Abstract: Based on keyword search on "flooding" and "risk assessment", a total of 2,783 urban flooding and risk assessment research papers from 1991 to 2023, were retrieved from the China National Knowledge Infrastructure (CNKI) database and the Web of Science core database. Using Bibliometric method such as word frequency analysis, co-citation analysis, and cluster analysis, thus data analysis and graph drawing are achieved with R language's Bibliometrix package. The results show that domestic and international research on urban flood risk assessment has experienced rapid growth in the past decade. Although Chinese-language papers started later than English-language papers, domestic research institutions have the highestnumber of publications in the English-language papers. Simultaneously, the number of floods in Chinese cities ranks first in the world, reflecting the severe impact of urban floods in China and has gradually become a research hotspot drawing attention from numerous scholars. Geographic Information System (GIS) is an important technical tool used in flood risk assessment research, and machine learning and remote sensing technologies are widely applied in international research, which domestic studies can learn from and emulate. English-language research focus on disaster loss curves, vulnerability indicator systems, and multi-criteria comprehensive flood risk analysis, while Chinese-language research currently concentrates on the identification of risk zones based on hydrological and hydraulic models. In the future, with the gradual improvement of sponge cities and flood control projects, comprehensive flood risk assessment for climate change and resilient city planning may become a new research hotspot.