Applicability and Trend of the Artificial Intelligence (AI) on Bioenergy Research between 1991-2021: A Bibliometric Analysis

The bibliometric analysis investigated the impact of publications on trends in the literature and bioenergy research using artificial intelligence (AI) from 1991 to 2021. In this study, 1721 publications were extracted from the Web of Science, and an analysis of the countries, authorship, institutions, journals, and keywords was visualised. In the recent decades, this field has entered an outbreak phase. India was the most productive country in this area, followed by China, Iran, and the US. It also noted several notable differences between trends and subjects in developed and developing countries. The former led this field at the initial stage and later attached importance to using AI for research feedstock and impact assessment. Developing countries encouraged the advancement of this area and emphasised the feedstock usage of phase treatment and process optimisation. In addition, a co-authorship and institutes study revealed that authors and institutes in distant regions rarely collaborated. The journal analysis shows strong links between Energy, Fuel, and Energy Conversion and Management. Machine learning is by far the most common application of artificial intelligence (AI) technology in bioenergy research, with 53% of the articles using it. In these AI-related publications, the keyword artificial neural network (ANN) appeared most frequently in the articles.

Automated summary

This study conducted a bibliometric analysis of the impact of publications on trends in literature and bioenergy research using artificial intelligence (AI) from 1991 to 2021. A total of 1721 publications were analyzed, and the countries, authorship, institutions, journals, and keywords were visualized. The findings revealed that India was the most productive country in this field, followed by China, Iran, and the US. Developed and developing countries showed notable differences in trends and subjects. Machine learning was the most common application of AI technology in bioenergy research.