Standout Papers

Parameter-efficient fine-tuning of larg... 2018 2026 2020 2023 2.6k
  1. Parameter-efficient fine-tuning of large-scale pre-trained language models (2023)
    Ning Ding, Yujia Qin et al. Nature Machine Intelligence
  2. Graph Neural Networks: A Review of Methods and Applications (2018)
    Jie Zhou, Ganqu Cui et al. arXiv (Cornell University)
  3. 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 67 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 Shengding Hu being referenced

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

Author Peers

Author Last Decade Papers Cites
Shengding Hu 1667 558 11 436 4 3.5k
Ganqu Cui 1444 503 10 413 3 3.2k
M. Gori 2117 979 7 467 6 4.2k
Zigang Lu 1693 613 55 467 7 7.5k
Zhengyan Zhang 1776 588 10 445 18 3.6k
Gabriele Monfardini 2579 1221 11 532 8 5.0k
Matthew Lai 2832 709 17 241 6 5.7k
Thomas Hubert 2845 684 13 237 5 5.7k
Donald W. Bouldin 1734 715 26 497 8 4.7k
Dominik Grewe 3503 970 5 311 2 7.1k
Sheelagh Lloyd 2069 1980 19 548 6 7.5k

All Works

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2026