Computational thinking (CT) has emerged as a foundational skill for young learners, preparing them to navigate and contribute to an increasingly digital world. This bibliometric analysis utilizes 374 articles from the Web of Science database to explore the research landscape surrounding CT in children's learning, focusing on its applications in language acquisition and cognitive development. Using co-citation and keyword co-occurrence analyses, the study identifies key thematic clusters, including CT's integration into curricula, its role in enhancing critical thinking, and its social-emotional benefits. Findings suggest that CT holds significant potential in advancing equitable and inclusive education, aligning with Sustainable Development Goal (SDG) 4 by promoting accessible, high-quality learning experiences. Furthermore, CT's interactive and problem-solving methodologies, such as coding exercises and robotics, actively engage children and encourage collaborative learning, directly supporting SDG 10 by reducing educational inequalities across diverse learning environments. This analysis not only highlights CT's transformative impact on traditional educational practices but also reveals critical research gaps, particularly in the areas of inclusivity and accessibility. Future research is encouraged to investigate these areas further, advancing sustainable educational strategies that equip children with essential skills for a rapidly evolving technological landscape, thus fostering resilience, adaptability, and creativity among young learners.