Best Researcher Award
Jiyang Yi – Nanjing Forestry University
Jiyang Yi is a researcher at Nanjing Forestry University, China, specializing in structural engineering, construction materials, composite structures, and computational engineering. His research includes reinforced concrete, concrete-filled steel tubes, bamboo composites, structural strengthening, and machine-learning-based engineering prediction.
Abstract
Jiyang Yi’s documented research profile represents a multidisciplinary engineering portfolio combining experimental investigation, structural modelling, advanced materials, and machine-learning methods. His published research addresses structural capacity, mechanical behaviour, composite members, bamboo-based construction materials, and computational prediction. These themes position his work within contemporary structural and construction engineering research.[2]
Keywords
Structural Engineering; Bamboo Composites; Concrete-Filled Steel Tubes; Reinforced Concrete; Composite Structures; Structural Materials; Machine Learning; Structural Capacity; Sustainable Construction; Engineering Modelling.
Introduction
Modern structural engineering increasingly integrates laboratory experiments, numerical simulation, sustainable materials, and data-driven prediction. Yi’s documented publications reflect this development through research on structural members and materials together with computational techniques. The research record includes studies published in established engineering journals and covers both conventional and emerging structural systems. Examples include bamboo scrimber members, concrete-filled steel tubes, reinforced concrete columns, composite beams, structural connectors, and machine-learning prediction models. [1] [2]
Research Profile
The supplied ORCID information identifies Jiyang Yi as affiliated with Nanjing Forestry University in Nanjing, Jiangsu, China. His recent publications demonstrate continuing activity in structural performance assessment and computational modelling. Topics include axial compression, flexural behaviour, structural strengthening, connector mechanics, bamboo materials, and interpretable machine-learning approaches for predicting structural capacity. [3] [4]
Research Contributions
One important research theme is the engineering evaluation of bamboo and bamboo scrimber. The documented publications examine thermal modification, axial compression, flexural properties, and bamboo-integrated structural systems. Such studies contribute experimental evidence and modelling approaches for understanding the mechanical performance of alternative construction materials. [4] [5]
Publications
Jiyang Yi’s research reflects a broad interest in structural engineering and advanced construction materials. His work combines experimental investigation, numerical analysis, and computational methods to examine structural performance and material behaviour. The research also considers innovative materials and data-driven approaches in engineering. These areas demonstrate an interdisciplinary approach to contemporary structural research. [2]
Research Impact
The supplied bibliometric information reports 27 documents, 308 citations, and an h-index of 11. These indicators provide quantitative measures of scholarly visibility and citation activity. They can be considered alongside publication quality, research originality, collaboration, and the relevance of individual contributions when evaluating a researcher’s overall academic profile. [1]
Award Suitability
The documented profile contains several measurable elements relevant to an academic recognition assessment, including an established university affiliation, a defined engineering subject area, a substantial publication record, citation activity, and an h-index. The breadth of topics across structural materials, composite systems, and computational engineering further provides a basis for scholarly evaluation.[5]
Conclusion
Jiyang Yi’s documented research activity demonstrates a continuing focus on structural engineering, construction materials, composite systems, and computational analysis. His publication record includes experimental, numerical, and machine-learning studies involving bamboo, concrete, steel, and hybrid structural systems. [3]
External Links
References
- Elsevier. (n.d.). Scopus author details: Jiyang Yi, Author ID 58249403100. Scopus.https://www.scopus.com/pages/authors/58249403100
- Zhao, Z., Wei, Y., Yi, J., Chen, J., Ding, Y., Huang, L., & Lin, Y. (2026). Unified prediction of monotonic axial compression capacity of square and circular UHPC-filled steel tube columns: A machine learning-based approach. Thin-Walled Structures.https://doi.org/10.1016/J.TWS.2026.115384
- Xie, X., Wei, Y., Yi, J., Zhang, Z., Chen, J., & Huang, S. (2026). Aging effects on compressive behavior, micromechanisms, and constitutive modeling of laminated bamboo. Construction and Building Materials.https://doi.org/10.1016/J.CONBUILDMAT.2026.147987
- Zhang, Z., Wei, Y., Wang, J., Yi, J., & Wang, G. (2024). Effect of thermal modification on axial compression properties and hardness of laminated bamboo. Construction and Building Materials.https://doi.org/10.1016/j.conbuildmat.2023.134747
- Zhang, Y., Ren, C., Yi, J., Wei, Y., Li, G., & Zhao, H. (2024). Axial compression performance of concrete-filled steel tubular columns with damaged BFRP jackets. Construction and Building Materials.https://doi.org/10.1016/j.conbuildmat.2024.137640