Minh Thu Nguyen Editor at IgMin Research
We strive to bridge scientific disciplines to stimulate collaborative growth and knowledge sharing.
Biography
Minh Thu Nguyen is an expert in Environmental field with 20 years of academic working. She received his M.S and Ph.D degree (China) all in Environmental science. At present, she is working at a government office of natural resources and Environment, collaborating with many international organizations as well as journals.
Research Interest
Environmental science, Environmental pollution, Climate change, non-point source, Multiple objective optimizations, social network analysis, loss and damage, greenhouse gases inventory, spatial analysis, Vulnerable and Risk, air pollution, water pollution, wastewater pollution treatment, green energy, circular economy, geographic information system, environmental management.
Editor
Work Details
Researcher
Vietnam Institute of Meteorology Hydrology and Climate change
Environmental Science Research
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
- Melanocytic Nevi Classification using Transfer Learning
- Correlation between Different Factors of Non-point Source Pollution in Yangtze River Basin
- Zinc Supplementation in Anorexic Children with Vomiting Syndrome: Evaluation from a Randomized Controlled Trial in Vietnam
- 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
- Deep Learning-based Multi-class Three-dimensional (3-D) Object Classification using Phase-only Digital Holographic Information
