Yandan Tan

Automotive Engineering · 2020

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Automotive Engineering — 14 citations into it
• Electrical and Electronic Engineering — 12 citations into it
• Safety, Risk, Reliability and Quality — 5 citations into it

Whom Yandan Tan trusts overall

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

1. Rui Xiong
2. Xiaosong Hu
3. Ho-Ta Lin
4. Jingwen Wei
5. Yongzhi Zhang
6. Ephrem Chemali
7. Zonghai Chen
8. Yujie Wang
9. Tsorng-Juu Peter Liang
10. Guangzhong Dong

Papers from Yandan Tan's perspective

Ordered by how strongly the researchers Yandan Tan 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. A comparative study of equivalent circuit models for Li-ion batteries
3. An ensemble model for predicting the remaining useful performance of lithium-ion batteries (Microelectronics and reliability)
4. A Survey on Transfer Learning
5. A Technique for Estimating the State of Health of Lithium Batteries Through a Dual-Sliding-Mode Observer (IEEE transactions on power electronics)
6. Long Short-Term Memory
7. Estimation of Battery State of Health Using Probabilistic Neural Network (IEEE Transactions on Industrial Informatics)
8. A novel state of health estimation method of Li-ion battery using group method of data handling
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Transfer Learning With Long Short-Term Memory Network for State-of-Health Prediction of Lithium-Ion Batteries (2020) — 304 citations