World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
5918
World Ranking
11207
National Ranking
1375

Gongpu Wang 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 Gongpu Wang 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: 208 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Gongpu Wang 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 Gongpu Wang 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Gongpu Wang is affiliated with Beijing Jiaotong University in China and has contributed extensively to the field of engineering, focusing primarily on electrical and electronic engineering. Their research also spans aerospace engineering, computer networks and communications, mechanical engineering, and civil and structural engineering. This diverse range of subfields highlights the multidisciplinary nature of their work.

The main research topics explored by Gongpu Wang include:

  • Energy Harvesting in Wireless Networks
  • Advanced Wireless Communication Technologies
  • Advanced MIMO Systems Optimization
  • Antenna Design and Analysis
  • Soil Mechanics and Vehicle Dynamics
  • Advanced Antenna and Metasurface Technologies
  • Indoor and Outdoor Localization Technologies

Wang's publication record includes frequent contributions to notable journals and conferences, evidencing sustained activity and expertise within the engineering community. Key venues where their work has appeared repeatedly include:

  • IEEE Transactions on Vehicular Technology
  • IEEE Communications Letters
  • IEEE Internet of Things Journal
  • IEEE Transactions on Communications
  • IEEE Wireless Communications Letters

Among the recent papers authored or co-authored by Wang are:

  • "Reconfigurable Intelligent Surface Assisted Two-Way Communications: Performance Analysis and Optimization," 2020, IEEE Transactions on Communications
  • "Is Backscatter Link Stronger than Direct Link in Reconfigurable Intelligent Surface-Assisted System?", 2020, IEEE Communications Letters
  • "Impact of UAV Rotation on MIMO Channel Characterization for Air-to-Ground Communication Systems," 2020, IEEE Transactions on Vehicular Technology
  • "Wireless Channel Sparsity: Measurement, Analysis, and Exploitation in Estimation," 2021, IEEE Wireless Communications
  • "Performance Analysis of Large Intelligent Surface Aided Backscatter Communication Systems," 2020, IEEE Wireless Communications Letters

Wang has collaborated frequently with several researchers, indicating close professional relationships within the academic community. Prominent co-authors include:

  • Bo Ai
  • Chintha Tellambura
  • Ruisi He
  • Lianglong Hu
  • Zhangdui Zhong

Best Publications

  • Ambient Backscatter Communication Systems: Detection and Performance Analysis

    Gongpu Wang;Feifei Gao;Rongfei Fan;Chintha Tellambura

  • High-Speed Railway Communications: From GSM-R to LTE-R

    Ruisi He;Bo Ai;Gongpu Wang;Ke Guan

  • Reconfigurable Intelligent Surface Assisted Two–Way Communications: Performance Analysis and Optimization

    Saman Atapattu;Rongfei Fan;Prathapasinghe Dharmawansa;Gongpu Wang

  • Noncoherent Detections for Ambient Backscatter System

    Jing Qian;Feifei Gao;Gongpu Wang;Shi Jin

  • Propagation Channels of 5G Millimeter-Wave Vehicle-to-Vehicle Communications: Recent Advances and Future Challenges

    Ruisi He;Christian Schneider;Bo Ai;Gongpu Wang

  • Geometrical-Based Modeling for Millimeter-Wave MIMO Mobile-to-Mobile Channels

    Ruisi He;Bo Ai;Gordon L. Stuber;Gongpu Wang

  • Measurements and Analysis of Propagation Channels in High-Speed Railway Viaducts

    Ruisi He;Zhangdui Zhong;Bo Ai;Gongpu Wang

  • Angle Domain Channel Estimation in Hybrid Millimeter Wave Massive MIMO Systems

    Dian Fan;Feifei Gao;Yuanwei Liu;Yansha Deng

  • Intercept Behavior Analysis of Industrial Wireless Sensor Networks in the Presence of Eavesdropping Attack

    Yulong Zou;Gongpu Wang

  • Semi-Coherent Detection and Performance Analysis for Ambient Backscatter System

    Jing Qian;Feifei Gao;Gongpu Wang;Shi Jin

  • Blind Channel Estimation for Ambient Backscatter Communication Systems

    Shuo Ma;Gongpu Wang;Rongfei Fan;Chintha Tellambura

  • Acquisition of channel state information in heterogeneous cloud radio access networks: challenges and research directions

    Gongpu Wang;Qiang Liu;Ruisi He;Feifei Gao

  • Is Backscatter Link Stronger than Direct Link in Reconfigurable Intelligent Surface-Assisted System?

    Wenjing Zhao;Gongpu Wang;Saman Atapattu;Theodoros A. Tsiftsis

  • Angle Domain Signal Processing-Aided Channel Estimation for Indoor 60-GHz TDD/FDD Massive MIMO Systems

    Dian Fan;Feifei Gao;Gongpu Wang;Zhangdui Zhong

  • Impact of UAV Rotation on MIMO Channel Characterization for Air-to-Ground Communication Systems

    Zhangfeng Ma;Bo Ai;Ruisi He;Gongpu Wang

  • Channel Estimation and Training Design for Two-Way Relay Networks in Time-Selective Fading Environments

    Gongpu Wang;Feifei Gao;Wen Chen;C. Tellambura

  • A Wideband Non-Stationary Air-to-Air Channel Model for UAV Communications

    Zhangfeng Ma;Bo Ai;Ruisi He;Gongpu Wang

  • Wireless Channel Sparsity: Measurement, Analysis, and Exploitation in Estimation

    Ruisi He;Bo Ai;Gongpu Wang;Mi Yang

  • Joint C-V2X Based Offloading and Resource Allocation in Multi-Tier Vehicular Edge Computing System

    Unknown

  • On Secrecy Performance of Antenna-Selection-Aided MIMO Systems Against Eavesdropping

    Jia Zhu;Yulong Zou;Gongpu Wang;Yu-Dong Yao

  • Performance Analysis of Large Intelligent Surface Aided Backscatter Communication Systems

    Wenjing Zhao;Gongpu Wang;Saman Atapattu;Theodoros A. Tsiftsis

  • Joint CFO and Channel Estimation for OFDM-Based Two-Way Relay Networks

    Gongpu Wang;Feifei Gao;Yik-Chung Wu;C Tellambura

Frequent Co-Authors

Zhangdui Zhong
Zhangdui Zhong Beijing Jiaotong University
Feifei Gao
Feifei Gao Tsinghua University
Ruisi He
Ruisi He Beijing Jiaotong University
Chintha Tellambura
Chintha Tellambura University of Alberta
Bo Ai
Bo Ai Beijing Jiaotong University
Arumugam Nallanathan
Arumugam Nallanathan Queen Mary University of London
Yulong Zou
Yulong Zou Nanjing University of Posts and Telecommunications
Hai Jiang
Hai Jiang University of Alberta
Yuanwei Liu
Yuanwei Liu University of Hong Kong
Yansha Deng
Yansha Deng King's College London

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