Published on by Global Genetics Award

Best Researcher Award

Xiaoya Liu
Tianjin University, China

Xiaoya Liu
Affiliation Tianjin University
Country China
Scopus ID 57204178405
Documents 42
Citations 477
h-index 13
Subject Area Neuroengineering
Event Genetics Awards

Xiaoya Liu is a researcher affiliated with Tianjin University in China whose stated subject area is Neuroengineering. The academic recognition profile presented here concerns the Best Researcher Award associated with the Genetics Awards event. The supplied research metrics comprise 42 documents, 477 citations, and an h-index of 13. These indicators provide a bibliometric snapshot of scholarly output and citation activity and should be interpreted in relation to field, career stage, publication practices, and the underlying indexing database. [1]

Abstract

This academic recognition profile presents Xiaoya Liu of Tianjin University, China, in connection with the Best Researcher Award under the Genetics Awards event. Liu’s stated research specialization is Neuroengineering. The supplied bibliometric record reports 42 documents, 477 citations, and an h-index of 13. These metrics indicate a documented body of indexed scholarly work and citation activity. Bibliometric indicators are quantitative measures and do not, by themselves, describe the full scientific significance, methodological quality, societal relevance, or originality of an individual researcher’s work. [1]

Keywords

  • Xiaoya Liu
  • Tianjin University
  • Neuroengineering
  • Best Researcher Award
  • Genetics Awards
  • Research impact
  • Bibliometrics

Introduction

Neuroengineering is an interdisciplinary research area that connects neuroscience and engineering with methods from fields such as biomedical engineering, electrical engineering, computer science, materials science, and related disciplines. Research in this area can involve the development or application of technologies for investigating neural systems, recording and interpreting neural signals, designing interfaces between biological and engineered systems, and supporting neurological research and applications.

Within this context, the profile of Xiaoya Liu is associated with Tianjin University and the subject area of Neuroengineering. The bibliometric information supplied for this profile provides quantitative indicators that can be used to describe the research record while recognizing that citation-based measures vary according to discipline, database coverage, publication type, and time period.  [1]

Research Profile

Researcher Xiaoya Liu
Institution Tianjin University
Country China
Subject Area Neuroengineering
Documents 42
Citations 477
h-index 13
Award Category Best Researcher Award

The supplied profile identifies Tianjin University as Liu’s institutional affiliation and Neuroengineering as the principal subject area. The reported Scopus identifier provides a route to the indexed author record, while the reported documents, citations, and h-index summarize selected bibliometric characteristics of the research profile. [1]

Research Contributions

The available information identifies Neuroengineering as Liu’s subject area but does not provide a verified publication-by-publication description of specific research projects, technologies, datasets, or experimental findings. Accordingly, this profile does not attribute particular discoveries or technical contributions beyond the supplied field classification. A detailed assessment of research contributions would require examination of the researcher’s publications, research projects, patents, conference contributions, and other primary scholarly records.

From an academic-profile perspective, the reported record of 42 indexed documents provides a quantitative basis for identifying an established publication portfolio. The citation count of 477 and h-index of 13 offer additional indicators of scholarly visibility within the relevant indexing environment. [1]

Publications

The supplied information does not include a verified list of individual publication titles, journals, publication years, co-authors, or digital object identifiers (DOIs). Therefore, no individual publication or DOI is attributed to Xiaoya Liu in this section without a corresponding source. The indexed author record can be consulted for bibliographic information and publication-level details. [1]

  • Reported indexed documents: 42.
  • Reported citations: 477.
  • Reported h-index: 13.
  • Individual DOI information: not supplied in the source data provided for this profile.

Research Impact

The supplied bibliometric indicators show 477 citations associated with 42 documents and an h-index of 13. These measures can be used as quantitative indicators of citation activity and publication performance within the indexed record. However, bibliometric values should not be treated as standalone measures of research quality or societal impact because citation behavior differs among disciplines and because databases may differ in coverage and author disambiguation.

A fuller assessment of research impact would consider the content and originality of the work, methodological rigor, influence on subsequent research, collaborations, technological or clinical translation where applicable, and evidence of broader academic or societal use. Such dimensions are not contained in the supplied numerical indicators and therefore are not independently characterized here.

Award Suitability

For the Best Researcher Award profile associated with Genetics Awards, the available information establishes several documented elements relevant to an academic recognition record: an affiliation with Tianjin University, a stated specialization in Neuroengineering, 42 reported documents, 477 reported citations, and an h-index of 13.

These indicators can form part of an award-review dossier, but they do not independently establish award eligibility or determine the outcome of an award process. A comprehensive recognition assessment would ordinarily require the applicable award criteria, verified publication records, research contributions, peer-reviewed evidence, and any additional materials specified by the organizing body.

Conclusion

Xiaoya Liu is presented in this academic recognition profile as a Tianjin University researcher in China working in the stated area of Neuroengineering. The supplied bibliometric record reports 42 documents, 477 citations, and an h-index of 13. These indicators provide a concise quantitative description of the indexed research record. Further evaluation of Liu’s scholarly contributions and recognition for the Best Researcher Award would require detailed review of primary publications, research outputs, and the formal criteria applied by the relevant award program.

References

  1. Scopus. Author profile associated with Scopus Author ID 57204178405. The supplied profile data identifies 42 documents, 477 citations, and an h-index of 13. Available at:
    https://www.scopus.com/authid/detail.uri?authorId=57204178405.

  2. Naturalistic facial dynamics enable quantitative clinical assessment of atypical expression phenotypes in children with autism spectrum disorder
    https://www.nature.com/articles/s41746-026-02375-1

  3. Multidimensional Acoustic–Prosodic Quantification Framework Using Unscripted Speech for Autism Spectrum Disorder Identification
    https://onlinelibrary.wiley.com/doi/abs/10.1002/aur.70206

  4. Cross-subject emotion recognition with loop adaptive adversarial transfer network
    https://www.sciencedirect.com/science/article/pii/S0893608025012055

 

Xiaoya Liu | Neuroengineering | Best Researcher Award

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