| Analytics and machine learning in vehicle routing research R Bai, X Chen, ZL Chen, T Cui, S Gong, W He, X Jiang, H Jin, J Jin, ... International Journal of Production Research 61 (1), 4-30, 2023 | 80 | 2023 |
| The effects of commodity financialization on commodity market volatility S Ding, T Cui, D Zheng, M Du Resources Policy 73, 102220, 2021 | 38 | 2021 |
| A combinatorial algorithm for the cardinality constrained portfolio optimization problem T Cui, S Cheng, R Bai 2014 IEEE Congress on Evolutionary Computation (CEC), 491-498, 2014 | 27 | 2014 |
| Portfolio constructions in cryptocurrency market: A CVaR-based deep reinforcement learning approach T Cui, S Ding, H Jin, Y Zhang Economic Modelling 119, 106078, 2023 | 21 | 2023 |
| Incorporating the RMB internationalization effect into its exchange rate volatility forecasting S Ding, T Cui, Y Zhang The North American Journal of Economics and Finance 54, 101103, 2020 | 19 | 2020 |
| A review of enhancement of biohydrogen productions by chemical addition using a supervised machine learning method Y Liu, J Liu, H He, S Yang, Y Wang, J Hu, H Jin, T Cui, G Yang, Y Sun Energies 14 (18), 5916, 2021 | 18 | 2021 |
| An ensemble based genetic programming system to predict english football premier league games T Cui, J Li, JR Woodward, AJ Parkes 2013 IEEE conference on evolving and adaptive intelligent systems (EAIS …, 2013 | 17 | 2013 |
| A hybrid combinatorial approach to a two-stage stochastic portfolio optimization model with uncertain asset prices T Cui, R Bai, S Ding, AJ Parkes, R Qu, F He, J Li Soft Computing 24, 2809-2831, 2020 | 16 | 2020 |
| Supply chain management based on volatility clustering: The effect of CBDC volatility S Ding, T Cui, X Wu, M Du Research in International Business and Finance 62, 101690, 2022 | 15 | 2022 |
| Forecasting stock market return with nonlinearity: a genetic programming approach S Ding, T Cui, X Xiong, R Bai Journal of Ambient Intelligence and Humanized Computing 11, 4927-4939, 2020 | 14 | 2020 |
| The role of feature importance in predicting corporate financial distress in pre and post COVID periods: Evidence from China S Ding, T Cui, AG Bellotti, MZ Abedin, B Lucey International Review of Financial Analysis 90, 102851, 2023 | 12 | 2023 |
| An efficient asymmetric nonlinear activation function for deep neural networks E Chai, W Yu, T Cui, J Ren, S Ding Symmetry 14 (5), 1027, 2022 | 11 | 2022 |
| Enhancing environmental sustainability through corporate governance: the merger and acquisition perspective D Zheng, Z Yuan, S Ding, T Cui Energy, Sustainability and Society 11 (1), 41, 2021 | 10 | 2021 |
| The oil price-inflation nexus: The exchange rate pass-through effect S Ding, D Zheng, T Cui, M Du Energy Economics 125, 106828, 2023 | 9 | 2023 |
| A hybrid genetic algorithm for a two-stage stochastic portfolio optimization with uncertain asset prices T Cui, R Bai, AJ Parkes, F He, R Qu, J Li 2015 IEEE Congress on Evolutionary Computation (CEC), 2518-2525, 2015 | 9 | 2015 |
| Futures volatility forecasting based on big data analytics with incorporating an order imbalance effect S Ding, T Cui, Y Zhang International Review of Financial Analysis 83, 102255, 2022 | 8 | 2022 |
| Container port truck dispatching optimization using Real2Sim based deep reinforcement learning J Jin, T Cui, R Bai, R Qu European Journal of Operational Research 315 (1), 161-175, 2024 | 4 | 2024 |
| Multi-period portfolio optimization using a deep reinforcement learning hyper-heuristic approach T Cui, N Du, X Yang, S Ding Technological Forecasting and Social Change 198, 122944, 2024 | 4 | 2024 |
| Container terminal daily gate in and gate out forecasting using machine learning methods J Jin, M Ma, H Jin, T Cui, R Bai Transport Policy 132, 163-174, 2023 | 4 | 2023 |
| Identify Patterns in Online Bin Packing Problem: An Adaptive Pattern-Based Algorithm B Lin, J Li, R Bai, R Qu, T Cui, H Jin Symmetry 14 (7), 1301, 2022 | 4 | 2022 |
