Biography
Baoming Wang, male, born in 1972, professor, PhD, PhD supervisor, director of the Building Materials Institute at Dalian University of Technology, and deputy director of the National Experimental Teaching Demonstrating Centre of Civil and Hydraulic Engineering. He won successively the Education Ministry's New Century Excellent Talents Supporting Plan, the Renowned Teachers in Liaoning Province Award, and the Hundred Talents Program of Liaoning Province.
In 2021 and 2022, he was selected into the World's Top 2% Scientists by Stanford University. His research interests focus on the area of high-performance cement-based composites and the recycling of industrial solid wastes. He has published over 150 journal articles, 4 academic monographs, and 4 translations drafted 4 standards (including national and provincial levels), and has been authorized 15 patents. And, his research was supported continuously by over 50 fund programs involving Joint Funds of the National Natural Science Foundation of China, the National Natural Science Foundation project, the National Science and Technology Support Project, and so on.
Research Interest
1. High performance cement-based composites; 2. Recycling of industrial solid wastes.

Editor
Work Details
Professor
Dalian University of Technology
School of infrastructure 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
- Sensor-based Sorting using De-XRT Sensor Applied to a Greenfield Copper Ore Project in Southern Brazil
- Enhancing Material Property Predictions through Optimized KNN Imputation and Deep Neural Network Modeling
- Slip Resistance Evaluation of 10 Indoor Floor Surfaces
- Potentially Toxic Metals in Cucumber Cucumis sativus Collected from Peninsular Malaysia: A Human Health Risk Assessment
- Deep Learning-based Multi-class Three-dimensional (3-D) Object Classification using Phase-only Digital Holographic Information
- Efficient Room Temperature Ethanol Vapor Sensing by Unique Fractal Features of Tin Oxide
Advertisement