Innovative Research Award
Youde Ding — Guangzhou Medical University
| Researcher Information |
| Affiliation |
Guangzhou Medical University |
| Country |
China |
| Scopus ID |
56925759000 |
| Documents |
Not Available |
| Citations |
Not Available |
| h-index |
Not Available |
| Subject Area |
Computing and Information Studies |
| Event |
neuroscientists.net |
| ORCID |
Not Available |
The Innovative Research Award recognition profile for Youde Ding presents an academic overview of a researcher affiliated with Guangzhou Medical University in China and associated with the subject area of Computing and Information Studies. The profile is structured around bibliographic identity, research contribution, scholarly visibility, and the relevance of innovation-oriented research to an interdisciplinary academic recognition framework. The Scopus author identifier supplied for the profile is 56925759000. [1]
Because publication counts, citation totals, h-index data, ORCID information, and individual publication records were not supplied with the profile data, those fields are identified as not available rather than estimated. This approach maintains a distinction between verified bibliographic information and information that would require independent database confirmation.
Abstract
This academic recognition profile examines the research identity and award relevance of Youde Ding of Guangzhou Medical University, China. The supplied bibliographic record identifies Scopus Author ID 56925759000 and places the researcher within Computing and Information Studies. The profile considers research orientation, potential contributions, scholarly visibility, and suitability for an innovation-focused academic award. Available information is presented without extrapolating unavailable bibliometric values. Scopus provides a structured environment for author identification and publication-level bibliographic information, making author identifiers useful for distinguishing researchers with similar names. [1]
Keywords
Youde Ding, Innovative Research Award, Guangzhou Medical University, China, Computing and Information Studies, scholarly research, research innovation, academic recognition, Scopus Author ID, bibliometric profile.
Introduction
Innovation in contemporary research frequently involves the application of computational methods, information systems, data-oriented approaches, and interdisciplinary techniques to complex scientific questions. Computing and Information Studies encompasses a broad scholarly landscape in which computational approaches can support data processing, modelling, information retrieval, digital systems, and knowledge generation.
Within this context, an innovation-oriented academic award can be assessed through evidence of original research, methodological contribution, scholarly dissemination, and demonstrable relevance to a defined research field. The assessment should distinguish between verified bibliographic evidence and qualitative descriptions of research activity. Author identifiers such as Scopus IDs provide an important mechanism for associating scholarly records with individual researchers. [1]
Computational research has also become increasingly influential across scientific disciplines, including biomedical and life-science research. The development of machine-learning methods, for example, has expanded the range of computational techniques available for scientific data analysis and pattern recognition. [2]
Research Profile
Youde Ding is identified in the supplied information as being affiliated with Guangzhou Medical University in China. The stated subject area is Computing and Information Studies, providing the principal disciplinary context for this recognition profile. The available Scopus identifier is 56925759000. [1]
The researcher profile can be considered through several dimensions of scholarly activity, including disciplinary alignment, methodological development, publication activity, collaboration, and dissemination. However, quantitative assessment of these dimensions requires verified bibliometric records. Since document count, citation count, and h-index values were not provided, no numerical performance assessment is assigned in this article.
- Researcher: Youde Ding
- Institution: Guangzhou Medical University
- Country: China
- Disciplinary area: Computing and Information Studies
- Scopus Author ID: 56925759000
Research Contributions
The supplied information establishes the researcher’s disciplinary affiliation but does not provide a verified list of individual research outputs. Accordingly, specific publications, datasets, algorithms, software systems, or experimental findings are not attributed to Youde Ding without supporting bibliographic evidence.
For an innovation-focused assessment, research contributions may appropriately be examined according to originality, methodological significance, reproducibility, interdisciplinary relevance, and contribution to knowledge. In computing and information studies, these dimensions can include the development or application of computational methods, information-processing approaches, data-driven models, digital infrastructures, or analytical frameworks.
- Originality and distinctiveness of the research problem or approach.
- Methodological contribution to computing or information-oriented research.
- Potential interdisciplinary value and applicability.
- Quality and transparency of scholarly dissemination.
- Evidence of sustained research development and scholarly engagement.
Publications
No individual publication records were supplied as part of the input data for this article. The Scopus Author ID 56925759000 provides a route for examining the researcher’s indexed bibliographic record, but publication titles, journals, years, citation counts, and DOI identifiers should be verified directly against the authoritative bibliographic record before being incorporated into a formal publication list. [1]
For this reason, this section intentionally does not present unverified publications or attribute specific DOI records to the researcher. A DOI is included in the references only where it corresponds to a separately identified methodological source rather than being presented as a publication by Youde Ding. [2]
Research Impact
Research impact can be evaluated through a combination of scholarly influence, methodological adoption, interdisciplinary application, research collaboration, dissemination, and broader contribution to scientific or technological development. Bibliometric indicators such as citations and h-index can provide quantitative evidence, but they should be interpreted alongside the quality and context of the underlying research.
For the present profile, citation count, document count, and h-index are not available from the supplied data. Therefore, the article does not assign a numerical impact level. Verification through the researcher’s current Scopus record would be appropriate before making quantitative claims about scholarly impact. [1]
Award Suitability
The Innovative Research Award is intended, in this profile, to recognize research activity demonstrating originality and meaningful advancement within a relevant academic field. Youde Ding’s stated affiliation with Guangzhou Medical University and subject-area classification in Computing and Information Studies provide a relevant disciplinary foundation for consideration.
A complete award evaluation would require additional evidence concerning the researcher’s publications, citation performance, research methodology, originality, academic collaborations, and documented outcomes. On the currently supplied information, the profile establishes disciplinary relevance but does not provide sufficient quantitative evidence to make a definitive comparative ranking.
Conclusion
Youde Ding is identified in the supplied profile as a researcher affiliated with Guangzhou Medical University, China, with a stated subject area of Computing and Information Studies and Scopus Author ID 56925759000. The available information supports the preparation of an academic recognition profile but does not include sufficient bibliometric or publication-level evidence for a quantitative assessment.
The Innovative Research Award suitability assessment should therefore be regarded as a preliminary profile-level assessment. Verification of current Scopus records, publications, citations, research outputs, and other supporting evidence would strengthen any formal award evaluation. The approach adopted here avoids assigning unsupported metrics while preserving the documented academic information provided for the researcher.
External Links
References
- Elsevier. (n.d.). Scopus author details: Youde Ding, Author ID 56925759000. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=56925759000
- LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521, 436–444. doi:10.1038/nature14539.
https://doi.org/10.1038/nature14539