World's Best Scientists 2026 revealed!
Bisheng Yang

Bisheng Yang

D-Index & Metrics

Computer Science

D-Index
53
Citations
8775
World Ranking
4914
National Ranking
661

Bisheng 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 Bisheng 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: 255 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.

Bisheng 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 Bisheng 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: 53 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Overview

Bisheng Yang is affiliated with Wuhan University in China and has a diverse research portfolio spanning several interconnected fields. Their work focuses primarily on engineering, environmental science, and earth and planetary sciences, with significant contributions in various specialized subfields such as environmental engineering, geology, computer vision and pattern recognition, aerospace engineering, and computational mechanics.

The research topics covered by Bisheng Yang include:

  • Remote Sensing and LiDAR Applications
  • 3D Surveying and Cultural Heritage
  • Robotics and Sensor-Based Localization
  • 3D Shape Modeling and Analysis
  • Advanced Vision and Imaging
  • Advanced Neural Network Applications
  • Automated Road and Building Extraction

Bisheng Yang has published extensively in various respected venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • International Journal of Applied Earth Observation and Geoinformation
  • The international archives of the photogrammetry, remote sensing and spatial information sciences
  • IEEE Transactions on Geoscience and Remote Sensing

Their research outputs include papers on topics related to point cloud registration, satellite-derived bathymetry, semantic segmentation of MLS point clouds, and deep learning refinement for photovoltaic area segmentation. Notable recent publications are:

  • Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark, 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • Satellite-derived bathymetry using the ICESat-2 lidar and Sentinel-2 imagery datasets, 2020, Remote Sensing of Environment
  • RoReg: Pairwise Point Cloud Registration With Oriented Descriptors and Local Rotations, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • A point-based deep learning network for semantic segmentation of MLS point clouds, 2021, ISPRS Journal of Photogrammetry and Remote Sensing
  • Deep solar PV refiner: A detail-oriented deep learning network for refined segmentation of photovoltaic areas from satellite imagery, 2022, International Journal of Applied Earth Observation and Geoinformation

Bisheng Yang collaborates regularly with several researchers, frequently coauthoring with:

  • Zhen Dong
  • Fuxun Liang
  • Jianping Li
  • Weitong Wu
  • Shangzhe Sun

Best Publications

  • International benchmarking of terrestrial laser scanning approaches for forest inventories

    Xinlian Liang;Juha Hyyppä;Harri Kaartinen;Harri Kaartinen;Matti Lehtomäki

  • Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark

    Zhen Dong;Fuxun Liang;Bisheng Yang;Yusheng Xu

  • Satellite-derived bathymetry using the ICESat-2 lidar and Sentinel-2 imagery datasets

    Yue Ma;Yue Ma;Yue Ma;Nan Xu;Zhen Liu;Bisheng Yang

  • Using mobile laser scanning data for automated extraction of road markings

    Haiyan Guan;Jonathan Li;Jonathan Li;Yongtao Yu;Cheng Wang

  • Semi-automated extraction and delineation of 3D roads of street scene from mobile laser scanning point clouds

    Bisheng Yang;Lina Fang;Jonathan Li

  • A shape-based segmentation method for mobile laser scanning point clouds

    Bisheng Yang;Zhen Dong

  • The design and implementation of SPIRIT: a spatially aware search engine for information retrieval on the Internet

    Ross S. Purves;Paul Clough;Christopher B. Jones;Avi Arampatzis

  • Hierarchical extraction of urban objects from mobile laser scanning data

    Bisheng Yang;Zhen Dong;Gang Zhao;Wenxia Dai

  • Automated Extraction of Road Markings from Mobile Lidar Point Clouds

    Bisheng Yang;Lina Fang;Qingquan Li;Jonathan Li

  • An efficient global energy optimization approach for robust 3D plane segmentation of point clouds

    Zhen Dong;Zhen Dong;Bisheng Yang;Pingbo Hu;Sebastian Scherer

  • Automatic registration of large-scale urban scene point clouds based on semantic feature points

    Bisheng Yang;Zhen Dong;Fuxun Liang;Yuan Liu

  • Automatic registration of UAV-borne sequent images and LiDAR data

    Bisheng Yang;Chi Chen

  • A novel binary shape context for 3D local surface description

    Zhen Dong;Zhen Dong;Bisheng Yang;Yuan Liu;Fuxun Liang

  • Automated registration of dense terrestrial laser-scanning point clouds using curves

    Bisheng Yang;Yufu Zang

  • Hierarchical registration of unordered TLS point clouds based on binary shape context descriptor

    Zhen Dong;Bisheng Yang;Fuxun Liang;Ronggang Huang

  • A new method for 3D individual tree extraction using multispectral airborne LiDAR point clouds

    Wenxia Dai;Bisheng Yang;Zhen Dong;Ahmed Shaker

  • Efficient transmission of vector data over the Internet

    Bisheng Yang;Ross Purves;Robert Weibel

  • Land surface temperature relation with normalized satellite indices for the estimation of spatio-temporal trends in temperature among various land use land cover classes of an arid Potohar region using Landsat data

    Aqil Tariq;Iqra Riaz;Iqra Riaz;Zulfiqar Ahmad;Bisheng Yang

  • RoReg: Pairwise Point Cloud Registration With Oriented Descriptors and Local Rotations

    Unknown

  • Automated extraction of street-scene objects from mobile lidar point clouds

    Bisheng Yang;Zheng Wei;Qingquan Li;Jonathan Li

  • A Multi-parameter Approach to Automated Building Grouping and Generalization

    Haowen Yan;Robert Weibel;Bisheng Yang

  • Two-step adaptive extraction method for ground points and breaklines from lidar point clouds

    Bisheng Yang;Ronggang Huang;Zhen Dong;Yufu Zang

Frequent Co-Authors

Qingquan Li
Qingquan Li Shenzhen University
Jonathan Li
Jonathan Li University of Waterloo
Tobias Maurer
Tobias Maurer University Medical Center Hamburg-Eppendorf
Wenzhong Shi
Wenzhong Shi Hong Kong Polytechnic University
Xinlian Liang
Xinlian Liang Finnish Geospatial Research Institute
Robert Weibel
Robert Weibel University of Zurich
Mikko Vastaranta
Mikko Vastaranta University of Eastern Finland
Wenping Wang
Wenping Wang Texas A&M University
Ross S. Purves
Ross S. Purves University of Zurich
Harri Kaartinen
Harri Kaartinen University of Turku

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