Abstract
Utilizing CiteSpace, the research provides a detailed visual and quantitative analysis of Chekhov’s literature-related documents from the Scopus database, spanning the period from 2014 to 2023. The research highlights significant trends and research hotspots in Chekhov literature, reflecting a substantial increase in scholarly activity and global interest over the past decade. Key findings reveal that the primary focus of research is on Chekhov’s literary themes, his impact on Russian and international literature, and comparative studies with other prominent literary figures. The analysis identifies leading countries and institutions in this field, with Russia, the United States, and the United Kingdom emerging as major contributors. Furthermore, the study emphasizes the growing role of advanced technological tools such as deep learning and neural networks in analyzing Chekhov’s works. These technological advancements facilitate deeper insights into Chekhov’s literature and offer innovative approaches for educational technology. The integration of these tools can enhance the analysis of thematic and emotional elements in literary texts, support the development of interactive and immersive educational modules, and provide new ways to engage students with Chekhov’s works. This study not only sheds light on the developmental trajectory of Chekhov’s literary research but also suggests practical applications for educational technology, aiming to enrich the understanding and appreciation of Chekhov’s contributions to world literature and integrate them into modern pedagogical practices.