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Computer Science
China
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
82
Citations
22672
World Ranking
470
National Ranking
75

Computer Science

D-Index
92
Citations
30452
World Ranking
547
National Ranking
75

Xingyuan Wang 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 Xingyuan Wang 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: 371 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Xingyuan Wang 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 Xingyuan Wang 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: 82 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award

Overview

Xingyuan Wang is affiliated with Dalian University of Technology in China and has an extensive research record in computer science, focusing primarily on chaos-based image and signal encryption and related fields.

The scientist has published numerous papers, with key recent works including:

  • Image encryption algorithm based on the matrix semi-tensor product with a compound secret key produced by a Boolean network (2020, Information Sciences)
  • A novel one-dimensional sine powered chaotic map and its application in a new image encryption scheme (2020, Information Sciences)
  • A novel triple-image encryption and hiding algorithm based on chaos, compressive sensing and 3D DCT (2021, Information Sciences)
  • A new color image encryption scheme based on 2DNLCML system and genetic operations (2020, Optics and Lasers in Engineering)
  • A 3D model encryption scheme based on a cascaded chaotic system (2022, Signal Processing)

The scientist frequently collaborates with other researchers. Notable co-authors include:

  • Chunpeng Wang (23 joint publications)
  • Bin Ma (14 joint publications)
  • Shuang Zhou (14 joint publications)
  • Yingqian Zhang (13 joint publications)
  • Zhiqiu Xia (13 joint publications)

Common venues for publication cover a variety of journals and conference proceedings, reflecting interdisciplinary research interests. These venues include:

  • Chaos Solitons & Fractals (11 publications)
  • IEEE Access (11 publications)
  • Multimedia Tools and Applications (11 publications)
  • Information Sciences (10 publications)
  • Nonlinear Dynamics (7 publications)

Xingyuan Wang's primary field of study is computer science, with a concentration in subfields such as:

  • Computer Vision and Pattern Recognition (236 publications)
  • Statistical and Nonlinear Physics (40 publications)
  • Artificial Intelligence (35 publications)
  • Computational Theory and Mathematics (31 publications)
  • Mathematical Physics (25 publications)

The scientist's research covers specific topics centered on encryption and mathematical physics, including:

  • Chaos-based Image/Signal Encryption (228 publications)
  • Advanced Steganography and Watermarking Techniques (180 publications)
  • Cellular Automata and Applications (62 publications)
  • Mathematical Dynamics and Fractals (46 publications)
  • Chaos control and synchronization (44 publications)
  • Digital Media Forensic Detection (38 publications)
  • Cryptographic Implementations and Security (36 publications)

Best Publications

  • A novel colour image encryption algorithm based on chaos

    Xingyuan Wang;Lin Teng;Xue Qin

  • Image encryption using DNA complementary rule and chaotic maps

    Hongjun Liu;Xingyuan Wang;Abdurahman kadir

  • Color image encryption using spatial bit-level permutation and high-dimension chaotic system

    Hongjun Liu;Xingyuan Wang

  • A symmetric image encryption algorithm based on mixed linear–nonlinear coupled map lattice

    Ying-Qian Zhang;Xing-Yuan Wang

  • Color image encryption based on one-time keys and robust chaotic maps

    Hongjun Liu;Xingyuan Wang

  • A novel chaotic image encryption scheme using DNA sequence operations

    Xing-Yuan Wang;Ying-Qian Zhang;Xue-Mei Bao

  • A chaotic image encryption algorithm based on perceptron model

    Xing-Yuan Wang;Lei Yang;Rong Liu;Abdurahman Kadir

  • Fast image encryption algorithm based on parallel computing system

    Xingyuan Wang;Xingyuan Wang;Le Feng;Hongyu Zhao

  • A novel chaotic block image encryption algorithm based on dynamic random growth technique

    Xingyuan Wang;Lintao Liu;Yingqian Zhang

  • A new image encryption algorithm based on non-adjacent coupled map lattices

    Ying-Qian Zhang;Xing-Yuan Wang

  • Fractal sorting matrix and its application on chaotic image encryption

    Yongjin Xian;Xingyuan Wang

  • Image encryption algorithm based on the matrix semi-tensor product with a compound secret key produced by a Boolean network

    Unknown

  • Synchronization of the fractional order hyperchaos Lorenz systems with activation feedback control

    Xing-Yuan Wang;Jun-Mei Song

  • A hyperchaos generated from Lorenz system

    Xingyuan Wang;Mingjun Wang

  • Color image DNA encryption using NCA map-based CML and one-time keys

    Xiangjun Wu;Xiangjun Wu;Xiangjun Wu;Kunshu Wang;Xingyuan Wang;Haibin Kan

  • A novel one-dimensional sine powered chaotic map and its application in a new image encryption scheme

    Ali Mansouri;Xingyuan Wang;Xingyuan Wang

  • Projective synchronization of fractional order chaotic system based on linear separation

    Xingyuan Wang;Yijie He

  • A novel image encryption algorithm using chaos and reversible cellular automata

    Xingyuan Wang;Dapeng Luan

  • Ternary radial harmonic Fourier moments based robust stereo image zero-watermarking algorithm

    Chunpeng Wang;Chunpeng Wang;Xingyuan Wang;Xingyuan Wang;Zhiqiu Xia;Chuan Zhang

  • Dynamic analysis of the fractional-order Liu system and its synchronization.

    Xing-yuan Wang;Ming-jun Wang

  • A color image encryption algorithm based on Hopfield chaotic neural network

    Xing-Yuan Wang;Xing-Yuan Wang;Zhi-Ming Li

  • Cryptanalysis on a novel image encryption method based on total shuffling scheme

    Xingyuan Wang;Guoxiang He

Frequent Co-Authors

Xiangjun Wu
Xiangjun Wu Henan University
Herbert Ho-Ching Iu
Herbert Ho-Ching Iu University of Western Australia
Jürgen Kurths
Jürgen Kurths Potsdam Institute for Climate Impact Research
Ge Guo
Ge Guo Northeastern University
Yiguang Hong
Yiguang Hong Chinese Academy of Sciences
Xiaofeng Liao
Xiaofeng Liao Chongqing University
Yuanjie Zheng
Yuanjie Zheng Shandong Normal University
Risheng Liu
Risheng Liu Dalian University of Technology

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