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Computer Science
Singapore
2026
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Electronics and Electrical Engineering
Singapore
2026

D-Index & Metrics

Computer Science

D-Index
139
Citations
90005
World Ranking
70
National Ranking
3

Electronics and Electrical Engineering

D-Index
133
Citations
79316
World Ranking
37
National Ranking
2

Dusit Niyato publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Dusit Niyato sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 446 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 1,308 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Dusit Niyato D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Dusit Niyato sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 263 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 133 D-Index — 99th percentile

99% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Computer Science in Singapore Leader Award
  • 2026 - Research.com Electronics and Electrical Engineering in Singapore Leader Award
  • 2025 - Research.com Computer Science in Singapore Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Singapore Leader Award
  • 2023 - Research.com Computer Science in Singapore Leader Award
  • 2022 - Research.com Computer Science in Singapore Leader Award
  • 2022 - Research.com Electronics and Electrical Engineering in Singapore Leader Award

Overview

Dusit Niyato is affiliated with Nanyang Technological University in Singapore. Their research spans key areas within computer science and engineering, with a strong focus on electrical and electronic engineering, computer networks and communications, and artificial intelligence.

The scientist's work covers several main topics, including:

  • IoT and Edge/Fog Computing
  • Privacy-Preserving Technologies in Data
  • Advanced Wireless Communication Technologies
  • UAV Applications and Optimization
  • Blockchain Technology Applications and Security
  • Advanced MIMO Systems Optimization
  • Wireless Communication Security Techniques

Dusit Niyato has contributed extensively to scholarly publications. The frequent venues where their research appears include:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • IEEE Transactions on Vehicular Technology
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Mobile Computing

Notable recent papers authored or coauthored by the scientist are:

  • Federated Learning in Mobile Edge Networks: A Comprehensive Survey, 2020, IEEE Communications Surveys & Tutorials
  • Convergence of Edge Computing and Deep Learning: A Comprehensive Survey, 2020, IEEE Communications Surveys & Tutorials
  • 6G Internet of Things: A Comprehensive Survey, 2021, IEEE Internet of Things Journal
  • Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach, 2020, IEEE Internet of Things Journal
  • Reliable Federated Learning for Mobile Networks, 2020, IEEE Wireless Communications

The scientist frequently collaborates with several coauthors, including:

  • Zehui Xiong
  • Jiawen Kang
  • Hongyang Du
  • Dong In Kim
  • Zhu Han

Dusit Niyato's contributions extend to academic publishing in book form, with works published by Cambridge University Press, Springer International Publishing, and Springer Science+Business Media. Titles include:

  • Ambient Backscatter Communication Networks (2020)
  • Auction Theory for Computer Networks (2020)
  • Cryptoeconomics (2023)
  • Federated Learning Over Wireless Edge Networks (2022)
  • Integrating Edge Intelligence and Blockchain (2022)
  • Intelligent Information and Database Systems (2021)

Best Publications

  • A survey of mobile cloud computing: architecture, applications, and approaches

    Hoang T. Dinh;Chonho Lee;Dusit Niyato;Ping Wang

  • Wireless Networks With RF Energy Harvesting: A Contemporary Survey

    Xiao Lu;Ping Wang;Dusit Niyato;Dong In Kim

  • Federated Learning in Mobile Edge Networks: A Comprehensive Survey

    Wei Yang Bryan Lim;Nguyen Cong Luong;Dinh Thai Hoang;Yutao Jiao

  • Applications of Deep Reinforcement Learning in Communications and Networking: A Survey

    Nguyen Cong Luong;Dinh Thai Hoang;Shimin Gong;Dusit Niyato

  • Game Theory in Wireless and Communication Networks: Theory, Models, and Applications

    Zhu Han;Dusit Niyato;Walid Saad;Tamer Baar

  • A Survey on Software-Defined Networking

    Wenfeng Xia;Yonggang Wen;Chuan Heng Foh;Dusit Niyato

  • 6G Internet of Things: A Comprehensive Survey

    Dinh C. Nguyen;Ming Ding;Pubudu N. Pathirana;Aruna Seneviratne

  • Machine Learning in Wireless Sensor Networks: Algorithms, Strategies, and Applications

    Mohammad Abu Alsheikh;Shaowei Lin;Dusit Niyato;Hwee-Pink Tan

  • Wireless Charging Technologies: Fundamentals, Standards, and Network Applications

    Xiao Lu;Ping Wang;Dusit Niyato;Dong In Kim

  • A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks

    Wenbo Wang;Dinh Thai Hoang;Peizhao Hu;Zehui Xiong

  • Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

    Xiaofei Wang;Yiwen Han;Victor C.M. Leung;Dusit Niyato

  • Dynamic Spectrum Access and Management in Cognitive Radio Networks

    Ekram Hossain;Dusit Niyato;Zhu Han

  • Ambient Backscatter Communications: A Contemporary Survey

    Nguyen Van Huynh;Dinh Thai Hoang;Xiao Lu;Dusit Niyato

  • Optimization of Resource Provisioning Cost in Cloud Computing

    Sivadon Chaisiri;Bu-Sung Lee;Dusit Niyato

  • Incentive Mechanism for Reliable Federated Learning: A Joint Optimization Approach to Combining Reputation and Contract Theory

    Jiawen Kang;Zehui Xiong;Dusit Niyato;Shengli Xie

  • Toward Smart Wireless Communications via Intelligent Reflecting Surfaces: A Contemporary Survey

    Shimin Gong;Xiao Lu;Dinh Thai Hoang;Dusit Niyato

  • Competitive Pricing for Spectrum Sharing in Cognitive Radio Networks: Dynamic Game, Inefficiency of Nash Equilibrium, and Collusion

    D. Niyato;E. Hossain

  • Random access for machine-to-machine communication in LTE-advanced networks: issues and approaches

    M. Hasan;E. Hossain;D. Niyato

  • A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges

    Unknown

  • A Dynamic Offloading Algorithm for Mobile Computing

    Dong Huang;Ping Wang;D. Niyato

  • When Mobile Blockchain Meets Edge Computing

    Zehui Xiong;Yang Zhang;Dusit Niyato;Ping Wang

  • Dynamics of Network Selection in Heterogeneous Wireless Networks: An Evolutionary Game Approach

    D. Niyato;E. Hossain

  • Toward Secure Blockchain-Enabled Internet of Vehicles: Optimizing Consensus Management Using Reputation and Contract Theory

    Jiawen Kang;Zehui Xiong;Dusit Niyato;Dongdong Ye

  • Privacy-preserving Traffic Flow Prediction: A Federated Learning Approach

    Yi Liu;James J.Q. Yu;Jiawen Kang;Dusit Niyato

  • Game Theory in Wireless and Communication Networks

    Zhu Han;Dusit Niyato;Walid Saad

Frequent Co-Authors

Ping Wang
Ping Wang York University
Zhu Han
Zhu Han University of Houston
Ekram Hossain
Ekram Hossain University of Manitoba
Dong In Kim
Dong In Kim Sungkyunkwan University
Zehui Xiong
Zehui Xiong Queen's University Belfast
Dinh Thai Hoang
Dinh Thai Hoang University of Technology Sydney
Ying-Chang Liang
Ying-Chang Liang University of Electronic Science and Technology of China
Are Hjorungnes
Are Hjorungnes University of Oslo
Wenbo Wang
Wenbo Wang Beijing University of Posts and Telecommunications
Lingyang Song
Lingyang Song Peking University

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