Best Researcher Award
Jiyang Yi — Nanjing Forestry University, China
| Jiyang Yi | |
|---|---|
| Affiliation | Nanjing Forestry University |
| Country | China |
| Scopus ID | 58249403100 |
| Documents | 28 |
| Citations | 320 |
| h-index | 11 |
| Subject Area | Engineering |
| Event | Global Scholar Awards |
| ORCID | 0009-0006-2838-7739 |
Jiyang Yi is an engineering researcher affiliated with Nanjing Forestry University in China. His scholarly profile encompasses structural engineering, construction materials, composite structures, experimental mechanics, and data-driven engineering analysis. Available scholarly records associate his work with reinforced concrete, steel–concrete systems, bamboo composites, and machine-learning approaches for structural prediction and assessment.[3]
Abstract
Jiyang Yi is an engineering researcher at Nanjing Forestry University, China, whose scholarly work spans structural engineering, construction materials, composite structures, and data-driven prediction. His publications address concrete-filled steel tubes, bamboo-based composites, BFRP systems, reinforced concrete, structural connectors, and machine-learning methods for engineering assessment. The supplied profile records 28 documents, 320 citations, and an h-index of 11. Recent publications further indicate engagement with sustainable materials, constitutive modeling, axial compression, shear capacity, and interpretable predictive approaches. This research profile reflects an interdisciplinary orientation toward structural performance, material innovation, computational analysis, and practical challenges in contemporary civil engineering and infrastructure and innovation.
Keywords
Structural engineering, concrete-filled steel tubes, reinforced concrete columns, bamboo composites, laminated bamboo, BFRP composites, composite structures, axial compression, constitutive modeling, structural capacity prediction, machine learning, interpretable models, construction materials, sustainable materials, seismic performance, shear capacity, engineering applications, and infrastructure resilience and bridge engineering resilience systems.
Introduction
Jiyang Yi’s research profile is situated within contemporary engineering research concerned with structural materials and systems. His scholarly activities connect experimental investigation with computational analysis and address materials and structural configurations relevant to construction and infrastructure. Records associated with his ORCID identify Nanjing Forestry University as his institutional affiliation since 2019. [1]
Research Profile
Jiyang Yi’s research profile is centered on engineering materials and structural systems, with publications addressing composite members, concrete, steel, bamboo, fiber-reinforced polymers, and predictive modeling. His work combines experimental investigation with computational analysis, reflecting an interdisciplinary approach to understanding structural behavior, material performance, and practical engineering design challenges in infrastructure.
Research Contributions
Jiyang Yi has contributed to studies of composite structural members, including concrete-filled steel tubes, bamboo-based systems, BFRP-strengthened components, and connectors. His publication record also includes machine-learning approaches for predicting structural capacity and engineering behavior. These contributions connect laboratory evidence, constitutive understanding, and interpretable computational methods within contemporary structural engineering research.
Publications
Jiyang Yi’s documented publications include research on BFRP–steel–BFRP composite plates, damaged BFRP-jacketed concrete-filled steel tubular columns, manufactured-sand concrete shrinkage prediction, bamboo material behavior, and machine-learning prediction of structural capacity. Recent records also associate him with studies of PBL connectors and reinforced-concrete columns, demonstrating continuing publication activity in engineering literature practice. [4]
Research Impact
Jiyang Yi’s research impact can be viewed through scholarly indicators and the practical relevance of his publication themes. The supplied profile records 28 documents, 320 citations, and an h-index of 11. His work addresses structural safety, sustainable construction materials, composite systems, and predictive engineering, areas with continuing relevance to infrastructure. [2]
Award Suitability
Jiyang Yi’s profile is suitable for consideration for a Best Researcher Award in Engineering because it combines publication activity, citation visibility, and research spanning structural materials and computational prediction. The supplied Scopus indicators provide quantitative context, while documented publications demonstrate engagement with experimentally grounded and application-oriented engineering problems within engineering. [3]
Conclusion
Jiyang Yi represents an engineering research profile focused on structural materials, composite systems, and predictive analysis. His documented publications and bibliometric indicators provide a basis for academic recognition, while his work on sustainable materials and machine-learning-assisted engineering reflects current research directions. Continued publication and collaboration may strengthen his scholarly contribution. [3]
External Links
References
- ORCID. (n.d.). Jiyang Yi — ORCID record. ORCID.
https://orcid.org/0009-0006-2838-7739 - Zhang, Y., Yi, J., Wei, Y., & Zhao, H. (2025). Tensile properties and constitutive model of BFRP–steel–BFRP composite plates. Materials, 18(4), 756. DOI: 10.3390/ma18040756. https://doi.org/10.3390/ma18040756
- Fan, W., Wei, Y., Yi, J., Zhao, K., Zhu, B., & Li, G. (2025). Analysis and correction of the shrinkage prediction model for manufactured sand concrete. Materials, 18(16), 3802. https://doi.org/10.3390/ma18163802
- Zheng, K., Bai, X., Yi, J., Zhou, J., Zhang, Y., Dong, F., & Wei, Y. (2026). High-quality dataset and engineering-friendly interpretable machine learning model for predicting shear capacity of perfobond rib connectors. Engineering Applications of Artificial Intelligence, 179, 114996.
https://dblp.org/rec/journals/eaai/ZhengBYZZDW26 - Elsevier. (n.d.). Scopus author details: Jiyang Yi, Author ID 58249403100. Scopus.
https://www.scopus.com/pages/authors/58249403100
