College of Business

Department of Management Sciences

Organisational unit: Academic Departments

Official website
View graph of relations

Latest Publications

  1. Online published
    Meteorological Factors Facilitated Increased Legionnaires’ Disease Notifications and Mortality Pre-COVID-19 and COVID-19 in Hong Kong
    Zhang, Y., Chen, F. Y., Tso, G. K. F. & Yang, L., 25 Oct 2022, (Online published) In: Journal of Infectious Diseases and Treatment. 8, 8, 6 p., 040.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 22_Publication in policy or professional journal › peer-review

  2. Published
    The impact of trade, financial development and government integrity on energy efficiency: An analysis from G7-Countries
    Shah, W. U. H., Hao, G., Yan, H., Yasmeen, R., Padda, I. U. H. & Ullah, A., 15 Sep 2022, In: Energy. 255, 124507.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

    Scopus citations: 9
  3. Published
    Model averaging for interval-valued data
    Sun, Y., Zhang, X., Wan, A. T. K. & Wang, S., 1 Sep 2022, In: European Journal of Operational Research. 301, 2, p. 772-784

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

    Scopus citations: 1
  4. Published
    Factor investing: A Bayesian hierarchical approach
    Feng, G. & He, J., Sep 2022, In: Journal of Econometrics. 230, 1, p. 183-200

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

  5. Published
    Price Competition in the Random Coefficient Attraction Choice Models with Linear Cost
    Feng, X., Xie, Y. & Yan, H., Sep 2022, In: Journal of the Operations Research Society of China. 10, 3, p. 623–658 36 p.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

View all

Most downloaded

  1. Downloads 312
    Forecasting Exchange Rate Value at Risk using Deep Belief Network Ensemble based Approach
    He, K., Ji, L., Tso, G. K. F., Zhu, B. & Zou, Y., 2018, In: Procedia Computer Science. 139, p. 25-32

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

    Scopus citations: 7
  2. Downloads 177
    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 › peer-review

    Scopus citations: 54
  3. Downloads 163
    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 › peer-review

    Scopus citations: 25
  4. Downloads 102
    Topic generation for Chinese stocks: a cognitively motivated topic modeling method using social media data
    Chen, W., Lai, K. & Cai, Y., 19 Apr 2018, In: Quantitative Finance and Economics. 2, 2, p. 279-293

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

  5. Downloads 87
    The impact of travel time reliability and perceived service quality on airport ground access mode choice
    Tam, M., Lam, W. H. K. & Lo, H., 2011, In: Journal of Choice Modelling. 4, 2, p. 49-69

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

    Scopus citations: 29

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 › peer-review

    Scopus citations: 827
  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 › peer-review

    Scopus citations: 619
  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 › peer-review

    Scopus citations: 496
  4. OR/MS models for supply chain disruptions: A review
    Snyder, L. V., Atan, Z., Peng, P., Rong, Y., Schmitt, A. J. & Sinsoysal, B., 2016, In: IIE Transactions (Institute of Industrial Engineers). 48, 2, p. 89-109

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 62_Review of books or of software (or similar publications/items) › peer-review

    Scopus citations: 438
  5. A new approach for crude oil price analysis based on Empirical Mode Decomposition
    Zhang, X., Lai, K. K. & Wang, S., May 2008, In: Energy Economics. 30, 3, p. 905-918

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

    Scopus citations: 316

View all