| A hybrid model of integer programming and variable neighbourhood search for highly-constrained nurse rostering problems EK Burke, J Li, R Qu European Journal of Operational Research 203 (2), 484-493, 2010 | 284 | 2010 |
| A fuzzy genetic algorithm for driver scheduling J Li, RSK Kwan European Journal of Operational Research 147 (2), 334-344, 2003 | 160 | 2003 |
| A hybrid Persian sentiment analysis framework: Integrating dependency grammar based rules and deep neural networks K Dashtipour, M Gogate, J Li, F Jiang, B Kong, A Hussain Neurocomputing 380, 1-10, 2020 | 138 | 2020 |
| A hybrid evolutionary approach to the nurse rostering problem R Bai, EK Burke, G Kendall, J Li, B McCollum IEEE Transactions on Evolutionary Computation 14 (4), 580-590, 2010 | 129 | 2010 |
| An estimation of distribution algorithm with intelligent local search for rule-based nurse rostering U Aickelin, EK Burke, J Li Journal of the Operational Research Society 58 (12), 1574-1585, 2007 | 124 | 2007 |
| A hybrid metaheuristic case-based reasoning system for nurse rostering G Beddoe, S Petrovic, J Li Journal of Scheduling 12 (2), 99-119, 2009 | 112 | 2009 |
| Stochastic service network design with rerouting R Bai, SW Wallace, J Li, AYL Chong Transportation Research Part B: Methodological 60, 50-65, 2014 | 105 | 2014 |
| An estimation of distribution algorithm for nurse scheduling U Aickelin, J Li Annals of Operations Research 155, 289-309, 2007 | 103 | 2007 |
| The falling tide algorithm: a new multi-objective approach for complex workforce scheduling J Li, EK Burke, T Curtois, S Petrovic, R Qu Omega 40 (3), 283-293, 2012 | 95 | 2012 |
| An evolutionary squeaky wheel optimization approach to personnel scheduling U Aickelin, EK Burke, J Li IEEE Transactions on evolutionary computation 13 (2), 433-443, 2008 | 79 | 2008 |
| Exploring personalised autonomous vehicles to influence user trust X Sun, J Li, P Tang, S Zhou, X Peng, HN Li, Q Wang Cognitive Computation 12, 1170-1186, 2020 | 76 | 2020 |
| A Bayesian optimization algorithm for the nurse scheduling problem J Li, U Aickelin The 2003 Congress on Evolutionary Computation, 2003. CEC'03. 3, 2149-2156, 2003 | 70 | 2003 |
| A Pareto-based search methodology for multi-objective nurse scheduling EK Burke, J Li, R Qu Annals of Operations Research 196, 91-109, 2012 | 67 | 2012 |
| Evolutionary crew scheduling with adaptive chromosomes Y Shen, K Peng, K Chen, J Li Transportation Research Part B: Methodological 56, 174-185, 2013 | 60 | 2013 |
| A hybrid medical text classification framework: Integrating attentive rule construction and neural network X Li, M Cui, J Li, R Bai, Z Lu, U Aickelin Neurocomputing 443, 345-355, 2021 | 57 | 2021 |
| A probabilistic model for vehicle scheduling based on stochastic trip times Y Shen, J Xu, J Li Transportation Research Part B: Methodological 85, 19-31, 2016 | 55 | 2016 |
| A self-adjusting algorithm for driver scheduling J Li Journal of Heuristics 11, 351-367, 2005 | 55 | 2005 |
| A control theoretical view of cloud elasticity: taxonomy, survey and challenges A Ullah, J Li, Y Shen, A Hussain Cluster Computing 21 (4), 1734-1764, 2018 | 49 | 2018 |
| The application of Bayesian optimization and classifier systems in nurse scheduling J Li, U Aickelin Parallel Problem Solving from Nature-PPSN VIII: 8th International Conference …, 2004 | 48 | 2004 |
| A machine learning approach to automatic detection of irregularity in skin lesion border using dermoscopic images AR Ali, J Li, G Yang, SJ O’Shea PeerJ Computer Science 6, e268, 2020 | 45 | 2020 |
Rong QuProfessor, University of Nottingham, UKVerified email at cs.nott.ac.uk
