World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
5412
World Ranking
10817
National Ranking
1336

Bo Yang 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 Bo Yang 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: 257 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Bo Yang 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 Bo Yang 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Bo Yang is affiliated with the University of Jinan in China. Their research primarily spans the fields of Engineering and Computer Science, with notable contributions to subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Computational Mechanics, and Control and Systems Engineering.

Their body of work covers a range of topics focused on technological and methodological advancements, including:

  • Advanced Technologies in Various Fields
  • 3D Shape Modeling and Analysis
  • Advanced Vision and Imaging
  • Advanced Neural Network Applications
  • Image Enhancement Techniques
  • Medical Image Segmentation Techniques
  • Photoacoustic and Ultrasonic Imaging

Bo Yang has been involved in multiple publications across various venues. The most frequent publication platforms include:

  • arXiv (Cornell University)
  • Applied Sciences
  • SSRN Electronic Journal
  • Electronics
  • Atmosphere

Their recent papers provide insight into current research interests and contributions. These include:

  • "Knowledge base graph embedding module design for Visual question answering model," published in 2021 in Pattern Recognition
  • "Endoscope image mosaic based on pyramid ORB," 2021, Biomedical Signal Processing and Control
  • "An encoder-decoder fusion battery life prediction method based on Gaussian process regression and improvement," 2022, Journal of Energy Storage
  • "Iterative reconstruction of low-dose CT based on differential sparse," 2022, Biomedical Signal Processing and Control
  • "Adaptive control of time delay teleoperation system with uncertain dynamics," 2022, Frontiers in Neurorobotics

Frequent collaborators in Bo Yang's research include Wenfeng Zheng, Lirong Yin, Shan Liu, Mingzhe Liu, and Jiawei Tian, reflecting sustained cooperation in scholarly projects.

Best Publications

  • Time-series prediction using a local linear wavelet neural network

    Yuehui Chen;Bo Yang;Jiwen Dong

  • A Task Scheduling Algorithm Based on PSO for Grid Computing

    Lei Zhang;Yuehui Chen;Runyuan Sun;Bo Yang

  • Machine learning based mobile malware detection using highly imbalanced network traffic

    Zhenxiang Chen;Qiben Yan;Hongbo Han;Shanshan Wang

  • Automatic Design of Hierarchical Takagi–Sugeno Type Fuzzy Systems Using Evolutionary Algorithms

    Yuehui Chen;Bo Yang;A. Abraham;Lizhi Peng

  • Hybrid Flexible Neural-Tree-Based Intrusion Detection Systems

    Yuehui Chen;Ajith Abraham;Bo Yang

  • Detecting Android Malware Leveraging Text Semantics of Network Flows

    Shanshan Wang;Qiben Yan;Zhenxiang Chen;Bo Yang

  • Flexible neural trees ensemble for stock index modeling

    Yuehui Chen;Bo Yang;Ajith Abraham

  • Data gravitation based classification

    Lizhi Peng;Bo Yang;Yuehui Chen;Ajith Abraham

  • Particle swarm optimization using dynamic tournament topology

    Lin Wang;Bo Yang;Jeff Orchard

  • A mobile malware detection method using behavior features in network traffic

    Shanshan Wang;Zhenxiang Chen;Qiben Yan;Bo Yang

  • Review of pixel-level image fusion

    Bo Yang;Zhong-liang Jing;Hai-tao Zhao

  • Nonlinear system modelling via optimal design of neural trees.

    Yuehui Chen;Bo Yang;Jiwen Dong

  • Improving particle swarm optimization using multi-layer searching strategy

    Lin Wang;Bo Yang;Yuehui Chen

  • A new approach for imbalanced data classification based on data gravitation

    Lizhi Peng;Hongli Zhang;Bo Yang;Yuehui Chen

  • Traffic classification using probabilistic neural networks

    Runyuan Sun;Bo Yang;Lizhi Peng;Zhenxiang Chen

  • Features extraction from hand images based on new detection operators

    Zhiquan Feng;Bo Yang;Yuehui Chen;Yanwei Zheng

  • Improving Neural-Network Classifiers Using Nearest Neighbor Partitioning

    Lin Wang;Bo Yang;Yuehui Chen;Xiaoqian Zhang

  • Evolving Flexible Neural Networks Using Ant Programming and PSO Algorithm

    Yuehui Chen;Bo Yang;Jiwen Dong

  • Building Image Feature Kinetics for Cement Hydration Using Gene Expression Programming With Similarity Weight Tournament Selection

    Lin Wang;Bo Yang;Shoude Wang;Zhifeng Liang

  • Deep and broad URL feature mining for android malware detection

    Shanshan Wang;Zhenxiang Chen;Qiben Yan;Ke Ji

  • Vector coevolving particle swarm optimization algorithm

    Qingke Zhang;Weiguo Liu;Xiangxu Meng;Bo Yang

Frequent Co-Authors

Yuehui Chen
Yuehui Chen University of Jinan
Ajith Abraham
Ajith Abraham Sai University
Witold Pedrycz
Witold Pedrycz University of Alberta
Lirong Yin
Lirong Yin Louisiana State University
Sung-Kwun Oh
Sung-Kwun Oh University of Suwon
Caiming Zhang
Caiming Zhang Shandong University
Mauro Conti
Mauro Conti University of Padua
Wai Keung Wong
Wai Keung Wong Hong Kong Polytechnic University
Jin Li
Jin Li Chinese Academy of Sciences
Crina Grosan
Crina Grosan King's College London

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