Weihan Li

Automotive Engineering · Journal of Power Sources · 2020–2022

A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Weihan Li trusts overall

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

  1. François Chollet
  2. Christoph R. Birkl
  3. Hicham Chaoui
  4. Dirk Uwe Sauer
  5. Robert R. Richardson
  6. Yi Li
  7. Lei Ren
  8. Chinemerem Christopher Ibe-Ekeocha
  9. David A. Howey
  10. Konrad Steiner

Who trusts Weihan Li overall

  1. M. Mazhar Rathore
  2. Zhongbao Wei

Papers from Weihan Li's perspective

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

  1. Long Short-Term Memory
  2. Degradation diagnostics for lithium ion cells
  3. On the difficulty of training recurrent neural networks
  4. An online method for lithium-ion battery remaining useful life estimation using importance sampling and neural networks
  5. Remaining Useful Life Prediction for Lithium-Ion Battery: A Deep Learning Approach (IEEE Access)
  6. A General Discussion of Li Ion Battery Safety
  7. Effects of overdischarge on performance and thermal stability of a Li-ion cell
  8. Gaussian Process Regression for In Situ Capacity Estimation of Lithium-Ion Batteries (IEEE Transactions on Industrial Informatics)
  9. A novel Gaussian process regression model for state-of-health estimation of lithium-ion battery using charging curve
  10. State of Charge and State of Health Estimation for Lithium Batteries Using Recurrent Neural Networks (IEEE Transactions on Vehicular Technology)

Their papers