Ruoyu Jin
Construction and Building Materials · 2018–2020
A researcher in the Science corpus: 3 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Ruoyu Jin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Ruoyu Jin's perspective
Ordered by how strongly the researchers Ruoyu Jin trusts endorse each paper. Same corpus, a different order for every researcher.
- Prediction of concrete strength using artificial neural networks
- Prediction of compressive strength of concrete by neural networks
- Modeling of strength of high-performance concrete using artificial neural networks
- Effect of graphene oxide nanosheets of microstructure and mechanical properties of cement composites
- An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field (J. Informetrics)
- Mechanism of cement paste reinforced by graphene oxide/carbon nanotubes composites with enhanced mechanical properties
- Effect of GO nanosheets on shapes of cement hydration crystals and their formation process
- Software survey: VOSviewer, a computer program for bibliometric mapping (Scientometrics)
- Study on the three dimensional mechanism of graphene oxide nanosheets modified cement
- A Comparison between Two Main Academic Literature Collections: Web of Science and Scopus Databases (arXiv.org)
Their papers
- Mechanical properties of recycled aggregate concrete modified by nano-particles (2020) — 136 citations
- A Holistic Review of Cement Composites Reinforced with Graphene Oxide (2018) — 188 citations
- Non-linear and mixed regression models in predicting sustainable concrete strength (2018) — 48 citations