Standout Papers

Why ResNet Works? Residuals Generalize 2020 2026 2022 2024208
  1. Why ResNet Works? Residuals Generalize (2020)
    Fengxiang He, Tongliang Liu et al. IEEE Transactions on Neural Networks and Learning Systems

Immediate Impact

1 by Nobel laureates 1 from Science/Nature 69 standout
Sub-graph 1 of 22

Citing Papers

Integrating AI with detection methods, IoT, and blockchain to achieve food authenticity and traceability from farm-to-table
2025 Standout
Acoustic wave propagation characteristics and spontaneous combustion warning of coal during oxidative warming of loose coal
2025 Standout
2 intermediate papers

Works of Fengxiang He being referenced

Why ResNet Works? Residuals Generalize
2020 Standout

Author Peers

Author Last Decade Papers Cites
Fengxiang He 266 256 25 76 29 592
Stamatios Georgoulis 353 252 23 51 16 685
Liangli Zhen 283 288 40 60 34 692
Jaume Amores 353 193 12 44 17 624
Kuniaki Uehara 243 272 22 65 62 698
Sujuan Hou 216 195 11 62 32 723
Snehasis Mukherjee 333 215 11 72 29 702
Dhanesh Ramachandram 223 258 9 104 14 710
C. H. Chen 298 173 26 54 11 670
Michał Wieczorek 246 259 10 141 19 717
Kai Han 234 175 32 36 27 533

All Works

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Rankless by CCL
2026