Standout Papers

Developing a Long Short-Term Memory (LSTM) based model for predicting water table depth in agricultural ... 2018 2026 2020 2023 523
  1. Developing a Long Short-Term Memory (LSTM) based model for predicting water table depth in agricultural areas (2018)
    Jianfeng Zhang, Yan Zhu et al. Journal of Hydrology

Immediate Impact

63 standout
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Citing Papers

Predicting Chlorophyll-a Concentrations in the World’s Largest Lakes Using Kolmogorov-Arnold Networks
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Prediction of nitrate concentration and the impact of land use types on groundwater in the Nansi Lake Basin
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3 intermediate papers

Works of Xiaoping Zhang being referenced

Developing a Long Short-Term Memory (LSTM) based model for predicting water table depth in agricultural areas
2018 Standout

Author Peers

Author Last Decade Papers Cites
Xiaoping Zhang 399 68 58 270 267 21 721
Mustafa Tombul 407 35 114 307 305 28 737
Steven F. Ashby 220 248 60 165 92 15 746
Dingfang Li 76 23 60 205 191 33 702
Lin Qiu 147 90 22 102 92 53 671
Juliane Müller 156 23 21 110 80 27 832
Chih‐Chieh Young 242 34 219 242 240 34 651
Murat Alp 381 6 33 295 125 26 686
Sangchul Lee 113 45 27 216 141 74 756
Gürhan Gürarslan 132 140 13 187 148 33 693
Tienfuan Kerh 273 22 31 152 239 41 608

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2026