Innovative Research Award
Guangzhen Si
Zhejiang University of Technology, China
Guangzhen Si is a researcher affiliated with Zhejiang University of Technology, China, whose documented scholarly profile is associated with engineering research. The available bibliographic record lists 17 documents, 359 citations, and an h-index of 6 in Scopus. [1] These indicators provide a quantitative view of the researcher’s indexed publication and citation activity.
Abstract
This academic recognition profile presents the documented research record of Guangzhen Si in engineering. The available Scopus information identifies 17 indexed documents, 359 citations, and an h-index of 6. [1] A 2026 conference paper further records Si as a co-author of research on multi-scale dynamic adaptive attention mechanisms for cross-domain specific emitter identification, indicating engagement with computational and signal-processing research themes. [2]
Keywords
Engineering; adaptive attention mechanisms; specific emitter identification; cross-domain learning; computational research; research impact; bibliometrics.
Introduction
Guangzhen Si is affiliated with Zhejiang University of Technology and is represented in the Scopus database under author ID 57192688905. [1] The available record places the research profile within Engineering and provides bibliometric indicators that can be used to describe indexed scholarly activity.
Research Profile
The documented research profile combines engineering-oriented scholarly output with work involving computational methods. The reported Scopus indicators of 17 documents and 359 citations, together with an h-index of 6, provide measurable evidence of indexed research activity. [1]
Research Contributions
A recorded 2026 conference contribution titled MAAB: Multi-scale Dynamic Adaptive Attention Mechanisms for Cross-Domain Specific Emitter Identification lists Guangzhen Si among its authors. The work addresses adaptive attention mechanisms in the context of cross-domain specific emitter identification, illustrating an application of machine-learning approaches to an engineering research problem. [2]
Publications
The documented publication record includes the following 2026 conference paper:
- MAAB: Multi-scale Dynamic Adaptive Attention Mechanisms for Cross-Domain Specific Emitter Identification. H. Zou, M. Wang, J. Wang, G. Si. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (LNICST), 2026. [2]
Research Impact
The Scopus record reports 359 citations across 17 documents, with an h-index of 6. [1] These figures describe citation activity within the indexed database and should be interpreted in relation to publication year, field-specific citation practices, and database coverage.
Award Suitability
For the International Forensic Scientist Awards, the available record provides identifiable evidence of engineering research activity, indexed publications, citation impact, and a recent contribution involving adaptive computational methods. [1] [2] Final award assessment should consider the complete nomination materials, verified publication record, originality, and the criteria established by the award organizers.
Conclusion
Guangzhen Si’s documented scholarly profile reflects engineering research activity supported by indexed publication and citation indicators. The 2026 conference contribution on adaptive attention mechanisms provides a specific example of current research involvement, while the reported Scopus metrics offer a quantitative description of the broader indexed record. [1] [2]
External Links
References
- Elsevier. (n.d.). Scopus author details: Guangzhen Si, Author ID 57192688905. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=57192688905
- Zou, H., Wang, M., Wang, J., & Si, G. (2026). MAAB: Multi-scale Dynamic Adaptive Attention Mechanisms for Cross-Domain Specific Emitter Identification. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (LNICST).
- Zhejiang University of Technology. Institutional research and academic information concerning engineering research activities.
- International Forensic Scientist Awards. Award information and nomination resources.
forensicscientist.org
