Development and Future Perspectives of Air Pollution Research Using Artificial Intelligence-Based Methods: A Bibliometric Review

Urbanization, energy consumption, industrialization, and population growth, along with air pollution and the decline in air quality, pose a serious threat to public health and the environment. The detection and management of pollutants have become urgent global concerns, underscoring the growing significance of artificial intelligence (AI)-based methods in air pollution research. This study presents a thorough review of the evolution of key themes in AI-driven air pollution research from 2004 to 2024, highlighting areas for future investigation. Through bibliometric and citation analyses, the study systematically examines the literature, revealing an exponential growth in AI applications in air pollution research over time. The findings indicate that after 2014, AI-based methods have led to a paradigm shift, playing a critical role in air pollution forecasting and modeling. At the same time, the study reveals that interdisciplinary collaboration trends are strengthening and that AI-based approaches not only offer innovative solutions but also serve as a transformative force shaping the evolution of the literature. This analysis provides valuable insights into the current state of air pollution research and presents guidance for future directions, emphasizing the need for broader and more effective integration of AI techniques in this area.

Abstract licence: CC BY-NC-ND

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