World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
50
Citations
8831
World Ranking
4111
National Ranking
818

Maokun Li publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Maokun Li sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 394 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Maokun Li D-index placement in Engineering and Technology in 2026

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

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 50 D-Index — 59th percentile

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

The last bar groups every scientist with 107 D-Index or more.

Overview

Maokun Li is affiliated with Tsinghua University in China and has contributed extensively to the engineering field. Their scholarly work spans a variety of specialized areas, particularly within engineering subfields such as aerospace engineering, electrical and electronic engineering, biomedical engineering, geophysics, and ocean engineering.

Key topics of Maokun Li's research include:

  • Advanced Antenna and Metasurface Technologies
  • Antenna Design and Analysis
  • Microwave Imaging and Scattering Analysis
  • Geophysical Methods and Applications
  • Electromagnetic Scattering and Analysis
  • Metamaterials and Metasurfaces Applications
  • Geophysical and Geoelectrical Methods

The scientist has a prolific publication record in several notable venues, which include:

  • IEEE Transactions on Antennas and Propagation
  • arXiv (Cornell University)
  • IEEE Antennas and Wireless Propagation Letters
  • IEEE Transactions on Geoscience and Remote Sensing
  • 2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (APS/URSI)

Recent published works by Maokun Li feature topics aligned with electromagnetic and antenna technologies. Selected papers include:

  • "A REVIEW OF DEEP LEARNING APPROACHES FOR INVERSE SCATTERING PROBLEMS (INVITED REVIEW)," 2020, Electromagnetic waves
  • "Coding Programmable Metasurfaces Based on Deep Learning Techniques," 2020, IEEE Journal on Emerging and Selected Topics in Circuits and Systems
  • "A Novel 1 Bit Wide-Angle Beam Scanning Reconfigurable Transmitarray Antenna Using an Equivalent Magnetic Dipole Element," 2020, IEEE Transactions on Antennas and Propagation
  • "A 10 240-Element Reconfigurable Reflectarray With Fast Steerable Monopulse Patterns," 2020, IEEE Transactions on Antennas and Propagation
  • "Ag-Modified g-C3N4 Prepared by a One-Step Calcination Method for Enhanced Catalytic Efficiency and Stability," 2020, ACS Omega

Collaborations are a significant aspect of Maokun Li's research output. Frequent coauthors include:

  • Shenheng Xu
  • Fan Yang
  • Marco Salucci
  • Shiwen Yang
  • Francesco P. Andriulli

Maokun Li's work has a strong emphasis on antenna and metasurface technologies, coupled with applications in electromagnetic scattering and geophysical analysis. Their research portfolio reflects interdisciplinary engagement within engineering disciplines and demonstrates a focus on advanced technologies and analytical methods within their fields of expertise.

Best Publications

  • A programmable metasurface with dynamic polarization, scattering and focusing control

    Huanhuan Yang;Xiangyu Cao;Fan Yang;Jun Gao

  • A 1-Bit $10 imes 10$ Reconfigurable Reflectarray Antenna: Design, Optimization, and Experiment

    Huanhuan Yang;Fan Yang;Shenheng Xu;Yilin Mao

  • A 1600-Element Dual-Frequency Electronically Reconfigurable Reflectarray at X/Ku-Band

    Huanhuan Yang;Fan Yang;Xiangyu Cao;Shenheng Xu

  • A REVIEW OF DEEP LEARNING APPROACHES FOR INVERSE SCATTERING PROBLEMS (INVITED REVIEW)

    Xudong Chen;Zhun Wei;Maokun Li;and Paolo Rocca

  • DNNs as Applied to Electromagnetics, Antennas, and Propagation - A Review

    Andrea Massa;Davide Marcantonio;Xudong Chen;Maokun Li

  • A Study of Phase Quantization Effects for Reconfigurable Reflectarray Antennas

    Huanhuan Yang;Fan Yang;Shenheng Xu;Maokun Li

  • Wave-Field Interaction With Complex Structures Using Equivalence Principle Algorithm

    Mao-Kun Li;Weng Cho Chew

  • A Broadband High-Efficiency Reconfigurable Reflectarray Antenna Using Mechanically Rotational Elements

    Xue Yang;Shenheng Xu;Fan Yang;Maokun Li

  • A Double-Layer Transmitarray Antenna Using Malta Crosses With Vias

    Wenxing An;Shenheng Xu;Fan Yang;Maokun Li

  • Multiscale Simulation of Complex Structures Using Equivalence Principle Algorithm With High-Order Field Point Sampling Scheme

    Mao-Kun Li;Weng Cho Chew

  • Design and Experiment of a Near-Zero-Thickness High-Gain Transmit-Reflect-Array Antenna Using Anisotropic Metasurface

    Fan Yang;Ruyuan Deng;Shenheng Xu;Maokun Li

  • Inversion algorithms for large-scale geophysical electromagnetic measurements

    A. Abubakar;T. M. Habashy;M. Li;J. Liu

  • Coding Programmable Metasurfaces Based on Deep Learning Techniques

    Tao Shan;Xiaotian Pan;Maokun Li;Shenheng Xu

  • Design and Measurement of a 1-bit Reconfigurable Transmitarray With Subwavelength H-Shaped Coupling Slot Elements

    Min Wang;Shenheng Xu;Fan Yang;Maokun Li

  • A Novel 1 Bit Wide-Angle Beam Scanning Reconfigurable Transmitarray Antenna Using an Equivalent Magnetic Dipole Element

    Yu Wang;Shenheng Xu;Fan Yang;Maokun Li

  • A domain decomposition scheme based on equivalence theorem

    Mao Kun Li;Weng C. Chew;Li J. Jiang

  • Supervised Descent Learning Technique for 2-D Microwave Imaging

    Rui Guo;Xiaoqian Song;Maokun Li;Fan Yang

  • A contrast source inversion method in the wavelet domain

    Maokun Li;Oğuz Semerci;Aria Abubakar

  • An FSS-Backed Ku/Ka Quad-Band Reflectarray Antenna for Satellite Communications

    Ruyuan Deng;Shenheng Xu;Fan Yang;Maokun Li

  • A 10 240-Element Reconfigurable Reflectarray With Fast Steerable Monopulse Patterns

    Xiaotian Pan;Fan Yang;Shenheng Xu;Maokun Li

  • A 1-Bit Bidirectional Reconfigurable Transmit-Reflect-Array Using a Single-Layer Slot Element With PIN Diodes

    Min Wang;Shenheng Xu;Fan Yang;Maokun Li

  • Application of the Multiplicative Regularized Gauss–Newton Algorithm for Three-Dimensional Microwave Imaging

    A. Abubakar;T. M. Habashy;Guangdong Pan;Mao-Kun Li

Frequent Co-Authors

Shenheng Xu
Shenheng Xu Tsinghua University
Fan Yang
Fan Yang Tsinghua University
Aria Abubakar
Aria Abubakar Schlumberger (United States)
Tarek M. Habashy
Tarek M. Habashy Schlumberger (United States)
Weng Cho Chew
Weng Cho Chew Purdue University West Lafayette
Andrea Massa
Andrea Massa University of Trento
Marco Salucci
Marco Salucci University of Trento
Xiangyu Cao
Xiangyu Cao Air Force Engineering University
Xudong Chen
Xudong Chen National University of Singapore
Paolo Rocca
Paolo Rocca University of Trento

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