Standout Papers

Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark 2020 2026 2022 2024273
  1. Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark (2020)
    Zhen Dong, Fuxun Liang et al. ISPRS Journal of Photogrammetry and Remote Sensing

Immediate Impact

1 from Science/Nature 57 standout
Sub-graph 1 of 24

Citing Papers

Remote Sensing Object Detection in the Deep Learning Era—A Review
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Status, advancements and prospects of deep learning methods applied in forest studies
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8 intermediate papers

Works of Wenxia Dai being referenced

Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark
2020 Standout
A new method for 3D individual tree extraction using multispectral airborne LiDAR point clouds
2018
and 2 more

Author Peers

Author Last Decade Papers Cites
Wenxia Dai 769 566 166 204 25 956
Lingli Zhu 641 477 160 247 33 935
Wen Xiao 534 417 75 182 47 1.0k
David Belton 670 608 61 177 59 1000
Juho‐Pekka Virtanen 639 477 161 191 51 1.1k
Carlos Çabo 895 497 277 98 30 1.1k
Eero Ahokas 725 407 101 166 23 1.0k
Shaobo Xia 455 237 109 96 34 809
Leena Matikainen 640 294 77 130 28 1.0k
Domen Mongus 787 485 213 40 49 1.2k
Yufu Zang 631 621 33 355 35 882

All Works

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2026