Z. Ye

Safety, Risk, Reliability and Quality · Technometrics · 2013–2017

A researcher in the Science corpus: 6 papers; trusts 29 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Safety, Risk, Reliability and Quality — 34 citations into it; #538 of 1,220 by trust here, #277 by citations
• Statistics and Probability — 27 citations into it; #8,670 of 12,932 by trust here, #4,253 by citations
• Automotive Engineering — 14 citations into it
• Software — 10 citations into it; #1,059 of 1,227 by trust here, #870 by citations
• Control and Systems Engineering — 9 citations into it
• Mechanics of Materials — 9 citations into it
• Electrical and Electronic Engineering — 5 citations into it

Whom Z. Ye trusts overall

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

1. Xiao Wang
2. Yinjiao Xing
3. Bhaskar Saha
4. Jeffrey P. Kharoufeh
5. Shriram Santhanagopalan
6. Dihua Xu
7. Michael G. Pecht
8. Dong Wang
9. Kwok Leung Tsui
10. Qiang Miao

Who trusts Z. Ye overall

1. Qingqing Zhai
2. Min Xie
3. Yaguo Lei
4. Shengjing Tang
5. Dong Wang
6. Olga Fink
7. Suzan Alaswad
8. Changhua Hu
9. Cheng-Geng Huang
10. Chuanqiang Yu

Papers from Z. Ye's perspective

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

1. Gradient-based learning applied to document recognition
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Prognostics of lithium-ion batteries based on DempsterShafer theory and the Bayesian Monte Carlo me
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Mis-Specification Analysis of Linear Degradation Models (IEEE Transactions on Reliability)
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. A PSEUDO-LIKELIHOOD ESTIMATION METHOD FOR NONHOMOGENEOUS GAMMA PROCESS MODEL WITH RANDOM EFFECTS
10. Wiener processes with random effects for degradation data (Journal of Multivariate Analysis)

Their papers

• Stochastic modelling and analysis of degradation for highly reliable products (2015) — 624 citations
• Degradation Data Analysis Using Wiener Processes With Measurement Errors (2013) — 354 citations
• The Inverse Gaussian Process as a Degradation Model (2014) — 511 citations
• RUL Prediction of Deteriorating Products Using an Adaptive Wiener Process Model (2017) — 313 citations
• Closed-Form Estimators for the Gamma Distribution Derived From Likelihood Equations (2017) — 92 citations
• How do heterogeneities in operating environments affect field failure predictions and test planning (2013) — 64 citations