Xing Wang

Australian Regenerative Medicine Institute

Papers

Total Citations

H-Index

About

Xing Wang is a researcher whose work centers on information retrieval and intelligent systems, with a notable contribution to the development of specialized retrieval architectures. Their most recognized publication, "The Monash Apple Retrieving System" (2022), demonstrates an applied focus on building domain-specific retrieval frameworks, garnering 5 citations since its release — a promising early indicator of community interest in a relatively recent work. While the current citation record reflects the early stage of Wang's publishing trajectory, the specificity of the Monash Apple Retrieving System suggests a researcher engaged in practical, system-oriented research, likely bridging gaps between theoretical retrieval models and real-world application contexts. Work of this nature often underpins broader advances in agricultural informatics, multimodal search, or specialized dataset retrieval, depending on the system's scope. For students and researchers exploring niche retrieval systems or domain-adapted search technologies, Xing Wang's contributions offer a grounded starting point. As their body of work continues to grow, the foundational systems research represented by this publication positions Wang as an emerging voice in applied information retrieval and intelligent system design.