Zhang;Shijian Gao

  • 28-GHz indoor channel measurements and analysis of propagation characteristics

    Mingyang Lei;Jianhua Zhang;Tian Lei;Detao Du

  • Clustering Analysis in the Wireless Propagation Channel with a Variational Gaussian Mixture Model

    Yupeng Li;Jianhua Zhang;Zhanyu Ma;Yu Zhang

  • A Novel Spatial Autocorrelation Model of Shadow Fading in Urban Macro Environments

    Yu Zhang;Jianhua Zhang;Di Dong;Xin Nie

  • Outage Probability of Two-Hop Fixed-Gain Relay with Interference at the Relay and Destination

    Wei Xu;Jianhua Zhang;Ping Zhang

  • Indoor Office Propagation Measurements and Path Loss Models at 5.25 GHz

    Ding Xu;Jianhua Zhang;Xinying Gao;Ping Zhang

  • Channel measurement and path loss modeling from 220 GHz to 330 GHz for 6G wireless communications

    Pan Tang;Jianhua Zhang;Haoyu Tian;Zhaowei Chang

  • Cooperative Jamming via Spectrum Sharing for Secure UAV Communications

    Yupeng Li;Rongqing Zhang;Jianhua Zhang;Liuqing Yang

  • Estimation of the K-Factor for Temporal Fading From Single-Snapshot Wideband Measurements

    Pan Tang;Jianhua Zhang;Andreas F. Molisch;Peter J. Smith

  • Channel Properties of indoor part for high-speed train based on wideband channel measurement

    Weihui Dong;Guangyi Liu;Li Yu;Haiyu Ding

  • Comparison of the Link Level Performance between OFDMA and SC-FDMA

    Jianhua Zhang;Chen Huang;Guangyi Liu;Ping Zhang

  • Impact of Microwave and mmWave Channel Models on 5G Systems Performance

    Callum T. Neil;Mansoor Shafi;Peter J. Smith;Pawel A. Dmochowski

  • A Survey on Machine Learning-Based Mobile Big Data Analysis: Challenges and Applications

    Jiyang Xie;Zeyu Song;Yupeng Li;Yanting Zhang

Frequent Co-Authors

Ping Zhang
Ping Zhang Beijing University of Posts and Telecommunications
Mansoor Shafi
Mansoor Shafi Spark NZ Ltd
Peter J. Smith
Peter J. Smith Victoria University of Wellington
Andreas F. Molisch
Andreas F. Molisch University of Southern California
Xiaodong Xu
Xiaodong Xu University of Washington
Xiaofeng Tao
Xiaofeng Tao Beijing University of Posts and Telecommunications
Ming Zeng
Ming Zeng Université Laval
Shu Sun
Shu Sun Shanghai Jiao Tong University
Theodore S. Rappaport
Theodore S. Rappaport New York University
Fredrik Tufvesson
Fredrik Tufvesson Lund University

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