World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
3628
World Ranking
13727
National Ranking
1668

Shuhui Bu 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 Shuhui Bu 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: 111 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Shuhui Bu 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 Shuhui Bu 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Best Publications

  • Rotation-Insensitive and Context-Augmented Object Detection in Remote Sensing Images

    Ke Li;Gong Cheng;Shuhui Bu;Xiong You

  • Effective and Efficient Midlevel Visual Elements-Oriented Land-Use Classification Using VHR Remote Sensing Images

    Gong Cheng;Junwei Han;Lei Guo;Zhenbao Liu

  • Efficient, simultaneous detection of multi-class geospatial targets based on visual saliency modeling and discriminative learning of sparse coding

    Junwei Han;Peicheng Zhou;Dingwen Zhang;Gong Cheng

  • Shape Retrieval of Non-rigid 3D Human Models

    D. Pickup;X. Sun;P. L. Rosin;R. R. Martin

  • Learning High-Level Feature by Deep Belief Networks for 3-D Model Retrieval and Recognition

    Shuhui Bu;Zhenbao Liu;Junwei Han;Jun Wu

  • Particle Learning Framework for Estimating the Remaining Useful Life of Lithium-Ion Batteries

    Zhenbao Liu;Gaoyuan Sun;Shuhui Bu;Junwei Han

  • Capturing High-Discriminative Fault Features for Electronics-Rich Analog System via Deep Learning

    Zhenbao Liu;Zhen Jia;Chi-Man Vong;Shuhui Bu

  • Weakly Supervised Learning for Target Detection in Remote Sensing Images

    Dingwen Zhang;Junwei Han;Gong Cheng;Zhenbao Liu

  • SHREC'14 Track: Shape retrieval of non-rigid 3D human models

    David Pickup;Ralph Robert Martin;Paul L. Rosin;Xianfang Sun

  • A coarse-to-fine model for airport detection from remote sensing images using target-oriented visual saliency and CRF

    Xiwen Yao;Junwei Han;Lei Guo;Shuhui Bu

  • Weakly supervised target detection in remote sensing images based on transferred deep features and negative bootstrapping

    Peicheng Zhou;Gong Cheng;Zhenbao Liu;Shuhui Bu

  • A Survey on Partial Retrieval of 3D Shapes

    Zhen-Bao Liu;Shu-Hui Bu;Kun Zhou;Shu-Ming Gao

  • Model-Based Reconstruction Integrated With Fluence Compensation for Photoacoustic Tomography

    Shuhui Bu;Zhenbao Liu;T. Shiina;K. Kondo

  • Signal Model-Based Fault Coding for Diagnostics and Prognostics of Analog Electronic Circuits

    Zhenbao Liu;Taimin Liu;Junwei Han;Shuhui Bu

  • Map2DFusion: Real-time incremental UAV image mosaicing based on monocular SLAM

    Shuhui Bu;Yong Zhao;Gang Wan;Zhenbao Liu

  • Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network With Coupled Softmax

    Zhizhong Han;Zhenbao Liu;Chi-Man Vong;Yu-Shen Liu

  • Multi-modal feature fusion for geographic image annotation

    Ke Li;Changqing Zou;Changqing Zou;Shuhui Bu;Yun Liang

  • Unsupervised 3D Local Feature Learning by Circle Convolutional Restricted Boltzmann Machine

    Zhizhong Han;Zhenbao Liu;Junwei Han;Chi-Man Vong

  • Mesh Convolutional Restricted Boltzmann Machines for Unsupervised Learning of Features With Structure Preservation on 3-D Meshes

    Zhizhong Han;Zhenbao Liu;Junwei Han;Chi-Man Vong

  • Vehicle Detection in Aerial Images Using Rotation-Invariant Cascaded Forest

    Bodi Ma;Zhenbao Liu;Feihong Jiang;Yuehao Yan

Frequent Co-Authors

Junwei Han
Junwei Han Northwestern Polytechnical University
Chi-Man Vong
Chi-Man Vong University of Macau
Zhizhong Han
Zhizhong Han Wayne State University
Gong Cheng
Gong Cheng Northwestern Polytechnical University
Ralph R. Martin
Ralph R. Martin Cardiff University
Michael M. Bronstein
Michael M. Bronstein University of Oxford
Alexander M. Bronstein
Alexander M. Bronstein Technion – Israel Institute of Technology
Umberto Castellani
Umberto Castellani University of Verona
Lei Guo
Lei Guo Beijing University of Posts and Telecommunications
Qing Li
Qing Li University of Sydney

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