World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
44
Citations
4956
World Ranking
5968
National Ranking
1151

Bo Wang publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Bo Wang sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 133 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Bo Wang D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Bo Wang sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 44 D-Index — 42nd percentile

42% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Bo Wang is affiliated with Dalian University of Technology in China and focuses on research in computer science, particularly in areas related to computer vision, artificial intelligence, and signal processing. Their work spans numerous topics, including digital media forensic detection, adversarial robustness in machine learning, advanced steganography and watermarking techniques, generative adversarial networks and image synthesis, advanced image processing techniques, advanced malware detection techniques, and security and verification in computing.

Bo Wang's research output includes 86 publications categorized under computer science, with 38 publications specifically in computer vision and pattern recognition, 26 in artificial intelligence, 7 in signal processing, 5 in computer networks and communications, and 4 in information systems.

Frequent venues where Bo Wang has published include:

  • SSRN Electronic Journal
  • Journal of Mathematical Psychology
  • Expert Systems with Applications
  • Mathematics
  • Security and Communication Networks

Recent papers illustrate a focus on image and video security topics, some of which are:

  • Frequency Domain Filtered Residual Network for Deepfake Detection, 2023, Mathematics
  • Adversarial Analysis for Source Camera Identification, 2020, IEEE Transactions on Circuits and Systems for Video Technology
  • Face Forgery Detection Based on the Improved Siamese Network, 2022, Security and Communication Networks
  • Are You Confident That You Have Successfully Generated Adversarial Examples?, 2020, IEEE Transactions on Circuits and Systems for Video Technology

Bo Wang has collaborated frequently with other researchers, including Fei Wei, Mengnan Zhao, Wei Wang, Jiayao Hou, and Yanyan Ma. These partnerships have contributed to a body of work that addresses challenges in areas such as adversarial attacks, source camera identification, and forgery detection.

Best Publications

  • Blockchain Trust Model for Malicious Node Detection in Wireless Sensor Networks

    Wei She;Qi Liu;Zhao Tian;Jian-Sen Chen

  • Buckling of quasi-perfect cylindrical shell under axial compression: A combined experimental and numerical investigation

    Bo Wang;Shiyang Zhu;Peng Hao;Xiangju Bi

  • A novel approach of high speed scratching on silicon wafers at nanoscale depths of cut

    Zhenyu Zhang;Dongming Guo;Bo Wang;Renke Kang

  • A novel non-probabilistic reliability-based design optimization algorithm using enhanced chaos control method

    Peng Hao;Yutian Wang;Chen Liu;Bo Wang

  • Dynamic axial crushing of origami crash boxes

    Caihua Zhou;Bo Wang;Jiayao Ma;Zhong You

  • An integrated framework of exact modeling, isogeometric analysis and optimization for variable-stiffness composite panels

    Peng Hao;Xiaojie Yuan;Chen Liu;Bo Wang

  • Numerical-based smeared stiffener method for global buckling analysis of grid-stiffened composite cylindrical shells

    Bo Wang;Kuo Tian;Peng Hao;Yanbing Zheng

  • Numerically and experimentally predicted knockdown factors for stiffened shells under axial compression

    Bo Wang;Kaifan Du;Peng Hao;Caihua Zhou

  • Hybrid optimization of hierarchical stiffened shells based on smeared stiffener method and finite element method

    Peng Hao;Bo Wang;Gang Li;Zeng Meng

  • Worst Multiple Perturbation Load Approach of stiffened shells with and without cutouts for improved knockdown factors

    Peng Hao;Bo Wang;Gang Li;Zeng Meng

  • Design of Compact Single-Layer Textile MIMO Antenna for Wearable Applications

    H. Li;S. Sun;B. Wang;F. Wu

  • Crashworthiness design for trapezoid origami crash boxes

    Caihua Zhou;Yan Zhou;Bo Wang

  • Hybrid Framework for Reliability-Based Design Optimization of Imperfect Stiffened Shells

    Peng Hao;Bo Wang;Gang Li;Zeng Meng

  • Isogeometric buckling analysis of composite variable-stiffness panels

    Peng Hao;Xiaojie Yuan;Hongliang Liu;Bo Wang

  • Surrogate-Based Optimum Design for Stiffened Shells with Adaptive Sampling

    Peng Hao;Bo Wang;Gang Li

  • Determination of realistic worst imperfection for cylindrical shells using surrogate model

    Bo Wang;Peng Hao;Gang Li;Yaochu Fang

  • Identifying technological topics and institution-topic distribution probability for patent competitive intelligence analysis: a case study in LTE technology

    Bo Wang;Shengbo Liu;Kun Ding;Zeyuan Liu

  • Buckling optimization of variable-stiffness composite panels based on flow field function

    Peng Hao;Chen Liu;Xiaojie Yuan;Bo Wang

  • Grid-pattern optimization framework of novel hierarchical stiffened shells allowing for imperfection sensitivity

    Bo Wang;Kuo Tian;Caihua Zhou;Peng Hao

  • Symplectic superposition method for new analytic buckling solutions of rectangular thin plates

    Bo Wang;Peng Li;Rui Li

  • Hybrid analysis and optimization of hierarchical stiffened plates based on asymptotic homogenization method

    Bo Wang;Kuo Tian;Peng Hao;Yuanwu Cai

Frequent Co-Authors

Peng Hao
Peng Hao Dalian University of Technology
Ran He
Ran He Chinese Academy of Sciences
Nicola Pugno
Nicola Pugno University of Trento
Gengdong Cheng
Gengdong Cheng Dalian University of Technology
Chaomei Chen
Chaomei Chen Drexel University
Anthony M. Waas
Anthony M. Waas Arizona State University
Kui Ren
Kui Ren Zhejiang University
Zhan Qin
Zhan Qin Zhejiang University
Dongming Guo
Dongming Guo Dalian University of Technology
Yun Q. Shi
Yun Q. Shi New Jersey Institute of Technology

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