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
- Purification of Monoacylglycerides using Urea
- Balancing Act: Exploring the Interplay Between Human Judgment and Artificial Intelligence in Problem-solving, Creativity, and Decision-making
- Examining the Causal Connection between Lipid-lowering Medications and Malignant Meningiomas through Drug-target Mendelian Randomization Analysis
- Analysis of the State of Moisture Control to Ensure and Regulate the Quality of Grain and Grain Products
- Abrasive Wear in Some High Fe-Cr-C Alloy in Cement Powder
- Enhancing Material Property Predictions through Optimized KNN Imputation and Deep Neural Network Modeling
