Standout Papers

Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples... 2006 2026 2012 2019 1.8k
  1. Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples (2006)
    Mikhail Belkin, Partha Niyogi et al. Journal of Machine Learning Research

Immediate Impact

4 from Science/Nature 86 standout
Sub-graph 1 of 19

Citing Papers

Machine Learning in Polymer Research
2025 Standout
Progress and Opportunities for Machine Learning in Materials and Processes of Additive Manufacturing
2024 Standout
51 intermediate papers

Works of Vikas Sindhwani being referenced

Optimization Techniques for Semi-Supervised Support Vector Machines
2008
On Manifold Regularization.
2005
and 6 more

Author Peers

Author Last Decade Papers Cites
Vikas Sindhwani 1477 1403 341 29 2.5k
Zhigang Ma 1228 2107 248 51 3.0k
Quanming Yao 1641 1115 282 68 3.0k
Deng Cai 917 1650 277 31 2.5k
Miaomiao Li 1244 1538 172 65 2.2k
Joan Bruna 1040 928 401 34 2.7k
Benyu Zhang 797 1671 265 15 2.2k
Jonathan Masci 795 1122 410 18 2.4k
John S. Denker 1785 1394 110 18 3.4k
James Martens 1373 880 190 22 2.6k
Fanzhang Li 723 912 268 91 1.9k

All Works

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2026