World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
53
Citations
8895
World Ranking
2458
National Ranking
949

Computer Science

D-Index
53
Citations
9088
World Ranking
4903
National Ranking
2278

Honggang Wang 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 Honggang Wang 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: 445 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: 308 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Honggang Wang 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 Honggang Wang sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 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: 53 D-Index — 66th percentile

66% 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

  • 2021 - IEEE Fellow For contributions to low power wireless for IoT and multimedia applications

Overview

Honggang Wang is affiliated with the University of Massachusetts Dartmouth in the United States. Their research spans multiple domains within engineering and computer science, with a focus on electrical and electronic engineering, computer networks and communications, artificial intelligence, computer vision and pattern recognition, and biomedical engineering.

The scholar's primary fields of study include:

  • Engineering
  • Computer Science

Within these fields, Honggang Wang has contributed substantially to several subfields including:

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Biomedical Engineering

Their main research topics cover a range of emerging and specialized areas such as:

  • Privacy-Preserving Technologies in Data
  • IoT and Edge/Fog Computing
  • Vehicular Ad Hoc Networks (VANETs)
  • Wireless Body Area Networks
  • Blockchain Technology Applications and Security
  • Advanced MIMO Systems Optimization
  • Millimeter-Wave Propagation and Modeling

Honggang Wang's publication record includes work in notable venues, highlighting areas of focus and community engagement. Frequent publication channels include:

  • arXiv (Cornell University)
  • IEEE Network
  • IEEE Internet of Things Journal
  • SSRN Electronic Journal
  • IEEE Journal on Selected Areas in Communications

Some recent papers authored by them are:

  • "Internet of Things for In-Home Health Monitoring Systems: Current Advances, Challenges and Future Directions" (2021), published in IEEE Journal on Selected Areas in Communications
  • "CrowdBLPS: A Blockchain-Based Location-Privacy-Preserving Mobile Crowdsensing System" (2020), published in IEEE Transactions on Industrial Informatics
  • "Machine-Learning-Enabled Cooperative Perception for Connected Autonomous Vehicles: Challenges and Opportunities" (2021), published in IEEE Network
  • "A Survey of Collaborative Machine Learning Using 5G Vehicular Communications" (2022), published in IEEE Communications Surveys & Tutorials
  • "Recent progress in terahertz biosensors based on artificial electromagnetic subwavelength structure" (2022), published in TrAC Trends in Analytical Chemistry

Honggang Wang has worked extensively with several frequent coauthors, including:

  • Hua Fang
  • Ruyan Wang
  • Dapeng Wu
  • Ye Liu
  • Hieu Ngo

In recognition of scholarly contributions, Honggang Wang was named an IEEE Fellow in 2021 for contributions to low power wireless for IoT and multimedia applications.

Best Publications

  • Visible light communications for 5G wireless networking systems: from fixed to mobile communications

    Shaoen Wu;Honggang Wang

  • Blockchain-Based Internet of Vehicles: Distributed Network Architecture and Performance Analysis

    Tigang Jiang;Hua Fang;Honggang Wang

  • ECG-Cryptography and Authentication in Body Area Networks

    Zhaoyang Zhang;Honggang Wang;A. V. Vasilakos;Hua Fang

  • Internet of Things for In-Home Health Monitoring Systems: Current Advances, Challenges and Future Directions

    Nada Y. Philip;Joel J. P. C. Rodrigues;Honggang Wang;Simon James Fong

  • Resource-aware secure ECG healthcare monitoring through body sensor networks

    Honggang Wang;Dongming Peng;Wei Wang;H. Sharif

  • Social Attribute Aware Incentive Mechanism for Device-to-Device Video Distribution

    Dapeng Wu;Junjie Yan;Honggang Wang;Dalei Wu

  • QoE-Driven Channel Allocation Schemes for Multimedia Transmission of Priority-Based Secondary Users over Cognitive Radio Networks

    Tigang Jiang;Honggang Wang;A. V. Vasilakos

  • Guest Editorial - Special Issue on Internet of Things (IoT): Architecture, Protocols and Services

    Chonggang Wang;Mahmoud Daneshmand;Mischa Dohler;Xufei Mao

  • Priority-Based Traffic Scheduling and Utility Optimization for Cognitive Radio Communication Infrastructure-Based Smart Grid

    Jingfang Huang;Honggang Wang;Yi Qian;Chonggang Wang

  • A Feature-Based Learning System for Internet of Things Applications

    Dapeng Wu;Hang Shi;Honggang Wang;Ruyan Wang

  • A hierarchical packet forwarding mechanism for energy harvesting wireless sensor networks

    Dapeng Wu;Jing He;Honggang Wang;Chonggang Wang

  • A Wireless Health Monitoring System Using Mobile Phone Accessories

    Md. Shaad Mahmud;Honggang Wang;A. M. Esfar-E-Alam;Hua Fang

  • A survey of big data research

    Hua Fang;Zhaoyang Zhang;Chanpaul Jin Wang;Mahmoud Daneshmand

  • A Survey of Collaborative Machine Learning Using 5G Vehicular Communications

    Unknown

  • Survey on Prediction Algorithms in Smart Homes

    Shaoen Wu;Jacob B. Rendall;Matthew J. Smith;Shangyu Zhu

  • Socially Aware Energy-Efficient Mobile Edge Collaboration for Video Distribution

    Dapeng Wu;Qianru Liu;Honggang Wang;Dalei Wu

  • User preferences based software defect detection algorithms selection using MCDM

    Yi Peng;Guoxun Wang;Honggang Wang

  • Interference Mitigation for Cyber-Physical Wireless Body Area Network System Using Social Networks

    Zhaoyang Zhang;Honggang Wang;Chonggang Wang;Hua Fang

  • Knowledge-Centric Edge Computing Based on Virtualized D2D Communication Systems

    Ruyan Wang;Junjie Yan;Dapeng Wu;Honggang Wang

  • Multimedia communications over cognitive radio networks for smart grid applications

    Honggang Wang;Yi Qian;H. Sharif

  • An Integrated Biometric-Based Security Framework Using Wavelet-Domain HMM in Wireless Body Area Networks (WBAN)

    Honggang Wang;Hua Fang;Liudong Xing;Min Chen

  • Secure wireless communication system for smart grid with rechargeable electric vehicles

    Hai Su;Meikang Qiu;Honggang Wang

Frequent Co-Authors

Hamid Sharif
Hamid Sharif University of Nebraska–Lincoln
Dapeng Wu
Dapeng Wu City University of Hong Kong
Hsiao-Hwa Chen
Hsiao-Hwa Chen National Cheng Kung University
Chonggang Wang
Chonggang Wang InterDigital (United States)
Liudong Xing
Liudong Xing University of Massachusetts Dartmouth
Athanasios V. Vasilakos
Athanasios V. Vasilakos University of Agder
Yi Qian
Yi Qian University of Nebraska–Lincoln
Min Chen
Min Chen South China University of Technology
Zheng Yan
Zheng Yan Xidian University
Yonggang Wen
Yonggang Wen Nanyang Technological University

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