Yang Gao

Electrical and Electronic Engineering · with Zhang · 2017–2018

A researcher in the Science corpus: 5 papers; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Yang Gao trusts overall

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

  1. Matthieu Dubarry
  2. Bor Yann Liaw
  3. C. Truchot
  4. Minggao Ouyang
  5. John B. Goodenough

Who trusts Yang Gao overall

  1. Lena Spitthoff
  2. Paul R. Shearing
  3. Xiaosong Hu
  4. Odne S. Burheim
  5. Yunhong Che

Papers from Yang Gao's perspective

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

  1. Battery Health Prognosis for Electric Vehicles Using Sample Entropy and Sparse Bayesian Predictive Modeling (IEEE transactions on industrial electronics (1982. Print))
  2. Effects of overdischarge on performance and thermal stability of a Li-ion cell
  3. State-of-health monitoring of lithium-ion battery modules and packs via incremental capacity peak tracking
  4. A review of fractional-order techniques applied to lithium-ion batteries, lead-acid batteries, and supercapacitors (Journal of Power Sources)
  5. State of Charge and State of Health Estimation for Lithium Batteries Using Recurrent Neural Networks (IEEE Transactions on Vehicular Technology)
  6. A General Discussion of Li Ion Battery Safety
  7. Co-Estimation of State of Charge and State of Health for Lithium-Ion Batteries Based on Fractional-Order Calculus (IEEE Transactions on Vehicular Technology)
  8. Lithium-Ion Battery Health Prognosis Based on a Real Battery Management System Used in Electric Vehicles (IEEE Transactions on Vehicular Technology)
  9. Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries (IEEE Transactions on Vehicular Technology)
  10. Investigating the error sources of the online state of charge estimation methods for lithium-ion batteries in electric vehicles

Their papers