World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
66
Citations
21013
World Ranking
1123
National Ranking
200

Computer Science

D-Index
67
Citations
21210
World Ranking
2171
National Ranking
294

Mugen Peng 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 Mugen Peng 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: 577 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Mugen Peng 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 Mugen Peng 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: 66 D-Index — 84th percentile

84% 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

  • 2020 - IEEE Fellow For contributions to radio resource management of wireless networks

Overview

Mugen Peng is affiliated with Beijing University of Posts and Telecommunications in China and has an extensive publication record in the fields of Engineering and Computer Science.

Their research spans several subfields, including Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering, Artificial Intelligence, and Plant Science. The main topics covered in their work include Advanced Wireless Communication Technologies, IoT and Edge/Fog Computing, Advanced MIMO Systems Optimization, Satellite Communication Systems, Indoor and Outdoor Localization Technologies, IoT Networks and Protocols, and Underwater Vehicles and Communication Systems.

Mugen Peng has contributed to a variety of venues. Frequent publication venues include:

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

The scientist has collaborated extensively with several co-authors, notably:

  • Yaohua Sun
  • Chenxi Liu
  • Xiqing Liu
  • Xiaoling Hu
  • Zhongyuan Zhao

Among recent papers, notable publications include:

  • "Vision, Requirements, and Technology Trend of 6G: How to Tackle the Challenges of System Coverage, Capacity, User Data-Rate and Movement Speed" (2020, IEEE Wireless Communications)
  • "Toward Edge Intelligence: Multiaccess Edge Computing for 5G and Internet of Things" (2020, IEEE Internet of Things Journal)
  • "Performance analysis and comparison of PoW, PoS and DAG based blockchains" (2020, Digital Communications and Networks)
  • "Resource Allocation for Energy-Efficient MEC in NOMA-Enabled Massive IoT Networks" (2020, IEEE Journal on Selected Areas in Communications)
  • "Optimal Resource Allocation for Delay Minimization in NOMA-MEC Networks" (2020, IEEE Transactions on Communications)

Mugen Peng has also authored books published by Springer International Publishing, including:

  • Fog Radio Access Networks (F-RAN) (2020)
  • Reconfigurable Intelligent Surface-Enabled Integrated Sensing and Communication in 6G (2024)

The scientist was recognized as an IEEE Fellow in 2020 for contributions to radio resource management of wireless networks.

Best Publications

  • Cooperative Non-Orthogonal Multiple Access in 5G Systems

    Zhiguo Ding;Mugen Peng;H. Vincent Poor

  • Vision, Requirements, and Technology Trend of 6G: How to Tackle the Challenges of System Coverage, Capacity, User Data-Rate and Movement Speed

    Shanzhi Chen;Ying-Chang Liang;Shaohui Sun;Shaoli Kang

  • Fog-computing-based radio access networks: issues and challenges

    Mugen Peng;Shi Yan;Kecheng Zhang;Chonggang Wang

  • Edge computing technologies for Internet of Things: a primer

    Yuan Ai;Mugen Peng;Kecheng Zhang

  • Application of Machine Learning in Wireless Networks: Key Techniques and Open Issues

    Yaohua Sun;Mugen Peng;Yangcheng Zhou;Yuzhe Huang

  • System architecture and key technologies for 5G heterogeneous cloud radio access networks

    Mugen Peng;Yong Li;Zhongyuan Zhao;Chonggang Wang

  • Heterogeneous cloud radio access networks: a new perspective for enhancing spectral and energy efficiencies

    Mugen Peng;Yuan Li;Jiamo Jiang;Jian Li

  • Application of smart antenna technologies in simultaneous wireless information and power transfer

    Zhiguo Ding;Caijun Zhong;Derrick Wing Kwan Ng;Mugen Peng

  • Toward Edge Intelligence: Multiaccess Edge Computing for 5G and Internet of Things

    Yaqiong Liu;Mugen Peng;Guochu Shou;Yudong Chen

  • Fronthaul-constrained cloud radio access networks: insights and challenges

    Mugen Peng;Chonggang Wang;Vincent Lau;H. Vincent Poor

  • Self-configuration and self-optimization in LTE-advanced heterogeneous networks

    Mugen Peng;Dong Liang;Yao Wei;Jian Li

  • Recent Advances in Cloud Radio Access Networks: System Architectures, Key Techniques, and Open Issues

    Mugen Peng;Yaohua Sun;Xuelong Li;Zhendong Mao

  • Energy-Efficient Resource Assignment and Power Allocation in Heterogeneous Cloud Radio Access Networks

    Mugen Peng;Kecheng Zhang;Jiamo Jiang;Jiaheng Wang

  • When Internet of Things Meets Blockchain: Challenges in Distributed Consensus

    Bin Cao;Yixin Li;Lei Zhang;Long Zhang

  • Hybrid Precoding-Based Millimeter-Wave Massive MIMO-NOMA With Simultaneous Wireless Information and Power Transfer

    Linglong Dai;Bichai Wang;Mugen Peng;Shanzhi Chen

  • Deep Reinforcement Learning-Based Mode Selection and Resource Management for Green Fog Radio Access Networks

    Yaohua Sun;Mugen Peng;Shiwen Mao

  • Performance analysis and comparison of PoW, PoS and DAG based blockchains

    Bin Cao;Bin Cao;Zhenghui Zhang;Daquan Feng;Shengli Zhang

  • Resource Allocation for Energy-Efficient MEC in NOMA-Enabled Massive IoT Networks

    Binghong Liu;Chenxi Liu;Mugen Peng

  • On the Spectral Efficiency and Security Enhancements of NOMA Assisted Multicast-Unicast Streaming

    Zhiguo Ding;Zhongyuan Zhao;Mugen Peng;H. Vincent Poor

  • Fronthaul-Constrained Cloud Radio Access Networks: Insights and Challenges

    M. Peng;C. Wang;V. Lau;H. V. Poor

  • Deep-Reinforcement-Learning-Based Mode Selection and Resource Allocation for Cellular V2X Communications

    Xinran Zhang;Mugen Peng;Shi Yan;Yaohua Sun

  • Cloud radio access network: Virtualizing wireless access for dense heterogeneous systems

    Osvaldo Simeone;Andreas Maeder;Mugen Peng;Onur Sahin

  • Subcarrier pairing for amplify-and-forward and decode-and-forward OFDM relay links

    Yong Li;Wenbo Wang;Jia Kong;Mugen Peng

Frequent Co-Authors

Wenbo Wang
Wenbo Wang Beijing University of Posts and Telecommunications
Zhiguo Ding
Zhiguo Ding Nanyang Technological University
Tony Q. S. Quek
Tony Q. S. Quek Singapore University of Technology and Design
H. Vincent Poor
H. Vincent Poor Princeton University
Chonggang Wang
Chonggang Wang InterDigital (United States)
Hsiao-Hwa Chen
Hsiao-Hwa Chen National Cheng Kung University
Wei Yu
Wei Yu University of Toronto
Osvaldo Simeone
Osvaldo Simeone Northeastern University
Vincent K. N. Lau
Vincent K. N. Lau Hong Kong University of Science and Technology
Lei Zhang
Lei Zhang University of Glasgow

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