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Research status and progress analysis of runoff inversion retrieval based on CiteSpace
Research status and progress analysis of runoff inversion retrieval based on CiteSpace
- “Based on CiteSpace analysis of 1726 literature from 2000 to 2023, "Direction 5 (training deep learning models to invert runoff based on long-term data series) has seen the most significant increase in publication volume, and since 2019, the publication volume has far exceeded other directions, becoming a hot research topic in the field of remote sensing inversion of runoff." This has opened up a new direction for the intelligent development of hydrological monitoring.”
- Journal of China Agricultural University Vol. 31, Issue 2, Pages: 129-140(2026)
DOI: 10.11841/j.issn.1007-4333.2026.02.11
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