Lifeng Wu

Environmental Engineering · Journal of Hydrology · 2012–2020

A researcher in the Science corpus: 12 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Environmental Engineering — 52 citations into it

Whom Lifeng Wu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. H. Pao
2. Ozgur Kisi

Who trusts Lifeng Wu overall

1. Zheng-xin Wang

Papers from Lifeng Wu's perspective

Ordered by how strongly the researchers Lifeng Wu trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Nature of Statistical Learning Theory
2. Time series analysis, forecasting and control
3. Determinants of CO2 emissions in a small open economy
4. Energy consumption, income, and carbon emissions in the United States
5. A multivariate cointegration analysis of the role of energy in the US macroeconomy
6. Carbon Dioxide Emission and Income: A Temporal Analysis of Cross- Country Distributional Patterns
7. Environmental productivity and Kuznets curve in India
8. The Rise and Fall of the Environmental Kuznets Curve
9. Neural Networks for Pattern Recognition
10. Statistical learning theory

Their papers

• Modelling and forecasting CO2 emissions in the BRICS (Brazil, Russia, India, China, and South Africa) countries using a novel multi-variable grey model (2015) — 218 citations
• Grey system model with the fractional order accumulation (2013) — 585 citations
• Fractional Hausdorff grey model and its properties (2020) — 180 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
• Light Gradient Boosting Machine: An efficient soft computing model for estimating daily reference evapotranspiration with local and external meteorological data (2019) — 404 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
• Grey Lotka–Volterra model and its application (2012) — 65 citations