Standout Papers

Individual Tree Detection from Unmanned Aerial Vehicle (UAV) Derived Canopy Height Model in an Open Ca... 2017 2026 2020 2023 284
  1. Individual Tree Detection from Unmanned Aerial Vehicle (UAV) Derived Canopy Height Model in an Open Canopy Mixed Conifer Forest (2017)
    Midhun Mohan, Carlos Alberto Silva et al. Forests

Immediate Impact

1 from Science/Nature 50 standout
Sub-graph 1 of 24

Citing Papers

Predicting stomatal conductance of chili peppers using TPE-optimized LightGBM and SHAP feature analysis based on UAVs’ hyperspectral, thermal infrared imagery, and meteorological data
2025 Standout
Remote Sensing Object Detection in the Deep Learning Era—A Review
2024 Standout
2 intermediate papers

Works of Mahendra Dia being referenced

Individual Tree Detection from Unmanned Aerial Vehicle (UAV) Derived Canopy Height Model in an Open Canopy Mixed Conifer Forest
2017 Standout

Author Peers

Author Last Decade Papers Cites
Mahendra Dia 253 80 115 267 167 18 663
Michael M. Borman 330 26 72 276 649 23 843
Taisuke Yasuda 147 55 38 117 350 25 666
Fabrice Vinatier 219 56 12 64 169 37 586
Jonathan P. Resop 344 13 75 184 284 23 746
Kenneth Clarke 110 19 72 156 424 32 806
Émile Faye 249 51 16 82 218 30 669
Yuri Shendryk 156 13 14 414 419 19 722
Mauro Maesano 107 6 61 142 169 43 665
Bernhard Streit 595 23 390 74 131 21 811
Hrvoje Marjanović 135 4 35 139 256 37 587

All Works

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2026