| The tomato genome sequence provides insights into fleshy fruit evolution xx Tomato Genome Consortium Nature 485 (7400), 635, 2012 | 3386 | 2012 |
| A hybrid quantum-inspired immune algorithm for multiobjective optimization J Gao, J Wang Applied Mathematics and Computation 217 (9), 4754-4770, 2011 | 58 | 2011 |
| WBMOAIS: A novel artificial immune system for multiobjective optimization J Gao, J Wang Computers & Operations Research 37 (1), 50-61, 2010 | 52 | 2010 |
| A new parallel genetic algorithm for solving multiobjective scheduling problems subjected to special process constraint J Gao, G He, Y Wang The International Journal of Advanced Manufacturing Technology 43, 151-160, 2009 | 46 | 2009 |
| 长期施肥对水稻土土壤有机碳矿化的影响 陈涛， 郝晓晖， 杜丽君， 林杉， 冯明磊， 胡荣桂， 高璟贇 应用生态学报 19 (07), 1494, 2008 | 43 | 2008 |
| A novel artificial immune system for solving multiobjective scheduling problems subject to special process constraint J Gao Computers & Industrial Engineering 58 (4), 602-609, 2010 | 40 | 2010 |
| 畜牧业可持续发展的综合评价 史光华， 孙振钧， 高吉喜 应用生态学报, 909, 2004 | 36* | 2004 |
| Research on the conjugate gradient algorithm with a modified incomplete Cholesky preconditioner on GPU J Gao, R Liang, J Wang Journal of parallel and distributed computing 74 (2), 2088-2098, 2014 | 31 | 2014 |
| A quantum-inspired artificial immune system for the multiobjective 0–1 knapsack problem J Gao, G He, R Liang, Z Feng Applied Mathematics and Computation 230, 120-137, 2014 | 29 | 2014 |
| An unconditionally stable parallel difference scheme for parabolic equations J Gao, G He Applied mathematics and computation 135 (2-3), 391-398, 2003 | 27 | 2003 |
| An efficient sparse approximate inverse preconditioning algorithm on GPU G He, R Yin, J Gao Concurrency and Computation: Practice and Experience 32 (7), e5598, 2020 | 25 | 2020 |
| A multi-GPU parallel optimization model for the preconditioned conjugate gradient algorithm J Gao, Y Zhou, G He, Y Xia Parallel Computing 63, 1-16, 2017 | 24 | 2017 |
| A thread-adaptive sparse approximate inverse preconditioning algorithm on multi-GPUs J Gao, Q Chen, G He Parallel Computing 101, 102724, 2021 | 23 | 2021 |
| A novel multi–graphics processing unit parallel optimization framework for the sparse matrix‐vector multiplication J Gao, Y Wang, J Wang Concurrency and Computation: Practice and Experience 29 (5), e3936, 2017 | 22 | 2017 |
| GPU-accelerated preconditioned GMRES method for two-dimensional Maxwell's equations J Gao, K Wu, Y Wang, P Qi, G He International Journal of Computer Mathematics 94 (10), 2122-2144, 2017 | 20 | 2017 |
| An ensemble of random decision trees with local differential privacy in edge computing X Wu, L Qi, J Gao, G Ji, X Xu Neurocomputing 485, 181-195, 2022 | 19 | 2022 |
| A novel CSR‐based sparse matrix‐vector multiplication on GPUs G He, J Gao Mathematical Problems in Engineering 2016 (1), 8471283, 2016 | 19 | 2016 |
| A novel weight-based immune genetic algorithm for multiobjective optimization problems G He, J Gao Advances in Neural Networks–ISNN 2009: 6th International Symposium on Neural …, 2009 | 18 | 2009 |
| Multi-label pattern image retrieval via attention mechanism driven graph convolutional network Y Li, H Zhou, Y Yin, J Gao Proceedings of the 29th ACM international conference on multimedia, 300-308, 2021 | 16 | 2021 |
| A weight-based multiobjective immune algorithm: WBMOIA J Gao, L Fang, J Wang Engineering Optimization 42 (8), 719-745, 2010 | 16 | 2010 |
