Standout Papers

ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data 2020 2026 2022 20241.0k
  1. ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data (2020)
    Foivos I. Diakogiannis, François Waldner et al. ISPRS Journal of Photogrammetry and Remote Sensing

Immediate Impact

10 from Science/Nature 62 standout
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Citing Papers

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1 intermediate paper

Works of François Waldner being referenced

ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data
2020 Standout

Author Peers

Author Last Decade Papers Cites
François Waldner 1345 820 672 46 2.8k
Paheding Sidike 1623 481 1118 39 3.7k
Aaron E. Maxwell 1325 897 816 69 3.1k
Zhengwei Yang 1414 871 664 97 2.8k
Saeid Homayouni 1489 1184 1266 174 4.0k
Yuhong He 1592 802 765 101 2.9k
Jordi Inglada 1949 1022 902 65 3.8k
Teja Kattenborn 1996 853 1458 55 3.3k
Wesley Nunes Gonçalves 1130 361 933 98 2.8k
Андрій Шелестов 1378 886 609 74 2.7k
Nataliia Kussul 1835 1258 808 99 3.5k

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2026