Evolution of Engineering Research Trends (2005–2024): A Bibliometric and Network-Based Study
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This study explores the evolution of engineering research from 2005 to 2024 using bibliometric and network-based methods. From 19,994 articles retrieved from the Web of Science, 19,552 were analyzed after refinement. Biblioshiny and Python were used for keyword co-occurrence, thematic clustering, and collaboration network analysis. Results show an approximately 87% increase in annual publication volume after 2017, with themes shifting from computational modeling to AI-driven and sustainability-focused topics. China, the U.S., and several European countries were key contributors, with China leading global collaboration. Findings reveal an increasingly interdisciplinary and internationally connected research landscape. The study also provides implications for English for Specific Purposes (ESP) by identifying evolving discourse patterns relevant to STEM education. These patterns, drawn from large-scale engineering abstracts, can inform the development of ESP curricula that reflect authentic disciplinary discourse and support learners in navigating field-specific communication.
Abstract
This study explores the evolution of engineering research from 2005 to 2024 using bibliometric and network-based methods. From 19,994 articles retrieved from the Web of Science, 19,552 were analyzed after refinement. Biblioshiny and Python were used for keyword co-occurrence, thematic clustering, and collaboration network analysis. Results show an approximately 87% increase in annual publication volume after 2017, with themes shifting from computational modeling to AI-driven and sustainability-focused topics. China, the U.S., and several European countries were key contributors, with China leading global collaboration. Findings reveal an increasingly interdisciplinary and internationally connected research landscape. The study also provides implications for English for Specific Purposes (ESP) by identifying evolving discourse patterns relevant to STEM education. These patterns, drawn from large-scale engineering abstracts, can inform the development of ESP curricula that reflect authentic disciplinary discourse and support learners in navigating field-specific communication.