Lei Luo Editor at IgMin Research
Our purpose is to accelerate innovation by enhancing interdisciplinary communication.
Biography
As the first and corresponding author, he published 14 papers in journals included in SCI, SSCI, CSSCI and CSCD, including TOP2 in the first district of the Chinese Academy of Sciences, 1 in the four major journals of Agricultural Economics, and 1 in the full text of the Renmin Photocopying newspaper. The cumulative impact factor was 73.382, and the highest factor of a single paper was 11.1.
He made academic reports at the China Agricultural Economic Management Annual Conference and other conferences, and was awarded the first prize of excellent paper in the Fourth Rural Revitalization Summit Forum. He combined cooperative economic organizations with resource economics to conduct innovative research, which was recognized by domestic and foreign peers. He was invited to serve as a reviewer for 4 SCI journals such as CAD and JEPM, and was jointly trained by the University of Helsinki, Finland, for one year.
Research Interest
Behavioral science, sustainable development
0000-0003-2245-8648 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
- Cyber Threat Analysis (CTA) in Current Conflicts
- Use of Augmented Reality as a Radiation-free Alternative in Pain Management Spinal Surgeries
- From Traditionalism to Algorithms: Embracing Artificial Intelligence for Effective University Teaching and Learning
- Assessing Bee (Hymenoptera, Apoidea, Anthophila) Diversity and Floral Preference in Two Habitats in the Iberian Peninsula
- Semiclassical Potential Function of B–B Interaction: Reduction to Integrable Form
- Enhancing Missing Values Imputation through Transformer-Based Predictive Modeling
