Cloud Computing Review: A Decade of Research

2026-05-23

AI Summary

This study addresses the lack of systematic scientometric analysis in cloud computing research, which has hindered a comprehensive understanding of its knowledge structure and evolutionary trends. Drawing on publications from the Web of Science Core Collection between 2014 and 2023, this work presents the first comprehensive scientometric review of the field. Using CiteSpace, the authors construct collaboration networks among authors, institutions, and countries, as well as co-citation networks, and apply clustering and knowledge mapping techniques to uncover research hotspots, core contributors, and thematic evolution trajectories. The analysis identifies highly productive entities and key journals, clarifies the intellectual landscape of cloud computing research, and provides an empirical foundation and theoretical guidance for future scholarly inquiry and international collaboration.

Abstract

The popularity and rapid development of Cloud Computing in recent years has led to a vast number of publications capturing the accumulated knowledge in this field. Due to the interdisciplinary nature and significant relevance of cloud computing research, it has become increasingly challenging to comprehend the overall structure and progress of this field without employing analytical methods. While the evaluation of scientific research has a long tradition in many fields, we have identified a lack of comprehensive scientometric studies specifically focused on cloud computing. This study applies scientometric techniques to empirically examine cloud computing research evolution and current state from a macroscopic perspective. We employed the CiteSpace tool for visual analysis, exploring topics related to cloud computing by retrieving papers published between 2014 and 2023 from the Web of Science Core database. Our approach involved constructing collaboration networks among authors, institutions, and countries to pinpoint the most prolific contributors in each category. Through the analysis of core journal distributions via journal co-citations, document co-citation networks, and clustering analysis, we uncovered the underlying research topics and knowledge structure. The results of this study enhance our understanding of patterns, trends, and other critical factors, offering a foundation for guiding research activities, sharing knowledge, and fostering collaboration in the field of cloud computing research.

Problem

• Cloud Computing
• Scientometrics
• Research Evolution
• Knowledge Structure
• Bibliometric Analysis

Innovation

• scientometrics
• cloud computing
• CiteSpace
• co-citation analysis
• research trends