Aijun Liu Editor at IgMin Research
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Biography
Liu Aijun, Ph.D., Professor, doctoral supervisor. Graduated from Chongqing University in 2004 with a bachelor's degree in industrial engineering. In 2007, he graduated from Chongqing University with a master's degree in management science and engineering. During 2007.07-2009.03, he was an assistant of industrial engineering at Guangdong Ocean University.
In 2011, he graduated from Chongqing University with a degree in industrial engineering. 2012.03-2012.11, as a Lecturer in department of Industrial Engineering, Southwest Jiaotong University. From December 2012 to present, he is working in the School of Economics and Management, Xidian University. 2014.04-2015.04 Visiting Scholar, Department of Supply Chain Management, Arizona State University.
Research Interest
Sustainable Supply Chain, Applications of Artificial Intelligence, Engineering Management.
Editor
Work Details
Professor
Xidian University
Management Science and 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
- Solar Energy Resource Potentials of the City of Arkadag
- Designing a Compact High-precision Positioner with Large Stroke Capability for Nanoindentation Devices
- A Comprehensive Methodology for Assessing the Business Reputation of Industrial and Production Personnel
- Prevalence of Diabetic Retinopathy among Self-reported Newly Diagnosed Diabetics
- Efficacy of Alternative Insecticides against Dusky Cotton Bug (Oxycarenus laetus) to Improve Yield Losses in Cotton Crops through Residue-based Bioassay
- Enhancing Material Property Predictions through Optimized KNN Imputation and Deep Neural Network Modeling
