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.

翻译：近年来，云计算的普及与快速发展催生了大量文献，这些文献汇集了该领域的知识积累。由于云计算研究的跨学科性质及其重大相关性，若不采用分析方法，理解该领域的整体结构与进展已变得日益困难。尽管科学研究评估在许多领域已有悠久传统，但我们发现目前缺乏专门针对云计算的综合性科学计量学研究。本研究运用科学计量学技术，从宏观视角对云计算研究的演变历程与当前状况进行实证考察。我们借助CiteSpace工具进行可视化分析，通过检索Web of Science核心数据库中2014年至2023年间发表的论文，探索与云计算相关的主题。研究方法包括构建作者、机构及国家间的合作网络，以识别各类型中最具生产力的贡献者。通过期刊共引分析、文献共引网络及聚类分析探究核心期刊分布，我们揭示了潜在的研究主题与知识结构。本研究结果增进了对模式、趋势及其他关键因素的理解，为指导云计算研究领域的科研活动、知识共享及合作提供了基础。