Sunghwan Kim

Journal of Cleaner Production · with Ceylan · 2008–2018

A researcher in the Science corpus: 4 papers; trusts 0 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Who trusts Sunghwan Kim overall

1. D. Daneshvar

Papers from Sunghwan Kim's perspective

Ordered by how strongly the researchers Sunghwan Kim trusts endorse each paper. Same corpus, a different order for every researcher.

1. SIMPLE PERFORMANCE TEST FOR SUPERPAVE MIX DESIGN
2. Simple Performance Tests: Summary of Recommended Methods and Database
3. Neural Networks: A Comprehensive Foundation
4. Neural Networks in Civil Engineering: 1989–2000
5. HIRSCH MODEL FOR ESTIMATING THE MODULUS OF ASPHALT CONCRETE
6. Advanced approaches to hot-mix asphalt dynamic modulus prediction
7. Development of a New Revised Version of the Witczak E* Predictive Model for Hot Mix Asphalt Mixtures (With Discussion)
8. Field Evaluation of Witczak and Hirsch Models for Predicting Dynamic Modulus of Hot-Mix Asphalt (With Discussion)
9. Rank Correlation Methods
10. Viscoplastic modeling of asphalt mixes with the effects of anisotropy, damage and aggregate characteristics

Their papers

• Carbon fiber-based electrically conductive concrete for salt-free deicing of pavements (2018) — 187 citations
• Superhydrophobic coatings on Portland cement concrete surfaces (2017) — 136 citations
• Accuracy of Predictive Models for Dynamic Modulus of Hot-Mix Asphalt (2009) — 137 citations
• Advanced approaches to hot-mix asphalt dynamic modulus prediction (2008) — 62 citations