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| Evaluation of CatBoost method for prediction of reference evapotranspiration in humid regions G Huang, L Wu, X Ma, W Zhang, J Fan, X Yu, W Zeng, H Zhou Journal of Hydrology 574, 1029-1041, 2019 | 378 | 2019 |
| Empirical and machine learning models for predicting daily global solar radiation from sunshine duration: A review and case study in China J Fan, L Wu, F Zhang, H Cai, W Zeng, X Wang, H Zou Renewable & Sustainable Energy Reviews 100, 186-212, 2019 | 273 | 2019 |
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| Climate change effects on reference crop evapotranspiration across different climatic zones of China during 1956–2015 J Fan, L Wu, F Zhang, Y Xiang, J Zheng Journal of Hydrology 542, 923-937, 2016 | 171 | 2016 |
| Hybrid support vector machines with heuristic algorithms for prediction of daily diffuse solar radiation in air-polluted regions J Fan, L Wu, X Ma, H Zhou, F Zhang Renewable Energy 145, 2034-2045, 2020 | 152 | 2020 |
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| Evaluation and development of temperature-based empirical models for estimating daily global solar radiation in humid regions J Fan, B Chen, L Wu, F Zhang, X Lu, Y Xiang Energy 144, 903-914, 2018 | 152 | 2018 |
| Estimation of daily maize transpiration using support vector machines, extreme gradient boosting, artificial and deep neural networks models J Fan, J Zheng, L Wu, F Zhang Agricultural Water Management 245, 106547, 2021 | 141 | 2021 |
| New combined models for estimating daily global solar radiation based on sunshine duration in humid regions: A case study in South China J Fan, X Wang, L Wu, F Zhang, H Bai, X Lu, Y Xiang Energy Conversion and Management 156, 618-625, 2018 | 137 | 2018 |
| Optimization of drip irrigation and fertilization regimes for high grain yield, crop water productivity and economic benefits of spring maize in Northwest China H Zou, J Fan, F Zhang, Y Xiang, L Wu, S Yan Agricultural Water Management 230, 105986, 2020 | 126 | 2020 |
| Daily reference evapotranspiration prediction based on hybridized extreme learning machine model with bio-inspired optimization algorithms: Application in contrasting climates … L Wu, H Zhou, X Ma, J Fan, F Zhang Journal of Hydrology 577, 123960, 2019 | 122 | 2019 |
| Potential of kernel-based nonlinear extension of Arps decline model and gradient boosting with categorical features support for predicting daily global solar radiation in humid … L Wu, G Huang, J Fan, F Zhang, X Wang, W Zeng Energy Conversion and Management 183, 280-295, 2019 | 115 | 2019 |
| Rainfall partitioning into throughfall, stemflow and interception loss by maize canopy on the semi-arid Loess Plateau of China J Zheng, J Fan, F Zhang, S Yan, Y Xiang Agricultural Water Management 195, 25-36, 2018 | 112 | 2018 |
| Hybrid extreme learning machine with meta-heuristic algorithms for monthly pan evaporation prediction L Wu, G Huang, J Fan, X Ma, H Zhou, W Zeng Computers and Electronics in Agriculture 168, 105115, 2020 | 109 | 2020 |
| Multi-objective optimization of water and fertilizer management for potato production in sandy areas of northern China based on TOPSIS H Wang, X Wang, L Bi, Y Wang, J Fan, F Zhang, X Hou, M Cheng, W Hu, ... Field Crops Research 240, 55-68, 2019 | 108 | 2019 |
| Daily pan evaporation modeling from local and cross-station data using three tree-based machine learning models X Lu, Y Ju, L Wu, J Fan, F Zhang, Z Li Journal of Hydrology 566, 668-684, 2018 | 104 | 2018 |
