| The characteristics of cloud computing C Gong, J Liu, Q Zhang, H Chen, Z Gong 2010 39th International Conference on Parallel Processing Workshops, 275-279, 2010 | 638 | 2010 |
| SARS-CoV-2 Omicron RBD shows weaker binding affinity than the currently dominant Delta variant to human ACE2 L Wu, L Zhou, M Mo, T Liu, C Wu, C Gong, K Lu, L Gong, W Zhu, Z Xu Signal transduction and targeted therapy 7 (1), 8, 2022 | 216 | 2022 |
| GPU accelerated simulations of 3D deterministic particle transport using discrete ordinates method C Gong, J Liu, L Chi, H Huang, J Fang, Z Gong Journal of Computational Physics 230 (15), 6010-6022, 2011 | 77 | 2011 |
| A parallel algorithm for the Riesz fractional reaction-diffusion equation with explicit finite difference method C Gong, W Bao, G Tang Fractional Calculus and Applied Analysis 16 (3), 654-669, 2013 | 59 | 2013 |
| An efficient parallel solution for Caputo fractional reaction–diffusion equation C Gong, W Bao, G Tang, B Yang, J Liu The Journal of Supercomputing 68 (3), 1521-1537, 2014 | 53 | 2014 |
| Developing a new mesh quality evaluation method based on convolutional neural network X Chen, J Liu, Y Pang, J Chen, L Chi, C Gong Engineering Applications of Computational Fluid Mechanics 14 (1), 391-400, 2020 | 37 | 2020 |
| Particle transport with unstructured grid on GPU C Gong, J Liu, H Huang, Z Gong Computer Physics Communications 183 (3), 588-593, 2012 | 34 | 2012 |
| An efficient parallel algorithm for Caputo fractional reaction-diffusion equation with implicit finite-difference method Q Wang, J Liu, C Gong, X Tang, G Fu, Z Xing Advances in Difference Equations 2016, 1-12, 2016 | 29 | 2016 |
| Transfer learning for deep neural network-based partial differential equations solving X Chen, C Gong, Q Wan, L Deng, Y Wan, Y Liu, B Chen, J Liu Advances in Aerodynamics 3, 1-14, 2021 | 28 | 2021 |
| Computational challenge of fractional differential equations and the potential solutions: a survey C Gong, W Bao, G Tang, Y Jiang, J Liu Mathematical Problems in Engineering 2015, 2015 | 28 | 2015 |
| Differential fault analysis on SHACAL-1 R Li, C Li, C Gong 2009 Workshop on Fault Diagnosis and Tolerance in Cryptography (FDTC), 120-126, 2009 | 28 | 2009 |
| An efficient SIMD compression format for sparse matrix‐vector multiplication X Chen, P Xie, L Chi, J Liu, C Gong Concurrency and Computation: Practice and Experience 30 (23), e4800, 2018 | 27 | 2018 |
| VBSF: a new storage format for SIMD sparse matrix–vector multiplication on modern processors Y Li, P Xie, X Chen, J Liu, B Yang, S Li, C Gong, X Gan, H Xu The Journal of Supercomputing 76, 2063-2081, 2020 | 26 | 2020 |
| A domain decomposition method for time fractional reaction-diffusion equation C Gong, W Bao, G Tang, Y Jiang, J Liu The Scientific World Journal 2014, 2014 | 26 | 2014 |
| Solving the Caputo fractional reaction-diffusion equation on GPU J Liu, C Gong, W Bao, G Tang, Y Jiang Discrete Dynamics in Nature and Society 2014, 2014 | 20 | 2014 |
| Parallel convolution algorithm using implicit matrix multiplication on multi-core CPUs Q Wang, S Mei, J Liu, C Gong 2019 international joint conference on neural networks (ijcnn), 1-7, 2019 | 18 | 2019 |
| An efficient radial basis functions mesh deformation with greedy algorithm based on recurrence Choleskey decomposition and parallel computing H Fang, Y Hu, C Yu, M Tie, J Liu, C Gong Journal of Computational Physics 377, 183-199, 2019 | 17 | 2019 |
| MGNet: a novel differential mesh generation method based on unsupervised neural networks X Chen, T Li, Q Wan, X He, C Gong, Y Pang, J Liu Engineering with Computers 38 (5), 4409-4421, 2022 | 16 | 2022 |
| MVE-Net: An automatic 3-D structured mesh validity evaluation framework using deep neural networks X Chen, J Liu, C Gong, S Li, Y Pang, B Chen Computer-Aided Design 141, 103104, 2021 | 15 | 2021 |
| Optimizing Sweep3D for graphic processor unit C Gong, J Liu, Z Gong, J Qin, J Xie Algorithms and Architectures for Parallel Processing: 10th International …, 2010 | 14 | 2010 |
