Indexed by:
Abstract:
Environmental engineering is confronted with new challenges and prospects. It necessitates a shift in the paradigm of scientific research, and transcending the disciplinary confinement of end-management as the primary objective. This shift is crucial for enabling environmental engineering to play a more pivotal role in addressing global ecological and environmental challenges. On the other hand, artificial intelligence (AI) stands as one of today's innovative technologies, with its application in environmental engineering marking a pivotal direction for future innovation. This study employed bibliometric methods to sift through an extensive collection of over 24 000 papers related to AI and environmental engineering, spanning from 1990 to 2023. It analyzed the prominent institutions globally involved in this field, illustrated the current research directions of AI in environmental engineering, and discussed the evolution and future trends of research hotspots. Additionally, the potential challenges were also raised. Consequently, this study aims to provide suggestions and insights for the research and development of AI in environmental engineering, facilitating the rapid advancement of China's environmental engineering disciplines. © 2024 Science Press. All rights reserved.
Keyword:
Reprint 's Address:
Email:
Source :
Chinese Journal of Environmental Engineering
ISSN: 1673-9108
Year: 2024
Issue: 11
Volume: 18
Page: 3049-3058
Cited Count:
SCOPUS Cited Count:
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 1
Affiliated Colleges: