Innovative Research Award
Xiangguang Dai
Chongqing University of Science and Technology
| Xiangguang Dai | |
|---|---|
| Affiliation | Chongqing University of Science and Technology |
| Country | China |
| Scopus ID | 57200269153 |
| Documents | 75 |
| Citations | 288 |
| h-index | 8 |
| Subject Area | Computer Science |
| Event | Global Best Achievements Awards |
| ORCID | 0000-0003-1846-2580 |
Xiangguang Dai is a researcher affiliated with Chongqing University of Science and Technology in China, with a listed subject area of Computer Science. His scholarly profile provides bibliometric indicators for examining research output, citation activity, and publication influence. The available profile information records 75 documents, 288 citations, and an h-index of 8. These indicators offer a quantitative overview of his indexed scholarly contributions but do not independently establish the quality or significance of individual studies. His profile is associated with the Innovative Research Award presented in the context of the Global Best Achievements Awards. [1] [2]
Abstract
Xiangguang Dai is affiliated with Chongqing University of Science and Technology, China, and is associated with the subject area of Computer Science. His indexed scholarly profile records 75 documents, 288 citations, and an h-index of 8, providing quantitative indicators of publication activity and citation performance. These measures offer a starting point for understanding his research record within the broader academic landscape. His profile is linked to consideration for the Innovative Research Award at the Global Best Achievements Awards. A comprehensive assessment of his work would also examine individual publications, methodological contributions, originality, reproducibility, and relevance to the research community, alongside bibliometric indicators. [1] [2]
Keywords
Xiangguang Dai; Innovative Research Award; Computer Science; Chongqing University of Science and Technology; scholarly publications; research evaluation; citation analysis; h-index; academic impact; Global Best Achievements Awards; research productivity; scientific communication.
Introduction
Research recognition provides an opportunity to document scholarly activity, communicate academic achievements, and highlight contributions to a field of study. In Computer Science, research can involve theoretical investigation, computational methods, software systems, data analysis, and practical technological applications. Assessing a researcher’s work requires consideration of both publication records and the substance of the underlying studies. Xiangguang Dai’s indexed profile offers bibliometric information that can support an initial examination of his academic output, while his institutional affiliation supplies context for his research identity. [1] [3]
Research Profile
Xiangguang Dai is associated with Chongqing University of Science and Technology in China. His stated subject area is Computer Science, a broad discipline encompassing algorithms, computation, information systems, and related technological research. The supplied Scopus profile identifies him through author ID 57200269153, while his ORCID identifier provides a separate persistent researcher identifier. These identifiers can help readers locate scholarly records and distinguish research profiles. Specific research specializations, academic appointments, and project responsibilities should be established through verified institutional and publication records rather than inferred solely from bibliometric information. [1] [2]
Research Contributions
A researcher’s contributions are best understood by examining the problems addressed, methods developed, findings reported, and potential applications of individual studies. Dai’s recorded publication activity provides a basis for locating and reviewing his scholarly work across indexed sources. However, the supplied bibliometric figures do not identify particular discoveries, technical innovations, patents, or research projects. A detailed account of his contributions should therefore be grounded in verified publication abstracts, full-text studies, and project documentation. Such an assessment can clarify the originality, methodological rigor, practical relevance, and reproducibility of his work within Computer Science. [1] [3]
Publications
The supplied Scopus profile lists 75 documents associated with Xiangguang Dai. This figure provides an indication of the volume of indexed scholarly output recorded in that profile, although the exact document types, publication dates, authorship positions, and subject distribution require direct examination of the individual records. A reliable publication bibliography should identify each work by title, author list, publication venue, year, and DOI where available. Cross-checking bibliographic information against publisher records helps improve accuracy and supports readers seeking to access the original research. [1]
Research Impact
The supplied profile records 288 citations and an h-index of 8. Citation counts describe how frequently indexed publications have been cited within the database’s coverage, while the h-index combines publication productivity with citation frequency. These measures can assist in describing research visibility but are influenced by discipline, publication age, database coverage, and citation practices. They should not be treated as direct measures of research quality or societal benefit. A balanced impact assessment would also consider the significance of findings, independent validation, practical adoption, collaboration, and contributions to subsequent scholarship. [1] [3]
Award Suitability
The Innovative Research Award recognizes the importance of research originality, methodological development, and contributions that may advance knowledge or practice. Xiangguang Dai’s documented publication and citation indicators provide contextual information for reviewing his research profile. A substantive assessment of suitability should examine verified scholarly outputs, the novelty of the research questions, the reliability of the methods, the significance of the findings, and evidence of influence within the relevant field. The Global Best Achievements Awards website provides the organizational context for the recognition. No specific judging outcome or award decision should be inferred from bibliometric indicators alone. [1] [4]
Conclusion
Xiangguang Dai’s available academic profile identifies his affiliation with Chongqing University of Science and Technology, China, and lists Computer Science as his subject area. The supplied metrics of 75 documents, 288 citations, and an h-index of 8 provide a concise quantitative overview of his indexed scholarly activity. These figures establish a useful starting point for further investigation but do not replace a qualitative review of individual publications and research outcomes. A comprehensive account of his academic contributions and suitability for the Innovative Research Award should rely on verifiable bibliographic evidence, documented originality, and the significance of his research findings.
External Links
References
- Elsevier. (n.d.). Scopus author details: Xiangguang Dai, Author ID 57200269153. Scopus. Bibliographic profile and supplied citation indicators.
https://www.scopus.com/authid/detail.uri?authorId=57200269153 - ORCID. (n.d.). Xiangguang Dai: ORCID researcher identifier 0000-0003-1846-2580. ORCID provides persistent identifiers that help distinguish researchers and connect their scholarly contributions.
https://orcid.org/0000-0003-1846-2580 - A Quantised Push-Sum Distributed Adaptive Momentum Algorithm for Optimisation Over Directed Networks.
https://doi.org/10.1049/cit2.70122. - Global Best Achievements Awards. (2026). Official awards website. Organizational website for information about the award program and its recognition activities. Specific award criteria and individual award decisions should be confirmed through official event information.
https://bestachievements.com/