Xin Ma

Environmental Engineering · Chemosphere · 2015–2021

A researcher in the Science corpus: 11 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Environmental Engineering — 40 citations into it
• Management Science and Operations Research — 26 citations into it
• Computational Theory and Mathematics — 7 citations into it

Whom Xin Ma trusts overall

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

1. Nai-ming Xie
2. Sifeng Liu
3. Beng Wah Ang

Papers from Xin Ma's perspective

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

1. Discrete grey forecasting model and its optimization
2. Forecasting the output of shale gas in China using an unbiased grey model and weakening buffer operator
3. Fuzzy sets
4. The Nature of Statistical Learning Theory
5. Random Forests
6. Greedy function approximation: A gradient boosting machine.
7. Stochastic gradient boosting
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
10. Genetic Algorithms in Search Optimization and Machine Learning

Their papers

• A novel Hausdorff fractional NGMC(p,n) prediction model and its applications in forecasting energy production and conversion of China (2021) — 72 citations
• Short-term prediction of building energy consumption employing an improved extreme gradient boosting model: A case study of an intake tower (2020) — 114 citations
• Hybrid decision tree-based machine learning models for short-term water quality prediction. (2020) — 528 citations
• Hybrid support vector machines with heuristic algorithms for prediction of daily diffuse solar radiation in air-polluted regions (2020) — 167 citations
• A novel Grey Bernoulli model for short-term natural gas consumption forecasting (2020) — 113 citations
• US natural gas consumption prediction using an improved kernel-based nonlinear extension of the Arps decline model (2020) — 58 citations
• Light Gradient Boosting Machine: An efficient soft computing model for estimating daily reference evapotranspiration with local and external meteorological data (2019) — 404 citations
• Improved GM(1,1) model based on Simpson formula and its applications. (2019) — 54 citations
• Carbon-dioxide mitigation in the residential building sector: A household scale-based assessment (2019) — 201 citations
• Evaluation of CatBoost method for prediction of reference evapotranspiration in humid regions (2019) — 486 citations
• Developing green purchasing relationships for the manufacturing industry: An evolutionary game theory perspective (2015) — 195 citations