Standout Papers

Graph Neural Networks: A Review of Methods and Applications 2018 2026 2020 2023 559
  1. Graph Neural Networks: A Review of Methods and Applications (2018)
    Jie Zhou, Ganqu Cui et al. arXiv (Cornell University)

Immediate Impact

2 from Science/Nature 63 standout
Sub-graph 1 of 22

Citing Papers

Bias in medical AI: Implications for clinical decision-making
2024 Standout
A broadband hyperspectral image sensor with high spatio-temporal resolution
2024 StandoutNature
1 intermediate paper

Works of Lifeng Wang being referenced

Graph Neural Networks: A Review of Methods and Applications
2018 Standout

Author Peers

Author Last Decade Papers Cites
Lifeng Wang 90 192 32 310 156 19 917
Ashraf Darwish 28 105 146 255 95 50 1.2k
Hossein Moosaei 8 179 34 416 91 47 1.1k
Fei Gao 100 150 40 141 160 47 819
B.V. Dasarathy 31 141 43 354 29 50 808
Emanuel Guariglia 113 185 56 94 119 18 746
Siamak Mehrkanoon 19 194 22 270 84 62 856
Yuanyuan Liu 48 342 50 240 43 64 1.0k
Gautam Shroff 30 64 41 406 14 37 993
Alain Berlinet 15 116 19 342 52 34 951
Ximing Liang 68 117 45 716 33 39 1.1k

All Works

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2026