professor at Institute of Advanced Studies in Humanities and Social Sciences, Beijing Normal University, China.
Prof. Zhu Xiaoxia ๐ฉโ๐ซ, a distinguished scholar and doctoral supervisor at Beijing Normal University ๐จ๐ณ, is renowned for her work in complex network information dissemination ๐. As a visiting scholar at Pennsylvania State University ๐บ๐ธ and a provincial outstanding young talent ๐, she has led over 20 major research projects and published more than 30 SSCI/SCI-indexed papers ๐. Serving on editorial boards and policy committees ๐๏ธ, she bridges academia and governance. Prof. Zhu actively contributes to global collaboration ๐ค through initiatives like the Future Earth Project and plays key advisory roles in climate risk, cultural diplomacy, and public policy ๐.
Professional Profile:
ORCID
Suitability for Best Researcher Award โ Prof. Zhu Xiaoxia
Prof. Zhu Xiaoxia stands out as an exceptionally qualified candidate for the Best Researcher Award, owing to her prolific scholarly output, interdisciplinary research excellence, and real-world policy impact. With over 30 SSCI/SCI-indexed publications, leadership of 20+ major research projects, and active roles in both academic and policy-making institutions, Prof. Zhu exemplifies the qualities of a top-tier researcher whose work bridges theory, practice, and global collaboration.
๐น Education & Experience
๐ Education
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Ph.D. (Field not specified, likely in Information Science or related discipline)
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Postdoctoral Research โ Funded by China Postdoctoral Science Foundation
๐ผ Experience
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๐ฉโ๐ซ Professor & Doctoral Supervisor, Beijing Normal University
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๐ Visiting Scholar, Pennsylvania State University (2018โ2019)
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๐ง Principal Investigator โ 20+ national/provincial projects
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๐ Editorial Advisory Board Member, Journal of Yanshan University
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๐ณ๏ธ Standing Director, Provincial Association for Science and Technology Policy
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๐ค Risk Assessment Adviser, Future Earth Project (FE-IRG)
๐น Professional Development
Prof. Zhu Xiaoxia has shown continuous growth through active participation in international and interdisciplinary projects ๐. Her collaboration with GIZ and the New Zealand Global Change Institute ๐ค has enhanced public risk awareness and climate resilience ๐ฑ. As a vice-chair of the Zhuhai Study Travel Association ๐งญ and policy adviser for the Taiwan Democratic Self-Government League ๐๏ธ, she influences educational and political sectors. Her editorial board roles ๐ and international speeches ๐ค, such as at the UNESCO Touch China Expo, demonstrate leadership in academic outreach and global engagement. Her professional path reflects a seamless blend of scholarship, diplomacy, and policy-making ๐งฉ.
๐น Research Focus Category
Prof. Zhuโs research centers on information dissemination in complex networks ๐, with a strong interdisciplinary focus combining communication, behavioral science, and computational modeling ๐ง ๐. Her studies explore how individual decisions and group behaviors evolve ๐งโโ๏ธโก๏ธ๐ฅ and how public opinion spreads across cultural contexts ๐. This includes crisis communication, misinformation control ๐จ, and strategic intervention during public emergencies. Her work fits within Computational Social Science, Information Science, Public Policy, and Risk Communication ๐งฎ๐ข. By applying her findings to real-world policies and educational structures, she bridges the gap between theory and societal impact ๐ฏ.
๐น Awards & Honors
๐ Awards & Honors
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๐ 2018: 3rd Prize โ Hebei Social Science Achievement Award for monograph on misinformation
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๐ 2016: Outstanding Young Talent โ Heilongjiang Province
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๐ง 2015: Selected โ โ3-3-3 Talent Projectโ in Hebei Province
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๐งฉ 2014: 3rd Prize โ Qinhuangdao Social Science Award for SME innovation strategy
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๐ฅ 2011: 1st Prize โ Science and Technology Progress Award, Heilongjiang Province
Publication Top Notes
๐ A Three-Level Meta-Frontier Framework with Machine Learning Projections for Carbon Emission Efficiency Analysis: Heterogeneity Decomposition and Policy Implications
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Authors: Xiaoxia Zhu, Tongyue Feng, Yuhe Shen, Ning Zhang, Xu Guo
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Journal: Mathematics
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Publication Date: May 7, 2025
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DOI: 10.3390/math13091542
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Summary: This study introduces a three-level meta-frontier framework enhanced with machine learning techniques to analyze carbon emission efficiency. It addresses dual heterogeneity arising from regional disparities and industrial diversification. The framework employs reinforcement learning and graph neural networks to optimize projection methods, ensuring accurate technology gap ratios. Empirical analysis of 60 countries provides policy insights for decarbonization strategies.
๐ Hydrological Layered Dialysis Research on Supply Chain Financial Risk Prediction under Big Data Scenario
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Authors: Jia Liu, Shiyong Li, Xiaoxia Zhu
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Journal: Discrete Dynamics in Nature and Society
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Publication Date: October 8, 2018
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DOI: 10.1155/2018/3259858
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Summary: This paper proposes a novel approach to predict financial risks in supply chain finance using a hydrological layered dialysis model under big data scenarios. By constructing a “hydrological database” and employing models like the water circle, surface runoff, and underground runoff, the study provides a comprehensive framework for risk identification and prediction in supply chain finance.
Conclusion
Prof. Zhu Xiaoxia’s distinguished profile, grounded in cutting-edge interdisciplinary research, international collaboration, and evidence-based policy advisory, makes her an ideal recipient of the Best Researcher Award. Her ability to transform complex theoretical models into actionable insights for governance, risk communication, and education reflects both scholarly brilliance and societal commitment.