World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
31
Citations
2814
World Ranking
6686
National Ranking
967

Chenhao Qi 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 Chenhao Qi 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: 161 publications — 18th percentile

18% of scientists in this discipline score the same or lower.

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

Chenhao Qi 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 Chenhao Qi 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Best Publications

  • Sparse Channel Estimation and Hybrid Precoding Using Deep Learning for Millimeter Wave Massive MIMO

    Wenyan Ma;Chenhao Qi;Zaichen Zhang;Julian Cheng

  • Hybrid Beamforming for Millimeter Wave MIMO Integrated Sensing and Communications

    Unknown

  • Pilot Design Schemes for Sparse Channel Estimation in OFDM Systems

    Chenhao Qi;Guosen Yue;Lenan Wu;Yongming Huang

  • Optimized Pilot Placement for Sparse Channel Estimation in OFDM Systems

    Chenhao Qi;Lenan Wu

  • Energy-Efficient Transceiver Design for Hybrid Sub-Array Architecture MIMO Systems

    Shiwen He;Chenhao Qi;Yongpeng Wu;Yongming Huang

  • Hierarchical Codebook-Based Multiuser Beam Training for Millimeter Wave Massive MIMO

    Chenhao Qi;Kangjian Chen;Octavia A. Dobre;Geoffrey Ye Li

  • A Study of Deterministic Pilot Allocation for Sparse Channel Estimation in OFDM Systems

    Chenhao Qi;Lenan Wu

  • Pilot Design for Sparse Channel Estimation in OFDM-Based Cognitive Radio Systems

    Chenhao Qi;Guosen Yue;Lenan Wu;A. Nallanathan

  • Beam Training and Allocation for Multiuser Millimeter Wave Massive MIMO Systems

    Xuyao Sun;Chenhao Qi;Geoffrey Ye Li

  • Two-Step Codeword Design for Millimeter Wave Massive MIMO Systems With Quantized Phase Shifters

    Kangjian Chen;Chenhao Qi;Geoffrey Ye Li

  • Machine Learning for Beam Alignment in Millimeter Wave Massive MIMO

    Wenyan Ma;Chenhao Qi;Geoffrey Ye Li

  • Underwater acoustic channel estimation based on sparse recovery algorithms

    C. Qi;X. Wang;L. Wu

  • Acquisition of channel state information for mmWave massive MIMO: traditional and machine learning-based approaches

    Chenhao Qi;Peihao Dong;Wenyan Ma;Hua Zhang

  • Precoding Design for Energy Efficiency of Multibeam Satellite Communications

    Unknown

  • High-Resolution Channel Estimation for Frequency-Selective mmWave Massive MIMO Systems

    Wenyan Ma;Chenhao Qi;Geoffrey Ye Li

  • Sparse channel estimation based on compressed sensing for massive MIMO systems

    Chenhao Qi;Yongming Huang;Shi Jin;Lenan Wu

  • Deep Learning for Beam Training in Millimeter Wave Massive MIMO Systems

    Chenhao Qi;Yujie Wang;Geoffrey Ye Li

  • A hybrid compressed sensing algorithm for sparse channel estimation in MIMO OFDM systems

    Chenhao Qi;Lenan Wu

  • Energy Efficient Multicast Precoding for Multiuser Multibeam Satellite Communications

    Chenhao Qi;Huajian Chen;Yansha Deng;Arumugam Nallanathan

  • Uplink channel estimation for massive MIMO systems exploring joint channel sparsity

    Chenhao Qi;Lenan Wu

Frequent Co-Authors

Lenan Wu
Lenan Wu Southeast University
Geoffrey Ye Li
Geoffrey Ye Li Imperial College London
Yongming Huang
Yongming Huang Southeast University
Arumugam Nallanathan
Arumugam Nallanathan Queen Mary University of London
Zaichen Zhang
Zaichen Zhang Southeast University
Julian Cheng
Julian Cheng University of British Columbia
Shi Jin
Shi Jin Southeast University
Luxi Yang
Luxi Yang Southeast University
Yansha Deng
Yansha Deng King's College London
Zhaocheng Wang
Zhaocheng Wang Tsinghua University

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Related Online Degrees & Career Pathways

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For those interested in educational technology or corporate training within engineering fields, exploring affordable programs like the instructional design master’s degree can be highly advantageous. This specialization helps in creating effective learning experiences.

Additionally, competency-based education is gaining traction as an efficient way to demonstrate skills and knowledge at your own pace. Several institutions listed among the best competency-based colleges offer tailored programs for engineering students seeking flexible and personalized learning pathways.

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