World's Best Scientists 2026 revealed!
Mengdao Xing

Mengdao Xing

D-Index & Metrics

Computer Science

D-Index
67
Citations
16788
World Ranking
2204
National Ranking
300

Mengdao Xing publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Mengdao Xing sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 652 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Mengdao Xing D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Mengdao Xing sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 67 D-Index — 85th percentile

85% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2020 - IEEE Fellow For contributions to radar imaging and motion compensation algorithms

Overview

Mengdao Xing is affiliated with Xidian University in China and has a substantial body of research within engineering, particularly focusing on aerospace engineering and related fields.

Their work spans various subfields including:

  • Aerospace Engineering
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Media Technology
  • Electrical and Electronic Engineering

The main topics of Mengdao Xing's research contributions cover:

  • Advanced SAR Imaging Techniques
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Microwave Imaging and Scattering Analysis
  • Radar Systems and Signal Processing
  • Remote-Sensing Image Classification
  • Geophysical Methods and Applications
  • Optical Systems and Laser Technology

They have published extensively in several prominent venues, including:

  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Remote Sensing
  • IEEE Geoscience and Remote Sensing Letters
  • 2021 CIE International Conference on Radar (Radar)

Recent notable papers authored or co-authored by Mengdao Xing include:

  • Sparse Synthetic Aperture Radar Imaging From Compressed Sensing and Machine Learning: Theories, applications, and trends, 2022, IEEE Geoscience and Remote Sensing Magazine
  • FEC: A Feature Fusion Framework for SAR Target Recognition Based on Electromagnetic Scattering Features and Deep CNN Features, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • Motion Compensation/Autofocus in Airborne Synthetic Aperture Radar: A Review, 2021, IEEE Geoscience and Remote Sensing Magazine
  • CRTransSar: A Visual Transformer Based on Contextual Joint Representation Learning for SAR Ship Detection, 2022, Remote Sensing
  • Radar Deception Jamming Recognition Based on Weighted Ensemble CNN With Transfer Learning, 2021, IEEE Transactions on Geoscience and Remote Sensing

Frequent collaborators in their research efforts include:

  • Guang-Cai Sun
  • Yinghui Quan
  • Hanwen Yu
  • Yachao Li
  • Wei Feng

Mengdao Xing was awarded the IEEE Fellow distinction in 2020 for contributions to radar imaging and motion compensation algorithms.

Best Publications

  • Resolution Enhancement for Inversed Synthetic Aperture Radar Imaging Under Low SNR via Improved Compressive Sensing

    Lei Zhang;Mengdao Xing;Cheng-Wei Qiu;Jun Li

  • Motion Compensation for UAV SAR Based on Raw Radar Data

    Mengdao Xing;Xiuwei Jiang;Renbiao Wu;Feng Zhou

  • Achieving Higher Resolution ISAR Imaging With Limited Pulses via Compressed Sampling

    Lei Zhang;Mengdao Xing;Cheng-Wei Qiu;Jun Li

  • Radar HRRP target recognition based on higher order spectra

    Lan Du;Hongwei Liu;Zheng Bao;Mengdao Xing

  • Lv's Distribution: Principle, Implementation, Properties, and Performance

    Xiaolei Lv;Guoan Bi;Chunru Wan;Mengdao Xing

  • Migration through resolution cell compensation in ISAR imaging

    Mengdao Xing;Renbiao Wu;Jinqiao Lan;Zheng Bao

  • Approach for single channel SAR ground moving target imaging and motion parameter estimation

    F. Zhou;R. Wu;M. Xing;Z. Bao

  • Robust Ground Moving-Target Imaging Using Deramp–Keystone Processing

    Guangcai Sun;Mengdao Xing;Xiang-Gen Xia;Yirong Wu

  • A Robust Motion Compensation Approach for UAV SAR Imagery

    Lei Zhang;Zhijun Qiao;Meng-dao Xing;Lei Yang

  • High-Resolution ISAR Imaging by Exploiting Sparse Apertures

    Lei Zhang;Zhi-Jun Qiao;Meng-Dao Xing;Jian-Lian Sheng

  • Sparse Synthetic Aperture Radar Imaging From Compressed Sensing and Machine Learning: Theories, applications, and trends

    Unknown

  • High-Resolution ISAR Imaging With Sparse Stepped-Frequency Waveforms

    Lei Zhang;Zhi-jun Qiao;Mengdao Xing;Yachao Li

  • Imaging of Micromotion Targets With Rotating Parts Based on Empirical-Mode Decomposition

    Xueru Bai;Mengdao Xing;Feng Zhou;Guangyue Lu

  • Eigensubspace-Based Filtering With Application in Narrow-Band Interference Suppression for SAR

    F. Zhou;R. Wu;M. Xing;Z. Bao

  • CRTransSar: A Visual Transformer Based on Contextual Joint Representation Learning for SAR Ship Detection

    Unknown

  • High-speed multi-target detection with narrowband radar

    J. Su;M. Xing;G. Wang;Z. Bao

  • FEC: A Feature Fusion Framework for SAR Target Recognition Based on Electromagnetic Scattering Features and Deep CNN Features

    Jinsong Zhang;Mengdao Xing;Yiyuan Xie

  • High resolution ISAR imaging of high speed moving targets

    M. Xing;R. Wu;Z. Bao

  • Focus Improvement of Highly Squinted Data Based on Azimuth Nonlinear Scaling

    Guangcai Sun;Xiuwei Jiang;Mengdao Xing;Zhi-jun Qiao

  • New Parameter Estimation and Detection Algorithm for High Speed Small Target

    Mengdao Xing;Junhai Su;Genyuan Wang;Zheng Bao

  • Properties of high-resolution range profiles

    Mengdao Xing;Zheng Bao;Bingnan Pei

  • High-Resolution Three-Dimensional Radar Imaging for Rapidly Spinning Targets

    Qi Wang;Mengdao Xing;Guangyue Lu;Zheng Bao

  • Bayesian Inverse Synthetic Aperture Radar Imaging

    Gang Xu;Mengdao Xing;Lei Zhang;Yabo Liu

Frequent Co-Authors

Zheng Bao
Zheng Bao Xidian University
Guang-Cai Sun
Guang-Cai Sun Xidian University
Xiang-Gen Xia
Xiang-Gen Xia University of Delaware
Cheng-Wei Qiu
Cheng-Wei Qiu National University of Singapore
Tat Soon Yeo
Tat Soon Yeo National University of Singapore
Yimin Zhang
Yimin Zhang Temple University
Qing Huo Liu
Qing Huo Liu Eastern Institute of Technology, Ningbo
Yong-Xin Guo
Yong-Xin Guo City University of Hong Kong
Wen-Qin Wang
Wen-Qin Wang University of Electronic Science and Technology of China
Zhangming Zhu
Zhangming Zhu Xidian University

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