Standout Papers

From Hydrometeorology to River Water Quality: Can a Deep Learning Model Predict Dissolved Oxygen at the Continent... 2021 2026 2022 2024188
  1. From Hydrometeorology to River Water Quality: Can a Deep Learning Model Predict Dissolved Oxygen at the Continental Scale? (2021)
    Wei Zhi, Dapeng Feng et al. Environmental Science & Technology

Immediate Impact

3 from Science/Nature 35 standout
Sub-graph 1 of 13

Citing Papers

Spatio-temporal deep learning model for accurate streamflow prediction with multi-source data fusion
2024 Standout
A deep learning interpretable model for river dissolved oxygen multi-step and interval prediction based on multi-source data fusion
2024 Standout
2 intermediate papers

Works of Gary Sterle being referenced

From Hydrometeorology to River Water Quality: Can a Deep Learning Model Predict Dissolved Oxygen at the Continental Scale?
2021 Standout

Author Peers

Author Last Decade Papers Cites
Gary Sterle 171 313 98 199 11 472
Carl W. Chen 239 250 96 184 26 556
Xikang Hou 192 188 63 116 22 552
Gretchen P. Oelsner 299 307 81 109 16 563
Péter Tanos 82 258 53 138 20 448
Bjørn Studer 219 237 141 139 14 549
Caroline A. Davis 184 189 45 92 11 454
Philip Rowland 205 222 85 77 13 485
K. M. Hiscock 133 251 218 161 15 458
Hong Shen 112 224 51 70 16 445
Nathaniel L. Booth 122 184 27 151 11 475

All Works

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2026