World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
53
Citations
10604
World Ranking
2414
National Ranking
405

Computer Science

D-Index
53
Citations
10415
World Ranking
4860
National Ranking
649

Lingjiang Kong 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 Lingjiang Kong 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: 536 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Lingjiang Kong 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 Lingjiang Kong 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: 53 D-Index — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Overview

Lingjiang Kong is affiliated with the University of Electronic Science and Technology of China in China. The primary research focus encompasses engineering and computer science fields, with a strong emphasis on specialized subfields including aerospace engineering, artificial intelligence, electrical and electronic engineering, biomedical engineering, and signal processing.

The scientist's research covers a range of topics related to radar systems and signal processing, advanced SAR imaging techniques, and target tracking and data fusion in sensor networks. Additional areas of study include microwave imaging and scattering analysis, indoor and outdoor localization technologies, distributed sensor networks and detection algorithms, and direction-of-arrival estimation techniques.

Frequent publication venues where their work has appeared include:

  • IEEE Transactions on Aerospace and Electronic Systems
  • IEEE Transactions on Vehicular Technology
  • Signal Processing
  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Transactions on Instrumentation and Measurement

Notable recent papers authored or coauthored by Lingjiang Kong are as follows:

  • Resource Scheduling for Distributed Multi-Target Tracking in Netted Colocated MIMO Radar Systems, 2020, IEEE Transactions on Signal Processing
  • Multi-Frame Track-Before-Detect Algorithm for Maneuvering Target Tracking, 2020, IEEE Transactions on Vehicular Technology
  • 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

Collaborations are a key aspect of Lingjiang Kong's research activities, with frequent coauthors including Guolong Cui, Wei Yi, Shisheng Guo, Xianxiang Yu, and Tianxian Zhang. The count of collaborative works reflects active cooperation over multiple projects and publications.

Best Publications

  • 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

  • Resource Scheduling for Distributed Multi-Target Tracking in Netted Colocated MIMO Radar Systems

    Wei Yi;Ye Yuan;Reza Hoseinnezhad;Lingjiang Kong

  • Joint Node Selection and Power Allocation Strategy for Multitarget Tracking in Decentralized Radar Networks

    Mingchi Xie;Wei Yi;Thia Kirubarajan;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

  • An Efficient Multi-Frame Track-Before-Detect Algorithm for Multi-Target Tracking

    Wei Yi;Mark R. Morelande;Lingjiang Kong;Jianyu Yang

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

    Lingjiang Kong;Xiaolong Li;Guolong Cui;Wei Yi

  • Distributed Fusion With Multi-Bernoulli Filter Based on Generalized Covariance Intersection

    Bailu Wang;Wei Yi;Reza Hoseinnezhad;Suqi Li

  • Robust Distributed Fusion With Labeled Random Finite Sets

    Suqi Li;Wei Yi;Reza Hoseinnezhad;Giorgio Battistelli

  • Multi-Frame Track-Before-Detect Algorithm for Maneuvering Target Tracking

    Wei Yi;Zicheng Fang;Wujun Li;Reza Hoseinnezhad

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

    Xianxiang Yu;Guolong Cui;Lingjiang Kong;Jian Li

  • A Computationally Efficient Particle Filter for Multitarget Tracking Using an Independence Approximation

    Wei Yi;M. R. Morelande;Lingjiang Kong;Jianyu Yang

  • Integrated Waveform Design for MIMO Radar and Communication via Spatio-Spectral Modulation

    Unknown

  • Multiframe Radar Detection of Fluctuating Targets Using Phase Information

    Haichao Jiang;Wei Yi;Thia Kirubarajan;Lingjiang Kong

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

    Zhi Sun;Xiaolong Li;Wei Yi;Guolong Cui

  • Performance analysis of GLRT-based adaptive detector for distributed targets in compound-Gaussian clutter

    Xiaofei Shuai;Lingjiang Kong;Jianyu Yang

  • 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

  • Computationally Eff i cient Multi-Agent Multi-Object Tracking With Labeled Random Finite Sets

    Suqi Li;Giorgio Battistelli;Luigi Chisci;Wei Yi

  • Receive-Beam Resource Allocation for Multiple Target Tracking With Distributed MIMO Radars

    Mingchi Xie;Wei Yi;Lingjiang Kong;Thia Kirubarajan

Frequent Co-Authors

Guolong Cui
Guolong Cui 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
Qing Huo Liu
Qing Huo Liu Eastern Institute of Technology, Ningbo
Zhi Sun
Zhi Sun Tsinghua University
Reza Hoseinnezhad
Reza Hoseinnezhad RMIT University
Giorgio Battistelli
Giorgio Battistelli University of Florence
Luigi Chisci
Luigi Chisci University of Florence
Rick S. Blum
Rick S. Blum Lehigh University
Augusto Aubry
Augusto Aubry University of Naples Federico II

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