World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
9509
World Ranking
5639
National Ranking
746

Guolong Cui 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 Guolong Cui 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: 448 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Guolong Cui 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 Guolong Cui 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: 50 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Overview

Guolong Cui is affiliated with the University of Electronic Science and Technology of China. Their research primarily falls within the field of Engineering, with significant contributions across several subfields including Aerospace Engineering, Electrical and Electronic Engineering, Biomedical Engineering, Signal Processing, and Artificial Intelligence.

The scientist has published extensively in areas related to radar systems and signal processing, advanced synthetic aperture radar (SAR) imaging techniques, microwave imaging and scattering analysis, indoor and outdoor localization technologies, antenna design and optimization, geophysical methods and applications, and direction-of-arrival estimation techniques.

Frequent publication venues for Guolong Cui include:

  • IEEE Transactions on Aerospace and Electronic Systems
  • IEEE Sensors Journal
  • IEEE Transactions on Vehicular Technology
  • 2021 CIE International Conference on Radar (Radar)
  • Signal Processing

Guolong Cui has co-authored extensively with several researchers, notably:

  • Xianxiang Yu
  • Shisheng Guo
  • Lingjiang Kong
  • Jiahui Chen
  • Xiaolong Li

Some of their recent papers include:

  • MIMO Radar Waveform Design in the Presence of Multiple Targets and Practical Constraints, 2020, IEEE Transactions on Signal Processing
  • Multi-Spectrally Constrained Transceiver Design Against Signal-Dependent Interference, 2022, IEEE Transactions on Signal Processing
  • Quadratic Optimization for Unimodular Sequence Design via an ADPM Framework, 2020, IEEE Transactions on Signal Processing
  • Multispectrally Constrained MIMO Radar Beampattern Design via Sequential Convex Approximation, 2022, IEEE Transactions on Aerospace and Electronic Systems
  • Integrated Waveform Design for MIMO Radar and Communication via Spatio-Spectral Modulation, 2022, IEEE Transactions on Signal Processing

The main research topics addressed in Guolong Cui's work cover:

  • Radar Systems and Signal Processing
  • Advanced SAR Imaging Techniques
  • Microwave Imaging and Scattering Analysis
  • Indoor and Outdoor Localization Technologies
  • Antenna Design and Optimization
  • Geophysical Methods and Applications
  • Direction-of-Arrival Estimation Techniques

Best Publications

  • MIMO Radar Waveform Design With Constant Modulus and Similarity Constraints

    Guolong Cui;Hongbin Li;Muralidhar Rangaswamy

  • Coherent Integration for Maneuvering Target Detection Based on Radon-Lv’s Distribution

    Xiaolong Li;Guolong Cui;Wei Yi;Lingjiang Kong

  • Space-Time Transmit Code and Receive Filter Design for Colocated MIMO Radar

    Guolong Cui;Xianxiang Yu;Vincenzo Carotenuto;Lingjiang Kong

  • A Fast Maneuvering Target Motion Parameters Estimation Algorithm Based on ACCF

    Xiaolong Li;Guolong Cui;Wei Yi;Lingjiang Kong

  • Fast Non-Searching Method for Maneuvering Target Detection and Motion Parameters Estimation

    Xiaolong Li;Guolong Cui;Lingjiang Kong;Wei Yi

  • Coherent Integration Algorithm for a Maneuvering Target With High-Order Range Migration

    Lingjiang Kong;Xiaolong Li;Guolong Cui;Wei Yi

  • MIMO Radar Waveform Design in the Presence of Multiple Targets and Practical Constraints

    Xianxiang Yu;Khaled Alhujaili;Guolong Cui;Vishal Monga

  • Constrained Waveform Design for Colocated MIMO Radar With Uncertain Steering Matrices

    Xianxiang Yu;Guolong Cui;Lingjiang Kong;Jian Li

  • Human motion recognition exploiting radar with stacked recurrent neural network

    Mingyang Wang;Yimin D. Zhang;Guolong Cui

  • Detection of weak maneuvering target based on keystone transform and matched filtering process

    Zhi Sun;Xiaolong Li;Wei Yi;Guolong Cui

  • Signal detection with noisy reference for passive sensing

    Guolong Cui;Jun Liu;Hongbin Li;Braham Himed

  • STGRFT for Detection of Maneuvering Weak Target With Multiple Motion Models

    Xiaolong Li;Zhi Sun;Tat Soon Yeo;Tianxian Zhang

  • MIMO Radar Transmit–Receive Design for Moving Target Detection in Signal-Dependent Clutter

    Xianxiang Yu;Guolong Cui;Jing Yang;Lingjiang Kong

  • Joint Estimation of NLOS Building Layout and Targets via Sparsity-Driven Approach

    Unknown

  • Quadratic Optimization With Similarity Constraint for Unimodular Sequence Synthesis

    Guolong Cui;Xianxiang Yu;Goffredo Foglia;Yongwei Huang

  • Multi-Spectrally Constrained Transceiver Design against Signal-Dependent Interference

    Jing Yang;Augusto Aubry;Antonio De Maio;Xianxiang Yu

  • Local Ambiguity Function Shaping via Unimodular Sequence Design

    Guolong Cui;Yue Fu;Xianxiang Yu;Jian Li

  • Wideband MIMO Radar Waveform Design

    Xianxiang Yu;Guolong Cui;Jing Yang;Lingjiang Kong

  • A Back-projection algorithm to stepped-frequency synthetic aperture through-the-wall radar imaging

    Guolong Cui;Lingjiang Kong;Jianyu Yang

  • Constant modulus sequence set design with good correlation properties

    Guolong Cui;Xianxiang Yu;Marco Piezzo;Lingjiang Kong

  • Sequence-Reversing Transform-Based Coherent Integration for High-Speed Target Detection

    Xiaolong Li;Guolong Cui;Wei Yi;Lingjiang Kong

  • Constrained transmit beampattern design for colocated MIMO radar

    Xianxiang Yu;Guolong Cui;Tianxian Zhang;Lingjiang Kong

Frequent Co-Authors

Lingjiang Kong
Lingjiang Kong University of Electronic Science and Technology of China
Wei Yi
Wei Yi University of Electronic Science and Technology of China
Jianyu Yang
Jianyu Yang University of Electronic Science and Technology of China
Zhi Sun
Zhi Sun Tsinghua University
Antonio De Maio
Antonio De Maio University of Naples Federico II
Qing Huo Liu
Qing Huo Liu Eastern Institute of Technology, Ningbo
Augusto Aubry
Augusto Aubry University of Naples Federico II
Hongbin Li
Hongbin Li Stevens Institute of Technology
Vishal Monga
Vishal Monga Pennsylvania State University
Braham Himed
Braham Himed United States Air Force Research Laboratory

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