College of Business

Department of Management Sciences

Organisational unit: Academic Departments

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Latest Publications

  1. Published
    Oligopolistic quantity competition with bounded rationality and social comparison
    Li, Y., Chen, Y., Shou, B. & Zhao, X., May 2019, In : International Journal of Production Economics. 211, p. 180-196

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › Not applicable › peer-review

  2. E-pub ahead of print
    Model averaging estimators for the stochastic frontier model
    Parmeter, C. F., Wan, A. T. K. & Zhang, X., 4 Apr 2019, In : Journal of Productivity Analysis.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › Not applicable › peer-review

  3. E-pub ahead of print
    Smooth Bayesian network model for the prediction of future high-cost patients with COPD
    Lin, S., Zhang, Q., Chen, F., Luo, L., Chen, L. & Zhang, W., 4 Apr 2019, In : International Journal of Medical Informatics. 126, p. 147-155

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › Not applicable › peer-review

  4. Published
    Approximate Dantzig–Wolfe decomposition to solve a class of variational inequality problems with an illustrative application to electricity market models
    Chung, W., 15 Mar 2019, In : Expert Systems with Applications. 118, p. 140-151

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › Not applicable › peer-review

  5. Published
    Multilevel model with random effects for clustered survival data with multiple failure outcomes
    Tawiah, R., Yau, K. K. W., McLachlan, G. J., Chambers, S. K. & Ng, S., 15 Mar 2019, In : Statistics in Medicine. 38, 6, p. 1036-1055

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › Not applicable › peer-review

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Most downloaded

  1. Downloads 129
    Kernel smoothing for nested estimation with application to portfolio risk measurement
    HONG, L. J., Juneja, S. & LIU, G., May 2017, In : Operations Research. 65, 3, p. 657-673

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › Not applicable › peer-review

    Scopus citations: 3
  2. Downloads 12
    Impact of healthcare insurance on medical expense in China: new evidence from meta-analysis
    Chai, J., Xing, L., Zhou, Y., Li, S., Lai, K. K. & Wang, S., Aug 2018, In : Soft Computing. 22, 16, p. 5201–5213

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › Not applicable › peer-review

  3. Downloads 10
    Resource Allocation and Outpatient Appointment Scheduling Using Simulation Optimization
    Lin, C. K. Y., Ling, T. W. C. & YEUNG, W. K., 2017, In : Journal of Healthcare Engineering. 2017, 9034737.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › Not applicable › peer-review

  4. Downloads 9
    Portfolio value at risk estimate for crude oil markets: A multivariatewavelet denoising approach
    He, K., Lai, K. K. & Xiang, G., Apr 2012, In : Energies. 5, 4, p. 1018-1043

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › Not applicable › peer-review

    Scopus citations: 12
  5. Downloads 9
    Forecasting Crude Oil Prices: A Deep Learning based Model
    Chen, Y., He, K. & Tso, G. K. F., 2017, In : Procedia Computer Science. 122, p. 300-307

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › Not applicable › peer-review

    Scopus citations: 9

Most Cited

  1. Carbon footprint and the management of supply chains: Insights from simple models
    Benjaafar, S., Li, Y. & Daskin, M., Jan 2013, In : IEEE Transactions on Automation Science and Engineering. 10, 1, p. 99-116 6248180.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › Not applicable › peer-review

    Scopus citations: 441
  2. Predicting electricity energy consumption: A comparison of regression analysis, decision tree and neural networks
    Tso, G. K. F. & Yau, K. K. W., Sep 2007, In : Energy. 32, 9, p. 1761-1768

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › Not applicable › peer-review

    Scopus citations: 322
  3. Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm
    Yu, L., Wang, S. & Lai, K. K., Sep 2008, In : Energy Economics. 30, 5, p. 2623-2635

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › Not applicable › peer-review

    Scopus citations: 314
  4. A new fuzzy support vector machine to evaluate credit risk
    Wang, Y., Wang, S. & Lai, K. K., Dec 2005, In : IEEE Transactions on Fuzzy Systems. 13, 6, p. 820-831

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › Not applicable › peer-review

    Scopus citations: 244
  5. Rating the importance of customer needs in quality function deployment by fuzzy and entropy methods
    Chan, L. K., Kao, H. P., Ng, A. & Wu, M. L., 1999, In : International Journal of Production Research. 37, 11, p. 2499-2518

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › Not applicable › peer-review

    Scopus citations: 213

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