Standout Papers

Review on Convolutional Neural Networks (CNN) in vegetation remote sensing 2020 2026 2022 2024965
  1. Review on Convolutional Neural Networks (CNN) in vegetation remote sensing (2021)
    Teja Kattenborn, Jens Leitloff et al. ISPRS Journal of Photogrammetry and Remote Sensing
  2. Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks (2020)
    Felix Schiefer, Teja Kattenborn et al. ISPRS Journal of Photogrammetry and Remote Sensing

Immediate Impact

50 standout
Sub-graph 1 of 24

Citing Papers

Estimation of potato above-ground biomass based on the VGC-AGB model and deep learning
2025 Standout
Explainable spatiotemporal multi-task learning for electric vehicle charging demand prediction
2025 Standout
2 intermediate papers

Works of Felix Schiefer being referenced

Review on Convolutional Neural Networks (CNN) in vegetation remote sensing
2021 Standout

Author Peers

Author Last Decade Papers Cites
Felix Schiefer 685 591 167 316 12 1.4k
Fang Fang 735 463 106 494 8 1.4k
Gabriel Thomas 751 407 115 461 55 1.5k
Christine Tuleau-Malot 490 401 102 436 8 2.2k
P. Molina 517 1229 71 218 20 2.0k
Ilkka Pölönen 780 803 98 186 75 1.6k
Jens Leitloff 404 498 80 212 33 1.6k
Dennis C. Duro 904 393 208 582 11 1.6k
Jonáš Hruška 729 571 54 183 21 1.4k
M. Bock 616 738 173 546 17 1.9k
Beatriz Martínez 877 478 87 740 46 1.6k

All Works

Loading papers...

Rankless by CCL
2026