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This paper uses CiteSpace software to conduct text mining and visual analysis of 744 academic papers related to funding forecasts in the CNKI database in the past 20 years, sort out the literature time, journals, authors, and institutions of funding forecasts, and use keywords co-occurrence and subject terms Clustering and other methods reveal the current research status and evolutionary laws of funding forecasting, hoping to provide reference and reference for the selection of other types of funding forecasting methods.

Based on CiteSpace Knowledge GraphAnalysis of the Status Quo of Research on Expenditure Forecast