| CircR2Disease: a manually curated database for experimentally supported circular RNAs associated with various diseases C Fan, X Lei, Z Fang, Q Jiang, FX Wu Database 2018, 2018 | 158 | 2018 |
| Protein complex identification through Markov clustering with firefly algorithm on dynamic protein–protein interaction networks X Lei, F Wang, FX Wu, A Zhang, W Pedrycz Information Sciences 329, 303-316, 2016 | 85 | 2016 |
| Solving non-convex/non-smooth economic load dispatch problems via an enhanced particle swarm optimization Q Qin, S Cheng, X Chu, X Lei, Y Shi Applied Soft Computing 59, 229-242, 2017 | 83 | 2017 |
| Prediction of CircRNA-disease associations using KATZ model based on heterogeneous networks C Fan, X Lei, FX Wu International journal of biological sciences 14 (14), 1950, 2018 | 82 | 2018 |
| PWCDA: path weighted method for predicting circRNA-disease associations X Lei, Z Fang, L Chen, FX Wu International journal of molecular sciences 19 (11), 3410, 2018 | 72 | 2018 |
| Air robot path planning based on intelligent water drops optimization H Duan, S Liu, X Lei 2008 IEEE international joint conference on neural networks (IEEE World …, 2008 | 68 | 2008 |
| A quarter century of particle swarm optimization S Cheng, H Lu, X Lei, Y Shi Complex & Intelligent Systems 4, 227-239, 2018 | 58 | 2018 |
| Identification of dynamic protein complexes based on fruit fly optimization algorithm X Lei, Y Ding, H Fujita, A Zhang Knowledge-Based Systems 105, 270-277, 2016 | 58 | 2016 |
| Predicting essential proteins based on RNA-Seq, subcellular localization and GO annotation datasets X Lei, J Zhao, H Fujita, A Zhang Knowledge-Based Systems 151, 136-148, 2018 | 55 | 2018 |
| deepDriver: predicting cancer driver genes based on somatic mutations using deep convolutional neural networks P Luo, Y Ding, X Lei, FX Wu Frontiers in genetics 10, 13, 2019 | 52 | 2019 |
| Dynamic path planning of mobile robots based on ABC algorithm Q Ma, X Lei Artificial Intelligence and Computational Intelligence: International …, 2010 | 49 | 2010 |
| EpiSIM: simulation of multiple epistasis, linkage disequilibrium patterns and haplotype blocks for genome-wide interaction analysis J Shang, J Zhang, X Lei, W Zhao, Y Dong Genes & Genomics 35, 305-316, 2013 | 48 | 2013 |
| Identifying cancer-specific circRNA–RBP binding sites based on deep learning Z Wang, X Lei, FX Wu Molecules 24 (22), 4035, 2019 | 46 | 2019 |
| Variational graph auto-encoders for miRNA-disease association prediction Y Ding, LP Tian, X Lei, B Liao, FX Wu Methods 192, 25-34, 2021 | 42 | 2021 |
| A comprehensive survey of brain storm optimization algorithms S Cheng, Y Sun, J Chen, Q Qin, X Chu, X Lei, Y Shi 2017 IEEE Congress on Evolutionary Computation (CEC), 1637-1644, 2017 | 42 | 2017 |
| Protein complex detection with semi-supervised learning in protein interaction networks L Shi, X Lei, A Zhang Proteome science 9 (1), 1-9, 2011 | 40 | 2011 |
| Improved artificial bee colony algorithm and its application in data clustering X Lei, X Huang, A Zhang 2010 IEEE fifth international conference on bio-inspired computing: theories …, 2010 | 39 | 2010 |
| Integrating random walk with restart and k-Nearest Neighbor to identify novel circRNA-disease association X Lei, C Bian Scientific reports 10 (1), 1-9, 2020 | 38 | 2020 |
| Clustering and overlapping modules detection in PPI network based on IBFO X Lei, S Wu, L Ge, A Zhang Proteomics 13 (2), 278-290, 2013 | 38 | 2013 |
| Moth–flame optimization-based algorithm with synthetic dynamic PPI networks for discovering protein complexes X Lei, M Fang, H Fujita Knowledge-Based Systems 172, 76-85, 2019 | 36 | 2019 |
FangXiang WUUniversity of Saskatchewan在 usask.ca 的电子邮件经过验证
