Best Researcher Award

Ying Li
Guangzhou Medical University, China

Ying Li
Affiliation Guangzhou Medical University
Country China
Scopus ID 57211569140
Documents 74
Citations 4,030
h-index 32
Subject Area Dermatological sensors
Event World Skincare Innovation Awards
ORCID 0000-0002-9595-6296

Ying Li is a researcher affiliated with Guangzhou Medical University whose scholarly record includes work involving aggregation-induced emission, biomedical sensing, imaging, antimicrobial materials, and related biomedical technologies. Publicly indexed author information identifies Scopus Author ID 57211569140 and an ORCID record associated with this researcher. [1] The research profile is considered here in the context of dermatological sensors and the Best Researcher Award at the World Skincare Innovation Awards.

Abstract

Ying Li is a researcher affiliated with Guangzhou Medical University whose indexed scholarly activities encompass biomedical sensing, aggregation-induced emission materials, imaging, antimicrobial technologies, and related translational research. Public author records associate the researcher with Scopus Author ID 57211569140 and ORCID 0000-0002-9595-6296. Recent publications describe sensor-oriented and biomedical applications of functional fluorescent materials, including point-of-care detection, antibacterial systems, imaging, and theranostic approaches. [1] [2] These research directions provide a relevant scientific foundation for considering contributions to dermatological sensing, wearable diagnostics, skin-related monitoring technologies, and innovation within skincare research.

Keywords

Dermatological sensors; biomedical sensors; wearable diagnostics; aggregation-induced emission; fluorescent materials; point-of-care diagnostics; skin health monitoring; biosensing; biomedical imaging; antimicrobial materials; nanotechnology; skincare innovation.

Introduction

Dermatological sensing is an interdisciplinary research area connecting dermatology, materials science, biomedical engineering, analytical chemistry, and digital health. Sensors can support the measurement or interpretation of biological and physicochemical signals associated with skin condition, infection, inflammation, wound status, and other health parameters. The development of fluorescent probes, responsive materials, and portable analytical systems has expanded opportunities for non-invasive and point-of-care biomedical assessment. [3]

Research Profile

The supplied research metrics identify 74 documents, 4,030 citations, and an h-index of 32 for Ying Li. These values should be interpreted as time-sensitive bibliometric indicators because database counts may change as publications are indexed and citations accumulate. The Scopus-associated author information confirms the Scopus identifier and current institutional affiliation shown in the profile. [1]

Research Contributions

The available publication record indicates contributions to functional fluorescent materials and biomedical technologies. Examples include research on aggregation-induced emission luminogens for biological applications, antimicrobial systems, diagnostic assays, and imaging-guided therapeutic strategies. [2] [3] Such technologies are relevant to sensor development because optical signals can be engineered to respond to biological targets or environmental changes.

Publications

Selected publications associated with the researcher demonstrate activity across biomedical imaging, antimicrobial technologies, diagnostics, and functional luminescent materials. The following examples are presented as representative publications rather than as a complete bibliography.

Research Impact

The supplied bibliometric profile reports 4,030 citations and an h-index of 32 across 74 documents. Bibliometric measures provide quantitative indicators of scholarly visibility but do not, by themselves, establish the clinical, commercial, or societal significance of individual technologies. [1] The publication record nevertheless demonstrates sustained activity in biomedical materials, diagnostics, imaging, and antimicrobial research. [5]

Award Suitability

For the Best Researcher Award presented through the World Skincare Innovation Awards, Ying Li’s profile may be considered relevant where the submitted evidence demonstrates a direct contribution to dermatological sensors, skin-health diagnostics, wearable monitoring, biomedical sensing, or related skincare innovation. The researcher’s documented work in fluorescent materials, point-of-care sensing, imaging, and antimicrobial technologies provides several scientifically relevant areas for evaluation. [1] [4]

Conclusion

Ying Li’s research profile reflects multidisciplinary activity spanning functional luminescent materials, biomedical sensing, imaging, diagnostics, and antimicrobial technologies. Publicly indexed sources associate the researcher with Guangzhou Medical University, Scopus Author ID 57211569140, and ORCID 0000-0002-9595-6296. [1] The reported scholarly indicators and research themes provide a basis for consideration under the Best Researcher Award, particularly when submitted evidence demonstrates a clear and substantive relationship to dermatological sensors and skincare innovation.[5]

References

  1. Elsevier. (n.d.). Scopus author details: Ying Li, Author ID 57211569140. Scopus/ScienceDirect author information.
    https://www.scopus.com/pages/authors/57211569140
  2. Li, Y., et al. (2021). Efficient Killing of Multidrug-Resistant Internalized Bacteria by AIEgens In Vivo. Advanced Science.
    https://doi.org/10.1002/advs.202001750
  3. Li, Y., et al. (2020). Bright Aggregation-Induced Emission Nanoparticles for Two-Photon Imaging and Localized Compound Therapy of Cancers. ACS Nano, 14(12).
    https://doi.org/10.1021/acsnano.0c05610
  4. Liu, Q., Chen, X., et al., including Ying Li. (2026). Aggregation-induced emission luminogens in in vitro diagnostics: Advancing biomarker detection in body fluids. Interdisciplinary Medicine.
    https://doi.org/10.1002/inmd.70066
  5. ORCID. (n.d.). ORCID profile of Ying Li. ORCID Registry.
    https://orcid.org/0000-0002-9595-6296
Ying Li | Dermatological Sensors | Best Researcher Award

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