Abstract: In the current era of digital intelligence, the data-intensive disciplinary paradigm has facilitated the rise of data- and computation-driven research in Science of Science (SoS). The increasing abundance of big data in sciences and powerful data analytics has brought unprecedented development opportunities and challenges to SoS. Based on a review of the domestic literature in the last five years in meta-research on SoS and theoretical SoS, the latest research progress in SoS is explored. It is found that the current domestic meta-research on SoS mainly focuses on the change of the research paradigm as well as the construction and development of the disciplines of SoS.The research paradigm of SoS in China goes through four stages: speculation, mathematical statistics, scientific knowledge mapping, and SoS under digital intelligence. In terms of construction and development of the disciplines, the discipline of SoS is now in the second spring, after the first spring, a cold winter, and the renaissance. Theoretical sciences research focuses on the law of scientific development,scientists' career, and the mode of scientific collaboration.For scientific development, the recombination and integration of knowledge units is one of the key drivers of scientific development and scientific innovation. The flourishing of scientific development and the emergence of new large-scale scientific achievements are necessary conditions. Regarding the scientists' career, there are three paths in domestic research: the portrayal and regularization of the academic rhythms of a scientist's life, the drawing of academic genealogy of scientists, and combing and summarizing scientists' thoughts. Domestic research on scientific collaboration can be divided into three areas: collaboration behavior, collaboration influencing factors, and collaboration network structure and evolution. When it comes to collaboration behavior, Chinese scientists are more cooperative-centric than foreign scientists. In terms of collaboration influencing factors, scientific cooperation has differences in individual attributes (gender, age, culture/ethnicity), address attributes (institution, geography, international collaboration), professional attributes (subject area, knowledge background), and relational attributes (cooperation members, cooperation network). In terms of collaboration network structure and evolution, there are weak, strong, and super-relationships among scientists. In the face of new development opportunities, the real problems that need to be solved in China's SoS research mainly include insufficient theoretical systems, insufficiently perfect big data infrastructure construction, and insufficiently mature research paradigms. With the arrival of the era of digital intelligence, China's SoS needs to return to the tradition of Bernard's science and achieve a breakthrough in the research paradigm. The development of SoS should change from discipline-oriented to problem- and demand-oriented, and continuously promote the high-quality development of society and economy.