College of Business

Department of Management Sciences

Organisational unit: Academic Departments

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Latest Publications

  1. Published
    Representation Learning for Predicting Customer Orders
    WU, T., YU, Y., Li, Y., Mao, H., Li, L., Wang, X. & Deng, Y., Aug 2021, KDD’21: Proceedings of the 27th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. Association for Computing Machinery

    Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review

  2. Accepted/In press/Filed
    A Permutation-Dependent Separability Approach for Capacitated Two-Echelon Inventory Systems
    Shen, X., YU, Y. & Huh, T., 27 Jul 2021, (Accepted/In press/Filed) In: Operations Research.

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

  3. Accepted/In press/Filed
    Incentives for Shared Services: Multi-Server Queueing Systems with Priorities
    LIU, H. & YU, Y., 26 Jul 2021, (Accepted/In press/Filed) In: Manufacturing & Service Operations Management.

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

  4. Accepted/In press/Filed
    Integrated capacity and appointment scheduling strategy for access time management
    LIN, K. Y. C., 19 Jul 2021, (Accepted/In press/Filed) In: International Journal of Business & Economic Development. 2, 2, 26 p.

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

  5. Published
    Managing supply risk: Robust procurement strategy for capacity improvement
    Li, Y. & Shou, B., Jul 2021, In: Omega (United Kingdom). 102, 102352.

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

    Scopus citations: 1

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Most downloaded

  1. 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: 13
  2. Downloads 154
    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: 3
  3. Downloads 74
    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: 35
  4. Downloads 62
    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: 19
  5. Downloads 49
    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 › peer-review

    Scopus citations: 4

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: 671
  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: 498
  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: 440
  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: 337
  5. 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 › peer-review

    Scopus citations: 290

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