World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
55
Citations
9146
World Ranking
2224
National Ranking
377

Computer Science

D-Index
55
Citations
9642
World Ranking
4389
National Ranking
589

Lixiang Li 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 Lixiang Li 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: 238 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Lixiang Li 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 Lixiang Li 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: 55 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

Lixiang Li is a researcher affiliated with the Beijing University of Posts and Telecommunications in China. Their academic work is primarily situated within the field of Computer Science, with a focus on several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Electrical and Electronic Engineering, and Signal Processing.

Their recent publications cover a range of topics and venues. Notable papers include:

  • Propagation analysis and prediction of the COVID-19, 2020, arXiv (Cornell University)
  • Overview of Compressed Sensing: Sensing Model, Reconstruction Algorithm, and Its Applications, 2020, Applied Sciences
  • Propagation analysis and prediction of the COVID-19, 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • A novel time series prediction method based on pooling compressed sensing echo state network and its application in stock market, 2023, Neural Networks
  • Low Energy Consumption Compressed Spectrum Sensing Based on Channel Energy Reconstruction in Cognitive Radio Network, 2020, Sensors

The main areas of research emphasized include Cryptography and Data Security, Sparse and Compressive Sensing Techniques, Chaos-based Image/Signal Encryption, Privacy-Preserving Technologies in Data, Network Security and Intrusion Detection, Consumer Market Behavior and Pricing, and Microwave Imaging and Scattering Analysis.

Lixiang Li frequently collaborates with several coauthors, indicating active engagement in joint research projects. These collaborators include Haipeng Peng, Fenghua Tong, Yixian Yang, Jiaxuan Zhang, and Yixiao Li.

The researcher's work has appeared repeatedly in several publication venues, with multiple contributions to:

  • SSRN Electronic Journal
  • Sensors
  • Journal of Systems Architecture
  • Linköping electronic conference proceedings
  • Signal Processing

The diversity of publication venues and broad topical focus point to multidisciplinary expertise spanning theoretical models, algorithm development, and applied studies within engineering and computer science domains.

Best Publications

  • CHAOTIC PARTICLE SWARM OPTIMIZATION FOR ECONOMIC DISPATCH CONSIDERING THE GENERATOR CONSTRAINTS

    Jiejin Cai;Xiaoqian Ma;Lixiang Li;Peng Haipeng

  • A Review of Face Recognition Technology

    Lixiang Li;Xiaohui Mu;Siying Li;Haipeng Peng

  • Optimum design of fractional order PIλDµ controller for AVR system using chaotic ant swarm

    Yinggan Tang;Mingyong Cui;Changchun Hua;Lixiang Li

  • Propagation analysis and prediction of the COVID-19

    Lixiang Li;Zihang Yang;Zhongkai Dang;Cui Meng

  • A multi-objective chaotic particle swarm optimization for environmental/economic dispatch

    Jiejin Cai;Xiaoqian Ma;Qiong Li;Lixiang Li

  • A new fixed-time stability theorem and its application to the fixed-time synchronization of neural networks.

    Chuan Chen;Lixiang Li;Haipeng Peng;Yixian Yang

  • Fixed-time synchronization of inertial memristor-based neural networks with discrete delay

    Chuan Chen;Lixiang Li;Haipeng Peng;Yixian Yang

  • Parameters identification of chaotic systems via chaotic ant swarm

    Lixiang Li;Yixian Yang;Haipeng Peng;Xiangdong Wang

  • A hybrid CPSO–SQP method for economic dispatch considering the valve-point effects

    Jiejin Cai;Qiong Li;Lixiang Li;Haipeng Peng

  • Multiple routes transmitted epidemics on multiplex networks

    Dawei Zhao;Lixiang Li;Haipeng Peng;Qun Luo

  • Chaotic ant swarm optimization to economic dispatch

    Jiejin Cai;Xiaoqian Ma;Lixiang Li;Yixian Yang

  • Particle swarm optimizer with crossover operation

    Yonggang Chen;Yonggang Chen;Lixiang Li;Jinghua Xiao;Yixian Yang

  • An Enhanced Biometric-Based Authentication Scheme for Telecare Medicine Information Systems Using Elliptic Curve Cryptosystem

    Yanrong Lu;Lixiang Li;Haipeng Peng;Yixian Yang

  • A multi-objective chaotic ant swarm optimization for environmental/economic dispatch

    Jiejin Cai;Xiaoqian Ma;Qiong Li;Lixiang Li

  • Quantum-secret-sharing scheme based on local distinguishability of orthogonal multiqudit entangled states

    Jingtao Wang;Lixiang Li;Haipeng Peng;Yixian Yang

  • Finite-time stability and synchronization of memristor-based fractional-order fuzzy cellular neural networks

    Mingwen Zheng;Mingwen Zheng;Lixiang Li;Haipeng Peng;Jinghua Xiao

  • Secure and Energy-Efficient Data Transmission System Based on Chaotic Compressive Sensing in Body-to-Body Networks

    Haipeng Peng;Ye Tian;Jurgen Kurths;Lixiang Li

  • A Secure and Effective Anonymous Authentication Scheme for Roaming Service in Global Mobility Networks

    Dawei Zhao;Haipeng Peng;Lixiang Li;Yixian Yang

  • Complex networks-based energy-efficient evolution model for wireless sensor networks

    Hailin Zhu;Hong Luo;Haipeng Peng;Lixiang Li

  • Fixed-time synchronization of memristor-based BAM neural networks with time-varying discrete delay.

    Chuan Chen;Lixiang Li;Haipeng Peng;Yixian Yang

Frequent Co-Authors

Yixian Yang
Yixian Yang Beijing University of Posts and Telecommunications
Haipeng Peng
Haipeng Peng Beijing University of Posts and Telecommunications
Jinghua Xiao
Jinghua Xiao Beijing University of Posts and Telecommunications
Jürgen Kurths
Jürgen Kurths Potsdam Institute for Climate Impact Research
Xiong Luo
Xiong Luo University of Science and Technology Beijing
Chang-Hong Liang
Chang-Hong Liang Xidian University
H. Eugene Stanley
H. Eugene Stanley Boston University
Wenbing Zhao
Wenbing Zhao Cleveland State University
Xiaoqian Ma
Xiaoqian Ma South China University of Technology
Qiao-Yan Wen
Qiao-Yan Wen Beijing University of Posts and Telecommunications

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