Standout Papers

Forecasting monthly gas field production based on the CNN-LSTM model 2022 2026 2023 2024190
  1. Forecasting monthly gas field production based on the CNN-LSTM model (2022)
    Wenshu Zha, Yuping Liu et al. Energy

Citation Impact

38 standout
Sub-graph 1 of 17

Citing Papers

A performance degradation prediction model for PEMFC based on bi-directional long short-term memory and multi-head self-attention mechanism
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Artificial intelligence-based prediction of hydrogen adsorption in various kerogen types: Implications for underground hydrogen storage and cleaner production
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2 intermediate papers

Works of Yujin Wan being referenced

Forecasting monthly gas field production based on the CNN-LSTM model
2022 Standout
Experimental study and isotherm models of water vapor adsorption in shale rocks
2018

Author Peers

Author Ocean Engineering Mechanical Engineering MM Last Decade Papers Cites
Yujin Wan 330 326 328 24 601
W. J. van Son 22 699
L. Xue 339 78 14 391
Zixin He 2 38 15 13 392
I Esteban-Redondo 10 739
Nicole F. Vélez 19 404

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2026