Kin Keung Lai

Economics and Econometrics · 2004–2012

A researcher in the Science corpus: 14 papers; trusts 31 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

• Economics and Econometrics — 52 citations into it; #5,000 of 23,481 by trust here, #2,859 by citations
• Artificial Intelligence — 25 citations into it; #19,136 of 35,345 by trust here, #22,463 by citations
• Management Science and Operations Research — 24 citations into it
• Renewable Energy, Sustainability and the Environment — 21 citations into it; #3,546 of 5,212 by trust here, #4,496 by citations
• Control and Systems Engineering — 13 citations into it; #2,117 of 8,257 by trust here, #1,139 by citations
• Finance — 13 citations into it
• Electrical and Electronic Engineering — 10 citations into it
• Statistics and Probability — 10 citations into it

Whom Kin Keung Lai trusts overall

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

1. Vladimir Naumovich Vapnik
2. Lyn C. Thomas
3. R. Fisher
4. Claudio Morana
5. Johan A. K. Suykens
6. G. Zhang
7. Leo Breiman
8. Robert E. Schapire
9. David Hilton Wolpert
10. Kurt Hornik

Who trusts Kin Keung Lai overall

1. Lean Yu
2. Hao Chen
3. Ling Tang
4. Neeraj Dhanraj Bokde
5. Zishu Wang
6. Kaijian He
7. Omer Berat Sezer
8. Feng Zhou
9. Sebastian Nick
10. Rukshan Batuwita

Papers from Kin Keung Lai's perspective

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

1. The Nature of Statistical Learning Theory
2. Fast Training of Support Vector Machines using Sequential Minimal Optimization
3. Learning internal representations by error propagation
4. Multilayer feedforward networks are universal approximators
5. LIBSVM: A library for support vector machines
6. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
7. Genetic Algorithms in Search Optimization and Machine Learning
8. Some methods for classification and analysis of multivariate observations
9. Bagging Predictors
10. Estimation of Dependences Based on Empirical Data

Their papers

• Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm (2008) — 709 citations
• Crude oil price analysis and forecasting using wavelet decomposed ensemble model (2012) — 150 citations
• A new approach for crude oil price analysis based on Empirical Mode Decomposition (2008) — 446 citations
• Estimating the impact of extreme events on crude oil price: An EMD-based event analysis method (2009) — 245 citations
• A new fuzzy support vector machine to evaluate credit risk (2005) — 394 citations
• Forecasting Foreign Exchange Rates With Artificial Neural Networks: A Review (2004) — 159 citations
• Evolving Least Squares Support Vector Machines for Stock Market Trend Mining (2009) — 228 citations
• Global economic activity and crude oil prices: A cointegration analysis (2010) — 231 citations
• Quality improvement in competing supply chains (2011) — 117 citations
• Generalized Convexity and Vector Optimization (2008) — 72 citations
• Fuzzy Portfolio Optimization: Theory and Methods (2008) — 54 citations
• Fuzzy Portfolio Optimization (2008) — 59 citations
• Credit risk assessment with a multistage neural network ensemble learning approach (2008) — 323 citations
• CRUDE OIL PRICE FORECASTING WITH TEI@I METHODOLOGY ∗ (2005) — 160 citations