World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
9541
World Ranking
5137
National Ranking
697

Haibo 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 Haibo 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: 203 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Haibo 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 Haibo 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: 52 D-Index — 65th percentile

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

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

Overview

Haibo Zhou is affiliated with Nanjing University in China and has a substantial body of work in the fields of engineering and computer science. Their research spans various subfields, particularly electrical and electronic engineering, computer networks and communications, aerospace engineering, artificial intelligence, and control and systems engineering.

The scientist's research areas prominently include advanced MIMO systems optimization, satellite communication systems, vehicular ad hoc networks (VANETs), cooperative communication and network coding, advanced wireless communication technologies, IoT and edge/fog computing, and age of information optimization.

Haibo Zhou has contributed to a number of recent papers, including:

  • Evolutionary V2X Technologies Toward the Internet of Vehicles: Challenges and Opportunities (2020), published in Proceedings of the IEEE
  • AI-Native Network Slicing for 6G Networks (2022), published in IEEE Wireless Communications
  • A Joint Service Migration and Mobility Optimization Approach for Vehicular Edge Computing (2020), published in IEEE Transactions on Vehicular Technology
  • A Comprehensive Simulation Platform for Space-Air-Ground Integrated Network (2020), published in IEEE Wireless Communications
  • UAV-LEO Integrated Backbone: A Ubiquitous Data Collection Approach for B5G Internet of Remote Things Networks (2021), published in IEEE Journal on Selected Areas in Communications

The scientist has collaborated frequently with several peers, with notable co-authors including Xuemin Shen, Yunting Xu, Bo Qian, Jiacheng Chen, and Ting Ma.

Haibo Zhou's research work has been published extensively in leading venues, with prolific contributions to arXiv (Cornell University), IEEE Internet of Things Journal, UNC Libraries, IEEE Transactions on Vehicular Technology, and IEEE Transactions on Wireless Communications.

Best Publications

  • Evolutionary V2X Technologies Toward the Internet of Vehicles: Challenges and Opportunities

    Haibo Zhou;Wenchao Xu;Jiacheng Chen;Wei Wang

  • Internet of vehicles in big data era

    Wenchao Xu;Haibo Zhou;Nan Cheng;Feng Lyu

  • Air-Ground Integrated Mobile Edge Networks: Architecture, Challenges, and Opportunities

    Nan Cheng;Wenchao Xu;Weisen Shi;Yi Zhou

  • Big Data Driven Vehicular Networks

    Nan Cheng;Feng Lyu;Jiayin Chen;Wenchao Xu

  • AI-Native Network Slicing for 6G Networks.

    Wen Wu;Conghao Zhou;Mushu Li;Huaqing Wu

  • Drone Assisted Vehicular Networks: Architecture, Challenges and Opportunities

    Weisen Shi;Haibo Zhou;Junling Li;Wenchao Xu

  • Toward Efficient Content Delivery for Automated Driving Services: An Edge Computing Solution

    Quan Yuan;Haibo Zhou;Jinglin Li;Zhihan Liu

  • Energy-Harvesting-Aided Spectrum Sensing and Data Transmission in Heterogeneous Cognitive Radio Sensor Network

    Deyu Zhang;Zhigang Chen;Ju Ren;Ning Zhang

  • Cooperative Task Scheduling for Computation Offloading in Vehicular Cloud

    Fei Sun;Fen Hou;Nan Cheng;Miao Wang

  • Utility-Optimal Resource Management and Allocation Algorithm for Energy Harvesting Cognitive Radio Sensor Networks

    Deyu Zhang;Zhigang Chen;Mohamad Khattar Awad;Ning Zhang

  • Characterizing Urban Vehicle-to-Vehicle Communications for Reliable Safety Applications

    Feng Lyu;Hongzi Zhu;Nan Cheng;Haibo Zhou

  • A Joint Service Migration and Mobility Optimization Approach for Vehicular Edge Computing

    Quan Yuan;Jinglin Li;Haibo Zhou;Tao Lin

  • Optimal Power Allocation and Scheduling for Non-Orthogonal Multiple Access Relay-Assisted Networks

    Yuan Wu;Li Ping Qian;Haowei Mao;Xiaowei Yang

  • ChainCluster: Engineering a Cooperative Content Distribution Framework for Highway Vehicular Communications

    Haibo Zhou;Bo Liu;Tom H. Luan;Fen Hou

  • Cooperative vehicular content distribution in edge computing assisted 5G-VANET

    Guiyang Luo;Quan Yuan;Haibo Zhou;Nan Cheng

  • A novel stable selection and reliable transmission protocol for clustered heterogeneous wireless sensor networks

    Haibo Zhou;Yuanming Wu;Yanqi Hu;Guangzhong Xie

  • UAV-LEO Integrated Backbone: A Ubiquitous Data Collection Approach for B5G Internet of Remote Things Networks

    Ting Ma;Haibo Zhou;Bo Qian;Nan Cheng

  • Multiple Drone-Cell Deployment Analyses and Optimization in Drone Assisted Radio Access Networks

    Weisen Shi;Junling Li;Wenchao Xu;Haibo Zhou

  • Performance Analysis of IEEE 802.11p DCF for Multiplatooning Communications With Autonomous Vehicles

    Haixia Peng;Dazhou Li;Khadige Abboud;Haibo Zhou

  • Software-Defined Cooperative Data Sharing in Edge Computing Assisted 5G-VANET

    Guiyang Luo;Haibo Zhou;Nan Cheng;Quan Yuan

  • A Comprehensive Simulation Platform for Space-Air-Ground Integrated Network

    Nan Cheng;Wei Quan;Weisen Shi;Huaqing Wu

  • Air-Ground Integrated Mobile Edge Networks: Architecture, Challenges and Opportunities

    Nan Cheng;Wenchao Xu;Weisen Shi;Yi Zhou

  • Big Data Driven Vehicular Networks

    Nan Cheng;Feng Lyu;Jiayin Chen;Wenchao Xu

Frequent Co-Authors

Xuemin Shen
Xuemin Shen University of Waterloo
Nan Cheng
Nan Cheng Xidian University
Ning Zhang
Ning Zhang University of Windsor
Li Ping Qian
Li Ping Qian Zhejiang University of Technology
Yuan Wu
Yuan Wu University of Macau
Weihua Zhuang
Weihua Zhuang University of Waterloo
Hai Zhao
Hai Zhao Shanghai Jiao Tong University
Shan Zhang
Shan Zhang Beihang University
Ben Shen
Ben Shen Scripps Research Institute
Tom H. Luan
Tom H. Luan Xidian University

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