Artificial intelligence is the core driver of the next generation of industrial change. It is an important method to comprehensively improve digitalization, automation, informatization, and intelligence in the field of civil engineering. To gain a comprehensive understanding of the development and application of artificial intelligence in civil engineering. The basic research areas of artificial intelligence are analyzed qualitatively. The current research status of artificial intelligence in civil engineering design, manufacturing, and maintenance phases is quantitatively analyzed. The CiteSpace visualization tool is used to dig deeper into the problems, development bottlenecks, and research trends of artificial intelligence in civil engineering, and give corresponding solutions and research ideas. The review of the literature found that a significant amount of artificial intelligence research has been conducted in the field of civil engineering. However the development of intelligence has been uneven at various stages, and there are limitations in practical applications. Therefore, it is necessary to deeply explore the cross-integration of intelligent technologies such as neural networks, big data, and deep learning in the full life cycle of civil engineering. To promote the synergistic development of artificial intelligence research in the field of civil engineering.