Innovative Research Award
Yonghui Xu – Guangzhou Maritime University
Yonghui Xu is affiliated with Guangzhou Maritime University, China, and is associated with research in human-centered robot design. His scholarly profile includes 118 documents, 1,442 citations, and an h-index of 19 according to the supplied Scopus author information.His ORCID record provides an additional persistent identifier for scholarly activities. [2]
Abstract
The Innovative Research Award recognizes scholarly work demonstrating meaningful contributions to research, technological development, and knowledge advancement. Yonghui Xu, affiliated with Guangzhou Maritime University, is presented in relation to research concerning human-centered robot design. The supplied scholarly indicators include 118 documents, 1,442 citations, and an h-index of 19. [1]
Keywords
Human-centered robot design, robotics, automation, intelligent systems, human-robot interaction, robot innovation, robotic technologies, autonomous systems, engineering research, scholarly impact, research innovation, Guangzhou Maritime University.
Introduction
Human-centered robotics emphasizes the development of robotic systems that account for human needs, interaction, usability, and operational contexts. Research in this area connects engineering with intelligent system design and interaction principles. Yonghui Xu’s identified subject area places his scholarly profile within this interdisciplinary research landscape and supports consideration for innovation-focused recognition. [2]
Research Profile
Yonghui Xu is associated with Guangzhou Maritime University and identified with human-centered robot design. The supplied Scopus information records 118 documents, 1,442 citations, and an h-index of 19, providing quantitative indicators of scholarly activity and citation reach. His ORCID identifier further supports consistent identification across research outputs and academic systems. [2]
Research Contributions
Research associated with human-centered robot design contributes to robotics by emphasizing systems that integrate technical performance with human requirements. Such work can address interaction, usability, adaptability, and practical deployment considerations. Xu’s profile is relevant to this research direction through its stated subject area and documented scholarly activity, supporting an innovation-oriented academic assessment. [3]
Publications
The supplied Scopus profile reports 118 documents associated with Yonghui Xu, indicating a substantial body of indexed scholarly output. These records provide a basis for evaluating research activity, thematic continuity, and scholarly dissemination. Individual publication titles, journals, years, and DOI information should be verified directly through authoritative bibliographic records before being used for detailed publication-level assessment. [1]
Research Impact
The supplied scholarly indicators report 1,442 citations and an h-index of 19 for the identified Scopus author profile. These measures provide quantitative evidence of citation activity, although they should be interpreted alongside publication quality, disciplinary context, collaboration, and research significance. Together, the indicators offer one perspective on the visibility of Xu’s research record. [2]
Award Suitability
Yonghui Xu’s stated specialization in human-centered robot design aligns with the broader objectives of robotics and automation recognition. His documented publication and citation indicators provide measurable evidence of scholarly activity. On the supplied information, the profile can be considered relevant to an Innovative Research Award emphasizing research development, interdisciplinary robotics, technological advancement, and sustained scholarly contribution.[3]
Conclusion
The available information presents Yonghui Xu as a researcher associated with human-centered robot design at Guangzhou Maritime University. The reported publication and citation indicators demonstrate an established scholarly record. These factors, together with the relevance of human-centered robotics to contemporary automation research, provide a reasonable academic basis for consideration under an Innovative Research Award.[2]
External Links
References
- Industrial Robot Applications, Urban–Rural Dual-System Structure, and Rural–Urban Labor Migration: Evidence from 31 Chinese Provinces.
https://www.mdpi.com/2071-1050/18/17/8789
- A Unified Framework for Metric Transfer Learning
https://www.researchgate.net/publication/313734270_A_Unified_Framework_for_Metric_Transfer_Learning
- A survey on heterogeneous transfer learning.
https://link.springer.com/article/10.1186/s40537-017-0089-0