| Application of artificial neural networks and multiple linear regression on local bond stress equation of UHPC and reinforcing steel bars A Amini Pishro, S Zhang, D Huang, F Xiong, WY Li, Q Yang Scientific Reports 11 (1), 15061, 2021 | 32 | 2021 |
| Structural performance of EB-FRP-strengthened RC T-beams subjected to combined torsion and shear using ANN A Amini Pishro, Z Zhang, M Amini Pishro, W Liu, L Zhang, Q Yang Materials 15 (14), 4852, 2022 | 27 | 2022 |
| Node, place, ridership, and time model for rail-transit stations: A case study A Amini Pishro, Q Yang, S Zhang, M Amini Pishro, Z Zhang, Y Zhao, ... Scientific reports 12 (1), 16120, 2022 | 22 | 2022 |
| A data-enabled physics-informed neural network with comprehensive numerical study on solving neutron diffusion eigenvalue problems Y Yang, H Gong, S Zhang, Q Yang, Z Chen, Q He, Q Li Annals of Nuclear Energy 183, 109656, 2023 | 19 | 2023 |
| Neural networks based on power method and inverse power method for solving linear eigenvalue problems Q Yang, Y Deng, Y Yang, Q He, S Zhang Computers & Mathematics with Applications 147, 14-24, 2023 | 17* | 2023 |
| UHPC-PINN-parallel micro element system for the local bond stress–slip model subjected to monotonic loading AA Pishro, Z Zhang, MA Pishro, F Xiong, L Zhang, Q Yang, SJ Matlan Structures 46, 570-597, 2022 | 17 | 2022 |
| Structural behavior of FRP-retrofitted RC beams under combined torsion and bending A Amini Pishro, S Zhang, Z Zhang, Y Zhao, M Amini Pishro, L Zhang, ... Materials 15 (9), 3213, 2022 | 15 | 2022 |
| Physics-constrained neural network for solving discontinuous interface K-eigenvalue problem with application to reactor physics QH Yang, Y Yang, YT Deng, QL He, HL Gong, SQ Zhang Nuclear Science and Techniques 34 (10), 161, 2023 | 13 | 2023 |
| On the uncertainty analysis of the data-enabled physics-informed neural network for solving neutron diffusion eigenvalue problem Y Yang, H Gong, Q He, Q Yang, Y Deng, S Zhang Nuclear Science and Engineering 198 (5), 1075-1096, 2024 | 8 | 2024 |
| Moving sampling physics-informed neural networks induced by moving mesh PDE Y Yang, Q Yang, Y Deng, Q He Neural Networks 180, 106706, 2024 | 4 | 2024 |
| FDM-PINN: Physics-informed neural network based on fictitious domain method Q Yang, Y Yang, T Cui, Q He International Journal of Computer Mathematics 100 (3), 511-524, 2023 | 2 | 2023 |
| MMPDE-Net and Moving Sampling Physics-informed Neural Networks Based On Moving Mesh Method Y Yang, Q Yang, Y Deng, Q He arXiv preprint arXiv:2311.16167, 2023 | 1 | 2023 |
| Solving Multi-Group Neutron Diffusion Eigenvalue Problem with Decoupling Residual Loss Function S Yu, Q He, S Zhang, Q Yang, Y Yang, H Gong arXiv preprint arXiv:2411.15693, 2024 | | 2024 |