| 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, H Bai, X Yu, X Lu, Y Xiang Energy Conversion and Management 164, 102-111, 2018 | 490 | 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 | 379 | 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 574, 1029-1041, 2019 | 346 | 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 | 268 | 2019 |
| The effects of mulch and nitrogen fertilizer on the soil environment of crop plants X Wang, J Fan, Y Xing, G Xu, J Deng, Y Wang, F Zhang, P Li, Z Li Advances in Agronomy 153, 121-173, 2019 | 221 | 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 | 218 | 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 | 180 | 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 | 171 | 2016 |
| 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 | 151 | 2018 |
| 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 | 146 | 2020 |
| 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 & Sustainable Energy Reviews 105, 168-186, 2019 | 144 | 2019 |
| 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 | 133 | 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 | 132 | 2021 |
| 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 | 119 | 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 | 116 | 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 | 112 | 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 | 111 | 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 | 108 | 2020 |
| 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 & Sustainable Energy Reviews 94, 732-747, 2018 | 104 | 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 |
Lifeng WuNanchang institute of technologyVerified email at nit.edu.cn
