Jiancheng Jiang | Econometrics and Statistical Economics | Innovative Research Award

Published on by Statistics

Innovative Research Award

Jiancheng Jiang,
Great Bay University.

Jiancheng Jiang
Affiliation Great Bay University
Country China
Citations 1,798
h-index 21
i10-index 26
Subject Area Semi-parametric regression
Event World Statistics Awards

Jiancheng Jiang is a researcher affiliated with Great Bay University whose stated subject area is semi-parametric regression. Available profile information reports 1,798 citations, an h-index of 21, and an i10-index of 26. These indicators provide a quantitative overview of the research record presented for this recognition article.[1]

Abstract

This article presents an academic recognition profile for Jiancheng Jiang of Great Bay University, China, with emphasis on semi-parametric regression. The supplied research indicators include 1,798 citations, an h-index of 21, and an i10-index of 26. The profile is contextualized for consideration within the World Statistics Awards.[1]

Keywords

  • Semi-parametric regression
  • Statistical modeling
  • Regression methodology
  • Statistical research
  • Research impact
  • Great Bay University

Introduction

Jiancheng Jiang is affiliated with Great Bay University, China, and works in semi-parametric regression, an area combining flexible modeling with statistical structure. His reported citation and h-index indicators provide measurable evidence of scholarly visibility. This profile summarizes the supplied academic information for consideration in the World Statistics Awards context.[1]

Research Profile

Jiancheng Jiang’s stated research specialization is semi-parametric regression, situated within modern statistical methodology. The supplied profile records 1,798 citations, an h-index of 21, and an i10-index of 26. These indicators can assist in describing the scale and visibility of his scholarly output while providing quantitative context for academic recognition and evaluation.[1]

Research Contributions

Research in semi-parametric regression contributes to statistical analysis by allowing structured relationships while retaining flexibility for complex patterns. Jiang’s identified subject area places his work within this methodological domain. The reported scholarly indicators suggest sustained academic engagement and visibility, although specific contributions should be assessed through individual publications, methods, datasets, and documented research findings.[1]

Publications

The supplied information does not include a complete publication list or individual article titles for Jiancheng Jiang. His Google Scholar profile provides an appropriate source for reviewing indexed scholarly works, citation relationships, and related bibliographic information. Specific publication titles and DOI identifiers should be verified directly from authoritative bibliographic records before formal citation or award documentation.[1]

Research Impact

The reported 1,798 citations, h-index of 21, and i10-index of 26 indicate measurable scholarly visibility associated with the supplied profile. Citation indicators can help contextualize research influence, but they should be interpreted alongside publication quality, methodological significance, collaboration, reproducibility, and field-specific citation practices when evaluating broader academic impact.[1]

Award Suitability

Jiancheng Jiang’s specialization in semi-parametric regression and reported scholarly indicators provide a relevant academic basis for consideration under an innovative research recognition category. Final award suitability should depend on the World Statistics Awards’ formal criteria, verified publications, research originality, documented contributions, and supporting evidence submitted through the appropriate nomination process.[2]

Conclusion

Jiancheng Jiang is presented as a Great Bay University researcher working in semi-parametric regression, with 1,798 reported citations, an h-index of 21, and an i10-index of 26. These details establish a concise academic profile for recognition purposes. Further assessment should rely on verified publications, research contributions, and documented evidence of innovation.[1]

References

  1. Google Scholar. (n.d.). Jiancheng Jiang, Google Scholar profile.
    https://scholar.google.com/citations?user=RUBZnz0AAAAJ&hl=en
  2. World Statistics Awards. (n.d.). World Statistics Awards.
    https://statisticsaward.com/

  3. Fan, J., & Jiang, J. (2005). Nonparametric inferences for additive models. Journal of the American Statistical Association, 100(471), 890–907

    https://doi.org/10.1198/016214504000001439

Jitae Kim | Econometrics and Statistical Economics | Excellence in Research Award

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Dr. Jitae Kim | Econometrics and Statistical Economics | Excellence in Research Award

Environmental Planning Institute | South Korea

Dr. Jitae Kim is a distinguished environmental and resource economist serving as a Senior Researcher at the Environmental Planning Institute of Seoul National University and as an Academic Research Professor with the Korea Research Foundation. He holds a Ph.D., M.A., and B.A. in Economics, completing all degrees at leading Korean universities, and has built a multidisciplinary research portfolio spanning environmental planning, climate economics, applied econometrics, labor-market dynamics, and carbon policy analysis. His scholarly work covers meta-regression valuation of biodiversity, cost–benefit assessments of ecological projects, econometric forecasting of energy demand, and empirical investigations of how climate extremes such as heatwaves and typhoons influence labor markets, wages, and informal work conditions. He has contributed extensively to research on carbon mitigation under the Korean Emissions Trading Scheme, the co-benefits of green remodeling, and the transition toward sustainable energy systems. His international collaborations include major research projects on climate-disaster-driven labor-market disruptions in the Philippines, conducted with academic partners at Ateneo de Manila University. His publications appear in respected international and Korean journals, complemented by multiple working papers, conference presentations, and policy-oriented studies. Based on publicly available academic profiles, he has 2 indexed documents and approximately 109 citations, with an estimated h-index of about 1, reflecting the early but growing influence of his work. Before advancing into academia and research leadership, he served in analytical roles with institutions such as the Korea Capital Market Institute and the Korea Labor Institute, contributing to evidence-based policy development in environmental, labor, and economic sectors. Through his expanding body of research, Dr. Kim continues to shape discussions on just transition, climate-risk adaptation, sustainable energy planning, and equitable climate-finance allocation, establishing himself as a rising scholar dedicated to bridging empirical analysis with practical environmental policy solutions.

Profiles: Scopus | Google Scholar 

Featured Publication

Kim, J., Hong, J. H., & Kim, J. (2025). Energy consumption forecasting of neighborhood living facilities: A panel regression approach.

Xhavit Islami | Econometrics and Statistical Economics | Best Researcher Award

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Assist Prof. Dr. Xhavit Islami | Econometrics and Statistical Economics | Best Researcher Award

AAB College | Albania

Assist Prof. Dr. Xhavit Islami is a leading academic in Management and Strategic Management at the Faculty of Economics, AAB College, Republic of Kosovo. He earned his PhD in Organizational Sciences and Management from the University of “Ss. Cyril and Methodius” in North Macedonia and has since built a strong record of research and scholarly contributions. Professor Islami has completed 35 research projects and is currently engaged in five ongoing projects, demonstrating his active involvement in advancing knowledge in management, strategic decision-making, human resource management, and supply chain management. He has published 16 articles in high-impact, Scopus-indexed journals and authored two books, reflecting his commitment to rigorous scholarship. His research work has earned him a Scopus h-index of 4 with 122 citations, highlighting the influence of his publications within the international academic community. He has also participated in five consultancy and industry-sponsored projects, bridging the gap between theory and practice. Professor Islami has collaborated on significant initiatives, including the “EDU-LAB Horizon” Project (2025–2027), and serves on the Scientific Committee of AAB College. His studies focus on innovative strategies, organizational performance, and the integration of artificial intelligence in management practices, providing practical insights for businesses and policymakers. Through his research, he has contributed to the understanding of competitive advantage, sustainable growth, and organizational effectiveness. Professor Islami maintains active professional profiles on Scopus, ORCID, ResearchGate, SSRN, and Academia.edu, ensuring his work is accessible and widely recognized. His scholarly achievements, combined with his ongoing research and industry collaborations, position him as a prominent figure in management and strategic studies, making him a highly deserving candidate for the Best Researcher Award.

Profiles: Scopus | Google Scholar | Orcid

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