Jinpeng Tian
Automotive Engineering · 2017–2021
A researcher in the Science corpus: 5 papers; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Automotive Engineering — 121 citations into it; #1,671 of 3,081 by trust here, #1,129 by citations
- Electrical and Electronic Engineering — 114 citations into it; #9,820 of 16,539 by trust here, #6,381 by citations
Whom Jinpeng Tian trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Matthieu Dubarry
- Caihao Weng
- Yuejiu Zheng
- Xiaosong Hu
- Yi Li
- Billy Wu
- Minggao Ouyang
- Xuebing Han
- Rui Xiong
- Jiuchun Jiang
Who trusts Jinpeng Tian overall
Papers from Jinpeng Tian's perspective
Ordered by how strongly the researchers Jinpeng Tian trusts endorse each paper. Same corpus, a different order for every researcher.
- Battery Health Prognosis for Electric Vehicles Using Sample Entropy and Sparse Bayesian Predictive Modeling (IEEE transactions on industrial electronics (1982. Print))
- Differential thermal voltammetry for tracking of degradation in lithium-ion batteries
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Lithium-ion battery fast charging: A review (eTransportation)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- A fast estimation algorithm for lithium-ion battery state of health (Journal of Power Sources)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Their papers
- A systematic model-based degradation behavior recognition and health monitoring method for lithium-ion batteries (2017) — 233 citations
- Towards a smarter battery management system: A critical review on battery state of health monitoring methods (2018) — 868 citations
- State-of-Health Estimation Based on Differential Temperature for Lithium Ion Batteries (2020) — 250 citations
- Electrode ageing estimation and open circuit voltage reconstruction for lithium ion batteries (2021) — 189 citations
- State-of-charge estimation of LiFePO4 batteries in electric vehicles: A deep-learning enabled approach (2021) — 296 citations