Abstract

Objective: To study the key areas and emerging trends in AI research in biosynthesis. Methods The Web of Science Core Collection's Science Citation Index Expanded was the source of the research literature on AI in biosynthesis. To learn more about publishing years, countries/regions, journals, institutions, citations, and keywords, this data was studied. The online analytic platform's CiteSpace tools and VOSviewer library were used to create co-occurrence network graphs. Results 44 pertinent research publications from various nations were chosen in total. Every year since 1998, the quantity of pertinent articles has grown dramatically. With 96.76% of the total, the three nations with the most publications were the USA (n = 25.7%), the UK (n = 8.58%), and China (n = 11.43%). The two journals with the most articles were IEEE Access (n = 97, 18.44%) and Multimedia Tools and Applications (n = 61, 11.59%). The three universities with the most publications were Capital Medical University (n = 7.21%), Nankai University (n = 11.26%), and Chinese Academy of Sciences (n = 7.66%). Through keyword analysis, we discovered that the primary subjects of the current study are biosynthesis and biomanufacturing. Conclusions The study found important areas of attention and new developments in AI for biomanufacturing diagnostics and its uses, indicating that AI will become more and more important in this sector going forward.