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<p>This study examines 5457 Web of Science publications (1994–2024) to map the development of global painting art research. Using a newly designed bibliometric framework (PDU) and knowledge visualization, it reveals patterns of knowledge distribution, collaborative structures, major research themes, and evolutionary shifts from material analysis toward multi-layered diagnostic and micro-analytical approaches, underscoring the role of cross-disciplinary integration in shaping methodological and interpretive developments.</p>

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Bibliometric analysis of knowledge structures and evolution in global painting art from 1994 to 2024

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年1月24日

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  • Jinyu Lan,
  • Chengxi Yan

摘要

This study examines 5457 Web of Science publications (1994–2024) to map the development of global painting art research. Using a newly designed bibliometric framework (PDU) and knowledge visualization, it reveals patterns of knowledge distribution, collaborative structures, major research themes, and evolutionary shifts from material analysis toward multi-layered diagnostic and micro-analytical approaches, underscoring the role of cross-disciplinary integration in shaping methodological and interpretive developments.