Biography
Prof Jun Yang is now with the School of Reliability and Systems Engineering, Beihang University. His scientific interests include statistical quality control, reliability modelling, reliability statistics, accelerated test design and analysis, network reliability, transfer learning. He received the B.S. degree in applied mathematics from Yantai University in 1998, and the Ph.D. degree in probability and statistics from the Chinese Academy of Sciences, in 2006. He has published 8 scholarly monographs and more than 150 journal papers, where over 100 papers are indexed by SCI
Research Interest
Statistical quality control, reliability modelling, reliability statistics, accelerated test design and analysis, network reliability, transfer learning
Editor
Work Details
Dean
Beihang University
Quality and Reliability Engineering
China
Contribution by Topic Area
Why publish with us?
Global Visibility – Indexed in major databases
Fast Peer Review – Decision within 14–21 days
Open Access – Maximize readership and citation
Multidisciplinary Scope – Biology, Medicine and Engineering
Editorial Board Excellence – Global experts involved
University Library Indexing – Via OCLC
Permanent Archiving – CrossRef DOI
APC – Affordable APCs with discounts
Citation – High Citation Potential
Which articles are now trending?
Research Articles
- Lunar-Derived Propellants for Fueling Mars-Bound Spacecraft in Cis-Lunar Space
- Adaptation of the Physical Literacy Scale for Adults into Turkish and Examination of its Psychometric Properties
- Methodology of the Professional-Business Game for the Development of a Cadet Leader in Professional Training Courses (L-1B) of the Tactical Level of Military Education
- Microgravity Employment in Archaeology – Available Experience and Future Perspectives
- Gaussian-Transform for the Dirac Wave Function and its Application to the Multicenter Molecular Integral Over Dirac Wave Functions for Solving the Molecular Matrix Dirac Equation
- Enhancing Material Property Predictions through Optimized KNN Imputation and Deep Neural Network Modeling
Advertisement


