Innovative Research Award
Lili Feng
Dalian Ocean University
Lili Feng is a researcher affiliated with Dalian Ocean University, China, whose stated subject area is Data Governance. Her academic profile records 9,123 citations, an h-index of 54, and an i10-index of 106. These bibliometric indicators provide a quantitative basis for assessing the visibility and scholarly influence of her research output. [1]
Abstract
This academic recognition profile presents the research background and scholarly indicators associated with Lili Feng of Dalian Ocean University. The profile identifies Data Governance as the principal subject area and considers research visibility through publicly stated Google Scholar metrics. With 9,123 citations, an h-index of 54, and an i10-index of 106, the available bibliometric record indicates a substantial body of cited scholarly work. [1] The profile is prepared in the context of the International Database Scientist Awards and focuses on research relevance, scholarly contribution, and measurable academic impact.
Keywords
Lili Feng; Dalian Ocean University; Data Governance; Database Science; Data Management; Research Impact; Scholarly Communication; Innovative Research Award; International Database Scientist Awards.
Introduction
Data governance encompasses the policies, processes, standards, roles, and controls used to establish responsible management of data throughout its lifecycle. It is closely connected with data quality, security, privacy, metadata, access control, regulatory compliance, and organizational accountability. Effective governance is increasingly important as research and operational environments depend on heterogeneous, distributed, and rapidly generated datasets. [2]
Within this broader research context, Lili Feng is associated with Dalian Ocean University and the subject area of Data Governance. The available academic profile provides quantitative indicators that can be used to contextualize her scholarly visibility. [1] The recognition profile therefore considers her work from the perspectives of subject relevance, research contribution, publication activity, and citation-based impact.
Research Profile
Lili Feng is affiliated with Dalian Ocean University in China. Her identified subject area is Data Governance, a multidisciplinary field situated at the intersection of database management, information systems, organizational policy, data quality, privacy, security, and responsible data use. The profile is associated with Google Scholar identifier xvn7L34AAAAJ, enabling the bibliometric information to be independently reviewed through the corresponding scholarly profile. [1]
| Profile Metric |
Reported Value |
| Citations |
9,123 |
| h-index |
54 |
| i10-index |
106 |
| Research Area |
Data Governance |
Research Contributions
Research in Data Governance generally addresses the mechanisms through which data assets are defined, controlled, maintained, shared, protected, and evaluated. Important contribution areas include data stewardship, quality management, metadata management, access policies, data lifecycle management, accountability, and governance frameworks. Established data-management literature emphasizes the importance of systematic governance structures for improving the consistency, reliability, and usability of organizational data. [2]
The supplied profile information places Lili Feng within this research domain. However, the available input does not provide a verified publication-by-publication bibliography or a detailed taxonomy of specific research projects. Accordingly, this profile does not attribute individual technical findings to the researcher without corresponding source evidence. This approach preserves a distinction between documented bibliometric information and broader characteristics of the Data Governance research field.
Publications
A complete publication bibliography should be obtained from the researcher’s authoritative scholarly profiles and publication databases. The supplied Google Scholar profile provides the appropriate starting point for reviewing indexed publications, citation relationships, and research output. [1]
Because the input data does not specify individual article titles, journals, publication years, authorship order, or DOI identifiers for Lili Feng’s publications, no unverified publication titles or DOI records are attributed to the researcher in this article. This prevents bibliographic information from being incorrectly associated with the profile.
Research Impact
The reported Google Scholar metrics indicate substantial scholarly visibility: 9,123 citations, an h-index of 54, and an i10-index of 106. [1] The h-index measures the number of publications that have received at least an equivalent number of citations, while the i10-index counts publications receiving at least ten citations on Google Scholar. These indicators should be interpreted as descriptive bibliometric measures rather than as complete assessments of research quality.
Citation counts can vary between scholarly databases because indexing coverage, duplicate records, publication types, and update schedules differ. For this reason, the reported figures are presented specifically as Google Scholar profile metrics and should not be treated as directly interchangeable with Scopus, Web of Science, or other citation-index measurements. [1]
Award Suitability
The Innovative Research Award recognition profile is relevant to the stated academic area of Data Governance and the broader field of database science. The supplied research indicators demonstrate a substantial citation footprint, while the institutional affiliation establishes an academic research context. [1]
For a formal award assessment, bibliometric indicators should be considered alongside the originality of research, methodological rigor, publication quality, practical or scientific contribution, collaboration, reproducibility, and influence within the relevant research community. The available information supports consideration of the profile but does not, by itself, constitute a comprehensive independent evaluation of research quality.
Conclusion
Lili Feng of Dalian Ocean University is presented in this profile as a researcher associated with Data Governance and the International Database Scientist Awards. The supplied Google Scholar information reports 9,123 citations, an h-index of 54, and an i10-index of 106. [1] These indicators provide evidence of substantial scholarly visibility while requiring interpretation within the context of publication discipline, database coverage, and research career stage. The profile therefore provides a structured academic recognition summary without making claims beyond the supplied and cited information.
External Links
References
- Google Scholar. (n.d.). Lili Feng, Google Scholar author profile, ID xvn7L34AAAAJ. Google Scholar.
http://scholar.google.com/citations?user=xvn7L34AAAAJ&hl=en&oi=ao
- Khatri, V., & Brown, C. V. (2010). Designing data governance. Communications of the ACM, 53(1), 148–152.
https://doi.org/10.1145/1629175.1629210
- DAMA International. (2017). DAMA-DMBOK: Data Management Body of Knowledge (2nd ed.). Technics Publications.
https://technicspub.com/dama-dmbok2/