H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology D-index 65 Citations 14,279 379 World Ranking 419 National Ranking 39
Social Sciences and Humanities D-index 60 Citations 13,364 357 World Ranking 564 National Ranking 4

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Artificial intelligence
  • Machine learning

His primary areas of investigation include Artificial neural network, Artificial intelligence, Operations research, Machine learning and Econometrics. Kin Keung Lai combines subjects such as Data processing, Expert system, Stock market index, Nonlinear system and Exchange rate with his study of Artificial neural network. In Artificial intelligence, Kin Keung Lai works on issues like West Texas Intermediate, which are connected to Feedforward neural network, Spot contract, Brent Crude and Pattern recognition.

His Operations research research is multidisciplinary, incorporating perspectives in Production, Production planning, Stochastic programming, Decision support system and Port. His Machine learning study combines topics in areas such as Generalization, Data mining and Financial crisis. His work deals with themes such as Hilbert–Huang transform, Actuarial science and Portfolio optimization, Portfolio, which intersect with Econometrics.

His most cited work include:

  • Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm (448 citations)
  • A new fuzzy support vector machine to evaluate credit risk (292 citations)
  • A new approach for crude oil price analysis based on Empirical Mode Decomposition (269 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Econometrics, Artificial intelligence, Mathematical optimization, Artificial neural network and Data mining. The study incorporates disciplines such as Value at risk, Empirical research, Wavelet and Portfolio in addition to Econometrics. His research in Portfolio is mostly focused on Portfolio optimization.

As part of his studies on Artificial intelligence, Kin Keung Lai often connects relevant subjects like Machine learning. His studies in Genetic algorithm and Duality are all subfields of Mathematical optimization research. His research links Credit risk with Support vector machine.

He most often published in these fields:

  • Econometrics (20.21%)
  • Artificial intelligence (15.57%)
  • Mathematical optimization (16.77%)

What were the highlights of his more recent work (between 2017-2021)?

  • Supply chain (14.07%)
  • Industrial organization (8.53%)
  • Operations research (13.32%)

In recent papers he was focusing on the following fields of study:

Kin Keung Lai mainly focuses on Supply chain, Industrial organization, Operations research, Econometrics and Mathematical optimization. His Supply chain study integrates concerns from other disciplines, such as Incentive, Microeconomics, Profit, Stackelberg competition and Remanufacturing. Kin Keung Lai has researched Stackelberg competition in several fields, including Consignment and Newsvendor model.

His research in Industrial organization tackles topics such as Revenue sharing which are related to areas like Product and Pareto principle. His studies in Operations research integrate themes in fields like Calibration and Vendor Selection. His Econometrics study combines topics from a wide range of disciplines, such as Market liquidity, Currency crisis, Renminbi and Focus.

Between 2017 and 2021, his most popular works were:

  • The future natural gas consumption in China: Based on the LMDI-STIRPAT-PLSR framework and scenario analysis (39 citations)
  • The future natural gas consumption in China: Based on the LMDI-STIRPAT-PLSR framework and scenario analysis (39 citations)
  • Channel competition and coordination of a dual-channel supply chain with demand and cost disruptions (17 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Artificial intelligence
  • Machine learning

The scientist’s investigation covers issues in Supply chain, Industrial organization, Supply and demand, Data mining and Remanufacturing. His work on Supply chain management as part of general Supply chain study is frequently connected to Subsidy, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. Kin Keung Lai works mostly in the field of Supply chain management, limiting it down to concerns involving Subject and, occasionally, Operations research.

His Industrial organization research includes themes of Revenue sharing, Pareto principle and Product. The various areas that Kin Keung Lai examines in his Data mining study include Ranking and Benchmark. The Benchmark study combines topics in areas such as Artificial neural network, Cluster analysis, Ensemble learning, Decomposition and Exchange rate.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Nonconvex Optimization and Its Applications

Panos Pardalos;Shashi Kant Mishra;Shou-Yang Wang;Kin Keung Lai.
(2008)

1174 Citations

Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm

Lean Yu;Shouyang Wang;Kin Keung Lai.
Energy Economics (2008)

629 Citations

A new fuzzy support vector machine to evaluate credit risk

Yongqiao Wang;Shouyang Wang;K.K. Lai.
IEEE Transactions on Fuzzy Systems (2005)

439 Citations

A new approach for crude oil price analysis based on Empirical Mode Decomposition

Xun Zhang;K.K. Lai;Shou-Yang Wang.
Energy Economics (2008)

394 Citations

Manufacturer’s revenue-sharing contract and retail competition

Zhong Yao;Stephen C. H. Leung;Kin Keung Lai;Kin Keung Lai.
European Journal of Operational Research (2008)

380 Citations

Credit risk assessment with a multistage neural network ensemble learning approach

Lean Yu;Shouyang Wang;Kin Keung Lai.
Expert Systems With Applications (2008)

352 Citations

A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates

Lean Yu;Shouyang Wang;K.K. Lai.
Computers & Operations Research (2005)

319 Citations

A model for portfolio selection with order of expected returns

Yusen Xia;Baoding Liu;Shouyang Wang;K. K. Lai.
Computers & Operations Research (2000)

283 Citations

A distance-based group decision-making methodology for multi-person multi-criteria emergency decision support

Lean Yu;Kin Keung Lai.
decision support systems (2011)

273 Citations

A fuzzy approach to the multiobjective transportation problem

Lushu Li;K. K. Lai.
Computers & Operations Research (2000)

261 Citations

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Best Scientists Citing Kin Keung Lai

Shouyang Wang

Shouyang Wang

Chinese Academy of Sciences

Publications: 80

Lean Yu

Lean Yu

Academy of Mathematics and Systems Science

Publications: 38

Yi-Ming Wei

Yi-Ming Wei

Beijing Institute of Technology

Publications: 20

Yong Shi

Yong Shi

Chinese Academy of Sciences

Publications: 18

Manoranjan Maiti

Manoranjan Maiti

Vidyasagar University

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Ilkyeong Moon

Ilkyeong Moon

Seoul National University

Publications: 14

Vadlamani Ravi

Vadlamani Ravi

Institute for Development and Research in Banking Technology

Publications: 14

Christodoulos A. Floudas

Christodoulos A. Floudas

Texas A&M University

Publications: 12

Liang Liang

Liang Liang

University of Science and Technology of China

Publications: 12

Jian Ma

Jian Ma

Southwest Jiaotong University

Publications: 11

Samarjit Kar

Samarjit Kar

National Institute of Technology Durgapur

Publications: 11

King Lun Choy

King Lun Choy

Hong Kong Polytechnic University

Publications: 11

Zeshui Xu

Zeshui Xu

Sichuan University

Publications: 11

Qiang Ji

Qiang Ji

Chinese Academy of Sciences

Publications: 10

T.C.E. Cheng

T.C.E. Cheng

Hong Kong Polytechnic University

Publications: 10

Reinaldo Morabito

Reinaldo Morabito

Federal University of São Carlos

Publications: 10

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