Standout Papers

From local explanations to global understanding with explainable AI for trees... 2018 2026 2020 2023 4.2k
  1. From local explanations to global understanding with explainable AI for trees (2020)
    Scott Lundberg, Gabriel Erion et al. Nature Machine Intelligence
  2. Explainable machine-learning predictions for the prevention of hypoxaemia during surgery (2018)
    Scott Lundberg, Bala G. Nair et al. Nature Biomedical Engineering
  3. Algorithms to estimate Shapley value feature attributions (2023)
    Hugh Chen, Ian Covert et al. Nature Machine Intelligence

Immediate Impact

1 by Nobel laureates 19 from Science/Nature 62 standout
Sub-graph 1 of 24

Citing Papers

Machine learning-enhanced flavoromics: Identifying key aroma compounds and predicting sensory quality in sauce-flavor baijiu
2025 Standout
A natural variant of COOL1 gene enhances cold tolerance for high-latitude adaptation in maize
2025 Standout
1 intermediate paper

Works of Scott Lundberg being referenced

Algorithms to estimate Shapley value feature attributions
2023 Standout
From local explanations to global understanding with explainable AI for trees
2020 Standout

Author Peers

Author Last Decade Papers Cites
Scott Lundberg 1375 651 252 467 18 5.9k
Alex J. DeGrave 1097 535 120 377 9 4.5k
Bala G. Nair 1242 541 783 440 61 6.3k
Hugh Chen 1065 471 128 400 7 4.6k
Su‐In Lee 1697 1649 251 474 57 7.5k
Davide Chicco 2048 1195 181 499 63 8.1k
Guolin Ke 1863 559 68 570 18 6.6k
Gabriel Erion 969 423 119 377 4 4.2k
Qi Meng 1442 498 67 562 15 5.6k
Taifeng Wang 1473 570 68 553 11 5.8k
Giuseppe Jurman 1854 1628 181 512 89 8.6k

All Works

Loading papers...

Rankless by CCL
2026