Chengjiang Li Editor at IgMin Research
Our purpose is to drive collective progress by bringing multiple fields into conversation.
Biography
Work Experience: 2021.03-Present. Associate Professor- School of Management, Guizhou University
Education Background: 2017.11-2021.02. School of Engineering, University of Tasmania
Ph.D. in Mechanical Engineering (Full scholarship)
2015.02-2016.12. School of Natural & Built Environments, University of South Australia
Master of Environmental Science (Merit)
2010.09-2011.12. Adam Smith Business School, University of Glasgow (UK)
Master of International Business & Entrepreneurship
2009.07-2010.02. University Of Applied Sciences Utrecht (the Netherlands)
Exchange project student (Scholarship)
2006.09-2010.07. School of Economics & Management, Beijing University of Technology
Bachelor of Economics
Research Interest
Carbon reduction; clean energy; methanol; alternative energy vehicles
Editor
Work Details
Associate Professor
Guizhou University
School of Management
China
0000-0002-1864-2023 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
- Balancing Act: Exploring the Interplay Between Human Judgment and Artificial Intelligence in Problem-solving, Creativity, and Decision-making
- Contribution to the Knowledge of Ground Beetles (Coleoptera: Carabidae) from Pakistan
- Utilising Phytoremediation in Green Technologies: Exploring Natural Means of Environmental Clean-up
- Properties of Indium Antimonide Nanocrystals as Nanoelectronic Elements
- DNA Genetics and UHPLC-Q-TOF-MS Analysis of Phytochemicals for Asparagus racemosus Roots
- Melanocytic Nevi Classification using Transfer Learning
