World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
68
Citations
23637
World Ranking
993
National Ranking
174

Kaibin Huang 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 Kaibin Huang 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: 293 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Kaibin Huang 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 Kaibin Huang 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: 68 D-Index — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Overview

Kaibin Huang is affiliated with the University of Hong Kong in China. Their research primarily spans the fields of Engineering and Computer Science, with numerous contributions focusing on Electrical and Electronic Engineering, Computer Networks and Communications, and Artificial Intelligence.

The scientist has published extensively on topics related to wireless communication and network optimization. Their main topics of work include:

  • Privacy-Preserving Technologies in Data
  • Indoor and Outdoor Localization Technologies
  • IoT and Edge/Fog Computing
  • Advanced MIMO Systems Optimization
  • Energy Harvesting in Wireless Networks
  • Advanced Wireless Communication Technologies
  • Age of Information Optimization

Kaibin Huang's frequent coauthors reflect a collaborative research profile, including:

  • Guangxu Zhu
  • Yi Gong
  • Qunsong Zeng
  • Xiaoyang Li
  • Dingzhu Wen

The scientist has contributed a significant number of papers to renowned venues, often cited within the wireless communications community. Their frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Wireless Communications
  • IEEE Journal on Selected Areas in Communications
  • IEEE Wireless Communications
  • IEEE Communications Magazine

Notable recent research papers by Kaibin Huang are:

  • Toward an Intelligent Edge: Wireless Communication Meets Machine Learning, 2020, IEEE Communications Magazine
  • Distributed Learning in Wireless Networks: Recent Progress and Future Challenges, 2021, IEEE Journal on Selected Areas in Communications
  • One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis, 2020, IEEE Transactions on Wireless Communications
  • Scheduling for Cellular Federated Edge Learning With Importance and Channel Awareness, 2020, IEEE Transactions on Wireless Communications
  • Optimized Power Control for Over-the-Air Computation in Fading Channels, 2020, IEEE Transactions on Wireless Communications

Throughout their career, Kaibin Huang has produced a large body of technical work, tallying over 285 publications in engineering and nearly 250 in computer science disciplines. Their interdisciplinary research integrates core wireless communication techniques with emerging trends in machine learning and privacy technology.

Best Publications

  • A Survey on Mobile Edge Computing: The Communication Perspective

    Yuyi Mao;Changsheng You;Jun Zhang;Kaibin Huang

  • Energy-Efficient Resource Allocation for Mobile-Edge Computation Offloading

    Changsheng You;Kaibin Huang;Hyukjin Chae;Byoung-Hoon Kim

  • Energy Harvesting Wireless Communications: A Review of Recent Advances

    Sennur Ulukus;Aylin Yener;Elza Erkip;Osvaldo Simeone

  • Enabling Wireless Power Transfer in Cellular Networks: Architecture, Modeling and Deployment

    Kaibin Huang;Vincent K. N. Lau

  • Broadband Analog Aggregation for Low-Latency Federated Edge Learning

    Guangxu Zhu;Yong Wang;Kaibin Huang

  • Opportunistic Wireless Energy Harvesting in Cognitive Radio Networks

    Seunghyun Lee;Rui Zhang;Kaibin Huang

  • Toward an Intelligent Edge: Wireless Communication Meets Machine Learning

    Guangxu Zhu;Dongzhu Liu;Yuqing Du;Changsheng You

  • Energy Efficient Mobile Cloud Computing Powered by Wireless Energy Transfer

    Changsheng You;Kaibin Huang;Hyukjin Chae

  • Distributed Learning in Wireless Networks: Recent Progress and Future Challenges

    Mingzhe Chen;Deniz Gunduz;Kaibin Huang;Walid Saad

  • Simultaneous Information and Power Transfer for Broadband Wireless Systems

    Kaibin Huang;Erik G. Larsson

  • One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis

    Guangxu Zhu;Yuqing Du;Deniz Gunduz;Kaibin Huang

  • Cutting the last wires for mobile communications by microwave power transfer

    Kaibin Huang;Xiangyun Zhou

  • Spectrum sharing between cellular and mobile ad hoc networks: transmission-capacity trade-off

    Kaibin Huang;V.K.N. Lau;Yan Chen

  • Performance of Orthogonal Beamforming for SDMA With Limited Feedback

    Kaibin Huang;J.G. Andrews;R.W. Heath

  • MIMO Over-the-Air Computation for High-Mobility Multimodal Sensing

    Guangxu Zhu;Kaibin Huang

  • Wirelessly Powered Backscatter Communication Networks: Modeling, Coverage, and Capacity

    Kaifeng Han;Kaibin Huang

  • Energy-Efficient Radio Resource Allocation for Federated Edge Learning

    Qunsong Zeng;Yuqing Du;Kaibin Huang;Kin K. Leung

  • Optimized Power Control for Over-the-Air Computation in Fading Channels

    Xiaowen Cao;Guangxu Zhu;Jie Xu;Kaibin Huang

  • Mobile Edge Computing: Survey and Research Outlook.

    Yuyi Mao;Changsheng You;Jun Zhang;Kaibin Huang

  • MIMO precoding enabling spatial multiplexing, power allocation and adaptive modulation and coding

    Jayesh H. Kotecha;Kaibin Huang

  • Scheduling for Cellular Federated Edge Learning With Importance and Channel Awareness

    Jinke Ren;Yinghui He;Dingzhu Wen;Guanding Yu

  • Towards an Intelligent Edge: Wireless Communication Meets Machine Learning

    Guangxu Zhu;Dongzhu Liu;Yuqing Du;Changsheng You

  • Energy Efficient Mobile Cloud Computing Powered by Wireless Energy Transfer (extended version)

    Changsheng You;Kaibin Huang;Hyukjin Chae

Frequent Co-Authors

Guangxu Zhu
Guangxu Zhu Shenzhen Research Institute of Big Data
Vincent K. N. Lau
Vincent K. N. Lau Hong Kong University of Science and Technology
Changsheng You
Changsheng You Southern University of Science and Technology
Robert W. Heath
Robert W. Heath University of California, San Diego
Jeffrey G. Andrews
Jeffrey G. Andrews The University of Texas at Austin
Byoung-Hoon Kim
Byoung-Hoon Kim LG Corporation (South Korea)
Rui Zhang
Rui Zhang National University of Singapore
Jun Zhang
Jun Zhang Hong Kong University of Science and Technology
Xiangyun Zhou
Xiangyun Zhou Australian National University
Sergey Andreev
Sergey Andreev Tampere University

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