Neural engineering, an emerging interdisciplinary subject, is aimed at using engineering techniques to investigate the function and manipulate the behavior of the nervous system. The development of technology along with the advancement in Science helps to apply increasing multimodal research into the field of neural engineering, which has promoted the development of neural engineering. In this paper, a bibliometric analysis of 808 articles in Web of Science from 2003 to 2019 was conducted to determine the current status and future trends of multimodal neural engineering study. This paper conducted a five-step bibliometric analysis based on the proposed multimodal neural engineering research framework (NE-MUL). The results showed that in the past 17 years, multimodal research not only made great contributions to the development of neural engineering, but also brought this field a series of new problems (multimodal fusion, recurrent multimodal learning, multimodal convolutional network, etc.) This paper generated a map of existing research findings with their relationship and provided future researchers with meaningful suggestions and assistance.

ñ神经工程学是一门新兴的交叉学科，旨在利用工程学技术来研究神经系统的功能和操纵其行为。技术的发展以及科学的进步有助于将越来越多的多模式研究应用于神经工程领域，从而促进了神经工程的发展。本文对2003年至2019年Web of Science中的808篇文章进行了文献计量分析，以确定多峰神经工程研究的现状和未来趋势。本文基于提出的多峰神经工程研究框架（NE-MUL）进行了五步文献计量分析。结果表明，在过去的17年中，多模式研究不仅为神经工程的发展做出了巨大贡献，