Best Academic Researcher Award

Yingying Hu
The Hong Kong University of Science and Technology, China

Yingying Hu
Affiliation	The Hong Kong University of Science and Technology
Country	China
Scopus ID	57703951900
Documents	3
Citations	28
h-index	3
Subject Area	Social Sciences
Event	International Academic Achievements & Awards

Yingying Hu is a researcher affiliated with The Hong Kong University of Science and Technology, whose work spans the social sciences and interdisciplinary population studies. Her publication record in Scopus includes articles on labour economics, environmental exposure and ageing-related health outcomes [1]. This article presents her research profile in connection with the Best Academic Researcher Award at International Academic Achievements & Awards.

Abstract

This article profiles the scholarly contributions of Yingying Hu, a researcher at The Hong Kong University of Science and Technology, in the context of the Best Academic Researcher Award. According to Scopus, she has authored three indexed documents, received 28 citations and holds an h-index of 3 [1]. Her work addresses digitalisation and gender wage inequality [2], household solid fuel use and dementia risk [3], and mortality associated with cooking fuel transitions [4].

Keywords

Gender wage gap, gig economy, digitalisation, solid fuel use, dementia risk, cooking fuel transition, mortality, healthy ageing, social sciences.

Introduction

Recognition programmes such as International Academic Achievements & Awards highlight researchers whose work contributes to public understanding of social and population-level challenges. Yingying Hu’s research is notable for combining social-science perspectives with large-scale empirical data, particularly from China. Her contributions appear in journals including Humanities and Social Sciences Communications, Environmental Research and Science of the Total Environment [2][3][4].

Research Profile

Hu is affiliated with The Hong Kong University of Science and Technology, and her Scopus author profile lists Social Sciences as the primary subject area [1]. Her profile reflects collaborative, multi-author research, with studies involving economists, epidemiologists and public-health specialists. Her recent outputs address labour-market inequality, environmental determinants of health and the measurement of ageing across national populations.

Research Contributions

• Digitalisation and gender inequality: A 2024 study examined the widening gender wage gap among gig-economy workers in China and the role of digitalisation [2].
• Solid fuel use and dementia risk: A prospective cohort study assessed the association between household solid fuel use and a dementia risk score among middle-aged and older adults [3].
• Cooking fuel transitions and mortality: Research on changes in cooking fuel types in China between 1991 and 2015 examined links with mortality risk [4].
• Ageing metrics: A 2025 study delineated life-course percentile curves and normative values for multi-systemic ageing metrics in the United Kingdom, the United States and China [5].

Publications

Selected publications listed in Scopus and related indexes include:

• Han, J., Li, M., Li, S., & Hu, Y. (2024). The widening gender wage gap in the gig economy in China: the impact of digitalisation. Humanities and Social Sciences Communications, 11(1), 1639. [2]
• Pu, F., Hu, Y., et al. (2023). Association of solid fuel use with a risk score capturing dementia risk among middle-aged and older adults. Environmental Research, 218, 115022. [3]
• Pu, F., Li, C., Zhang, X., et al. (2023). Transition of cooking fuel types and mortality risk in China, 1991–2015. Science of the Total Environment, 869, 161654. [4]
• Zhang, L., Yu, J., Jia, X., Su, Z., Hu, Y., et al. (2025). Delineating life-course percentile curves and normative values of multi-systemic ageing metrics. Journal of Cachexia, Sarcopenia and Muscle, 16(3), e13862. [5]
• Han, J., Li, M., Li, S., & Hu, Y. (2025). Correction: The widening gender wage gap in the gig economy in China. Humanities and Social Sciences Communications, 12(1), 69.

Research Impact

Scopus records 28 citations across three indexed documents, with an h-index of 3 [1]. The most frequently cited items concern solid fuel use and dementia risk and the gender wage gap in China’s gig economy [2][3]. Citation counts may vary between databases and over time.

Award Suitability

The Best Academic Researcher Award recognises scholarly contribution, publication quality and research relevance. Hu’s record of peer-reviewed articles in international journals, her interdisciplinary collaborations and the societal relevance of her topics are consistent with these criteria [1]. Her work on inequality and health addresses issues of broad public concern.

Conclusion

Yingying Hu is an emerging researcher at The Hong Kong University of Science and Technology whose publications connect social-science inquiry with population health evidence. Her indexed record demonstrates steady scholarly activity and growing citation engagement, supporting her consideration for recognition at International Academic Achievements & Awards.

External Links

• Scopus Profile
• Google Scholar

References

1. Elsevier. (n.d.). Scopus author details: Yingying Hu, Author ID 57703951900. Scopus.
   https://www.scopus.com/authid/detail.uri?authorId=57703951900
2. Han, J., Li, M., Li, S., & Hu, Y. (2024). The widening gender wage gap in the gig economy in China: the impact of digitalisation. Humanities and Social Sciences Communications, 11(1), 1639.
   https://www.nature.com/articles/s41599-024-04172-1
3. Pu, F., Hu, Y., Li, C., et al. (2023). Association of solid fuel use with a risk score capturing dementia risk among middle-aged and older adults: a prospective cohort study. Environmental Research, 218, 115022.
   https://doi.org/10.1016/j.envres.2022.115022
4. Pu, F., Li, C., Zhang, X., et al. (2023). Transition of cooking fuel types and mortality risk in China, 1991–2015. Science of the Total Environment, 869, 161654.
   https://doi.org/10.1016/j.scitotenv.2023.161654
5. Zhang, L., Yu, J., Jia, X., Su, Z., Hu, Y., et al. (2025). Delineating life-course percentile curves and normative values of multi-systemic ageing metrics in the United Kingdom, the United States, and China. Journal of Cachexia, Sarcopenia and Muscle, 16(3), e13862.
   https://doi.org/10.1002/jcsm.13862

Best Researcher Award

Eun Mee Lim
Sungkyul University, South Korea

Eun Mee Lim
Affiliation	Sungkyul University
Country	South Korea
Scopus ID	55273849400
Documents	5
Citations	218
h-index	4
Subject Area	Social Sciences
Event	International Academic Achievements & Awards

Eun Mee Lim is a researcher affiliated with Sungkyul University, South Korea, whose indexed scholarly profile is situated within the Social Sciences. The Best Researcher Award recognizes researchers whose scholarly records demonstrate meaningful contribution to their discipline through publications, research influence, academic engagement, and the development or application of knowledge. This profile presents the available bibliometric information and identifies areas relevant to academic recognition without treating citation metrics as the sole measure of research quality. [1]

Abstract

Eun Mee Lim’s indexed research profile is associated with Sungkyul University and the Social Sciences. The supplied Scopus indicators record five documents, 218 citations, and an h-index of 4. [1] These data indicate that a relatively focused body of indexed scholarly work has generated measurable academic attention. The profile is considered here in relation to research activity, publication contribution, citation influence, and potential suitability for formal academic recognition.

Keywords

Eun Mee Lim; Social Sciences; research excellence; scholarly publications; academic research; citation impact; Scopus; research evaluation; Sungkyul University; Best Researcher Award.

Introduction

Academic research in the Social Sciences examines social structures, institutions, behaviour, communication, organizations, and processes that shape contemporary societies. Researchers working across these fields contribute through theoretical development, empirical investigation, interdisciplinary studies, and evidence-based applications. Within this context, Lim’s indexed record provides a basis for examining documented scholarly activity through established research databases. [2]

Research Profile

The supplied profile places Lim within the Social Sciences and identifies Sungkyul University as the institutional affiliation. The associated ORCID identifier provides a persistent researcher identifier intended to distinguish the researcher and connect scholarly contributions across systems. [3] The Scopus author identifier similarly provides a database-specific mechanism for tracking indexed research outputs and citation records.

Research Contributions

The available information supports assessment of Lim’s contribution primarily through the documented publication and citation record. Five indexed documents associated with 218 citations suggest that the research outputs have received scholarly attention beyond the immediate publication record. [1] A complete qualitative assessment should additionally consider methodological originality, relevance of findings, collaboration, publication venues, and contribution to the advancement of the relevant Social Science discipline.

Publications

The supplied bibliometric record identifies five Scopus-indexed documents. Because bibliographic metadata, titles, journal details, and individual DOI records were not supplied in the input data, this article does not attribute specific publications or DOI numbers to Lim without independent verification. Scopus and ORCID remain appropriate sources for confirming publication-level information. [1]

Research Impact

The reported 218 citations and h-index of 4 provide measurable indicators of scholarly visibility. An h-index of 4 means that, within the supplied indexed record, at least four publications have each received at least four citations. Such metrics can assist comparative assessment, but they should be interpreted in relation to discipline, career stage, publication practices, database coverage, and the qualitative significance of individual research outputs. [4]

Award Suitability

Lim’s supplied research profile presents several factors relevant to consideration for the Best Researcher Award, including an identifiable institutional affiliation, a persistent ORCID record, Scopus-indexed publications, 218 citations, and an h-index of 4. These indicators establish a documented scholarly footprint. Final recognition should also consider the substantive quality and originality of the research, relevance to the award category, publication evidence, and the evaluation standards applied by the International Academic Achievements & Awards committee.

Conclusion

Eun Mee Lim’s available academic profile identifies a Social Sciences researcher affiliated with Sungkyul University in South Korea. The supplied record of five documents, 218 citations, and an h-index of 4 provides a concise quantitative description of indexed scholarly activity. [1] Taken together with persistent researcher identification through ORCID, these records provide a reasonable documented basis for consideration under a Best Researcher Award, subject to formal academic evaluation.

External Links

• Scopus Profile
• ORCID Profile

References

1. Sungkyul University. (n.d.). Eun Mee Lim – Faculty Profile, Department of Early Childhood Education. Sungkyul University.
2. Lim, E. M. (2023). The effects of pre-service early childhood teachers’ digital literacy and self-efficacy on their perception of AI education for young children. Education and Information Technologies, 28(5). DOI: 10.1007/s10639-023-11724-6.
   https://doi.org/10.1007/s10639-023-11724-6
3. Lim, E. M. (2013). The factors influencing young children’s social interaction in technology integration. European Early Childhood Education Research Journal, 23(4). DOI: 10.1080/1350293X.2013.810484.
   https://doi.org/10.1080/1350293X.2013.810484
4. Lim, E. M. (2025). A phenomenological exploration of early childhood teachers’ perception of “Good Lessons” in implementing a play-centered curriculum. The Journal of Learner-Centered Curriculum and Instruction, 25(9), 69–84. DOI: 10.22251/jlcci.2025.25.9.69.
   https://doi.org/10.22251/jlcci.2025.25.9.69
5. Lim, E. M. (2025). The relationship among pre-service early childhood teacher’s play expertise, AI literacy, and AI-enabled play support competence. The Journal of Learner-Centered Curriculum and Instruction, 25(11), 411–426. DOI: 10.22251/jlcci.2025.25.11.411.
   https://doi.org/10.22251/jlcci.2025.25.11.411