Machine learning-based global trends and the development prospects of wastewater treatment: A bibliometric analysis-Reference-Cited by-同舟云学术

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Machine learning-based global trends and the development prospects of wastewater treatment: A bibliometric analysis

Published:2024-06 Issue:3 Volume:12 Page:112732
ISSN:2213-3437
Container-title:Journal of Environmental Chemical Engineering
language:en
Short-container-title:Journal of Environmental Chemical Engineering

Author:

Xia Libo,Hao Xiaoxuan,Zhou Yun

Funder

National Natural Science Foundation of China

Huazhong Agricultural University

Publisher

Elsevier BV

Reference55 articles.

1. Machine learning-based predominant driving factors impacting urban industrial wastewater discharge in the Yellow River Basin;Xia,2023

2. The role of deep learning in urban water management: A critical review;Fu;Water Res.,2022

3. Machine learning in natural and engineered water systems;Huang;Water Res.,2021

4. Machine learning: new ideas and tools in environmental science and engineering;Zhong;Environ. Sci. Technol.,2021

5. Data analytics for environmental science and engineering research;Gupta;Environ. Sci. Technol.,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial intelligence in wastewater treatment: Research trends and future perspectives through bibliometric analysis;Case Studies in Chemical and Environmental Engineering;2024-12

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