<p>This paper will provide important theoretical references for understanding auditory attention detection, solving attention disorders and developing intelligent assistive technologies. In order to deeply analyze the research status and development trend of auditory attention detection, this paper used Web of science core database to search the relevant literatures on auditory attention detection (2016–2023,323 articles), and drew the keyword co-occurrence map based on the visualization tool VOS viewer software. The current key techniques and models of EEG and auditory attention detection are further discussed. The results showed that the number of EEG auditory attention test papers showed a typical linear increase, and the United States, Germany, China and the United Kingdom were the countries with the largest number of auditory attention test papers, widely involving computer science, engineering and psychology. Current research focuses on how to carry out feature extraction, model optimization and noise interference processing, and propose solutions to these problems.</p>