This study reviewed 155 journal articles to examine how artificial intelligence techniques are being applied in textile coloration and related fields. Distribution of the reviewed articles was assessed in terms of the type of journals, year of publication, methods, and research background. Based on the citation network analysis method, an objective approach, CitNetExplorer and VOSviewer are used to identify the clusters. It is found that artificial intelligence techniques are mainly three-layer artificial neural networks with different designs, which are mainly used in textile wastewater decolorisation fields, including wastewater treatment and colour fading, such as colour prediction and real-time monitoring of textile wastewater, dye removal efficiency, and dye degradation. Finally, the future research direction and limitations of this article are put forward.

中文翻译：

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人工智能技术在纺织废水脱色领域的应用：系统和引文网络分析综述

本研究回顾了 155 篇期刊文章，以研究人工智能技术如何应用​​于纺织品着色及相关领域。根据期刊类型、出版年份、方法和研究背景评估了评论文章的分布。基于引文网络分析方法，一种客观的方法，CitNetExplorer和VOSviewer被用来识别聚类。发现人工智能技术主要是三层不同设计的人工神经网络，主要应用于纺织废水脱色领域，包括废水处理和褪色，如纺织废水的颜色预测和实时监测，染料去除效率和染料降解。最后，