| Comparison of Support Vector Machine and Extreme Gradient Boosting for predicting daily global solar radiation using temperature and precipitation in humid subtropical climates … J Fan, X Wang, L Wu, H Zhou, F Zhang, X Yu, X Lu, Y Xiang Energy conversion and management 164, 102-111, 2018 | 518 | 2018 |
| Evaluation of SVM, ELM and four tree-based ensemble models for predicting daily reference evapotranspiration using limited meteorological data in different climates of China J Fan, W Yue, L Wu, F Zhang, H Cai, X Wang, X Lu, Y Xiang Agricultural and forest meteorology 263, 225-241, 2018 | 390 | 2018 |
| 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, 2019 | 368 | 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 and Sustainable Energy Reviews 100, 186-212, 2019 | 270 | 2019 |
| Light Gradient Boosting Machine: An efficient soft computing model for estimating daily reference evapotranspiration with local and external meteorological data J Fan, X Ma, L Wu, F Zhang, X Yu, W Zeng Agricultural water management 225, 105758, 2019 | 238 | 2019 |
| Coupling effects of water and fertilizer on yield, water and fertilizer use efficiency of drip-fertigated cotton in northern Xinjiang, China H Wang, L Wu, M Cheng, J Fan, F Zhang, Y Zou, HW Chau, Z Gao, ... Field Crops Research 219, 169-179, 2018 | 187 | 2018 |
| 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 | 172 | 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 |
| 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 |
| Evaluation and development of empirical models for estimating daily and monthly mean daily diffuse horizontal solar radiation for different climatic regions of China J Fan, L Wu, F Zhang, H Cai, X Ma, H Bai Renewable and Sustainable Energy Reviews 105, 168-186, 2019 | 151 | 2019 |
| 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 | 139 | 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 | 136 | 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 | 125 | 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 | 119 | 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 | 113 | 2019 |
| 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 | 108 | 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 |
| Evaluating the effect of air pollution on global and diffuse solar radiation prediction using support vector machine modeling based on sunshine duration and air temperature J Fan, L Wu, F Zhang, H Cai, X Wang, X Lu, Y Xiang Renewable and Sustainable Energy Reviews 94, 732-747, 2018 | 105 | 2018 |
| 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 | 103 | 2018 |
| Optimal drip fertigation management improves yield, quality, water and nitrogen use efficiency of greenhouse cucumber H Wang, J Li, M Cheng, F Zhang, X Wang, J Fan, L Wu, D Fang, H Zou, ... Scientia Horticulturae 243, 357-366, 2019 | 102 | 2019 |
Junliang FanNorthwest A&F University在 nwafu.edu.cn 的电子邮件经过验证
