Minh Thu Nguyen Editor at IgMin Research
Our focus is on fostering synergy among fields and promoting the swift expansion of scientific understanding.
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
- Biomimetic Synthesis of Calcium Carbonate in Bile in the presence of Amino Acids
- The Antioxidant and Antidepressant Properties of Dietary Proteins Derived from Egg and Bean Extracts and Their Acute Toxicity: A Journey from Nutrition to Pharmacognosy
- Contamination in Heat Exchangers: Types, Energy Effects and Prevention Methods
- A New Modification of Classification of Traumatic Patients with Pelvic Fracture
- 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
- From Traditionalism to Algorithms: Embracing Artificial Intelligence for Effective University Teaching and Learning
