| Forecasting the demand of the aviation industry using hybrid time series SARIMA-SVR approach S Xu, HK Chan, T Zhang Transportation Research Part E: Logistics and Transportation Review 122, 169-180, 2019 | 165 | 2019 |
| A comparison of time series methods for forecasting container throughput HK Chan, S Xu, X Qi International journal of logistics research and applications 22 (3), 294-303, 2019 | 57 | 2019 |
| Forecasting medical device demand with online search queries: A big data and machine learning approach S Xu, HK Chan Procedia Manufacturing 39, 32-39, 2019 | 30 | 2019 |
| Enhancing hotel knowledge management: the influencing factors of online hotel reviews on travellersĒ booking intention Y Xia, HK Chan, L Zhong, S Xu Knowledge Management Research & Practice, 2021 | 15 | 2021 |
| A comparison of forecasting methods for medical device demand using trend-based clustering scheme S Xu, HK Chan, E ChĒng, KH Tan Journal of Data, Information and Management 2, 85–94, 2020 | 10 | 2020 |
| Intelligent Port Data Management Systems to improve capability HK Chan, S Xu 2017 International Conference on Service Systems and Service Management …, 2017 | 7 | 2017 |
| Data-driven inventory management in the healthcare supply chain S Xu, KH Tan Supply Chain and Logistics Management: Concepts, Methodologies, Tools, and …, 2020 | 5 | 2020 |
| Comparison of Different Approaches of Machine Learning Methods with Conventional Approaches on Container Throughput Forecasting S Xu, S Zou, J Huang, W Yang, F Zeng Applied Sciences 12 (19), 9730, 2022 | 3 | 2022 |
| Revealing the Power of PortĒs Bi-directional Hinterland: A Hybrid Container Throughput Forecasting Approach F Zeng, S Xu | | 2024 |
| A systematic forecasting framework for the key factors of supply chain transportation S Xu University of Nottingham, 2020 | | 2020 |
| New Research Direction of the Joint Sea-and-Land Transportation of the Ningbo Port Under the Belt and Road Initiative S Xu, F Zeng, HK Chan International Flows in the Belt and Road Initiative Context, 61-73, 2020 | | 2020 |
| Forecasting port container throughput by “Ridge Regression-Seasonal Autoregression Integrated Moving Average-Support Vector Regression” approach S Xu, HK Chan MISTA 2019, 2019 | | 2019 |
| Demand forecasting of medical device with online big data S Xu, HK Chan IET Doctoral Forum on Biomedical Engineering, Healthcare, Robotics and …, 2018 | | 2018 |
| Information Sharing in Logistics For China-Pakistan Under The Belt And Road Initiative HK Chan, F Zeng, S Xu | | |
| Management in the Data-Driven Inventory Healthcare Supply Chain S Xu, KH Tan | | |
| Machine Learning Approach to Improve Medical Device Supply Chain Strategy S Xu, HK Chan | | |
| Data-Driven Port Management System HK Chan, S Xu | | |
| PORT DATA MANAGEMENT SYSTEMS TO IMPROVE CAPABILITY HK Chan, S Xu | | |
Hing Kai, ChanProfessor of Operations Management, Nottingham University Business School ChinaVerified email at nottingham.edu.cn
