Lifeng Wu

Automotive Engineering · with Guan · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lifeng Wu trusts overall

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

  1. Yinjiao Xing
  2. Wei He
  3. S. Y. S. Ng
  4. Qiang Miao
  5. Xiaosheng Si
  6. Achmad Widodo
  7. Michael G. Pecht
  8. Kwok Leung Tsui
  9. Jay H. Lee
  10. Nicholas Williard

Who trusts Lifeng Wu overall

  1. Kailong Liu
  2. Kang Li

Papers from Lifeng Wu's perspective

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

  1. Prognostics of lithium-ion batteries based on DempsterShafer theory and the Bayesian Monte Carlo me
  2. A review on prognostics and health monitoring of Li-ion battery
  3. An ensemble model for predicting the remaining useful performance of lithium-ion batteries (Microelectronics and reliability)
  4. Health diagnosis and remaining useful life prognostics of lithium-ion batteries using data-driven methods
  5. Remaining useful life prediction of lithium-ion battery with unscented particle filter technique (Microelectronics and reliability)
  6. A Survey on Transfer Learning
  7. Remaining useful life estimation - A review on the statistical data driven approaches (European Journal of Operational Research)
  8. Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks
  9. Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data
  10. Intelligent prognostics for battery health monitoring based on sample entropy (Expert systems with applications)

Their papers