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Jie Ruan

Biographic Data

ID6536696
NAMEJie Ruan
GIVEN NAMESJie
FAMILY NAMERuan
SIGNATURERUAN J
AFFILIATIONSPeking University, Wangxuan Institute of Computer Technology. [email protected]
ORCID0009-0006-9277-9534
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS1
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Four Dimensions for Understanding China: Region, Ethnicity, Culture and State

    Open Access•Jingbo Luo, Xi Tang et al.•ARTICLE•Journal of Sociology and Ethnology•2026

    With the in-depth advancement of globalization, China, as a super-large country with a long history, profound cultural heritage, and distinct national characteristics, often faces the challenge and risk of being interpreted through a one-sided lens. This article approaches the analysis from three fundamental elements of a modern state: sovereignty, territory, and people. It explores the rich connotations of China from four key dimensions: territo…

  • Developing Artificial Intelligence Literacy Through Mixed Unplugged and Plugged-in Activities in Primary Education

    Open Access•Jie Ruan, Hongliang Ma et al.•ARTICLE•SAGE Open•2025

    Artificial Intelligence (AI) education has become increasingly important as it is a key component of digital literacy that everyone should possess. However, this domain remains largely unexplored, especially at the primary school level. The purpose of this study is to examine whether combined unplugged and plugged-in activities can be more effective than solely plugged-in activities in enhancing AI literacy among primary school students. A repeat…

  • Efficacy and safety of Angong Niuhuang Pill in patients with acute ischemic stroke: A pilot randomized clinical trial

    Open Access•Yongji Zhou, Wenqing Xia et al.•ARTICLE•Journal of Ethnopharmacology•2025

  • LLM-based NLG Evaluation: Current Status and Challenges

    Open Access•Mingqi Gao, Xinyu Hu et al.•ARTICLE•Computational Linguistics•2025•Cited by: 1•References: 2

    Evaluating natural language generation (NLG) is a vital but challenging problem in natural language processing. Traditional evaluation metrics mainly capturing content (e.g., n-gram) overlap between system outputs and references are far from satisfactory, and large language models (LLMs) such as ChatGPT have demonstrated great potential in NLG evaluation in recent years. Various automatic evaluation methods based on LLMs have been proposed, inclu…

  • LLM-based NLG Evaluation: Current Status and Challenges

    Open Access•Mingqi Gao, Xinyu Hu et al.•ARTICLE•Computational Linguistics•2025•Cited by: 1•References: 2

    Evaluating natural language generation (NLG) is a vital but challenging problem in natural language processing. Traditional evaluation metrics mainly capturing content (e.g., n-gram) overlap between system outputs and references are far from satisfactory, and large language models (LLMs) such as ChatGPT have demonstrated great potential in NLG evaluation in recent years. Various automatic evaluation methods based on LLMs have been proposed, inclu…

  • Developing Artificial Intelligence Literacy Through Mixed Unplugged and Plugged-in Activities in Primary Education

    Open Access•Jie Ruan, Hongliang Ma et al.•ARTICLE•SAGE Open•2025

    Artificial Intelligence (AI) education has become increasingly important as it is a key component of digital literacy that everyone should possess. However, this domain remains largely unexplored, especially at the primary school level. The purpose of this study is to examine whether combined unplugged and plugged-in activities can be more effective than solely plugged-in activities in enhancing AI literacy among primary school students. A repeat…

  • Efficacy and safety of Angong Niuhuang Pill in patients with acute ischemic stroke: A pilot randomized clinical trial

    Open Access•Yongji Zhou, Wenqing Xia et al.•ARTICLE•Journal of Ethnopharmacology•2025

  • LLM-based NLG Evaluation: Current Status and Challenges

    Open Access•Mingqi Gao, Xinyu Hu et al.•ARTICLE•Computational Linguistics•2025•Cited by: 1•References: 2

    Evaluating natural language generation (NLG) is a vital but challenging problem in natural language processing. Traditional evaluation metrics mainly capturing content (e.g., n-gram) overlap between system outputs and references are far from satisfactory, and large language models (LLMs) such as ChatGPT have demonstrated great potential in NLG evaluation in recent years. Various automatic evaluation methods based on LLMs have been proposed, inclu…

  • Four Dimensions for Understanding China: Region, Ethnicity, Culture and State

    Open Access•Jingbo Luo, Xi Tang et al.•ARTICLE•Journal of Sociology and Ethnology•2026

    With the in-depth advancement of globalization, China, as a super-large country with a long history, profound cultural heritage, and distinct national characteristics, often faces the challenge and risk of being interpreted through a one-sided lens. This article approaches the analysis from three fundamental elements of a modern state: sovereignty, territory, and people. It explores the rich connotations of China from four key dimensions: territo…

Acute Ischemic Stroke Management (1 works) · China (1 works) · China's Ethnic Minorities and Relations (1 works) · China's Socioeconomic Reforms and Governance (1 works) · Chinese history and philosophy (1 works) · Clinical trial (1 works) · Computer Science (1 works) · Constructive (1 works) · Current (fluid (1 works) · Data science (1 works)

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