Abstract: The massive growth of soil environmental data and rapid development of artificial intelligence technology have brought new ideas and opportunities to soil environmental research. This study reviewed the status and progress of research focused on the application of intelligent data mining (IDM) technologies in the field of soil environmental science. Visualized analysis was conducted on relevant literature up to 2021 from CNKI and Web of Science based on bibliometrics method and knowledge graph. The results showed that studies related to application of IDM technologies in soil environmental field commenced around 2000 and were in the stage of exponential growth. Chinese scholars have made significant contributions in this field as one of the most important research groups in the world. The knowledge graphs of literature indicated that prediction and assessment of soil pollution and mapping of soil organic carbon are two major research topics in the field of soil environmental data mining. Chinese scholars play a leading role in research related to IDM technologies in soil pollution source identification, as well as site soil pollution assessment and remediation decision aids. Although still faced with various challenges such as data isolation, data privacy threatening and model untransparent nature, IDM technologies will bring about profound influence on soil environment monitoring, evaluation, prediction and management in the future.