Non-coding RNA (ncRNA) is a class of RNA molecules transcribed from the genome that do not encode proteins, encompassing various types such as microRNA (miRNA) and long non-coding RNA (lncRNA). These RNAs play pivotal regulatory roles in gene expression, cellular development, and the onset and progression of diseases, and are considered as novel potential drug targets. Small molecule drugs, as key methods of clinical treatment, exert therapeutic effects by interacting with specific targets and play a crucial role in the treatment of various complex diseases. Leveraging intelligent computing methods to predict the potential associations between ncRNAs and small molecule drugs is of significant importance for developing novel drugs, expanding therapeutic strategies, and elucidating biological mechanisms. This article reviews the research progress on intelligent computing methods for predicting the associations between ncRNAs and small molecule drugs, and provides insights into their future development directions.