International Journal of Systems Science (IJSS) is an international journal in the fields of Automation & Control Systems, Computer Science, and Operations Research & Management Science. This paper is a celebration of the 50th anniversary of IJSS. A Web of Science count of 7528 documents were derived from 1970 to 2019 as data sources for the bibliometric analysis. First, the fundamental characteristics of the documents were identified from the bibliometric indicators, and features of keywords were revealed over the half century. A timeline and occurrence analyses were conducted via the software tools, through which popular keywords were visualised in different time periods. These were then grouped into four categories by a hierarchical clustering method, and emerging keywords were selected using burst detection analysis. This was followed by the Autoregressive Integrated Moving Average modelling to predict the future research trends in the four clusters as evidenced in the historical data. Documents were discussed in the recent 20 years towards guiding scholars in three aspects, i.e. problems addressed, popular methodologies, and impact in the relevant fields. Finally, a summary of the main findings was given in the conclusions.

国际系统科学期刊（IJSS）是自动化与控制系统，计算机科学以及运筹学与管理科学领域的国际期刊。本文是对IJSS成立50周年的庆祝活动。从1970年到2019年，Web of Science计数了7528份文献，作为文献计量分析的数据源。首先，从文献计量学指标中确定了文档的基本特征，并在半个世纪中揭示了关键字的特征。通过软件工具进行了时间表和发生率分析，通过该工具可以在不同的时间段显示流行的关键字。然后通过层次聚类方法将它们分为四类，并使用突发检测分析选择出现的关键字。随后是自回归综合移动平均线模型，以预测历史数据所证明的四个集群的未来研究趋势。最近20年来，人们从三个方面对文献进行了讨论，以指导学者们。解决的问题，流行的方法以及对相关领域的影响。最后，结论中总结了主要发现。