| A survey of sentiment analysis in social media L Yue, W Chen, X Li, W Zuo, M Yin Knowledge and Information Systems 60, 617-663, 2019 | 622 | 2019 |
| Animal migration optimization: an optimization algorithm inspired by animal migration behavior X Li, J Zhang, M Yin Neural computing and applications 24, 1867-1877, 2014 | 325 | 2014 |
| Modified cuckoo search algorithm with self adaptive parameter method X Li, M Yin Information Sciences 298, 80-97, 2015 | 233 | 2015 |
| Enhancing the performance of cuckoo search algorithm using orthogonal learning method X Li, J Wang, M Yin Neural Computing and Applications 24, 1233-1247, 2014 | 168 | 2014 |
| An opposition-based differential evolution algorithm for permutation flow shop scheduling based on diversity measure X Li, M Yin Advances in Engineering Software 55, 10-31, 2013 | 168 | 2013 |
| A novel hybrid K-harmonic means and gravitational search algorithm approach for clustering M Yin, Y Hu, F Yang, X Li, W Gu Expert Systems with Applications 38 (8), 9319-9324, 2011 | 151 | 2011 |
| Multiobjective binary biogeography based optimization for feature selection using gene expression data X Li, M Yin IEEE Transactions on NanoBioscience 12 (4), 343-353, 2013 | 141 | 2013 |
| A hybrid cuckoo search via Lévy flights for the permutation flow shop scheduling problem X Li, M Yin International Journal of Production Research 51 (16), 4732-4754, 2013 | 125 | 2013 |
| Two efficient local search algorithms for maximum weight clique problem Y Wang, S Cai, M Yin Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 114 | 2016 |
| Parameter estimation for chaotic systems by hybrid differential evolution algorithm and artificial bee colony algorithm X Li, M Yin Nonlinear Dynamics 77, 61-71, 2014 | 106 | 2014 |
| A perturb biogeography based optimization with mutation for global numerical optimization X Li, J Wang, J Zhou, M Yin Applied Mathematics and Computation 218 (2), 598-609, 2011 | 106 | 2011 |
| Parameter estimation for chaotic systems using the cuckoo search algorithm with an orthogonal learning method XT Li, MH Yin Chinese Physics B 21 (5), 050507, 2012 | 97* | 2012 |
| Self-adaptive constrained artificial bee colony for constrained numerical optimization X Li, M Yin Neural Computing and Applications 24, 723-734, 2014 | 95 | 2014 |
| Application of differential evolution algorithm on self-potential data X Li, M Yin PloS one 7 (12), e51199, 2012 | 90 | 2012 |
| An upper (lower) bound for Max (Min) CSP P Huang, M Yin Science China Information Sciences 57 (7), 1-9, 2014 | 84* | 2014 |
| Deep learning for heterogeneous medical data analysis L Yue, D Tian, W Chen, X Han, M Yin World Wide Web 23, 2715-2737, 2020 | 83 | 2020 |
| EDock: blind protein–ligand docking by replica-exchange monte carlo simulation W Zhang, EW Bell, M Yin, Y Zhang Journal of cheminformatics 12, 1-17, 2020 | 80 | 2020 |
| A novel objective function for job-shop scheduling problem with fuzzy processing time and fuzzy due date using differential evolution algorithm Y Hu, M Yin, X Li The International Journal of Advanced Manufacturing Technology 56, 1125-1138, 2011 | 71 | 2011 |
| Prediction of Protein Phosphorylation Sites by Using the Composition of k-Spaced Amino Acid Pairs X Zhao, W Zhang, X Xu, Z Ma, M Yin Public Library of Science 7 (10), e46302, 2012 | 69 | 2012 |
| Multi-operator based biogeography based optimization with mutation for global numerical optimization X Li, M Yin Computers & Mathematics with Applications 64 (9), 2833-2844, 2012 | 66 | 2012 |
Xiangtao LiProfessor, Jilin University, SMIEEEGeverifieerd e-mailadres voor jlu.edu.cn
