| Differential evolution with multi-population based ensemble of mutation strategies G Wu, R Mallipeddi, PN Suganthan, R Wang, H Chen Information Sciences 329, 329-345, 2016 | 576 | 2016 |
| Preference-inspired Co-evolutionary Algorithms for Many-objective Optimisation R Wang, R Purshouse, P Fleming IEEE Transcation on Evolutionary Computation 17 (4), 474-491, 2013 | 459 | 2013 |
| Deep Reinforcement Learning for Multi-objective Optimization KW Li, T Zhang, R Wang arXiv arXiv:1906.02386, 2019 - arxiv.org, 2019 | 371* | 2019 |
| Localized weighted sum method for many-objective optimization R Wang, Z Zhou, H Ishibuchi, T Liao, T Zhang IEEE Transactions on Evolutionary Computation, 2016 | 323 | 2016 |
| Decomposition-based algorithms using Pareto adaptive scalarizing methods R Wang, Q Zhang, T Zhang IEEE Transactions on Evolutionary Computation 20 (6), 821-837, 2016 | 280 | 2016 |
| Precise diagnosis of intraoperative frozen section is an effective method to guide resection strategy for peripheral small-sized lung adenocarcinoma S Liu, R Wang, Y Zhang, Y Li, C Cheng, Y Pan, J Xiang, Y Zhang, H Chen, ... Journal of clinical oncology 34 (4), 307-313, 2016 | 229 | 2016 |
| Optimal operation of a smart residential microgrid based on model predictive control by considering uncertainties and storage impacts Y Zhang, T Zhang, R Wang, Y Liu, B Guo Solar Energy 122, 1052-1065, 2015 | 177 | 2015 |
| Evolutionary many-objective optimization: A comparative study of the state-of-the-art K Li, R Wang, T Zhang, H Ishibuchi IEEE Access 6, 26194-26214, 2018 | 172 | 2018 |
| A dual-population-based evolutionary algorithm for constrained multiobjective optimization M Ming, A Trivedi, R Wang, D Srinivasan, T Zhang IEEE Transactions on Evolutionary Computation 25 (4), 739-753, 2021 | 166 | 2021 |
| FGFR1/3 tyrosine kinase fusions define a unique molecular subtype of non–small cell lung cancer R Wang, L Wang, Y Li, H Hu, L Shen, X Shen, Y Pan, T Ye, Y Zhang, ... Clinical Cancer Research 20 (15), 4107-4114, 2014 | 161 | 2014 |
| Hyperplane assisted evolutionary algorithm for many-objective optimization problems H Chen, Y Tian, W Pedrycz, G Wu, R Wang, L Wang IEEE transactions on cybernetics 50 (7), 3367-3380, 2019 | 157 | 2019 |
| Multi-objective optimal design of hybrid renewable energy systems using preference-inspired coevolutionary approach Z Shi, R Wang, T Zhang Solar Energy 118, 96-106, 2015 | 157 | 2015 |
| LKB1 inactivation elicits a redox imbalance to modulate non-small cell lung cancer plasticity and therapeutic response F Li, X Han, F Li, R Wang, H Wang, Y Gao, X Wang, Z Fang, W Zhang, ... Cancer cell 27 (5), 698-711, 2015 | 150 | 2015 |
| A review of hybrid evolutionary multiple criteria decision making methods RC Purshouse, K Deb, MM Mansor, S Mostaghim, R Wang 2014 IEEE congress on evolutionary computation (CEC), 1147-1154, 2014 | 150 | 2014 |
| Preference-inspired co-evolutionary algorithms using weight vectors R Wang, RC Purshouse, PJ Fleming European Journal of Operational Research 243 (2), 423-441, 2015 | 144 | 2015 |
| Model predictive control-based operation management for a residential microgrid with considering forecast uncertainties and demand response strategies Y Zhang, R Wang, T Zhang, Y Liu, B Guo IET Generation, Transmission & Distribution 10 (10), 2367-2378, 2016 | 139 | 2016 |
| Minor components of micropapillary and solid subtypes in lung adenocarcinoma are predictors of lymph node metastasis and poor prognosis Y Zhao, R Wang, X Shen, Y Pan, C Cheng, Y Li, L Shen, Y Zhang, H Li, ... Annals of surgical oncology 23, 2099-2105, 2016 | 136 | 2016 |
| Frequency of well-identified oncogenic driver mutations in lung adenocarcinoma of smokers varies with histological subtypes and graduated smoking dose H Li, Y Pan, Y Li, C Li, R Wang, H Hu, Y Zhang, T Ye, L Wang, L Shen, ... Lung Cancer 79 (1), 8-13, 2013 | 136 | 2013 |
| Uncertainty-resistant stochastic MPC approach for optimal operation of CHP microgrid Y Zhang, F Meng, R Wang, B Kazemtabrizi, J Shi Energy 179, 1265-1278, 2019 | 120 | 2019 |
| Weighted Indicator-Based Evolutionary Algorithm for Multimodal Multiobjective Optimization W Li, T Zhang, R Wang, H Ishibuchi IEEE Transactions on Evolutionary Computation 25 (6), 1064-1078, 2021 | 117 | 2021 |
Wenhua LiNational University of Defense TechnologyVerified email at nudt.edu.cn
kaiwen liNational university of defense technologyVerified email at nudt.edu.cn
Guohua WuCentral South UniversityVerified email at nudt.edu.cn
Hisao IshibuchiSouthern University of Science and TechnologyVerified email at sustech.edu.cn
Robin PurshouseUniversity of SheffieldVerified email at sheffield.ac.uk
Peter J FlemingProfessor of Industrial Systems and Control, University of SheffieldVerified email at sheffield.ac.uk
Ling WangProfessor of Automation, Tsinghua UniversityVerified email at mail.tsinghua.edu.cn
Yan ZhangNEUVerified email at nudt.edu.cn
Jianmai ShiNational University of Defense TechnologyVerified email at nudt.edu.cn
R. Prof. P. N. Suganthan, FIEEE'2015,...KINDI Computing Research, Qatar University (Hon Doc: U of Maribor; BA/MA: Cambridge U, UKVerified email at qu.edu.qa
Tianjun LiaoPhD, IRIDIA, Université libre de BruxellesVerified email at ulb.ac.be
Jian XiongSchool of Business Administration, Southwestern University of Finance and EconomicsVerified email at swufe.edu.cn
Fanlin MengUniversity of ExeterVerified email at exeter.ac.uk
Qingfu ZhangChair Professor, FIEEE, City University of Hong KongVerified email at cityu.edu.hk
Rammohan MallipeddiProfessor, Department of Artificial Intelligence, School of Electronics, KyungpookVerified email at knu.ac.kr
Yuhui ShiChair Professor, Computer Science and Engineering, Southern University of Science and TechnologyVerified email at ieee.org
Sanaz MostaghimOtto-von-Guericke Universität Magdeburg and Fraunhofer IVI DresdenVerified email at ovgu.de