Yong Li

Mechanical Engineering · with Wang · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yong Li trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. C. Burges (in Statistical Learning Theory)
  2. E. Galindo-Nava (in Mechanical Engineering)
  3. P. Rivera-Diaz-Del-Castillo (in Mechanical Engineering)

Papers from Yong Li's perspective

Ordered by how strongly the researchers Yong Li trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Effect of block size on the strength of lath martensite in low carbon steels
  2. A Tutorial on Support Vector Machines for Pattern Recognition
  3. Understanding the factors controlling the hardness in martensitic steels
  4. Score normalization in multimodal biometric systems
  5. A model for the microstructure behaviour and strength evolution in lath martensite
  6. The perceptron: a probabilistic model for information storage and organization in the brain.
  7. Materials discovery and design using machine learning
  8. SISSO: A compressed-sensing method for identifying the best low-dimensional descriptor in an immensity of offered candidates (PHYSICAL REVIEW MATERIALS)
  9. Modelling the correlation between processing parameters and properties of maraging steels using artificial neural network
  10. Prediction of the yield strength of a secondary-hardening steel

Their papers