Junliang Fan
Environmental Engineering · 2018–2021
A researcher in the Science corpus: 16 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 40 citations into it
Whom Junliang Fan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ozgur Kisi
- Vladimir Naumovich Vapni
- Jerome H. Friedman
- Kasra Mohammadi
- Xin-She Yang
- J. Ross Quinlan
- Tianqi Chen
Papers from Junliang Fan's perspective
Ordered by how strongly the researchers Junliang Fan trusts endorse each paper. Same corpus, a different order for every researcher.
- The Nature of Statistical Learning Theory
- Statistical learning theory
- Statistical Learning Theory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- The Nature of Statistical Learning
- Random Forests
- Greedy function approximation: A gradient boosting machine.
- Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
- Support-Vector Networks
- Estimation of daily pan evaporation using artificial neural network and multivariate non-linear regression (Irrigation science)
Their papers
- A global meta-analysis of yield and water use efficiency of crops, vegetables and fruits under full, deficit and alternate partial root-zone irrigation (2021) — 79 citations
- Nitrogen fertilizer management effects on soil nitrate leaching, grain yield and economic benefit of summer maize in Northwest China (2021) — 144 citations
- Optimization of irrigation amount and fertilization rate of drip-fertigated potato based on Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation methods (2021) — 73 citations
- Response of yield, yield components and water-nitrogen use efficiency of winter wheat to different drip fertigation regimes in Northwest China (2021) — 55 citations
- Optimal irrigation amount and nitrogen rate improved seed cotton yield while maintaining fiber quality of drip-fertigated cotton in northwest China (2021) — 83 citations
- Optimization of drip irrigation and fertilization regimes for high grain yield, crop water productivity and economic benefits of spring maize in Northwest China (2020) — 161 citations
- Hybrid support vector machines with heuristic algorithms for prediction of daily diffuse solar radiation in air-polluted regions (2020) — 167 citations
- Maize yield, rainwater and nitrogen use efficiency as affected by maize genotypes and nitrogen rates on the Loess Plateau of China (2019) — 59 citations
- Light Gradient Boosting Machine: An efficient soft computing model for estimating daily reference evapotranspiration with local and external meteorological data (2019) — 404 citations
- Effects of water and fertilizer management on grain filling characteristics, grain weight and productivity of drip-fertigated winter wheat (2019) — 116 citations
- Simulation of cotton growth and soil water content under film-mulched drip irrigation using modified CSM-CROPGRO-cotton model (2019) — 64 citations
- Optimal drip fertigation management improves yield, quality, water and nitrogen use efficiency of greenhouse cucumber (2019) — 102 citations
- Evaluation of CatBoost method for prediction of reference evapotranspiration in humid regions (2019) — 486 citations
- Daily pan evaporation modeling from local and cross-station data using three tree-based machine learning models (2018) — 103 citations
- Comparison of Support Vector Machine and Extreme Gradient Boosting for predicting daily global solar radiation using temperature and precipitation in humid subtropical climates: A case study in China (2018) — 556 citations
- Evaluation of SVM, ELM and four tree-based ensemble models for predicting daily reference evapotranspiration using limited meteorological data in different climates of China (2018) — 462 citations