This is a systematic review of Translator Translation Styles from 2013 to 2023, based on 16 highly relevant articles, which are included after searching a total of 193 articles in three databases using specific keywords. This review aims to investigate the current trends and development of the four core research elements, namely, the research topics, research approaches/tools, research objects, and research trends of Translator Translation Styles. Corpus-based research and computing technology have become the core research trends in this field. By taking the translated texts as the research objects and using a variety of research approaches to analyze and compile statistics on a large number of texts, researchers can accurately identify and compare the different emphases of their respective studies on Translator Translation Styles. At present, it seems that the research on Translator Translation Styles has established a system framework. However, it still needs to be optimized and improved in some aspects (e.g., the research objects are too limited and lack innovation in types), and future research can further explore those aspects. The present paper ends with some suggestions and recommendations for future researchers in academic contexts.
