World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
19593
World Ranking
6650
National Ranking
893

Hong-Ning Dai 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 Hong-Ning Dai 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 165 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Hong-Ning Dai 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 Hong-Ning Dai sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2020 - ACM Senior Member

Overview

Hong-Ning Dai is affiliated with Hong Kong Baptist University in China. Their research spans over multiple disciplines, primarily focusing on Computer Science and Engineering fields. Within these areas, their work significantly contributes to subfields such as Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, and Electrical and Electronic Engineering.

The scientist's research topics cover a wide range of contemporary technological areas including Blockchain Technology Applications and Security, IoT and Edge/Fog Computing, Privacy-Preserving Technologies in Data, Cryptography and Data Security, UAV Applications and Optimization, Anomaly Detection Techniques and Applications, and Opportunistic and Delay-Tolerant Networks.

They have authored numerous publications across various recognized venues. Frequent publication venues include:

  • IEEE Internet of Things Journal
  • IEEE Transactions on Intelligent Transportation Systems
  • arXiv (Cornell University)
  • IEEE Transactions on Industrial Informatics
  • IEEE Transactions on Mobile Computing

Some recent papers represent key areas of their scientific inquiry:

  • Convergence of Blockchain and Edge Computing for Secure and Scalable IIoT Critical Infrastructures in Industry 4.0, 2020, IEEE Internet of Things Journal
  • A Survey of Intelligent Network Slicing Management for Industrial IoT: Integrated Approaches for Smart Transportation, Smart Energy, and Smart Factory, 2022, IEEE Communications Surveys & Tutorials
  • Graph Neural Networks for Anomaly Detection in Industrial Internet of Things, 2021, IEEE Internet of Things Journal
  • Deep Reinforcement Learning for Internet of Things: A Comprehensive Survey, 2021, IEEE Communications Surveys & Tutorials
  • Unmanned aerial vehicle for internet of everything: Opportunities and challenges, 2020, Computer Communications

In addition to journal articles, Hong-Ning Dai has contributed to book publications with Springer Science+Business Media, including editions titled Blockchain and Trustworthy Systems published in 2020 and 2021.

Collaborative efforts feature prominently in their scientific output, frequently coauthoring with researchers such as Zibin Zheng, Hao Wang, Jim Misener, Andreas A. Malikopoulos, and Azim Eskandarian.

Their expertise and contributions have been recognized through professional distinctions, including being awarded the ACM Senior Member status in 2020.

Best Publications

  • An Overview of Blockchain Technology: Architecture, Consensus, and Future Trends

    Zibin Zheng;Shaoan Xie;Hongning Dai;Xiangping Chen

  • Blockchain challenges and opportunities: a survey

    Zibin Zheng;Shaoan Xie;Hong Ning Dai;Xiangping Chen

  • Blockchain for Internet of Things: A Survey

    Hong-Ning Dai;Zibin Zheng;Yan Zhang

  • An overview on smart contracts : Challenges, advances and platforms

    Zibin Zheng;Shaoan Xie;Hong Ning Dai;Weili Chen

  • Wide and Deep Convolutional Neural Networks for Electricity-Theft Detection to Secure Smart Grids

    Zibin Zheng;Yatao Yang;Xiangdong Niu;Hong-Ning Dai

  • Big data analytics for manufacturing internet of things: opportunities, challenges and enabling technologies

    Hong-Ning Dai;Hao Wang;Guangquan Xu;Jiafu Wan

  • A Survey of Intelligent Network Slicing Management for Industrial IoT: Integrated Approaches for Smart Transportation, Smart Energy, and Smart Factory

    Unknown

  • Artificial-Intelligence-Driven Customized Manufacturing Factory: Key Technologies, Applications, and Challenges

    Jiafu Wan;Xiaomin Li;Hong-Ning Dai;Andrew Kusiak

  • Convergence of Blockchain and Edge Computing for Secure and Scalable IIoT Critical Infrastructures in Industry 4.0

    Yulei Wu;Hong-Ning Dai;Hao Wang

  • Graph Neural Networks for Anomaly Detection in Industrial Internet of Things

    Yulei Wu;Hong-Ning Dai;Haina Tang

  • Deep Reinforcement Learning for Internet of Things: A Comprehensive Survey

    Wuhui Chen;Xiaoyu Qiu;Ting Cai;Hong-Ning Dai

  • A Hybrid Computing Solution and Resource Scheduling Strategy for Edge Computing in Smart Manufacturing

    Xiaomin Li;Jiafu Wan;Hong-Ning Dai;Muhammad Imran

  • Unmanned aerial vehicle for internet of everything: Opportunities and challenges

    Yalin Liu;Hong-Ning Dai;Qubeijian Wang;Mahendra Kumar Shukla

  • XBlock-ETH: Extracting and Exploring Blockchain Data From Ethereum

    Peilin Zheng;Zibin Zheng;Jiajing Wu;Hong-Ning Dai

  • An overview of using directional antennas in wireless networks

    Hong-Ning Dai;Hong-Ning Dai;Kam-Wing Ng;Minglu Li;Min-You Wu

  • Deep and Embedded Learning Approach for Traffic Flow Prediction in Urban Informatics

    Zibin Zheng;Yatao Yang;Jiahao Liu;Hong-Ning Dai

  • Big Data Analytics for Large-scale Wireless Networks: Challenges and Opportunities

    Hong-Ning Dai;Raymond Chi-Wing Wong;Hao Wang;Zibin Zheng

  • Big data and industrial Internet of Things for the maritime industry in Northwestern Norway

    Hao Wang;Ottar L. Osen;Guoyuan Li;Wei Li

  • Joint Auction-Coalition Formation Framework for Communication-Efficient Federated Learning in UAV-Enabled Internet of Vehicles

    Jer Shyuan Ng;Wei Yang Bryan Lim;Hong-Ning Dai;Zehui Xiong

  • An attention‐based category‐aware GRU model for the next POI recommendation

    Yuwen Liu;Aixiang Pei;Fan Wang;Yihong Yang

  • Blockchain for cloud exchange: A survey

    Shaoan Xie;Zibin Zheng;Weili Chen;Jiajing Wu

  • On the Capacity of Multi-Channel Wireless Networks Using Directional Antennas

    Hong-Ning Dai;Kam-Wing Ng;R.C.-W. Wong;Min-You Wu+

  • An Overview of MAC Protocols with Directional Antennas in Wireless ad hoc Networks

    Hongning Dai;Kam-Wing Ng;Min-You Wu

Frequent Co-Authors

Zibin Zheng
Zibin Zheng Sun Yat-sen University
Raymond Chi-Wing Wong
Raymond Chi-Wing Wong Hong Kong University of Science and Technology
Min-You Wu
Min-You Wu Shanghai Jiao Tong University
Yulei Wu
Yulei Wu University of Bristol
Wei Zhang
Wei Zhang University of New South Wales
Jiafu Wan
Jiafu Wan South China University of Technology
Jigang Wu
Jigang Wu Guangdong University of Technology
Athanasios V. Vasilakos
Athanasios V. Vasilakos University of Agder
Tian Wang
Tian Wang Beijing Normal University
Zehui Xiong
Zehui Xiong Queen's University Belfast

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