Dong Wang
Control and Systems Engineering · IEEE Access · 2013–2019
A researcher in the Science corpus: 9 papers; trusts 19 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 41 citations into it; #2,342 of 8,257 by trust here, #1,631 by citations
- Mechanical Engineering — 20 citations into it; #2,787 of 8,300 by trust here, #6,822 by citations
- Safety, Risk, Reliability and Quality — 18 citations into it; #726 of 1,220 by trust here, #280 by citations
- Civil and Structural Engineering — 16 citations into it; #5,222 of 6,160 by trust here, #5,794 by citations
- Artificial Intelligence — 7 citations into it
- Mechanics of Materials — 7 citations into it
- Signal Processing — 7 citations into it
- Statistics and Probability — 7 citations into it
Whom Dong Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jérôme Antoni
- Jianbo Yu
- Dong Wang
- Xiaosheng Si
- Kamal Medjaher
- Qiang Miao
- Hai Qiu
- Hasan Ocak
- I. S. Bozchalooi
- Yu Wang
Who trusts Dong Wang overall
- Bingchang Hou
- Dong Wang
- Xiaosong Hu
- Robert R. Richardson
- Yongzhi Zhang
- Tongtong Yan
- Yi Li
- Zhike Peng
- Michael A. Osborne
- Rui Xiong
Papers from Dong Wang's perspective
Ordered by how strongly the researchers Dong Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Deep Learning
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Learning long-term dependencies with gradient descent is difficult
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
Their papers
- A study of the relationship between coulombic efficiency and capacity degradation of commercial lithium-ion batteries (2018) — 294 citations
- Some further thoughts about spectral kurtosis, spectral L2/L1 norm, spectral smoothness index and spectral Gini index for characterizing repetitive transients (2018) — 231 citations
- Combined CNN-LSTM Network for State-of-Charge Estimation of Lithium-Ion Batteries (2019) — 299 citations
- A simple and fast guideline for generating enhanced/squared envelope spectra from spectral coherence for bearing fault diagnosis (2019) — 159 citations
- Spectral L2 / L1 norm: A new perspective for spectral kurtosis for characterizing non-stationary signals (2018) — 150 citations
- Brownian motion with adaptive drift for remaining useful life prediction: Revisited (2018) — 100 citations
- Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators (2018) — 416 citations
- An extension of the infograms to novel Bayesian inference for bearing fault feature identification (2016) — 52 citations
- Prognostics of lithium-ion batteries based on relevance vectors and a conditional three-parameter capacity degradation model (2013) — 334 citations