A deep learning interpretable model for river dissolved oxygen multi-step and interval prediction based on multi-source data fusion
Most Cited Paper
in Hydrology and Watershed Management Studies
18 Months Post-Publication
Class of 2026
“A deep learning interpretable model for river dissolved oxygen multi-step and interval prediction based on multi-source data fusion”
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Topics
dissolved oxygen prediction · Data fusion · Variational mode decomposition · Improved Sparrow Search Algorithm · Attention mechanism · Gated Recurrent Unit · Multistep forecasting · interval prediction · Nash-Sutcliffe efficiency · Diebold Mariano test · mode decomposition · sub-sequence prediction · Explainable artificial intelligence · river water quality monitoring · time series decomposition · hyperparameter optimization
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Hydrology and Watershed Management Studies Papers, Class of 2026. https://pri.pepkio.com/top-papers/hydrology-and-watershed-management-studies/2026. Accessed 2026-07-29. Methodology Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459