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author:

Yang, J. (Yang, J..) [1] | Zhang, M. (Zhang, M..) [2] | Zhu, L. (Zhu, L..) [3] | Zhang, W. (Zhang, W..) [4] | Xu, M. (Xu, M..) [5] | Wang, D. (Wang, D..) [6] | Yu, H. (Yu, H..) [7] | Wang, H. (Wang, H..) [8] | Wu, M. (Wu, M..) [9] (Scholars:吴明红) | Ren, H. (Ren, H..) [10]

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Scopus

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:

artificial intelligence challenges environmental engineering research directions trend analysis

Community:

  • [ 1 ] [Yang J.]Department of Engineering and Material Science, National Natural Science Foundation of China, Beijing, 100085, China
  • [ 2 ] [Zhang M.]College of Environmental and Resources Sciences, Zhejiang University, Hangzhou, 310058, China
  • [ 3 ] [Zhu L.]College of Environmental and Resources Sciences, Zhejiang University, Hangzhou, 310058, China
  • [ 4 ] [Zhang W.]National Engineering Research Center of Industrial Wastewater Detoxication and Resource Recovery, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China
  • [ 5 ] [Xu M.]School of Environment, Tsinghua University, Beijing, 100084, China
  • [ 6 ] [Wang D.]College of Environmental and Resources Sciences, Zhejiang University, Hangzhou, 310058, China
  • [ 7 ] [Yu H.]Department of Environmental Sciences and Engineering, University of Science and Technology of China, Hefei, 230022, China
  • [ 8 ] [Wang H.]School of Resources and Environmental Engineering, East China University of Science and Technology, Shanghai, 200237, China
  • [ 9 ] [Wu M.]College of Environment and Safety Engineering, Fuzhou University, Fuzhou, 350108, China
  • [ 10 ] [Ren H.]State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, 210023, China

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Source :

Chinese Journal of Environmental Engineering

ISSN: 1673-9108

Year: 2024

Issue: 11

Volume: 18

Page: 3049-3058

Cited Count:

WoS CC 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

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