Hotspots and Current Status of Global Explainable Artificial Intelligence: A Bibliometric Analysis
Zheng Qiu, Yuhao Qin · 2024
This study presents a comprehensive bibliometric analysis of global research on Explainable Artificial Intelligence (XAI) from 2020 to 2024. By utilizing tools such as CiteSpace and VOSviewer, the study uncovers emerging trends, leading contributing countries, key scholars, and core research areas within the XAI field. Co-citation analysis reveals the foundational literature shaping the field, further categorizing research into different directions, such as interpretable machine learning and interpretable deep learning, providing researchers with a valuable roadmap for further study. Additionally, keyword co-occurrence analysis highlights significant research focuses in XAI, including goals, applications, and key technologies. These analyses not only reflect the growing academic interest in XAI but also offer valuable insights for future research, helping to guide researchers in further exploring and deepening the practical applications of XAI.