Standout Papers

Graph Neural Networks: A Review of Methods and Applications 2018 2026 2020 2023 2.6k
  1. Graph Neural Networks: A Review of Methods and Applications (2018)
    Jie Zhou, Ganqu Cui et al. arXiv (Cornell University)
  2. Graph neural networks: A review of methods and applications (2020)
    Jie Zhou, Ganqu Cui et al. SHILAP Revista de lepidopterología

Immediate Impact

4 from Science/Nature 66 standout
Sub-graph 1 of 21

Citing Papers

Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review
2024 Standout
Deep learning in spectral analysis: Modeling and imaging
2024 Standout
1 intermediate paper

Works of Ganqu Cui being referenced

Graph neural networks: A review of methods and applications
2020 Standout

Author Peers

Author Last Decade Papers Cites
Ganqu Cui 503 1444 373 413 3 3.2k
Shengding Hu 558 1667 360 436 4 3.5k
M. Gori 979 2117 467 467 6 4.2k
Zigang Lu 613 1693 165 467 7 7.5k
Zhengyan Zhang 588 1776 421 445 18 3.6k
Gabriele Monfardini 1221 2579 571 532 8 5.0k
Thomas Hubert 684 2845 222 237 5 5.7k
Donald W. Bouldin 715 1734 281 497 8 4.7k
Matthew Lai 709 2832 234 241 6 5.7k
Lucas Baker 507 1937 155 160 8 4.1k
Delbert Dueck 1041 1303 359 743 4 3.8k

All Works

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Rankless by CCL
2026