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Vibration Energy Harvesting: A Bibliometric Analysis of Research Trends and Challenges

  • Helal Al-Quaishi,
  • Caijiang Lu,
  • W. K. Alani

摘要

Purpose

To present a comprehensive bibliometric analysis of vibration energy harvesting (VEH) research from 2005 to 2022.

Methodology

Utilizing VOSviewer, CiteSpace, Bibliometrix, and Excel for bibliometric and science mapping analysis on a dataset of 284 publications from the Web of Science Core Collection Database.

Findings

China leads in productivity and influence in VEH research, followed by the United States. Key trends include the integration of machine learning and artificial intelligence to enhance VEH device efficiency.

Implications

Provides insights into the evolution of VEH research, identifies research frontiers, and suggests critical sub-domains for future research. Encourages researchers to consider various perspectives within the field.

Originality/Value

Offers a holistic view and critical assessment of global VEH research, highlighting significant contributions, emerging topics, and future challenges.